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Wang W, Li C, Xiao H, Li Z, Zhao Y. Relative humidity-dependent evolution of molecular composition of α-pinene secondary organic aerosol upon heterogeneous oxidation by hydroxyl radicals. J Environ Sci (China) 2025; 148:210-220. [PMID: 39095158 DOI: 10.1016/j.jes.2023.08.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 08/19/2023] [Accepted: 08/20/2023] [Indexed: 08/04/2024]
Abstract
Heterogeneous oxidation by gas-phase oxidants is an important chemical transformation pathway of secondary organic aerosol (SOA) and plays an important role in controlling the abundance, properties, as well as climate and health impacts of aerosols. However, our knowledge on this heterogeneous chemistry remains inadequate. In this study, the heterogeneous oxidation of α-pinene ozonolysis SOA by hydroxyl (OH) radicals was investigated under both low and high relative humidity (RH) conditions, with an emphasis on the evolution of molecular composition of SOA and its RH dependence. It is found that the heterogeneous oxidation of SOA at an OH exposure level equivalent to 12 hr of atmospheric aging leads to particle mass loss of 60% at 25% RH and 95% at 90% RH. The heterogeneous oxidation strongly changes the molecular composition of SOA. The dimer-to-monomer signal ratios increase dramatically with rising OH exposure, in particular under high RH conditions, suggesting that aerosol water stimulates the reaction of monomers with OH radicals more than that of dimers. In addition, the typical SOA tracer compounds such as pinic acid, pinonic acid, hydroxy pinonic acid and dimer esters (e.g., C17H26O8 and C19H28O7) have lifetimes of several hours against heterogeneous OH oxidation under typical atmospheric conditions, which highlights the need for the consideration of their heterogeneous loss in the estimation of monoterpene SOA concentrations using tracer-based methods. Our study sheds lights on the heterogeneous oxidation chemistry of monoterpene SOA and would help to understand their evolution and impacts in the atmosphere.
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Affiliation(s)
- Wei Wang
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Chenxi Li
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Huayun Xiao
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Ziyue Li
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
| | - Yue Zhao
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
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2
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Wang R, Xiao H, Xu Y, Long AM, Zhou M, Guan WK, Xiao HY, Xiao HW. Dual isotope analysis reveals the COVID-19 lockdown impact on nitrate aerosol sources and formation pathways in Shanghai. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 952:175839. [PMID: 39218099 DOI: 10.1016/j.scitotenv.2024.175839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/11/2024] [Revised: 08/22/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024]
Abstract
Nitrate (NO3-) is an important contributor to PM2.5 which can adversely affect the environment and human health. A noticeable decrease in NOx concentrations has been reported due to the lockdown measures implemented to curb the spread of Corona Virus Disease 2019 (COVID-19). However, questions remain, regarding the nonlinear relationship between NOx and NO3-. Here, we collected PM2.5 samples in two periods, before and during the lockdown of COVID-19 in Shanghai. Dual isotopes (δ18O-NO3- and δ15N-NO3-) of NO3- were measured to investigate the formation pathways and potential sources of NO3-. The results showed that the concentration of NO3- decreased significantly during the lockdown period compared to the period before the lockdown. Additionally, the hydroxyl pathway was the dominant contributor to NO3- production during the lockdown period, while N2O5 hydrolyses dominated the formation of NO3- before the lockdown. This change is largely attributable to alterations in the oxidative potential of the environment. In comparison to the period preceding the lockdown, the relative contributions of each NOx source remained largely unchanged throughout the lockdown periods. Nevertheless, the concentration of NO3- contributed by each NOx source exhibited a notable decline, particularly the mobile sources and coal combustion. Furthermore, the reduction extent of NO3- due to the lockdown period was also greater than the reduction during the Clean Air Actions (2013-2017). Our findings provide evidence that the COVID-19 lockdown led to a decrease in NO3- concentration due to changes in the formation pathway and reductions in NOx emissions from various sources.
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Affiliation(s)
- Rong Wang
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Hao Xiao
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yu Xu
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Ai-Min Long
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Min Zhou
- Key Laboratory of the Cause and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environmental Sciences, Shanghai, China
| | - Wen-Kai Guan
- school of Oceanography, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Hua-Yun Xiao
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Hong-Wei Xiao
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China.
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3
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Lan L, Quan J, Ma P, Pan Y, Lian C, Wang W, Liao Z, Wang Q, Cheng Z, Dai L, Jia X, Zhang X. Strong upwards transport of HONO in daytime over urban area of Beijing, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175590. [PMID: 39159692 DOI: 10.1016/j.scitotenv.2024.175590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2024] [Revised: 08/14/2024] [Accepted: 08/15/2024] [Indexed: 08/21/2024]
Abstract
Strong upwards transport of Nitrous acid (HONO) in daytime over urban area of Beijing was observed based on combined observations of HONO, NOx (NO and NO2), nitrate, and PM2.5 at two heights (90 m and 528 m) on the highest building of Beijing (528 m above ground). The mean HONO at the 528 m (0.26 ppb) was lower than that at the 90 m (0.54 ppb), and a clear difference in diurnal variation of HONO between the two heights was observed. HONO at the 90 m showed two peaks in the morning rush hour and mid-night, but decreased sharply in daytime (e.g., from 0.62 ppb at 08:00 to 0.34 at 14:00); while the decreasing trend of HONO in daytime significantly weakened at the 528 m (e.g., from 0.26 ppb at 08:00 to 0.27 at 14:00).With PBL development in the morning, HONO in low layer was upwards transported to the 528 m, which compensated partly HONO loss via photolysis and resulted in a relatively stable concentration at the 528 m in daytime. A positive relationship of the bulk Richardson number (Ri) in 0-500 m with the difference of HONO between the two heights during daytime (08:00-18:00) confirmed the above analyses. HONO budget analysis indicated that a strong unknown HONO source existed at the 528 m in daytime, which was negative correlated to the Ri. These results further confirmed that vertical transport of HONO from low layer was a potential HONO source at the 528 m. Moreover, the contribution of photolysis of particulate nitrate significantly increased at the 528 m. Its contribution in total HONO sources increased from 11.9 % at the 90 m to 16.0 % at the 528 m.
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Affiliation(s)
- Linhui Lan
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China; Institute of Urban Meteorology, Chinese Meteorological Administration (CMA), Beijing 100089, China
| | - Jiannong Quan
- Institute of Urban Meteorology, Chinese Meteorological Administration (CMA), Beijing 100089, China.
| | - Pengkun Ma
- Institute of Urban Meteorology, Chinese Meteorological Administration (CMA), Beijing 100089, China
| | - Yubing Pan
- Institute of Urban Meteorology, Chinese Meteorological Administration (CMA), Beijing 100089, China
| | - Chaofan Lian
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Weigang Wang
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Beijing National Laboratory for Molecular Sciences (BNLMS), Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Zhiheng Liao
- Institute of Urban Meteorology, Chinese Meteorological Administration (CMA), Beijing 100089, China
| | - Qianqian Wang
- Institute of Urban Meteorology, Chinese Meteorological Administration (CMA), Beijing 100089, China
| | - Zhigang Cheng
- Institute of Urban Meteorology, Chinese Meteorological Administration (CMA), Beijing 100089, China
| | - Lindong Dai
- Institute of Urban Meteorology, Chinese Meteorological Administration (CMA), Beijing 100089, China
| | - Xingcan Jia
- Institute of Urban Meteorology, Chinese Meteorological Administration (CMA), Beijing 100089, China
| | - Xiaoling Zhang
- Plateau Atmosphere and Environment Key Laboratory of Sichuan Province, School of Atmospheric Sciences, Chengdu University of Information Technology, Chengdu 610225, China.
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Luo Z, Zang H, Li Z, Li C, Zhao Y. Species-specific effect of particle viscosity and particle-phase reactions on the formation of secondary organic aerosol. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 950:175207. [PMID: 39097012 DOI: 10.1016/j.scitotenv.2024.175207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 07/30/2024] [Accepted: 07/31/2024] [Indexed: 08/05/2024]
Abstract
Secondary organic aerosol (SOA) is a major component of atmospheric fine particulate matter. Both particle viscosity and particle-phase chemistry play a crucial role in the formation and evolution of SOA; however, our understanding on how these two factors together with gas-phase chemistry collectively determine the formation of SOA is still limited. Here we developed a kinetic aerosol multilayer model coupled with gas-phase and particle-phase chemistry to simulate SOA formation. We take the atmospherically important α-pinene + OH oxidation system as an example application of the model. The simulations show that although the particle viscosity has negligible to small influences on the total SOA mass concentration, it strongly changes the concentration and distribution of individual compounds within the particle. This complicated effect of particle viscosity on SOA formation is a combined result of inhibited condensation or evaporation of specific organics due to slowed particle-phase diffusion. Furthermore, the particle-phase reactions alter the volatility and abundance of specific compounds and exacerbate their non-uniform distribution in highly viscous particles. Our results highlight an important species-specific effect of particle viscosity and particle-phase chemistry on SOA formation and demonstrate the capability of our model for quantifying such complicated effects on SOA formation and evolution.
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Affiliation(s)
- Zekun Luo
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Han Zang
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Ziyue Li
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China; State Environmental Protection Key Laboratory of Formation and Prevention of the Urban Air Pollution Complex, Shanghai Academy of Environment Sciences, Shanghai 200233, China
| | - Chenxi Li
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Yue Zhao
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
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5
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Li Y, Ren H, Zhou S, Pei C, Gao M, Liang Y, Ye D, Sun X, Li F, Zhao J, Hang J, Fan S, Fu P. Tower-based profiles of wintertime secondary organic aerosols in the urban boundary layer over Guangzhou. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 950:175326. [PMID: 39117218 DOI: 10.1016/j.scitotenv.2024.175326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Revised: 07/20/2024] [Accepted: 08/04/2024] [Indexed: 08/10/2024]
Abstract
Secondary organic aerosol (SOA) accounts for a large fraction of fine particulate matter (PM2.5), but the lack of vertical observations of SOA in the urban boundary layer (UBL) limits a comprehensive understanding of its sources and formation mechanisms. In this study, PM2.5 samples were simultaneously collected at 3 m, 118 m, and 488 m on the Canton Tower in Guangzhou during winter. Typical SOA tracers, including oxidation products of isoprene (SOAI), monoterpene (SOAM), sesquiterpene (SOAS), and toluene (ASOA), were investigated alongside meteorological parameters and gaseous/particulate pollutants. Total concentrations of SOA tracers showed an increasing trend with height, with daytime levels exceeding nighttime levels. C5-alkene triols and 2-methylglyceric acid displayed a significant increase with height, potentially affected by nighttime chemistry in the residual layer, determining the overall vertical trend of SOAI tracers. Concentrations of later-generation SOAM (SOAM_S) tracers also increased with height, while those of first-generation SOAM (SOAM_F) tracers decreased, indicating relatively aged SOAM in the upper layers. SOAS and ASOA tracers exhibited higher enhancement under polluted conditions, likely impacted by biomass burning and anthropogenic emissions. The yields of SOAI tracers varied with temperature in the vertical profile. The formation of SOAM_F tracers was negatively correlated with relative humidity, liquid water content, and pH, affecting their vertical distributions. The effect of O3 on SOA formation enhanced significantly with height, influenced by air mass transport, and likely contributed to the higher yields of SOA in the upper layer. However, at ground level, SOA formation was primarily driven by high local emissions of both NOx and volatile organic compounds. We also observed the roles of SO2 in SOA generation, particularly at 118 m. This study demonstrates the vertical diurnal characteristics of SOA tracers in the UBL, highlighting the varying effects of meteorological conditions and anthropogenic pollutants on SOA formation at different heights.
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Affiliation(s)
- Yao Li
- School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
| | - Hong Ren
- Air Environmental Modeling and Pollution Controlling Key Laboratory of Sichuan Higher Education Institute, Chengdu University of Information Technology, Chengdu 610225, China
| | - Shengzhen Zhou
- School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China; Guangdong Provincial Field Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai 519082, China; Key Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education, Zhuhai 519082, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China.
| | - Chenglei Pei
- Guangzhou Sub-branch of Guangdong Ecological and Environmental Monitoring Center, Guangzhou 510308, China
| | - Min Gao
- School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
| | - Yuxuan Liang
- School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
| | - Dian Ye
- School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
| | - Xijing Sun
- School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
| | - Fenghua Li
- School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
| | - Jun Zhao
- School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China; Guangdong Provincial Field Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai 519082, China; Key Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education, Zhuhai 519082, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
| | - Jian Hang
- School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China; Guangdong Provincial Field Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai 519082, China; Key Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education, Zhuhai 519082, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
| | - Shaojia Fan
- School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China; Guangdong Provincial Field Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary, Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Sun Yat-sen University, Zhuhai 519082, China; Key Laboratory of Tropical Atmosphere-Ocean System, Ministry of Education, Zhuhai 519082, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China
| | - Pingqing Fu
- Institute of Surface-Earth System Science, Tianjin University, Tianjin 300072, China.
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Zhang L, Zhang X, Zhou H. Quantitative assessment of benefits and losses from the influence of atmospheric nitrogen deposition on cropland ecosystems in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 949:175120. [PMID: 39084363 DOI: 10.1016/j.scitotenv.2024.175120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 07/25/2024] [Accepted: 07/27/2024] [Indexed: 08/02/2024]
Abstract
China is facing severe atmospheric nitrogen (N) deposition. Assessing the economic benefits and damage costs induced by N deposition can help to develop effective mitigation strategies for N emissions. A net economic benefit method was used to assess the economic impact of N deposition in cropland ecosystems in China in 2020. The results showed that atmospheric N deposition gained an economic benefit of $4896.0 million through increased yields of major grain crops and a climate benefit of $1259.3 million through cooling effects. On the other hand, N deposition induced economic losses of $6257.1 and $1063.4 million, respectively to human health and ecosystem health; excessive N deposition induced damages of $137.8 million due to reduced crop yields and $168.4 million due to the increased greenhouse gas emissions. In general, the net economic benefit was -$1471.5 million (-$5324.7 ∼ $921.4 million), indicating that China is suffering economic losses due to N deposition in cropland ecosystems. These results would provide scientific data for the government to enact efficient measures to reduce N pollution.
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Affiliation(s)
- Liuzhen Zhang
- International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
| | - Xiuying Zhang
- International Institute for Earth System Science, Nanjing University, Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China.
| | - Haisheng Zhou
- International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
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7
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Cheng X, Yu J, Su D, Gao S, Chen L, Sun Y, Kong S, Wang H. Spatial source, simulating improvement, and short-term health effect of high PM 2.5 exposure during mutation event in the key urban agglomeration regions in China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 359:124738. [PMID: 39147223 DOI: 10.1016/j.envpol.2024.124738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2024] [Revised: 08/11/2024] [Accepted: 08/13/2024] [Indexed: 08/17/2024]
Abstract
Air quality in China has significantly improved owing to the effective implementation of pollution control measures. However, mutation events caused by short-term spikes in PM2.5 in urban agglomeration regions continue to occur frequently. Identifying the spatial sources and influencing factors, as well as improving the prediction accuracy of high PM2.5 during mutation events, are crucial for public health. In this study, we firstly introduced discrete wavelet transform (DWT) to identify the mutation events with high PM2.5 concentration in the four key urban agglomerations, and evaluated the spatial sources for the polluted scenario using Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model. Additionally, DWT was combined with a widely used artificial neural network (ANN) to improve the prediction accuracy of PM2.5 concentration seven days in advance (seven-day forecast). Results indicated that mutation events commonly occurred in the northern regions during winter time, which were under the control of both short-range transportation of dirty airmass as well as negative meteorology conditions. Compared with the ANN model alone, the average band errors decreased by 9% when using DWT-ANN model. The average correlation coefficient (R) and root mean square error (RMSE) obtained using the DWT-ANN improved by 10% and 12% compared to those obtained using the ANN, indicating the efficiency and accuracy of simulating PM2.5, by combining the DWT and ANN. The short-term mortality during mutation events was then calculated, with the total averted all-cause, cardiovascular, and respiratory deaths in the four regions, being 4751, 2554, and 582 persons, respectively. A declining trend in prevented deaths from 2018 to 2020 demonstrated that the pollution intensity during mutation events gradually decreased owing to the implementation of the Three-Year Action Plan to Win the Blue Sky Defense War. The method proposed in this study can be used by policymakers to take preventive measures in response to a sudden increase in PM2.5, thereby ensuring public health.
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Affiliation(s)
- Xin Cheng
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China.
| | - Jie Yu
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
| | - Die Su
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
| | - Shuang Gao
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China.
| | - Li Chen
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
| | - Yanling Sun
- School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin, China
| | - Shaofei Kong
- Department of Atmospheric Sciences, School of Environmental Studies, China University of Geosciences, Wuhan, 430074, China.
| | - Hui Wang
- Tianjin Changhai Environmental Monitoring Service Corporation, Tianjin, China
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Zhang Y, Wang S, Kang P, Sun C, Yang W, Wang M, Yin S, Zhang R. Atmospheric H 2O 2 during haze episodes in a Chinese megacity: Concentration, source, and implication on sulfate production. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174391. [PMID: 38955272 DOI: 10.1016/j.scitotenv.2024.174391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 06/28/2024] [Accepted: 06/28/2024] [Indexed: 07/04/2024]
Abstract
Atmospheric hydrogen peroxide (H2O2), as an important oxidant, plays a key role in atmospheric chemistry. To reveal its characteristics in polluted areas, comprehensive observations were conducted in Zhengzhou, China from February 22 to March 4, 2019, including heavy pollution days (HP) and light pollution days (LP). High NO concentrations (18 ± 26 ppbv) were recorded in HP, preventing the recombination reaction of two HO2• radicals. Surprisingly, higher concentrations of H2O2 were observed in HP (1.5 ± 0.6 ppbv) than those in LP (1.2 ± 0.6 ppbv). In addition to low wind speed and relative humidity, the elevated H2O2 in HP could be mainly attributed to intensified particle-phase photoreactions and biomass burning. In terms of sulfate formation, transition-metal ions (TMI)-catalyzed oxidation emerged as the predominant oxidant pathway in both HP and LP. Note that the average H2O2 oxidation rate increased from 3.6 × 10-2 in LP to 1.1 × 10-1 μg m-3 h-1 in HP. Moreover, the oxidation by H2O2 might exceed that of TMI catalysis under specific conditions, emerging as the primary driver of sulfate formation.
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Affiliation(s)
- Yunxiang Zhang
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450000, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450000, China
| | - Shenbo Wang
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450000, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450000, China.
| | - Panru Kang
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Chuifu Sun
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450000, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450000, China
| | - Wenjuan Yang
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450000, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450000, China
| | - Mingkai Wang
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450000, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450000, China
| | - Shasha Yin
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450000, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450000, China
| | - Ruiqin Zhang
- Research Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450000, China; School of Ecology and Environment, Zhengzhou University, Zhengzhou 450000, China.
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9
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Zhang Y, Han Y, Dong L, Deng X, Ye D, Shao S. Spatiotemporal variations and source on black carbon over Chongqing, China: Long-term changes and observational experiments. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174127. [PMID: 38908574 DOI: 10.1016/j.scitotenv.2024.174127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 06/16/2024] [Accepted: 06/17/2024] [Indexed: 06/24/2024]
Abstract
Black carbon (BC), as a critical light-absorbing constituent within aerosols, exerts profound effects on atmospheric radiation balance, climate, air quality and human health, etc. And it is also a long-standing focus in rapidly developing megacities. So, this study primarily focuses on investigating the variation characteristics and underlying causes of BC in Chongqing (31,914,300 population), which is one of the municipalities directly under the central government of China, serving as a pivotal economic hub in southwest China. Utilizing MERRA-2 reanalysis data, we examined the long-term changes of atmospheric BC over Chongqing 20 years (from 2002 to 2021). Moreover, BC mass concentration observations were conducted using an Aethalometer (AE-33) from March 15 to June 14, 2021 in Liangping District, Chongqing. The statistical analysis over the last 20 years reveals an annual mean BC concentration in Chongqing of 3.42 ± 0.20 μg/m3, exhibiting growth from 2002 to 2008, followed by a decline from 2008 to 2021. Monthly concentration displays a "U-shaped" trend, with the lowest values occurring in summer and the highest in winter. Due to topographical and meteorological influences, local emissions primarily contribute to BC pollution, characterized by a spatial distribution pattern of high in the west and low in the east. Ground observation indicates a distinct dual-peaked pattern in the diurnal variation of BC, with peak concentrations aligning with periods of high traffic emissions. The variation in BC is significantly influenced by meteorological conditions (wind, temperature, atmospheric boundary layer) and local pollution sources (predominantly traffic). Furthermore, extreme events analysis suggests that local emissions and regional transport (with higher contributions from Chongqing and the Sichuan Basin) predominantly contributed to BC pollution. This study effectively makes up for the deficiency in analyzing the distribution and sources of BC pollution in Chongqing, providing valuable scientific insights for the atmospheric environment of megacities.
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Affiliation(s)
- Yurong Zhang
- Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
| | - Yong Han
- Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China.
| | - Li Dong
- Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
| | - Ximing Deng
- Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
| | - Dan Ye
- Advanced Science & Technology of Space and Atmospheric Physics Group (ASAG), School of Atmospheric Sciences, Sun Yat-sen University, Zhuhai 519082, China
| | - Shiyong Shao
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China
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10
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Xia Y, Yang Z, Jiang X, Wang H. The road to carbon neutrality in China's building sector. iScience 2024; 27:110664. [PMID: 39224517 PMCID: PMC11367530 DOI: 10.1016/j.isci.2024.110664] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2024] [Revised: 06/22/2024] [Accepted: 07/31/2024] [Indexed: 09/04/2024] Open
Abstract
The building sector is integral to climate change mitigation in China as well as the globe. By considering the impact of green innovation, we explore the long-term trend of carbon emissions in China's building sector until 2060, encompassing its entire life cycle. Results show that CO2 emissions of China's building sector will peak at 6.98-7.69 Bt in 2035 and maintain at 1.11 Bt in 2060 under the business-as-usual (BAU) scenario. The "3060 dual carbon goal" will only be achieved under the technological breakthrough (TB) scenario. These findings show that existing or relatively lax policies are insufficient to achieve the "3060" goal for the building sector. China should actively pursue green technological innovation throughout the building sector's life cycle, with a focus on accelerating the green and low-carbon production of key products, such as steel and cement, at the building material production stage.
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Affiliation(s)
- Yan Xia
- Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
- School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ziyan Yang
- Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China
- School of Public Policy and Management, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xuemei Jiang
- School of Economics, Capital University of Economics and Business, Beijing 100070, China
| | - Huijuan Wang
- School of Statistics and Mathematics, Central University of Finance and Economics, Beijing 100081, China
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11
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Dai C, Zhang X, Lian W, Wei H, Liu J, Zou S. Comparison study between nitrate and sulfate aerosols and their coating effect on the scattering properties of mineral aerosol. Sci Rep 2024; 14:21756. [PMID: 39294216 PMCID: PMC11410965 DOI: 10.1038/s41598-024-71532-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Accepted: 08/28/2024] [Indexed: 09/20/2024] Open
Abstract
The existing numerical models generally employ sulfate instead of nitrate to simulate the scattering properties of aerosol, the corresponding radiative deviation needs to be evaluated urgently. Moreover, the sophisticated mixture of nitrate, sulfate, and mineral particles is formed through a series of chemical reactions, which makes it extremely challenging to understand the scattering properties of atmospheric aerosols. In this study, the core-shell ellipsoid model is used to flexibly characterize the morphology and mixed structures of nitrate, sulfate, and mineral in the fine mode radius range. The T-matrix method is used to compare the scattering properties of nitrate, sulfate, and mineral within different morphologies and mixing states at four selected wavelengths (0.44, 0.675, 0.87, and 1.02 μm). The results show that the difference of mean extinction efficiency factor (< Qe >) and mean single scattering albedo (< ω >) between nitrate and sulfate-containing particles is very small, mainly within 2%. However, their mean scattering phase function P11(θ) is quite different. The difference of forward scattering phase function P11(0) is up to 7%, while the difference of backward scattering phase function P11(π) can reach more than 25%. Overall, particle morphology and incident wavelength regulate the value of the optical parameters, whereas the coatings on the mineral play a more important role in drifting, but the differences between nitrate- and sulfate-containing particles are still very pronounced.
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Affiliation(s)
- Congming Dai
- Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China
- Advanced Laser Technology Laboratory of Anhui Province, Hefei, 230037, China
| | - Xuehai Zhang
- School of Information Science and Engineering, Henan University of Technology, Zhengzhou, 450001, China.
| | - Wentao Lian
- Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China
- School of Environmental Science and Optoelectronic Technology, University of Science and Technology of China, Hefei, 230026, China
| | - Heli Wei
- Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China
- Advanced Laser Technology Laboratory of Anhui Province, Hefei, 230037, China
| | - Jia Liu
- College of Quality and Technical Supervision, Hebei University, Baoding, 071002, China
| | - Shuguang Zou
- School of Information Science and Engineering, Henan University of Technology, Zhengzhou, 450001, China
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12
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Wang Y, Xiao HW, Yin MJ, Sun QB, Fu F, Tao JH, Xiao HY. Stable carbon isotope reveals high impact of fishing ship activities on total carbon from PM 2.5 in Qingdao, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 362:124958. [PMID: 39284409 DOI: 10.1016/j.envpol.2024.124958] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 09/12/2024] [Accepted: 09/12/2024] [Indexed: 09/20/2024]
Abstract
Although total carbon (TC) is an important component of fine particulate matter (PM2.5: particulate matter with aerodynamic diameter of <2.5 μm); its sources remain partially unidentified, especially in coastal urban areas. With ongoing development of the global economy and maritime activities, ship-generated TC emissions in port areas cannot be neglected. In this study, from September 11, 2017 to August 31, 2018, we collected 355 p.m.2.5 samples in Qingdao, China, to determine the water-soluble ion concentrations, TC concentrations, and stable carbon isotopes (δ13CTC). During the open fishing season (OFS; September 11, 2017 to April 30, 2018) and the closed fishing season (CFS; May 1, 2018 to August 31, 2018), the TC concentrations were 9.30 ± 5.38 μg/m3 and 3.36 ± 2.10 μg/m3 respectively, and the corresponding δ13CTC values were -24.53‰ ± 1.17‰ and -27.03‰ ± 0.91‰, respectively, indicating significant differences (p < 0.05) between the two periods. The differences in TC concentrations and the δ13CTC values between the OFS and CFS reflect changes in the source of contamination. Bayesian model was used to quantify the contributions of different TC sources, revealing that ship emissions accounted for approximately 35.3% of the total, which was close to the contribution from the largest source, i.e., motor vehicles (39%). Using the ship emission inventory, Qingdao's ship emissions were further quantified at 455 metric tons, representing 35%-40% of the total TC emissions around Qingdao. Notably, fishing ships contributed approximately 40% of the total ship emissions. These findings underscore the considerable impact of ship emissions, particularly those from fishing ships, on TC concentrations in coastal urban areas.
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Affiliation(s)
- Yao Wang
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China; School of Earth Sciences, East China University of Technology, Nanchang, 330013, China
| | - Hong-Wei Xiao
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
| | - Mei-Ju Yin
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qi-Bin Sun
- Dongguan Meteorological Bureau, Dongguan, Guangdong, 523086, China
| | - Fei Fu
- Qingdao Research Academy of Environmental Sciences, Qingdao, Shandong, 266003, China
| | - Ji-Hua Tao
- School of Earth Sciences, East China University of Technology, Nanchang, 330013, China
| | - Hua-Yun Xiao
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China
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13
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Cui T, Manousakas MI, Wang Q, Uzu G, Hao Y, Khare P, Qi L, Chen Y, Han Y, Slowik JG, Jaffrezo JL, Cao J, Prévôt ASH, Daellenbach KR. Composition and Sources of Organic Aerosol in Two Megacities in Western China Using Complementary Mass Spectrometric and Statistical Techniques. ACS ES&T AIR 2024; 1:1053-1065. [PMID: 39295737 PMCID: PMC11406521 DOI: 10.1021/acsestair.4c00051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 06/18/2024] [Accepted: 06/18/2024] [Indexed: 09/21/2024]
Abstract
Over 300 daily PM2.5 filter samples were collected in two western Chinese megacities, Xi'an and Chongqing, from October 2019 to May 2020. Their aqueous extracts were nebulized simultaneously to an aerosol mass spectrometer (AMS) and a recently developed extractive electrospray ionization (EESI) mass spectrometer, for bulk and near-molecular organic aerosol (OA) composition, respectively. Carbonate was quantified using EESI and a total organic carbon analyzer to separate inorganic carbon from dust. Via isotopically-labelled internal standards and positive matrix factorization, seven water-soluble sources were quantified separately using the AMS- and EESI-based analyses, with consistent types, concentrations, and correlations. These include dust, solid fuel combustion (SFC)-related, nitrogen- (and sulfur-) containing, summer/winter oxygenated OAs, and a cigarette-related OA only in EESI. When accounting for water-solubility, SFC-related OAs were the largest (53%) sources in Chongqing, while dust (consisting of 77% OA and 23% carbonates) was the largest (30%) source in Xi'an. Overall, this study presents one of the first times that complementary mass spectrometric techniques independently resolved consistent OA sources-with added chemical information-over multiple seasons and locations of complex pollution. The methods and quantified sources are essential for subsequent chemical, modelling, and health studies, and policy making for air pollution mitigation.
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Affiliation(s)
- Tianqu Cui
- PSI Center for Energy and Environmental Sciences, Paul Scherrer Institute, 5232 Villigen-PSI, Switzerland
| | - Manousos I Manousakas
- PSI Center for Energy and Environmental Sciences, Paul Scherrer Institute, 5232 Villigen-PSI, Switzerland
| | - Qiyuan Wang
- Key Laboratory of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Gaëlle Uzu
- Institut des Géosciences de l'Environnement, CNRS, UGA, IRD, Grenoble INP, INRAE, Grenoble 38000, France
| | - Yufang Hao
- PSI Center for Energy and Environmental Sciences, Paul Scherrer Institute, 5232 Villigen-PSI, Switzerland
| | - Peeyush Khare
- PSI Center for Energy and Environmental Sciences, Paul Scherrer Institute, 5232 Villigen-PSI, Switzerland
| | - Lu Qi
- PSI Center for Energy and Environmental Sciences, Paul Scherrer Institute, 5232 Villigen-PSI, Switzerland
| | - Yang Chen
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Yuemei Han
- Key Laboratory of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Jay G Slowik
- PSI Center for Energy and Environmental Sciences, Paul Scherrer Institute, 5232 Villigen-PSI, Switzerland
| | - Jean-Luc Jaffrezo
- Institut des Géosciences de l'Environnement, CNRS, UGA, IRD, Grenoble INP, INRAE, Grenoble 38000, France
| | - Junji Cao
- Key Laboratory of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - André S H Prévôt
- PSI Center for Energy and Environmental Sciences, Paul Scherrer Institute, 5232 Villigen-PSI, Switzerland
| | - Kaspar R Daellenbach
- PSI Center for Energy and Environmental Sciences, Paul Scherrer Institute, 5232 Villigen-PSI, Switzerland
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14
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Jiang Y, Jiang Y, Cheng S, Xi Y, Sun X, Xu Y, Yang Z. Modulate synthesis of CeMn solid solution using various alcohols for toluene catalytic oxidation: synergistic effect of Ce-Mn and reaction mechanism. JOURNAL OF HAZARDOUS MATERIALS 2024; 476:135051. [PMID: 38954854 DOI: 10.1016/j.jhazmat.2024.135051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2024] [Revised: 06/13/2024] [Accepted: 06/26/2024] [Indexed: 07/04/2024]
Abstract
A redox co-precipitation method was employed to synthesize CeMn homogeneous solid solutions, utilizing various alcohols as activating agents. Ethanol effectively orchestrated the precipitation of CeO2 and MnOx, promoting their co-growth. As a result, the CeMn-EA achieved 90 % toluene conversion at 218 ℃ (T90 =218 ℃) with a weight hourly space velocity (WHSV) of 48000 ml/(g·h). It also demonstrated high adaptability to increased WHSV, suggesting its potential for industrial-scale applications. The uniform dispersion of Ce and Mn accelerated the coupling between Ce3+/Ce4+ and Mn4+/Mn3+, engineering numerous oxygen vacancies, which enhanced the activation of gas-phase oxygen and the mobility of lattice oxygen. In situ DRIFTS confirmed that toluene oxidation accommodated both Langmuir-Hinshelwood (L-H) and Mars-van Krevelen (MvK) mechanisms, with benzoate identified as a pivotal intermediate. Enhanced oxygen mobility facilitated the cleavage of the benzene ring, which was the rate-determining step. Additionally, the introduction of H2O significantly enhanced the dissociation and adsorption of toluene and facilitated the activation of gas-phase oxygen. At higher temperatures, H2O could further activate lattice oxygen engaging in toluene oxidation. ENVIRONMENTAL IMPLICATION: Volatile organic compounds (VOCs) have emerged as major air pollutants due to the changes in air pollution patterns. They can act as precursors to near-surface ozone and haze. Toluene, a typical VOC, is primarily released from anthropogenic sources and poses significant risks to human health and the environment. Ce-based catalysts have been demonstrated efficiency in toluene oxidation due to their excellent oxygen storage and release properties. This study synthesized CeMn homogeneous solid solutions utilizing various alcohols as activating agents, which possessed abundant oxygen vacancies and optimum oxygen activation capacity to oxidize toluene in time.
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Affiliation(s)
- Ye Jiang
- College of New Energy, China University of Petroleum (East China), 66 West Changjiang Road, Qingdao 266580, China; Qingdao Engineering Research Center of Efficient and clean Utilization of Fossil Energy, Qingdao 266580, China
| | - Yinsheng Jiang
- College of New Energy, China University of Petroleum (East China), 66 West Changjiang Road, Qingdao 266580, China; Qingdao Engineering Research Center of Efficient and clean Utilization of Fossil Energy, Qingdao 266580, China
| | - Siyuan Cheng
- College of New Energy, China University of Petroleum (East China), 66 West Changjiang Road, Qingdao 266580, China; Qingdao Engineering Research Center of Efficient and clean Utilization of Fossil Energy, Qingdao 266580, China
| | - Yanyan Xi
- Advanced Chemical Engineering and Energy Materials Research Center, China University of Petroleum (East China), 66 West Changjiang Road, Qingdao 266580, China
| | - Xin Sun
- College of New Energy, China University of Petroleum (East China), 66 West Changjiang Road, Qingdao 266580, China; Qingdao Engineering Research Center of Efficient and clean Utilization of Fossil Energy, Qingdao 266580, China
| | - Yichao Xu
- College of New Energy, China University of Petroleum (East China), 66 West Changjiang Road, Qingdao 266580, China; Qingdao Engineering Research Center of Efficient and clean Utilization of Fossil Energy, Qingdao 266580, China
| | - Zhengda Yang
- College of New Energy, China University of Petroleum (East China), 66 West Changjiang Road, Qingdao 266580, China; Qingdao Engineering Research Center of Efficient and clean Utilization of Fossil Energy, Qingdao 266580, China.
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15
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Zhang Z, Wang S, Yu W, Wang P, Zhang H. Health Impacts of Fine Particulate Matter Shift Due to Urbanization in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024; 58:15732-15740. [PMID: 39141343 DOI: 10.1021/acs.est.4c05146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/15/2024]
Abstract
Rapid urbanization and industrialization have resulted in diverse anthropogenic activities and emissions between urban and non-urban regions, leading to varying levels of exposure to air pollutants and associated health risks. However, endeavors to mitigate air pollution and health benefits have displayed considerable heterogeneity across different regions. Therefore, comprehending the changes in air pollutant concentrations and health impacts within an urbanization context is imperative for promoting environmental equity. This paper uses gross domestic product (GDP)- and population-weighted methods to distinguish anthropogenic emissions from urban and non-urban areas in China and quantified their contributions to fine particulate matter (PM2.5) using the Community Multiscale Air Quality (CMAQ) model in 2010 and 2019. Anthropogenic emissions from urban and non-urban (outside urban) regions decreased by 26 and 44% from 2010 to 2019, respectively, resulting in 31 and 28% reductions of PM2.5 in China. PM2.5-related premature mortality attributed to non-urban and urban anthropogenic emission decreases by 8%. Non-urban anthropogenic activities are the main contributor to PM2.5 (56% in 2010 and 2019) and its associated premature mortality (59%), which also predominantly affects non-urban premature mortality (37-42% in 2010-2019). Population changes increase the proportion of premature mortality in urban populations (7-19%) from 2010 to 2019. This study emphasizes the shift of affected populations due to urbanization and population changes.
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Affiliation(s)
- Zhaolei Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, People's Republic of China
| | - Shuai Wang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, People's Republic of China
| | - Wenxuan Yu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, People's Republic of China
| | - Peng Wang
- Department of Atmospheric and Oceanic Sciences, Fudan University, Shanghai 200438, People's Republic of China
- Integrated Research on Disaster Risk (IRDR) International Center of Excellence (ICoE) on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200438, People's Republic of China
- Shanghai Key Laboratory of Ocean-Land-Atmosphere Boundary Dynamics and Climate Change, Shanghai 200438, People's Republic of China
| | - Hongliang Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, People's Republic of China
- Integrated Research on Disaster Risk (IRDR) International Center of Excellence (ICoE) on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health, Fudan University, Shanghai 200438, People's Republic of China
- Institute of Eco-Chongming, Shanghai 200438, People's Republic of China
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16
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Wang T, Huang RJ, Jing M, Che J, Xing J, Yang L, Yuan W, Wang Y, Guo J, Zhong H, Huang DD, Huang C, Xu W. Overlooked Trace Molecules in Organic Aerosol Revealed by Gas Chromatography-Orbitrap Mass Spectrometry. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2024. [PMID: 39221859 DOI: 10.1021/acs.est.4c03171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Molecular characterization of organic aerosol (OA) is crucial for understanding its sources and atmospheric processes. However, the chemical components of OA remain not well constrained. This study used gas chromatography-Orbitrap mass spectrometry (GC-Orbitrap MS) and GC-Quadrupole MS (GC-qMS) to investigate the organic composition in PM2.5 from Xi'an, Northwest China. GC-Orbitrap MS identified 335 organic tracers, including overlooked isomers and low-concentration molecules, approximately 1.6 times more than GC-qMS. The "molecular corridor" assessment shows the superior capability of GC-Orbitrap MS in identifying an expansive range of compounds with higher volatility and oxidation states, such as furanoses/pyranoses, di/hydroxy/ketonic acids, di/poly alcohols, aldehydes/ketones, and amines/amides. Seasonal variations in OA composition reflect diverse sources: increased di/poly alcohols in winter are derived from indoor emissions, furanoses/pyranoses and heterocyclics in spring and summer might be from biogenic emissions and secondary formation, and amides in autumn are probably from biomass burning. Integrating partial least squares discriminant analysis (PLS-DA) and potential source contribution function (PSCF) models, the source similarities and differences are further elucidated, highlighting the role of local emissions and transport from southern cities. This study offers new insights into the OA composition aided by the high mass resolution and sensitivity of GC-Orbitrap MS.
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Affiliation(s)
- Ting Wang
- State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Ru-Jin Huang
- State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
- Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an 710049, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Miao Jing
- Thermo Fisher Scientific, Shanghai 200136, China
| | - Jinshui Che
- Thermo Fisher Scientific, Shanghai 200136, China
| | | | - Lu Yang
- State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Wei Yuan
- State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Ying Wang
- State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Jie Guo
- State Key Laboratory of Loess Science, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Haobin Zhong
- School of Advanced Materials Engineering, Jiaxing Nanhu University, Jiaxing 314001, China
| | - Dan Dan Huang
- State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Shanghai Academy of Environment Sciences, Shanghai 200233, China
| | - Cheng Huang
- State Ecology and Environment Scientific Observation and Research Station for the Yangtze River Delta at Dianshan Lake, Shanghai Environmental Monitoring Center, Shanghai 200030, China
| | - Wei Xu
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361000, China
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17
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Cai D, Li C, Lin J, Sun W, Zhang M, Wang T, Abudumutailifu M, Lyu Y, Huang X, Li X, Chen J. Comparative study of atmospheric brown carbon at Shanghai and the East China Sea: Molecular characterization and optical properties. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 941:173782. [PMID: 38848916 DOI: 10.1016/j.scitotenv.2024.173782] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 05/27/2024] [Accepted: 06/03/2024] [Indexed: 06/09/2024]
Abstract
The pollution burdens and compositions of atmospheric brown carbon (BrC) that determine their impacts on climate-health-ecosystems have not been well studied, particularly in some mega-economic coastal areas. Herein, atmospheric BrC samples synchronously collected from urban Shanghai (SH) and Huaniao Island (HNI) in the East China Sea during winter were characterized through ultrahigh-performance liquid chromatography-diode array detector-high resolution mass spectrometry (UHPLC-DAD-HRMS). The three polarity-dependent BrC fractions exhibited significant differences in both light absorption and chromophore composition. The average light absorption coefficients of BrC subfractions at 365 nm in SH were 2.6-3.7 times higher than those in HNI. The water-insoluble BrC (WIS-BrC) and humic-likes BrC (HULIS-BrC) dominated the total BrC absorption in SH (45 ± 7 %) and HNI (43 ± 6 %), respectively. Compared with SH, the higher O/Cw, lower molecule conjugation degree, and reduced mass absorption efficiency at 365 nm (MAE365) in HNI imply a potential bleaching mechanism during the transportation oxidation process. Thousands of BrC chromophores were detected at both sites. >20 major chromophores with strong absorption were unambiguously identified in HULIS-BrC and accounted for ∼40 % of the HULIS light absorption at 365 nm at both sites. These chromophores in SH HULIS-BrC featured oxygenated aromatics and nitroaromatics, while alkyl benzenesulfonic acids with emissions from cargo ships were found in HNI HULIS-BrC. Moreover, 22 major chromophores identified in WIS-BrC included alkaloids, polyaromatic hydrocarbons (PAHs), and carbonyl oxygenated PAHs, contributing 39 % and 49 % of the WIS-BrC light absorption at 365 nm in SH and HNI, respectively. Ascertaining the molecular-specific optical properties of BrC chromophores over the mega-economic coastal area is helpful for the predictive understanding of the sources and evolution of BrC, as well as its atmospheric behavior from land to sea.
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Affiliation(s)
- Dongmei Cai
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Fudan University, Shanghai 200438, China
| | - Chunlin Li
- College of Environmental Science and Engineering, Tongji University, Shanghai 200072, China
| | - Jingxin Lin
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Fudan University, Shanghai 200438, China
| | - Wenwen Sun
- Department of Research, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai 201318, China
| | - Miaomiao Zhang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Fudan University, Shanghai 200438, China
| | - Tao Wang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Fudan University, Shanghai 200438, China
| | - Munila Abudumutailifu
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Fudan University, Shanghai 200438, China
| | - Yan Lyu
- College of Environment, Zhejiang University of Technology, Hangzhou 310032, China
| | - Xiaojuan Huang
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Fudan University, Shanghai 200438, China
| | - Xiang Li
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Fudan University, Shanghai 200438, China..
| | - Jianmin Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Fudan University, Shanghai 200438, China.; Institute of Eco-Chongming (IEC), Shanghai 200062, China..
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18
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Yang Z, Peng L, Yang L, Fu M, Ye D, Chen P. Low-temperature NH 3 abatement via selective oxidation over a supported copper catalyst with high Cu + abundance. J Environ Sci (China) 2024; 143:12-22. [PMID: 38644010 DOI: 10.1016/j.jes.2023.05.047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 05/25/2023] [Accepted: 05/31/2023] [Indexed: 04/23/2024]
Abstract
Selective catalytic NH3-to-N2 oxidation (NH3-SCO) is highly promising for abating NH3 emissions slipped from stationary flue gas after-treatment devices. Its practical application, however, is limited by the non-availability of low-cost catalysts with high activity and N2 selectivity. Here, using defect-rich nitrogen-doped carbon nanotubes (NCNT-AW) as the support, we developed a highly active and durable copper-based NH3-SCO catalyst with a high abundance of cuprous (Cu+) sites. The obtained Cu/NCNT-AW catalyst demonstrated outstanding activity with a T50 (i.e. the temperature to reach 50% NH3 conversion) of 174°C in the NH3-SCO reaction, which outperformed not only the Cu catalyst supported on N-free O-functionalized CNTs (OCNTs) or NCNT with less surface defects, but also those most active Cu catalysts in open literature. Reaction kinetics measurements and temperature-programmed surface reactions using NH3 as a probe molecule revealed that the NH3-SCO reaction on Cu/NCNT-AW follows an internal selective catalytic reaction (i-SCR) route involving nitric oxide (NO) as a key intermediate. According to mechanistic investigations by X-ray photoelectron spectroscopy, Raman spectroscopy, and X-ray absorption spectroscopy, the superior NH3-SCO performance of Cu/NCNT-AW originated from a synergy of surface defects and N-dopants. Specifically, surface defects promoted the anchoring of CuO nanoparticles on N-containing sites and, thereby, enabled efficient electron transfer from N to CuO, increasing significantly the fraction of SCR-active Cu+ sites in the catalyst. This study puts forward a new idea for manipulating and utilizing the interplay of defects and N-dopants on carbon surfaces to fabricate Cu+-rich Cu catalysts for efficient abatement of slip NH3 emissions via selective oxidation.
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Affiliation(s)
- Zhiming Yang
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Lin Peng
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Leneng Yang
- Guangdong Chengyi Environmental Technology Corp., Shaoguan 512158, China
| | - Mingli Fu
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Daiqi Ye
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, School of Environment and Energy, South China University of Technology, Guangzhou 510006, China
| | - Peirong Chen
- Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, National Engineering Laboratory for VOCs Pollution Control Technology and Equipment, School of Environment and Energy, South China University of Technology, Guangzhou 510006, China.
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19
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Ou-Yang CF, Chen YJ, Hsieh HC, Lee CT, Chi KH, Lin NH, Chang CC, Wang JL. Identification of organic constituents on atmospheric particulate matter in the East Asian background air of free troposphere by GC×GC-TOFMS. CHEMOSPHERE 2024; 364:143095. [PMID: 39146995 DOI: 10.1016/j.chemosphere.2024.143095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2024] [Revised: 08/12/2024] [Accepted: 08/13/2024] [Indexed: 08/17/2024]
Abstract
The presence of organic compounds on the particulate matter (PM) or aerosols can arise from the condensation of gaseous organic compounds on the existing aerosols, or from organic precursors to form secondary organic aerosols (SOA) through photochemistry. The objective of this study is to characterize organic constituents on aerosols relevant to their emission sources and the key compounds revealing the evolution of aerosols with the use of a novel analytical technique. A time-of-flight mass spectrometry (TOFMS) coupled with comprehensive two-dimensional gas chromatography (GC×GC) was developed using a flow type of modulator instead of a thermal type as a prelude to field applications without the need for cryogen. The methodology of GC×GC-TOFMS is discussed in this study in detail. Since the coarse PM (PM10-2.5) may exhibit with a relatively high OC content compared to PM2.5, the GC×GC results have been obtained by analyzing PM10 samples collected in parallel with OC/EC analysis of PM2.5 samples at the Lulin Atmospheric Background Station (LABS, 23.47°N, 120.87°E, 2862 m ASL) as the high-mountain background site in East Asia. We found that the organic analytes were in a majority in the range of 12-30 carbon numbers falling in the category of semi-volatile organic compounds (SVOCs) with 43 compounds of alcohol, aldehyde, ketone, and ester varieties if excluding alkanes. Intriguingly, trace amounts of plasticizers and phosphorus flame retardants such as phthalates (PAEs) and triphenyl phosphate (TPP) were also found, likely originating from regions involved in open burning of household solid waste in Southeast Asia or e-waste recycling in southern China and along the long-range transport route. Compounds such as these are unique to the specific sources, demonstrating the wide spread of these hazardous compounds in the environment.
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Affiliation(s)
- Chang-Feng Ou-Yang
- Department of Atmospheric Sciences, National Central University, Taoyuan, 32001, Taiwan; Center for Environmental Monitoring and Technology, National Central University, Taoyuan, 32001, Taiwan.
| | - Yi-Jun Chen
- Department of Chemistry, National Central University, Taoyuan, 32001, Taiwan
| | - Hsin-Cheng Hsieh
- Department of Chemistry, National Central University, Taoyuan, 32001, Taiwan
| | - Chung-Te Lee
- Graduate Institute of Environmental Engineering, National Central University, Taoyuan, 32001, Taiwan
| | - Kai-Hsien Chi
- Institute of Environmental and Occupational Health Sciences, National Yang Ming Chiao Tung University, Hsinchu, 30010, Taiwan
| | - Neng-Huei Lin
- Department of Atmospheric Sciences, National Central University, Taoyuan, 32001, Taiwan; Center for Environmental Monitoring and Technology, National Central University, Taoyuan, 32001, Taiwan; Department of Chemistry, National Central University, Taoyuan, 32001, Taiwan
| | - Chih-Chung Chang
- Research Center for Environmental Changes, Academia Sinica, Taipei, 11529, Taiwan
| | - Jia-Lin Wang
- Center for Environmental Monitoring and Technology, National Central University, Taoyuan, 32001, Taiwan; Department of Chemistry, National Central University, Taoyuan, 32001, Taiwan.
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20
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Wang SN, Shi YC, Lin S, He HF. Particulate matter 2.5 accelerates aging: Exploring cellular senescence and age-related diseases. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 284:116920. [PMID: 39208581 DOI: 10.1016/j.ecoenv.2024.116920] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 08/17/2024] [Accepted: 08/20/2024] [Indexed: 09/04/2024]
Abstract
Exposure to Particulate matter 2.5 (PM2.5) accelerates aging, causing declines in tissue and organ function, and leading to diseases such as cardiovascular, neurodegenerative, and musculoskeletal disorders. PM2.5 is a major environmental pollutant and an exogenous pathogen in air pollution that is now recognized as an accelerator of human aging and a predisposing factor for several age-related diseases. In this paper, we seek to elucidate the mechanisms by which PM2.5 induces cellular senescence, such as genomic instability, telomere attrition, epigenetic alterations, loss of proteostasis, and mitochondrial dysfunction, and age-related diseases. Our goal is to increase awareness among researchers within the field of the toxicity of environmental pollutants and to advocate for personal and public health initiatives to curb their production and enhance population protection. Through these endeavors, we aim to promote longevity and health in older adults.
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Affiliation(s)
- Sheng-Nan Wang
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China
| | - Yan-Chuan Shi
- Centre of Neurological and Metabolic Research, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Group of Neuroendocrinology, Garvan Institute of Medical Research, 384 Victoria St, Sydney, Australia; St Vincent's Clinical School, Faculty of Medicine, UNSW Sydney, Australia
| | - Shu Lin
- Centre of Neurological and Metabolic Research, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China; Group of Neuroendocrinology, Garvan Institute of Medical Research, 384 Victoria St, Sydney, Australia.
| | - He-Fan He
- Department of Anesthesiology, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian Province, China.
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21
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Nizamani MM, Zhang HL, Bolan N, Zhang Q, Guo L, Lou Y, Zhang HY, Wang Y, Wang H. Understanding the drivers of PM 2.5 concentrations in Chinese cities: A comprehensive study of anthropogenic and environmental factors. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024:124783. [PMID: 39173864 DOI: 10.1016/j.envpol.2024.124783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 06/27/2024] [Accepted: 08/19/2024] [Indexed: 08/24/2024]
Abstract
Understanding the factors that drive PM2.5 concentrations in cities with varying population and land areas is crucial for promoting sustainable urban population health. This knowledge is particularly important for countries where air pollution is a significant challenge. Most existing studies have investigated either anthropogenic or environmental factors in isolation, often in limited geographic contexts; however, this study fills this knowledge gap. We employed a multimethodological approach, using both multiple linear regression models and geographically weighted regression (GWR), to assess the combined and individual effects of these factors across different cities in China. The variables considered were urban built-up area, land consumption rate (LCR), population size, population growth rate (PGR), longitude, and latitude. Compared with other studies, this study provides a more comprehensive understanding of PM2.5 drivers. The findings of this study showed that PGR and population size are key factors affecting PM2.5 concentrations in smaller cities. In addition, the extent of urban built-up areas exerts significant influence in medium and large cities. Latitude was found to be a positive predictor for PM2.5 concentrations across all city sizes. Interestingly, the northeast, south, and southwest regions demonstrated lower PM2.5 levels than the central, east, north, and northwest regions. The GWR model underscored the importance of considering spatial heterogeneity in policy interventions. However, this research is not without limitations. For instance, international pollution transfers were not considered. Despite the limitation, this study advances the existing literature by providing an understanding of how both anthropogenic and environmental factors, in conjunction with city scale, shape PM2.5 concentrations. This integrated approach offers invaluable insights for tailoring more effective air pollution management strategies across cities of different sizes and characteristics.
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Affiliation(s)
- Mir Muhammad Nizamani
- Department of Plant Pathology, Agricultural College, Guizhou University, Guiyang, 550025, China
| | - Hai-Li Zhang
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, School of Life Sciences, Hainan University, Haikou 570228, China
| | - Nanthi Bolan
- UWA School of Agriculture and Environment, The University of Western Australia, Perth, Western Australia 6009, Australia; The UWA Institute of Agriculture, The University of Western Australia, Perth, Western Australia 6009, Australia
| | - Qian Zhang
- Department of Plant Pathology, Agricultural College, Guizhou University, Guiyang, 550025, China
| | - Lingyuan Guo
- Hainan Key Laboratory for Sustainable Utilization of Tropical Bioresources, School of Life Sciences, Hainan University, Haikou 570228, China
| | - YaHui Lou
- Zhongtie Electrical Railway Operation Management Co., Ltd
| | - Hai-Yang Zhang
- College of International Studies, Sichuan University, Chengdu 610065, China
| | - Yong Wang
- Department of Plant Pathology, Agricultural College, Guizhou University, Guiyang, 550025, China.
| | - Hailong Wang
- School of Environmental and Chemical Engineering, Foshan University, Foshan, 528000, China; Guangdong Provincial Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Institute of Eco-environmental and Soil Sciences, Guangdong Academy of Sciences, Guangzhou 510650, China
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22
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Liu Q, Liu J, Zhang Y, Chen H, Liu X, Liu M. Associations between atmospheric PM 2.5 exposure and carcinogenic health risks: Surveillance data from the year of lowest recorded levels in Beijing, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 355:124176. [PMID: 38768675 DOI: 10.1016/j.envpol.2024.124176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 05/13/2024] [Accepted: 05/15/2024] [Indexed: 05/22/2024]
Abstract
Scant research has pinpointed the year of minimum PM2.5 concentration through extensive, uninterrupted monitoring, nor has it thoroughly assessed carcinogenic risks associated with analyzing numerous components during this nadir in Beijing. This study endeavored to delineate the atmospheric PM2.5 pollution in Beijing from 2015 to 2022 and to undertake comprehensive evaluation of carcinogenic risks associated with the composition of atmospheric PM2.5 during the year exhibiting the lowest concentration. PM2.5 concentrations were monitored gradually in 9 districts of Beijing for 7 consecutive days per month from 2015 to 2022, and 32 kinds of PM2.5 components collected in the lowest PM2.5 concentration year were analyzed. This comprehensive dataset served as the basis for carcinogenic risk assessment using Monte Carlo simulation. And we applied the Positive Matrix Factorization (PMF) method to identity the sources of atmospheric PM2.5. Furthermore, we integrated this source appointment model with risk assessment model to discern the origins of these risks. The findings revealed that the annual average PM2.5 concentration in 2022 stood at 43.1 μg/m3, marking the lowest level recorded. The mean carcinogenic risks of atmospheric PM2.5 exposure calculated at 6.30E-6 (empirical 95% CI 1.09E-6 to 2.25E-5) in 2022. The PMF model suggested that secondary sources (35.4%), coal combustion (25.6%), resuspended dust (15.1%), biomass combustion (14.1%), vehicle emissions (7.1%), industrial emissions (2.0%) and others (0.7%) were the main sources of atmospheric PM2.5 in Beijing. The mixed model revealed that coal combustion (2.41E-6), vehicle emissions (1.90E-6) and industrial emissions (1.32E-6) were the main sources of carcinogenic risks with caution. Despite a continual decrease in atmospheric PM2.5 concentration in recent years, the lowest concentration levels still pose non-negligible carcinogenic risks. Notably, the carcinogenic risks associated with metals and metalloids exceeded that of PAHs. And the distribution of risk sources did not align proportionally with the distribution of PM2.5 mass concentration.
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Affiliation(s)
- Qichen Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China; Institute for Environmental Health, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Yong Zhang
- Institute for Environmental Health, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Huajie Chen
- Institute for Environmental Health, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Xiaofeng Liu
- Institute for Environmental Health, Beijing Center for Disease Prevention and Control, Beijing, China
| | - Min Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
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23
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Schneider E, Czech H, Hartikainen A, Hansen HJ, Gawlitta N, Ihalainen M, Yli-Pirilä P, Somero M, Kortelainen M, Louhisalmi J, Orasche J, Fang Z, Rudich Y, Sippula O, Rüger CP, Zimmermann R. Molecular composition of fresh and aged aerosols from residential wood combustion and gasoline car with modern emission mitigation technology. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2024; 26:1295-1309. [PMID: 38832458 DOI: 10.1039/d4em00106k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
Emissions from road traffic and residential heating contribute to urban air pollution. Advances in emission reduction technologies may alter the composition of emissions and affect their fate during atmospheric processing. Here, emissions of a gasoline car and a wood stove, both equipped with modern emission mitigation technology, were photochemically aged in an oxidation flow reactor to the equivalent of one to five days of photochemical aging. Fresh and aged exhausts were analyzed by ultrahigh resolution mass spectrometry. The gasoline car equipped with a three-way catalyst and a gasoline particle filter emitted minor primary fine particulate matter (PM2.5), but aging led to formation of particulate low-volatile, oxygenated and highly nitrogen-containing compounds, formed from volatile organic compounds (VOCs) and gases incl. NOx, SO2, and NH3. Reduction of the particle concentration was also observed for the application of an electrostatic precipitator with residential wood combustion but with no significant effect on the chemical composition of PM2.5. Comparing the effect of short and medium photochemical exposures on PM2.5 of both emission sources indicates a similar trend for formation of new organic compounds with increased carbon oxidation state and nitrogen content. The overall bulk compositions of the studied emission exhausts became more similar by aging, with many newly formed elemental compositions being shared. However, the presence of particulate matter in wood combustion results in differences in the molecular properties of secondary particles, as some compounds were preserved during aging.
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Affiliation(s)
- Eric Schneider
- Joint Mass Spectrometry Centre, Department of Analytical and Technical Chemistry, University of Rostock, Rostock, Germany.
- Department Life, Light & Matter (LL&M), University of Rostock, Rostock, Germany
| | - Hendryk Czech
- Joint Mass Spectrometry Centre, Department of Analytical and Technical Chemistry, University of Rostock, Rostock, Germany.
- Joint Mass Spectrometry Centre, Cooperation Group "Comprehensive Molecular Analytics" (CMA), Helmholtz Centre Munich, Munich, Germany
| | - Anni Hartikainen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Helly J Hansen
- Joint Mass Spectrometry Centre, Department of Analytical and Technical Chemistry, University of Rostock, Rostock, Germany.
| | - Nadine Gawlitta
- Joint Mass Spectrometry Centre, Cooperation Group "Comprehensive Molecular Analytics" (CMA), Helmholtz Centre Munich, Munich, Germany
| | - Mika Ihalainen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Pasi Yli-Pirilä
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Markus Somero
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Miika Kortelainen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Juho Louhisalmi
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
| | - Jürgen Orasche
- Joint Mass Spectrometry Centre, Cooperation Group "Comprehensive Molecular Analytics" (CMA), Helmholtz Centre Munich, Munich, Germany
| | - Zheng Fang
- Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Yinon Rudich
- Department of Earth and Planetary Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Olli Sippula
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio, Finland
- Department of Chemistry, University of Eastern Finland, Joensuu, Finland
| | - Christopher P Rüger
- Joint Mass Spectrometry Centre, Department of Analytical and Technical Chemistry, University of Rostock, Rostock, Germany.
- Department Life, Light & Matter (LL&M), University of Rostock, Rostock, Germany
| | - Ralf Zimmermann
- Joint Mass Spectrometry Centre, Department of Analytical and Technical Chemistry, University of Rostock, Rostock, Germany.
- Department Life, Light & Matter (LL&M), University of Rostock, Rostock, Germany
- Joint Mass Spectrometry Centre, Cooperation Group "Comprehensive Molecular Analytics" (CMA), Helmholtz Centre Munich, Munich, Germany
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24
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Daellenbach KR, Cai J, Hakala S, Dada L, Yan C, Du W, Yao L, Zheng F, Ma J, Ungeheuer F, Vogel AL, Stolzenburg D, Hao Y, Liu Y, Bianchi F, Uzu G, Jaffrezo JL, Worsnop DR, Donahue NM, Kulmala M. Substantial contribution of transported emissions to organic aerosol in Beijing. NATURE GEOSCIENCE 2024; 17:747-754. [PMID: 39131449 PMCID: PMC11315673 DOI: 10.1038/s41561-024-01493-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 06/27/2024] [Indexed: 08/13/2024]
Abstract
Haze in Beijing is linked to atmospherically formed secondary organic aerosol, which has been shown to be particularly harmful to human health. However, the sources and formation pathways of these secondary aerosols remain largely unknown, hindering effective pollution mitigation. Here we have quantified the sources of organic aerosol via direct near-molecular observations in central Beijing. In winter, organic aerosol pollution arises mainly from fresh solid-fuel emissions and secondary organic aerosols originating from both solid-fuel combustion and aqueous processes, probably involving multiphase chemistry with aromatic compounds. The most severe haze is linked to secondary organic aerosols originating from solid-fuel combustion, transported from the Beijing-Tianjing-Hebei Plain and rural mountainous areas west of Beijing. In summer, the increased fraction of secondary organic aerosol is dominated by aromatic emissions from the Xi'an-Shanghai-Beijing region, while the contribution of biogenic emissions remains relatively small. Overall, we identify the main sources of secondary organic aerosol affecting Beijing, which clearly extend beyond the local emissions in Beijing. Our results suggest that targeting key organic precursor emission sectors regionally may be needed to effectively mitigate organic aerosol pollution.
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Affiliation(s)
- Kaspar R. Daellenbach
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
- Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland
- PSI Center for Energy and Environmental Sciences, Paul Scherrer Institute, Villigen, Switzerland
| | - Jing Cai
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
- Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Simo Hakala
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
- Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland
- Department of Meteorology (MISU) and Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden
| | - Lubna Dada
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
- Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland
- PSI Center for Energy and Environmental Sciences, Paul Scherrer Institute, Villigen, Switzerland
| | - Chao Yan
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
- Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland
- Nanjing-Helsinki Institute in Atmospheric and Earth System Sciences, Nanjing University, Suzhou, China
| | - Wei Du
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
- Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Lei Yao
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai, China
| | - Feixue Zheng
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
| | - Jialiang Ma
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt, Germany
| | - Florian Ungeheuer
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt, Germany
| | - Alexander L. Vogel
- Institute for Atmospheric and Environmental Sciences, Goethe University Frankfurt, Frankfurt, Germany
| | - Dominik Stolzenburg
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
- Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland
- Institute of Materials Chemistry, TU Wien, Vienna, Austria
| | - Yufang Hao
- PSI Center for Energy and Environmental Sciences, Paul Scherrer Institute, Villigen, Switzerland
| | - Yongchun Liu
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
| | - Federico Bianchi
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
- Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland
| | - Gaëlle Uzu
- Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), Institute of Engineering and Management Univ. Grenoble Alpes (Grenoble INP), Institut des Géosciences de l’Environnement (IGE), Université Grenoble Alpes, Grenoble, France
| | - Jean-Luc Jaffrezo
- Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD), Institute of Engineering and Management Univ. Grenoble Alpes (Grenoble INP), Institut des Géosciences de l’Environnement (IGE), Université Grenoble Alpes, Grenoble, France
| | - Douglas R. Worsnop
- Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland
- Aerodyne Research Inc., Billerica, MA USA
| | - Neil M. Donahue
- Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, PA USA
| | - Markku Kulmala
- Aerosol and Haze Laboratory, Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing, China
- Institute for Atmospheric and Earth System Research, Faculty of Science, University of Helsinki, Helsinki, Finland
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25
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Kim Y, Yi SM, Heo J, Kim H, Lee W, Kim H, Hopke PK, Lee YS, Shin HJ, Park J, Yoo M, Jeon K, Park J. Is replacing missing values of PM 2.5 constituents with estimates using machine learning better for source apportionment than exclusion or median replacement? ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 354:124165. [PMID: 38759749 DOI: 10.1016/j.envpol.2024.124165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 04/22/2024] [Accepted: 05/13/2024] [Indexed: 05/19/2024]
Abstract
East Asian countries have been conducting source apportionment of fine particulate matter (PM2.5) by applying positive matrix factorization (PMF) to hourly constituent concentrations. However, some of the constituent data from the supersites in South Korea was missing due to instrument maintenance and calibration. Conventional preprocessing of missing values, such as exclusion or median replacement, causes biases in the estimated source contributions by changing the PMF input. Machine learning (ML) can estimate the missing values by training on constituent data, meteorological data, and gaseous pollutants. Complete data from the Seoul Supersite in 2018 was taken, and a random 20% was set as missing. PMF was performed by replacing missing values with estimates. Percent errors of the source contributions were calculated compared to those estimated from complete data. Missing values were estimated using a random forest analysis. Estimation accuracy (r2) was as high as 0.874 for missing carbon species and low at 0.631 when ionic species and trace elements were missing. For the seven highest contributing sources, replacing the missing values of carbon species with estimates minimized the percent errors to 2.0% on average. However, replacing the missing values of the other chemical species with estimates increased the percent errors to more than 9.7% on average. Percent errors were maximal at 37% on average when missing values of ionic species and trace elements were replaced with estimates. Missing values, except for carbon species, need to be excluded. This approach reduced the percent errors to 7.4% on average, which was lower than those due to median replacement. Our results show that reducing the biases in source apportionment is possible by replacing the missing values of carbon species with estimates. To improve the biases due to missing values of the other chemical species, the estimation accuracy of the ML needs to be improved.
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Affiliation(s)
- Youngkwon Kim
- Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Seung-Muk Yi
- Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea; Institute of Health and Environment, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Jongbae Heo
- Busan Development Institute, Busan, 47210, Republic of Korea
| | - Hwajin Kim
- Department of Environmental Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Woojoo Lee
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Ho Kim
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea
| | - Philip K Hopke
- Center for Air Resources Engineering and Science, Clarkson University, Potsdam, NY, 13699, USA; Department of Public Health Sciences, University of Rochester, School of Medicine and Dentistry, Rochester, NY, 14642, USA
| | - Young Su Lee
- Department of Energy and Environmental Engineering, Soonchunhyang University, Soonchunhyang-ro, Sinchang-myeon, Asan-si, Chungcheongnam-do, 31538, Republic of Korea
| | - Hye-Jung Shin
- Air Quality Research Division, Department of Climate and Air Quality Research, National Institute of Environmental Research, Incheon, 22689, Republic of Korea
| | - Jungmin Park
- Air Quality Research Division, Department of Climate and Air Quality Research, National Institute of Environmental Research, Incheon, 22689, Republic of Korea
| | - Myungsoo Yoo
- Department of Climate and Air Quality Research, National Institute of Environmental Research, Incheon, 22689, Republic of Korea
| | - Kwonho Jeon
- Global Environment Research Division, Department of Climate and Air Quality Research, National Institute of Environmental Research, Incheon, 22689, Republic of Korea
| | - Jieun Park
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 401 Park Drive, Boston, MA, 02215, USA.
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26
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Yu K, Wang W, Nie G, Yuan Y, Song X, Yu Z. Key biogeochemical processes and source apportionment of nitrate in the Bohai Sea based on nitrate stable isotopes. MARINE POLLUTION BULLETIN 2024; 205:116617. [PMID: 38917494 DOI: 10.1016/j.marpolbul.2024.116617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2024] [Revised: 06/13/2024] [Accepted: 06/16/2024] [Indexed: 06/27/2024]
Abstract
Excessive nitrate input is one of the primary factors causing nearshore eutrophication. This study applied the nitrate stable isotope techniques to analyse the biogeochemical processes and sources of nitrate in the Bohai Sea (BHS). The results showed that intensive NO3- assimilation probably occurred at surface in summer, while nitrification primarily occurred in the Yellow River diluted water. In autumn, regional assimilation and nitrification were still identified. For avoiding the interference from assimilation, the isotopic fractionations were further calculated as correction data for the quantitative analysis of nitrate sources. The river inputs were identified as the primary source of nitrate in the BHS in summer and autumn, accounting for >50 %, and the atmospheric deposition was the secondary source. This study provides quantitative data for evaluating the significance of river inputs to the nearshore nitrate, which will be beneficial to policy formulation on the BHS eutrophication control.
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Affiliation(s)
- Kairui Yu
- Key Laboratory of Optic-Electric Sensing and Analytical Chemistry for Life Science, MOE, State Key Laboratory Base of Eco-chemical Engineering, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, China
| | - Wentao Wang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Guangming Nie
- Key Laboratory of Optic-Electric Sensing and Analytical Chemistry for Life Science, MOE, State Key Laboratory Base of Eco-chemical Engineering, College of Chemistry and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, China
| | - Yongquan Yuan
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xiuxian Song
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhiming Yu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China
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27
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Tang M, Shen Y, Ge Y, Gao J, Wang C, Wu L, Si S. Laboratory and field evaluation of a low-cost optical particle sizer. J Environ Sci (China) 2024; 142:215-225. [PMID: 38527887 DOI: 10.1016/j.jes.2023.06.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 06/20/2023] [Accepted: 06/21/2023] [Indexed: 03/27/2024]
Abstract
Low-cost sensors are widely used to collect high-spatial-resolution particulate matter data that traditional reference monitoring devices cannot. In addition to the mass concentration, the number concentration and size distribution are also fundamental in determining the origin and hazard level of particulate pollution. Therefore, low-cost optical sensors have been improved to establish optical particle sizers (OPSs). In this study, a low-cost OPS, the Nova SDS029, is introduced, and it is evaluated in comparison to two reference instruments-the GRIMM 11-D and the TSI 3330. We first tested the sizing accuracy using polystyrene latex spheres. Then, we assessed the mass and number size distribution accuracy in three application scenarios: indoor smoking, ambient air quality, and mobile monitoring. The evaluations suggest that the low-cost SDS029 rivals research-grade optical sizers in many aspects. For example, (1) the particle diameters obtained with the SDS029 are close to the reference instruments (usually < 10%) in the 0.3-5 µm range; (2) the number of particles and mass concentration are highly correlated (r ≥ 0.99) with the values obtained with the reference instruments; and (3) the SDS029 slightly underestimates the number concentration, but the derived PM2.5 values are closer to monitoring station than the reference instruments. The successful application of the SDS029 in multiple scenarios suggests that a plausible particle size distribution can be obtained in an easy and cost-efficient way. We believe that low-cost OPSs will increasingly be used to map the sources and risk levels of particles at the city scale.
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Affiliation(s)
- Mingzhen Tang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yicheng Shen
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yanzhen Ge
- Tai'an Ecological Environment Protection Control Center, Tai'an 271000, China
| | - Jian Gao
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Chong Wang
- Jinan Grid-Based Supervision Center of Ecological and Environmental Protection, Jinan 250100, China.
| | - Liqing Wu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Shuchun Si
- School of Physics, Shandong University, Jinan 250013, China
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28
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Bu Y, Gao J, Zhang W, Ai M. The impact of digital inclusive finance on the collaborative reduction of pollutant and carbon emissions: spatial spillover and mechanism analysis. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 365:121550. [PMID: 38908154 DOI: 10.1016/j.jenvman.2024.121550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2024] [Revised: 06/04/2024] [Accepted: 06/18/2024] [Indexed: 06/24/2024]
Abstract
In light of the escalating global climate risks threatening human survival, there is a global consensus on the necessity for collaborative reduction of pollutant and carbon emissions (CRPC). Within this context, digital inclusive finance (DIF) is recognized for its unique inclusiveness and digital characteristics as a critical factor in promoting environmentally friendly and sustainable development. DIF provides advantageous channels for environmental governance, thereby making the achievement of CRPC objectives feasible. However, the impact of DIF on CRPC has not been fully explored. This study employs a spatial econometric model to investigate the impact of DIF on CRPC in 278 prefecture-level cities in China from 2011 to 2020. The findings indicate that DIF has a positive impact on CRPC, with significant spatial spillover effects. The analysis highlights the pivotal mediating roles played by technology effect and electrified effect of the energy mix, while environmental regulation effect plays a moderating role. Notably, disparities in the impact of DIF on CRPC are evident, particularly in non-resource-based cities, cities with low carbon intensity, and eastern regions where spatial spillover effects are more pronounced. These experiences enrich the relevant thesis in terms of DIF on CRPC, providing a theoretical basis for formulating CRPC schemes.
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Affiliation(s)
- Yan Bu
- School of Economics and Management, Harbin Engineering University, Harbin, 150001, China
| | - Jingchen Gao
- School of Economics and Management, Harbin Engineering University, Harbin, 150001, China
| | - Wei Zhang
- School of Economics and Management, Harbin Engineering University, Harbin, 150001, China
| | - Mingye Ai
- School of Economics and Management, Harbin Engineering University, Harbin, 150001, China.
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29
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Guo H, Zhang C, Shen YK, Zhang JD, Yang FY, Liang F, Wang W, Liu YT, Wang GZ, Zhou GB. PD-L2 mediates tobacco smoking-induced recruitment of regulatory T cells via the RGMB/NFκB/CCL20 cascade. Cell Biol Toxicol 2024; 40:56. [PMID: 39042313 PMCID: PMC11266262 DOI: 10.1007/s10565-024-09892-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 06/18/2024] [Indexed: 07/24/2024]
Abstract
Programmed cell death ligand 2 (PD-L2), a ligand for the receptor programmed cell death 1 (PD-1), has an identity of 34% with its twin ligand PD-L1 and exhibits higher binding affinity with PD-1 than PD-L1. However, the role of PD-L2 in non-small cell lung cancer (NSCLC) progression, especially tobacco-induced cancer progression, has not been fully understood. Here, we found that PD-L2 promoted tumor growth in murine models with recruitment of regulatory T cells (Tregs). In patients with NSCLC, PD-L2 expression level in tumor samples was higher than in counterpart normal controls and was positively associated with patients' response to anti-PD-1 treatment. Mechanismly, PD-L2 bound its receptor Repulsive guidance molecule B (RGMB) on cancer cells and activated extracellular signal-regulated kinase (Erk) and nuclear factor κB (NFκB), leading to increased production of chemokine CCL20, which recruited Tregs and contributed to NSCLC progression. Consistently, knockdown of RGMB or NFκB p65 inhibited PD-L2-induced CCL20 production, and silencing of PD-L2 repressed Treg recruitment by NSCLC cells. Furthermore, cigarette smoke and carcinogen benzo(a)pyrene (BaP) upregulated PD-L2 in lung epithelial cells via aryl hydrocarbon receptor (AhR)-mediated transcription activation, whose deficiency markedly suppressed BaP-induced PD-L2 upregulation. These results suggest that PD-L2 mediates tobacco-induced recruitment of Tregs via the RGMB/NFκB/CCL20 cascade, and targeting this pathway might have therapeutic potentials in NSCLC.
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Affiliation(s)
- Hua Guo
- State Key Laboratory of Molecular Oncology & Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Chen Zhang
- School of Life Sciences and Engineering, Handan University, Handan, Hebei Province, 056005, China
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, 100101, China
| | - Yu-Ke Shen
- State Key Laboratory of Molecular Oncology & Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jian-Dong Zhang
- Department of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
- Shanxi Bethune Hospital Affiliated with Shanxi Academy of Medical Sciences, Taiyuan, Shanxi Province, 030032, China
| | - Fu-Ying Yang
- State Key Laboratory of Molecular Oncology & Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Fan Liang
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, 100101, China
- School of Basic Medicine, Weifang Medical University, Shandong, 261000, China
| | - Wei Wang
- Department of Urology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100020, China
| | - Yu-Tao Liu
- State Key Laboratory of Molecular Oncology & Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Gui-Zhen Wang
- State Key Laboratory of Molecular Oncology & Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Guang-Biao Zhou
- State Key Laboratory of Molecular Oncology & Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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30
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Dong Z, Li X, Dong Z, Su F, Wang S, Shang L, Kong Z, Wang S. Long-term evolution of carbonaceous aerosols in PM 2.5 during over a decade of atmospheric pollution outbreaks and control in polluted central China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 935:173089. [PMID: 38734089 DOI: 10.1016/j.scitotenv.2024.173089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 04/18/2024] [Accepted: 05/07/2024] [Indexed: 05/13/2024]
Abstract
Against the backdrop of an uncertain evolution of carbonaceous aerosols in polluted areas over the long term amid air pollution control measures, this 11-year study (2011-2021) investigated fine particulate matter (PM2.5) and carbonaceous components in polluted central China. Organic carbon (OC) and elemental carbon (EC) averaged 16.5 and 3.4 μg/m3, constituting 16 and 3 % of PM2.5 mass. Carbonaceous aerosols dominated PM2.5 (35 and 27 %) during periods of excellent and good air quality, while polluted days witnessed other components as dominants, with a significant decrease in primary organic aerosols and increased secondary pollution. From 2011 to 2021, OC and EC decreased by 53 and 76 %, displaying a high-value oscillation phase (2011-2015) and a low-value fluctuation phase (post-2016). A substantial reduction in high OC and EC concentrations in 2016 marked a milestone in significant air quality improvement attributed to effective control measures, especially targeting OC and EC, evident from their decreased proportion in PM2.5. Primary OC (POC) in winter exhibited the most pronounced reduction (8 % per year), and the seasonal disparities in PM2.5 and carbonaceous components were reduced, showcasing the effectiveness of control measures. Contrary to the more pronounced reduction of EC, which decreased in proportion to PM2.5, secondary OC (SOC) in PM2.5 exhibited an increasing trend. Along with rising OC/EC, SOC/OC, and SOC/EC ratios, this indicates a growing prominence of secondary pollution compared to the decrease in primary pollution. SOC shows an increasing trend with NO2 rise (r = 0.53), without O3 promoting SOC. Positive correlations of SOC with SO2, CO (r = 0.41, 0.59), also highlight their influence on atmospheric conditions, oxidative capacity, and chemical reactions, indirectly impacting SOC formation. The implementation of precise precursor emission reduction measures holds the key to future efforts in mitigating SOC pollution and reducing PM2.5 concentrations, thereby contributing to improved air quality.
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Affiliation(s)
- Zhe Dong
- College of Chemistry, Zhengzhou University, Zhengzhou 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Xiao Li
- School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Zhangsen Dong
- College of Chemistry, Zhengzhou University, Zhengzhou 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China.
| | - Fangcheng Su
- School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Shenbo Wang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Luqi Shang
- College of Chemistry, Zhengzhou University, Zhengzhou 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Zihan Kong
- School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
| | - Shanshan Wang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China; Institute of Environmental Sciences, Zhengzhou University, Zhengzhou 450001, China
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31
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Yu S, Ma T, Zhang L, Li Q, Zhou M. Coupling sedimentary records of anthropogenic metal(loid)s in urban waterscape parks with the "Coal to Gas" transition. JOURNAL OF HAZARDOUS MATERIALS 2024; 473:134713. [PMID: 38788570 DOI: 10.1016/j.jhazmat.2024.134713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/10/2024] [Revised: 04/11/2024] [Accepted: 05/22/2024] [Indexed: 05/26/2024]
Abstract
Energy consumption structure has been adjusted worldwide as a measure to reduce CO2 emission and mitigate air pollution. The "Coal to Gas" transition in mainland China has successfully controlled air pollution in recent decades, but its impacts on the environment beyond air quality improvement remain unknown. With 210Pb dating, this study chronicled profiles of eight anthropogenic metal(loid)s in sediment core from 14 waterscape parks across the Ring Road Network of Beijing, China. Six sediment cores were dated showing a timing coupling of metal(loid) loadings with annual coal consumption during the increasing period before 2000. Two downwind sediment cores in downtown Beijing presented such couplings in both increasing and descending periods for coal consumption before and after 2000, respectively, close to the tipping point observed in 2002 for primary energy consumption efficiency. Evidence from stable Pb isotope composition and exceedances of Cu loadings against sediment quality guidelines of China and the USA suggest that vehicular sources have been dominating metal(loid) loadings in sedimentation in these waterscape parks after the "Coal to Gas" transition. These findings would be helpful in identifying environmental impact patterns resulting from shifts in energy consumption structure and dominance of emission sources thereafter.
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Affiliation(s)
- Shen Yu
- Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; The Xiamen Key Laboratory of Smart Management on the Urban Environment, Xiamen 361021, China; Zhejiang A & F University, Hangzhou 311300, China.
| | - Tao Ma
- Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Linlin Zhang
- Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qi Li
- Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; The Xiamen Key Laboratory of Smart Management on the Urban Environment, Xiamen 361021, China
| | - Min Zhou
- Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; The Xiamen Key Laboratory of Smart Management on the Urban Environment, Xiamen 361021, China; Zhejiang A & F University, Hangzhou 311300, China
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32
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Zhang T, Yan B, Henneman L, Kinney P, Hopke PK. Regulation-driven changes in PM 2.5 sources in China from 2013 to 2019, a critical review and trend analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 934:173091. [PMID: 38729379 DOI: 10.1016/j.scitotenv.2024.173091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 04/15/2024] [Accepted: 05/07/2024] [Indexed: 05/12/2024]
Abstract
Identifying changes in source-specific fine particles (PM2.5) over time is essential for evaluating the effectiveness of regulatory measures and informing future policy decisions. After the extreme haze events in China during 2013-14, more comprehensive and stringent policies were implemented to combat PM2.5 pollution. To determine the effectiveness of these policies, it is necessary to assess the changes in the specific source types to which the regulations pertain. Multiple studies have been conducted over the past decade to apportion PM2.5. The purpose of this study was to explore the available literature and conduct a critical review of the reliable results. In total, 5008 articles were screened, but only 48 studies were included for further analysis given our inclusion criteria including covering a monitoring period of ≥1 year and having enough speciation data to provide mass closure. Using these studies, we analyzed temporal and spatial trends across China from 2013 to 2019. We observed the overall decrease in the concentration contributions from all main source categories. The reductions from industry, coal and heavy oil combustion, and the related secondary sulfate were more notable, especially from 2013 to 2016-17. The contributions from biomass burning initially decreased but then increased slightly after 2016 in some locations despite new constraints on agricultural and household burning practices. Although the contributions from vehicle emissions and related secondary nitrate decreased, they gradually became the primary contributors to PM2.5 by ∼2017. Despite the substantial improvements achieved by the air pollution regulation implementations, further improvements in air quality will require additional aggressive actions, especially those targeting vehicular emissions. Ultimately, source apportionment studies based on extended duration, fixed-site sampling are recommended to provide a more thorough understanding of the sources impacting areas and transformations in PM2.5 sources prompted by regulatory actions.
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Affiliation(s)
- Ting Zhang
- Sid and Reva Dewberry Dept. of Civil, Environmental, & Infrastructure Engineering, George Mason University, USA.
| | - Beizhan Yan
- Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
| | - Lucas Henneman
- Sid and Reva Dewberry Dept. of Civil, Environmental, & Infrastructure Engineering, George Mason University, USA
| | - Patrick Kinney
- Boston University School of Public Health, Boston, MA 02118, USA
| | - Philip K Hopke
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA; Institute for a Sustainable Environment, Clarkson University, Potsdam, NY 13699, USA
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33
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Zhu W, Shi J, Wang H, Yu Y, Tan R, Shen R, Chen J, Lou S, Hu M, Guo S. Understanding secondary particles in a regional site of Yangtze River Delta: Insights from mass spectrometric measurement. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 933:172994. [PMID: 38719033 DOI: 10.1016/j.scitotenv.2024.172994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2024] [Revised: 04/29/2024] [Accepted: 05/02/2024] [Indexed: 05/19/2024]
Abstract
Submicron particulate matter (PM1) poses significant risks to health risks and global climate. In this study, secondary organic aerosols (SOA) and inorganic compositions were examined for their physicochemical characteristics and evolution using high-resolution aerosol instruments in Changzhou over one-month period. The results showed that transport accompanied by regional static conditions leaded to the occurrence of heavy pollution. In addition, regional generation and local emissions also leaded to the occurrence of light and moderate pollution during the observation period in Changzhou. Organic aerosols (OA) and nitrate (NO3-) accounted for 45 % and 23 % of PM1, respectively. The increase in PM1 was dominated by the contribution of NO3- and OA. SOA was dominance in OA (63 % with 40 % MO-OOA), which was higher than primary organic aerosols (POA). Besides, photochemical reactions and the high oxidizing nature of the urban atmosphere promoted the production of OA, especially MO-OOA in Changzhou. Our results highlight that secondary particles contribute significantly to PM pollution in Changzhou, underlining the importance of controlling emissions of gaseous precursors, especially under high oxidation conditions.
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Affiliation(s)
- Wenfei Zhu
- School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200233, PR China
| | - Jialin Shi
- School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200233, PR China
| | - Hui Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Ying Yu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Rui Tan
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Ruizhe Shen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Jun Chen
- School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200233, PR China
| | - Shengrong Lou
- School of Energy and Power Engineering, University of Shanghai for Science and Technology, Shanghai 200233, PR China
| | - Min Hu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China
| | - Song Guo
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, International Joint Laboratory for Regional Pollution Control, Ministry of Education (IJRC), College of Environmental Sciences and Engineering, Peking University, Beijing 100871, PR China; Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, PR China.
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34
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Li L, Gao Y, Nie G, Yan X, Wang S, Zhang T, Ramakrishna S, Long YZ, Han W. Biodegradable Poly (L-Lactic acid) Fibrous Membrane with Ribbon-Structured Fibers and Ultrafine Nanofibers Enhances Air Filtration Performance. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024:e2402317. [PMID: 38988143 DOI: 10.1002/smll.202402317] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 06/25/2024] [Indexed: 07/12/2024]
Abstract
Here, the poly (l-lactic acid) (PLLA) membrane with multi-structured networks (MSN) is successfully prepared by electrospinning technology for the first time. It is composed of micron-sized ribbon-structured fibers and ultrafine nanofibers with a diameter of tens of nanometers, and they are connected to form the new network structure. Thanks to the special fiber morphology and structure, the interception and electrostatic adsorption ability for against atmospheric particulate matter (PM) are significantly enhanced, and the resistance to airflow is reduced due to the "slip effect" caused by ultrafine nanofibers. The PLLA MSN membrane shows excellent filtration performance with ultra-high filtration efficiency (>99.9% for PM2.5 and >99.5% for PM0.3) and ultra-low pressure drop (≈20 Pa). It has demonstrated filtration performance that even exceeds current non-biodegradable polymer materials, laying the foundation for future applications of biodegradable PLLA in the field of air filtration. In addition, this new structure also provides a new idea for optimizing the performance of other polymer materials.
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Affiliation(s)
- Lin Li
- Collaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China
| | - Yuyu Gao
- Collaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China
| | - Guangzhi Nie
- Collaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China
| | - Xunchang Yan
- Collaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China
| | - Sai Wang
- Collaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China
| | - Tong Zhang
- Collaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China
| | - Seeram Ramakrishna
- Collaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China
| | - Yun-Ze Long
- Collaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China
- State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao, 266071, China
| | - Wenpeng Han
- Collaborative Innovation Center for Nanomaterials & Devices, College of Physics, Qingdao University, Qingdao, 266071, China
- State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao, 266071, China
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35
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Du F, Shen H, Liu Y, Jiang C. Investigation of the main factor affecting the NO x distribution in the street canyon with the photo-catalytic wall. ENVIRONMENTAL TECHNOLOGY 2024:1-20. [PMID: 38955510 DOI: 10.1080/09593330.2024.2371078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 06/06/2024] [Indexed: 07/04/2024]
Abstract
To find out the most contaminated street region and protect the pedestrian with the photo-catalytic equipment to decrease the hazard of oxynitride (NOx), Computational Fluid Dynamics (CFD) simulation could be used to research the main factor affecting the statistical characteristics of the oxynitride distribution in the urban street canyon with the photo-catalytic building walls. Additionally, the connection was investigated and focused on the swirling flow and oxynitride concentration to find out the root of the main factor affecting oxynitride distribution. The simulation results showed that there was one three-dimensional swirling flow in the whole canyon and the statistical concentration was straightforwardly related to the swirling or whirling flow structure (such as eddy). The characteristics had been confirmed that the whirling flow structure affected the complex oxynitride distribution in the street canyon with the photo-catalytic building walls. Furthermore, one formula was found which described the oxynitride concentration constrained by the street canyon. This study illustrated that different sections in the canyon had various patterns of the whirling flow structure (swirling flow) and oxynitride. In the symmetrical portion of the street canyon (in the middle of the street length), there is one concise equation to describe the NOx concentration affected by the turbulence intensity. Moreover, the equation was presented as CR = 1.094 + 0.11e-I, where I was the turbulence intensity and CR was the oxynitride relative concentration in the street canyon.
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Affiliation(s)
- Fangli Du
- School of Energy and Architecture, Xi'an Aeronautical University, Xi'an, People's Republic of China
| | - Huiyuan Shen
- School of Energy and Architecture, Xi'an Aeronautical University, Xi'an, People's Republic of China
| | - Yanhua Liu
- School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, People's Republic of China
| | - Chao Jiang
- School of Architectural Engineering, Chang'an University, Xi'an, People's Republic of China
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36
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Guo W, Sun Y, Wang Z, Yue H, Wan J, Wang Y, Ren B, Yang Y. The effect of UV 365/Fenton process on the removal of gaseous ethylbenzene in a bubble column reactor. ENVIRONMENTAL TECHNOLOGY 2024:1-11. [PMID: 38955504 DOI: 10.1080/09593330.2024.2369731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 04/14/2024] [Indexed: 07/04/2024]
Abstract
As volatile organic compounds (VOCs), gaseous ethylbenzene has adverse effects on human health and ecology. Therefore, an effective degradation process is highly desirable. The Fenton process under UV 365 nm was selected as the first option to remove gaseous ethylbenzene in a bubble column reactor. The main parameters for the batch experiments were systematically studied, including H2O2 concentration, [H2O2]/[Fe2+], pH, UV wavelength, UV intensity, gaseous ethylbenzene concentration, gas flow rate, and process stability towards removal efficiency. The optimum conditions were found to be H2O2 concentration of 100 mmol·L-1, [H2O2]/[Fe2+] of 4, pH of 3.0, UV wavelength of 365 nm, UV power of 5 W, gas flow rate of 900 mL·min-1, and gaseous ethylbenzene concentration of 30 ppm, resulting in a removal efficiency of 76.3%. The study found that the Fenton process, when coupled with UV 365 nm, was highly effective in removing gaseous ethylbenzene. The degradation mechanism of gaseous ethylbenzene was proposed in the UV365/Fenton process based on EPR, radical quenching experiments, iron analysis, carbon balance, and GC-MS analysis. The results indicated that •OH played a crucial role in the process.
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Affiliation(s)
- Weiwei Guo
- Henan Xinanli Security Technology Co. Ltd., Zhengzhou, People's Republic of China
- School of Chemical Engineering, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Yanchen Sun
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Zhen Wang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Huanjuan Yue
- Henan Xinanli Security Technology Co. Ltd., Zhengzhou, People's Republic of China
| | - Junfeng Wan
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Yan Wang
- School of Ecology and Environment, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Baozeng Ren
- School of Chemical Engineering, Zhengzhou University, Zhengzhou, People's Republic of China
| | - Yaodang Yang
- Henan Xinanli Security Technology Co. Ltd., Zhengzhou, People's Republic of China
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37
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Geng XZ, Hu JT, Zhang ZM, Li ZL, Chen CJ, Wang YL, Zhang ZQ, Zhong YJ. Exploring efficient strategies for air quality improvement in China based on its regional characteristics and interannual evolution of PM 2.5 pollution. ENVIRONMENTAL RESEARCH 2024; 252:119009. [PMID: 38679277 DOI: 10.1016/j.envres.2024.119009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 04/16/2024] [Accepted: 04/22/2024] [Indexed: 05/01/2024]
Abstract
Fine particulate matter (PM2.5) harms human health and hinders normal human life. Considering the serious complexity and obvious regional characteristics of PM2.5 pollution, it is urgent to fill in the comprehensive overview of regional characteristics and interannual evolution of PM2.5. This review studied the PM2.5 pollution in six typical areas between 2014 and 2022 based on the data published by the Chinese government and nearly 120 relevant literature. We analyzed and compared the characteristics of interannual and quarterly changes of PM2.5 concentration. The Beijing-Tianjin-Hebei region (BTH), Yangtze River Delta (YRD) and Pearl River Delta (PRD) made remarkable progress in improving PM2.5 pollution, while Fenwei Plain (FWP), Sichuan Basin (SCB) and Northeast Plain (NEP) were slightly inferior mainly due to the relatively lower level of economic development. It was found that the annual average PM2.5 concentration change versus year curves in the three areas with better pollution control conditions can be merged into a smooth curve. Importantly, this can be fitted for the accurate evaluation of each area and provide reliable prediction of its future evolution. In addition, we analyzed the factors affecting the PM2.5 in each area and summarize the causes of air pollution in China. They included primary emission, secondary generation, regional transmission, as well as unfavorable air dispersion conditions. We also suggested that the PM2.5 pollution control should target specific industries and periods, and further research need to be carried out on the process of secondary production. The results provided useful assistance such as effect prediction and strategy guidance for PM2.5 pollution control in Chinese backward areas.
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Affiliation(s)
- Xin-Ze Geng
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China.
| | - Jia-Tian Hu
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Zi-Meng Zhang
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Zhi-Ling Li
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Chong-Jun Chen
- School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou, 215009, China
| | - Yu-Long Wang
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Zhi-Qing Zhang
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
| | - Ying-Jie Zhong
- State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin, 150090, China
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38
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Xing J, Ding R, Chen F, Peng L, Wang W, Song X, Ye Q, Liu Y. Fine particle trace elements at a mountain site in southern China: Source identification, transport, and health risks. J Environ Sci (China) 2024; 141:166-181. [PMID: 38408818 DOI: 10.1016/j.jes.2023.09.035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 09/26/2023] [Accepted: 09/26/2023] [Indexed: 02/28/2024]
Abstract
Trace elements in atmospheric particulate matter play a significant role in air quality, human health, and biogeochemical cycles. In this study, the trace elements (Ca, Al, K, Fe, Na, Mg, Zn, Pb, Mn, Ti, Cu, Cr, Sr, Ni) in PM2.5 samples collected at the summit of Mt. Lushan were analyzed to quantify their abundance, source, transport, and health risks. During the whole sampling period, the major trace elements was Ca, Al, and K. While the trace metals with the lowest concentrations were Sr, Ni, Rb, and Cd. The trace elements were influenced by air mass transport routes, exhibiting an increasing trend of crustal elements in the northwesterly airmass and anthropogenic elements (Zn, Mn, Cu, and Ni) in the easterly air masses. Construction dust, coal + biomass burning, vehicle emission, urban nitrate-rich + urban waste incineration emissions, and soil dust + industry emissions were common sources of PM2.5 on Mt. Lushan. Different air mass transport routes had various source contribution patterns. These results indicate that trace elements at Mt. Lushan are influenced by regional anthropogenic emissions and monsoon-dominated trace element transport. The total resulting cancer risk value that these elements posed were below the acceptable risk value of 1 × 10-6, while the non-carcinogenic risk value (1.72) was higher than the safety level, suggesting that non-carcinogenic effects due to these trace elements inhalation were likely to occur. Vehicle emission and coal + biomass burning were the common dominant sources of non-cancer risks posed by trace elements at Mt. Lushan.
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Affiliation(s)
- Jiaoping Xing
- Key Laboratory of State Forestry and Grassland Administration on Forest Ecosystem Protection and Restoration of Poyang Lake Watershed, School of Forestry, Jiangxi Agricultural University, Nanchang 330045, China.
| | - Runping Ding
- Key Laboratory of State Forestry and Grassland Administration on Forest Ecosystem Protection and Restoration of Poyang Lake Watershed, School of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Feifeng Chen
- Key Laboratory of State Forestry and Grassland Administration on Forest Ecosystem Protection and Restoration of Poyang Lake Watershed, School of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Linyu Peng
- Key Laboratory of State Forestry and Grassland Administration on Forest Ecosystem Protection and Restoration of Poyang Lake Watershed, School of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Wenhua Wang
- School of Resources and Materials, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China
| | - Xiaoyan Song
- College of Geosciences and Engineering, North China University of Water Resources & Electric Power, Zhengzhou 450046, China
| | - Qing Ye
- Key Laboratory of State Forestry and Grassland Administration on Forest Ecosystem Protection and Restoration of Poyang Lake Watershed, School of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
| | - Yuanqiu Liu
- Key Laboratory of State Forestry and Grassland Administration on Forest Ecosystem Protection and Restoration of Poyang Lake Watershed, School of Forestry, Jiangxi Agricultural University, Nanchang 330045, China
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Faiz MA, Ma N, Naz F. Floods and droughts research progress and its contributions toward sustainability. Heliyon 2024; 10:e32879. [PMID: 38988587 PMCID: PMC11234029 DOI: 10.1016/j.heliyon.2024.e32879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 05/19/2024] [Accepted: 06/11/2024] [Indexed: 07/12/2024] Open
Abstract
In 2015, the United Nations General Assembly launched seventeen Sustainable Development Goals (SDGs), aimed at being achieved by 2030. The SDGs 6 (clean water & sanitation) and 13 (climate actions) are two critically important goals concerning water resources that need to be addressed. This study used the Scopus database to explore climate extremes, specifically droughts and floods, in East Asia and highlight the region's efforts and contributions towards achieving SDGs 6 and 13. We found that even before the implementation of SDGs, the topics related to solving the problems of water resources, water quality, and treatment of wastewater using different conceptual models and methodologies were the main concerns in the region. The adoption of SDGs has led to a heightened focus on water and climate sustainability in East Asia, with the considerable surge in climate-related studies after 2019. Under SDG 13, all countries have contributed substantially to climate action research. Keyword analysis indicates that climate change, water management, water treatment, water quality, and adsorption remain prominent. SDGs 6 and 13 have emerged as crucial areas of focus for research and initiatives as the global community grapples with escalating water resources and climate challenges. Under specific keywords search, China has 2nd place in the search with climate and water during the SDGs period, accounting for 21 % of the entire publication from 2015 to 2023. Japan and South Korea account for of 4 % and 3 %, respectively. The research on floods and droughts has garnered significant attention, with half of the ten highly co-cited literature examining the changing pattern of drought, the influence of extreme events on crop yield, and other related topics. Despite the positive contribution of the East Asia region towards SDGs 6 and 13, there is still an urgent need for a more robust framework to improve the complex interconnections between climate actions, clean water, and sanitation for a sustainable soil-water-plant-atmosphere ecosystem.
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Affiliation(s)
- Muhammad Abrar Faiz
- School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin, 150030, China
| | - Ning Ma
- Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China
| | - Farah Naz
- Department of Civil Engineering, Khawaja Fareed University, Rahim Yar Khan, Pakistan
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40
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Fu Z, Liu W, Bai X, Yang J, Wu B, Tian H. Emissions of volatile organic compounds from Chinese coal-fired power plants: Characteristics, source profile, inventories, and impacts. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 947:174304. [PMID: 38945240 DOI: 10.1016/j.scitotenv.2024.174304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Revised: 06/20/2024] [Accepted: 06/24/2024] [Indexed: 07/02/2024]
Abstract
Volatile organic compounds (VOCs) are key precursors for secondary organic aerosols (SOA) and ozone, imposing severe impacts on human health and environment. Considering the massive coal consumption, coal fired power plants (CFPPs) in China are non-negligible VOCs contributors, whose emission characteristics remain inadequately understood. Here, we investigated emission characteristics of 117 VOCs by field tests in four typical CFPPs, and a latest localized CFPPs source profile was compiled by integrating literature reviews. Then speciated-VOCs emission inventories for 2018-2022 were established based on dynamic emission factors and unit-level activity data. The results suggested that oxygenated VOCs (OVOCs) constituted the dominant group (76.5 %), with propionaldehyde (32.0 %) and formaldehyde (24.5 %) being the predominant species. OVOCs (93.2 %) and aromatics (77.4 %) were identified as the primary contributors to ozone and SOA, respectively. Driven by both the rise in coal consumption and technological advancements, nationwide VOCs emissions decreased from 83,393 t in 2018 to 53,251 t in 2022. Regional disparities and varying rates of decline in provincial emissions were evident, with VOCs emissions predominantly concentrated in northern and eastern provinces. Neimenggu, Shandong, Shanxi, Jiangsu, and Guangdong were identified as the top five provinces with the highest emissions. We believe this study would be conducive to a more comprehensive understanding and effective control of VOCs emissions from CFPPs in China.
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Affiliation(s)
- Zhiqiang Fu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Wei Liu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Xiaoxuan Bai
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Junqi Yang
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Bobo Wu
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China
| | - Hezhong Tian
- State Key Joint Laboratory of Environmental Simulation & Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China; Center for Atmospheric Environmental Studies, Beijing Normal University, Beijing 100875, China.
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41
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Chang CY, Wang JL, Chen YC, Chen WN, Wang SH, Chuang MT, Lin NH, Chou CCK, Huang WS, Ke LJ, Pan XX, Ho YJ, Chen YY, Chang CC. Spatiotemporal characterization of PM 2.5, O 3, and trace gases associated with East Asian continental outflows via drone sounding. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 930:172732. [PMID: 38663609 DOI: 10.1016/j.scitotenv.2024.172732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2024] [Revised: 04/16/2024] [Accepted: 04/22/2024] [Indexed: 05/02/2024]
Abstract
East Asian continental outflows with PM2.5, O3, and other species may determine the baseline conditions and affect the air quality in downwind areas via long-range transport (LRT). To gain insight into the impact and spatiotemporal characteristics of airborne pollutants in East Asian continental outflows, a versatile multicopter drone sounding platform was used to simultaneously observe PM2.5, O3, CO2, and meteorological variables (temperature, specific humidity, pressure, and wind vector) above the northern tip of Taiwan, Cape Fuiguei, which often encounters continental outflows during winter monsoon periods. By coordinating hourly high-spatial-resolution profiles provided by drone soundings, WRF/CMAQ model air quality predictions, HYSPLIT-simulated backward trajectories, and MERRA-2 reanalysis data, we analyzed two prominent phenomena of airborne pollutants in continental outflows to better understand their physical/chemical characteristics. First, we found that pollutants were well mixed within a sounding height of 500 m when continental outflows passed through and completely enveloped Cape Fuiguei. Eddies induced by significant fluctuations in wind speeds coupled with minimal temperature inversion and LRT facilitated vertical mixing, possibly resulting in high homogeneity of pollutants within the outflow layer. Second, the drone soundings indicated exceptionally high O3 concentrations (70-100 ppbv) but relatively low concentrations of PM2.5 (10-20 μg/m3), CO2 (420-425 ppmv), and VOCs in some air masses. The low levels of PM2.5, CO2, and VOCs ruled out photochemistry as the cause of the formation of high-level O3. Further coordination of spatiotemporal data with air mass trajectories and O3 cross sections provided by MERRA-2 suggested that the high O3 concentrations could be attributed to stratospheric intrusion and advection via continental outflows. High-level O3 concentrations persisted in the lower troposphere, even reaching the surface, suggesting that stratospheric intrusion O3 may be involved in the rising trend in O3 concentrations in parts of East Asia in recent years in addition to surface photochemical factors.
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Affiliation(s)
- Chih-Yuan Chang
- Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
| | - Jia-Lin Wang
- Department of Chemistry, National Central University, Chungli 320, Taiwan
| | - Yen-Chen Chen
- Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
| | - Wei-Nai Chen
- Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
| | - Sheng-Hsiang Wang
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan
| | - Ming-Tung Chuang
- Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
| | - Neng-Huei Lin
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan
| | - Charles C-K Chou
- Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
| | - Wei-Syun Huang
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan
| | - Li-Jin Ke
- Department of Atmospheric Sciences, National Central University, Taoyuan 32001, Taiwan
| | - Xiang-Xu Pan
- Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
| | - Yu-Jui Ho
- Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
| | - Yi-Ying Chen
- Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan
| | - Chih-Chung Chang
- Research Center for Environmental Changes, Academia Sinica, Taipei 11529, Taiwan.
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42
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Sui X, Xu B, Kostko O, Yu XY. Investigation of pyruvic acid photolysis at the air-liquid interface as a source of aqueous secondary organic aerosols. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 930:172729. [PMID: 38670353 DOI: 10.1016/j.scitotenv.2024.172729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2024] [Revised: 04/22/2024] [Accepted: 04/22/2024] [Indexed: 04/28/2024]
Abstract
Pyruvic acid (PA) is a ubiquitous 2-oxocarboxylic acid in the atmosphere. Its photochemical process at the air-liquid (a-l) interface has been suggested as an important source of aqueous secondary organic aerosols. We investigated the photochemical reaction pathways of PA at the a-l interface using synchrotron-based vacuum ultraviolet single-photon ionization mass spectrometry (VUV SPI-MS) coupled with the System for Analysis at the Liquid Vacuum Interface (SALVI) microreactor. Results from mass spectral analysis and the determination of appearance energies (AEs) indicate that photolysis of PA can generate radicals, then they recombine with carboxylic acids and simple molecular oligomers. Furthermore, the preliminary products could form larger oligomers via radical reaction or esterification in the presence of hydroxyl and carboxyl functional groups. Mass spectral comparison shows that most photochemical reactions would complete within 4 h. The expanded photochemistry-driven reaction flowchart of PA is proposed based on the newly discovered products. Our results reveal that the interfacial PA photochemical reactions have different mechanisms from the bulk liquid due to the interfacial properties, such as molecular density, composition, and ion concentration. Our findings show that in situ mass spectral analysis with bright photon ionization is useful to elucidate the contribution of a-l interfacial reactions leading to aqSOA formation.
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Affiliation(s)
- Xiao Sui
- College of Geography and Environment, Shandong Normal University, Jinan 250358, China
| | - Bo Xu
- Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Oleg Kostko
- Chemical Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States
| | - Xiao-Ying Yu
- Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830-6136, United States.
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43
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Liang D, Niu Z, Wang G, Feng X, Lyu M, Pang X, Li M, Gu H. Measurement of the vertical distributions of atmospheric pollutants using an uncrewed aerial vehicle platform in Xi'an, China. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2024; 26:1077-1089. [PMID: 38742391 DOI: 10.1039/d4em00020j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Vertical observations of atmospheric pollutants play crucial roles in a comprehensive understanding of the distribution characteristics and transport of atmospheric pollutants. A hexacopter uncrewed aerial vehicle equipped with miniature monitors was employed to measure the vertical distribution of atmospheric pollutants within a height of 1000 m at a rural site in Xi'an, China, in 2021. The concentrations of carbon monoxide (CO) and particulate matter (PM) showed generally decreasing trends with increasing height. The ozone (O3) concentration showed a general increasing trend with height followed by a gradual decreasing trend. Vertical decrements of PM2.5 and CO from 0 to 1000 m were significantly (p < 0.05) lower on observation days during summer (14.0 ± 8.1 μg m-3 and 8.7 ± 6.6 ppb, respectively), compared with those in winter (78.3 ± 14.1 μg m-3 and 34.8 ± 17.3 ppb, respectively). The horizontal transport of PM and CO mostly occurred in the morning and at night during winter observations at an altitude of 400-500 m. During the winter haze, the PM and CO profile concentrations below 500 m increased substantially with the decrease in the height of the thermal inversion layer. Vertical O3 transportation was observed in the afternoon and evening during summer, and a ∼37.7% (11.6 ppb) increase in ground-level O3 was observed in relation to vertical transport from the upper atmosphere. The results provide insights into the vertical distribution and transport of atmospheric pollutants in rural areas near cities.
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Affiliation(s)
- Dan Liang
- Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an, 710049, China
- State Key Laboratory of Loess and Quaternary Geology, CAS Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
- Xi'an Institute for Innovative Earth Environment Research, Xi'an, China
| | - Zhenchuan Niu
- Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an, 710049, China
- State Key Laboratory of Loess and Quaternary Geology, CAS Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
- Open Studio for Oceanic-Continental Climate and Environment Changes, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao 266061, China
| | - Guowei Wang
- State Key Laboratory of Loess and Quaternary Geology, CAS Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
- Xi'an Institute for Innovative Earth Environment Research, Xi'an, China
- Shaanxi Provincial Key Laboratory of Accelerator Mass Spectrometry Technology and Application, Xi'an AMS Center, Xi'an 710061, China
| | - Xue Feng
- State Key Laboratory of Loess and Quaternary Geology, CAS Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
- Xi'an Institute for Innovative Earth Environment Research, Xi'an, China
- National Observation and Research Station of Regional Ecological Environment Change, Comprehensive Management in the Guanzhong Plain, Shaanxi, China
| | - Mengni Lyu
- State Key Laboratory of Loess and Quaternary Geology, CAS Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
- Xi'an Institute for Innovative Earth Environment Research, Xi'an, China
| | - Xiaobing Pang
- Environment School, Zhejiang University of Technology, Hangzhou, China
| | - Ming Li
- State Key Laboratory of Loess and Quaternary Geology, CAS Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Huachun Gu
- State Key Laboratory of Loess and Quaternary Geology, CAS Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
- Xi'an Institute for Innovative Earth Environment Research, Xi'an, China
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44
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Xu L, Liu Y, Feng S, Liu C, Zhong X, Ren Y, Liu Y, Huang Y, Yang M. The relationship between atmospheric particulate matter, leaf surface microstructure, and the phyllosphere microbial diversity of Ulmus L. BMC PLANT BIOLOGY 2024; 24:566. [PMID: 38880875 PMCID: PMC11181616 DOI: 10.1186/s12870-024-05232-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Accepted: 05/31/2024] [Indexed: 06/18/2024]
Abstract
BACKGROUND Plants can retain atmospheric particulate matter (PM) through their unique foliar microstructures, which has a profound impact on the phyllosphere microbial communities. Yet, the underlying mechanisms linking atmospheric particulate matter (PM) retention by foliar microstructures to variations in the phyllosphere microbial communities remain a mystery. In this study, we conducted a field experiment with ten Ulmus lines. A series of analytical techniques, including scanning electron microscopy, atomic force microscopy, and high-throughput amplicon sequencing, were applied to examine the relationship between foliar surface microstructures, PM retention, and phyllosphere microbial diversity of Ulmus L. RESULTS We characterized the leaf microstructures across the ten Ulmus lines. Chun exhibited a highly undulated abaxial surface and dense stomatal distribution. Langya and Xingshan possessed dense abaxial trichomes, while Lieye, Zuiweng, and Daguo had sparsely distributed, short abaxial trichomes. Duomai, Qingyun, and Lang were characterized by sparse stomata and flat abaxial surfaces, whereas Jinye had sparsely distributed but extensive stomata. The mean leaf retention values for total suspended particulate (TSP), PM2.5, PM2.5-10, PM10-100, and PM> 100 were 135.76, 6.60, 20.10, 90.98, and 13.08 µg·cm- 2, respectively. Trichomes substantially contributed to PM2.5 retention, while larger undulations enhanced PM2.5-10 retention, as evidenced by positive correlations between PM2.5 and abaxial trichome density and between PM2.5-10 and the adaxial raw microroughness values. Phyllosphere microbial diversity patterns varied among lines, with bacteria dominated by Sediminibacterium and fungi by Mycosphaerella, Alternaria, and Cladosporium. Redundancy analysis confirmed that dense leaf trichomes facilitated the capture of PM2.5-associated fungi, while bacteria were less impacted by PM and struggled to adhere to leaf microstructures. Long and dense trichomes provided ideal microhabitats for retaining PM-borne microbes, as evidenced by positive feedback loops between PM2.5, trichome characteristics, and the relative abundances of microorganisms like Trichoderma and Aspergillus. CONCLUSIONS Based on our findings, a three-factor network profile was constructed, which provides a foundation for further exploration into how different plants retain PM through foliar microstructures, thereby impacting phyllosphere microbial communities.
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Grants
- 216Z6301G Science and Technology Development Fund of Central Guidance on Local, China
- 216Z6301G Science and Technology Development Fund of Central Guidance on Local, China
- 216Z6301G Science and Technology Development Fund of Central Guidance on Local, China
- 216Z6301G Science and Technology Development Fund of Central Guidance on Local, China
- 216Z6301G Science and Technology Development Fund of Central Guidance on Local, China
- 216Z6301G Science and Technology Development Fund of Central Guidance on Local, China
- 216Z6301G Science and Technology Development Fund of Central Guidance on Local, China
- 216Z6301G Science and Technology Development Fund of Central Guidance on Local, China
- 216Z6301G Science and Technology Development Fund of Central Guidance on Local, China
- 21326301D Key Research and Development Program of Hebei Province, China
- 21326301D Key Research and Development Program of Hebei Province, China
- 21326301D Key Research and Development Program of Hebei Province, China
- 21326301D Key Research and Development Program of Hebei Province, China
- 21326301D Key Research and Development Program of Hebei Province, China
- 21326301D Key Research and Development Program of Hebei Province, China
- 21326301D Key Research and Development Program of Hebei Province, China
- 21326301D Key Research and Development Program of Hebei Province, China
- 21326301D Key Research and Development Program of Hebei Province, China
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Affiliation(s)
- Liren Xu
- Hebei Agricultural University, Baoding, 071000, Hebei, China
- Hebei Academy of Forestry and Grassland Science, Shijiazhuang, 050061, Hebei, China
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Yichao Liu
- Hebei Academy of Forestry and Grassland Science, Shijiazhuang, 050061, Hebei, China
| | - Shuxiang Feng
- Hebei Academy of Forestry and Grassland Science, Shijiazhuang, 050061, Hebei, China
| | - Chong Liu
- Hebei Agricultural University, Baoding, 071000, Hebei, China
| | - Xinyu Zhong
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Yachao Ren
- Hebei Agricultural University, Baoding, 071000, Hebei, China
| | - Yujun Liu
- National Engineering Laboratory for Tree Breeding, College of Biological Sciences and Biotechnology, Beijing Forestry University, Beijing, 100083, China
| | - Yinran Huang
- Hebei Agricultural University, Baoding, 071000, Hebei, China.
- Hebei Academy of Forestry and Grassland Science, Shijiazhuang, 050061, Hebei, China.
| | - Minsheng Yang
- Hebei Agricultural University, Baoding, 071000, Hebei, China.
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45
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Ning C, Gao Y, Sun S, Yang H, Tang W, Wang D. Size-Resolved Molecular Characterization of Water-Soluble Organic Matter in Atmospheric Particulate Matter from Northern China. ENVIRONMENTAL RESEARCH 2024; 258:119436. [PMID: 38897433 DOI: 10.1016/j.envres.2024.119436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 06/13/2024] [Accepted: 06/15/2024] [Indexed: 06/21/2024]
Abstract
Atmospheric particulate matter (PM) affects visibility, climate, biogeochemical cycles and human health. Water-soluble organic matter (WSOM) is an important component of PM. In this study, PM samples with size-resolved measurements at aerodynamic cut-point diameters (Dp) of 0.01-18μm were collected in the rural area of Baoding and the urban area of Dalian, Northern China. Non-targeted analysis was adopted for the characterization of the molecule constitutes of WSOM in different sized particles using Fourier transform-ion cyclotron resonance mass spectrometry. Regardless of the location, the composition of WSOM in Aitken mode particles (aerodynamic diameter < 0.05 μm) was similar. The WSOM in accumulation mode particles (0.05-2 μm) in Baoding was predominantly composed of CHO compounds (84.9%), which were mainly recognized as lignins and lipids species. However, S-containing compounds (64.2%), especially protein and carbohydrates species, accounted for most of the WSOM in the accumulation mode particles in Dalian. The CHO compounds (67.6%-79.7%) contributed the most to the WSOM in coarse mode particles (> 2 μm) from both sites. Potential sources analysis indicated the WSOM in Baoding were mainly derived from biomass burning and oxidation reactions, while the WSOM in Dalian arose from coal combustion, oxidation reactions, and regional transport.
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Affiliation(s)
- Cuiping Ning
- School of Chemical Engineering, University of Science and Technology Liaoning, Anshan, 114051, China
| | - Yuan Gao
- Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
| | - Shuai Sun
- Key Laboratory of Pesticide Environmental Assessment and Pollution Control, Nanjing Institute of Environmental Science, Ministry of Ecology and Environment of the People's Republic of China, Nanjing, 210042, China.
| | - Haiming Yang
- School of Chemical Engineering, University of Science and Technology Liaoning, Anshan, 114051, China
| | - Wei Tang
- School of Chemical Engineering, University of Science and Technology Liaoning, Anshan, 114051, China
| | - Dan Wang
- School of Chemical Engineering, University of Science and Technology Liaoning, Anshan, 114051, China
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46
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Wen Z, Ma X, Xu W, Si R, Liu L, Ma M, Zhao Y, Tang A, Zhang Y, Wang K, Zhang Y, Shen J, Zhang L, Zhao Y, Zhang F, Goulding K, Liu X. Combined short-term and long-term emission controls improve air quality sustainably in China. Nat Commun 2024; 15:5169. [PMID: 38886390 PMCID: PMC11183230 DOI: 10.1038/s41467-024-49539-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Accepted: 06/10/2024] [Indexed: 06/20/2024] Open
Abstract
The effectiveness of national policies for air pollution control has been demonstrated, but the relative effectiveness of short-term emission reduction measures in comparison with national policies has not. Here we show that short-term abatement measures during important international events substantially reduced PM2.5 concentrations, but air quality rebounded to pre-event levels after the measures ceased. Long-term adherence to strict emission reduction policies led to successful decreases of 54% in PM2.5 concentrations in Beijing, and 23% in atmospheric nitrogen deposition in China from 2012 to 2020. Incentivized by "blue skies" type campaigns, economic development and reactive nitrogen pollution are quickly decoupled, showing that a combination of inspiring but aggressive short-term measures and effective but durable long-term policies delivers sustainable air quality improvement. However, increased ammonia concentrations, transboundary pollutant flows, and the complexity to achieving reduction targets under climate change scenarios, underscore the need for the synergistic control of multiple pollutants and inter-regional action.
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Affiliation(s)
- Zhang Wen
- State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, 100193, China
- State Environmental Protection Key Laboratory of Environmental Pollution and Greenhouse Gases Co-control, Chinese Academy of Environmental Planning, Beijing, 100041, China
| | - Xin Ma
- State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, 100193, China
| | - Wen Xu
- State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, 100193, China
| | - Ruotong Si
- State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, 100193, China
| | - Lei Liu
- State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, 100193, China
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Mingrui Ma
- State Key Laboratory of Pollution Control & Resource Reuse and School of Environment, Nanjing University, Nanjing, 210008, China
| | - Yuanhong Zhao
- College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao, 266100, China
| | - Aohan Tang
- State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, 100193, China
| | - Yangyang Zhang
- State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, 100193, China
| | - Kai Wang
- State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, 100193, China
| | - Ying Zhang
- State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, 100193, China
| | - Jianlin Shen
- Instute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, China
| | - Lin Zhang
- Laboratory for Climate and Ocean-Atmosphere Studies, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, 100871, China
| | - Yu Zhao
- State Key Laboratory of Pollution Control & Resource Reuse and School of Environment, Nanjing University, Nanjing, 210008, China
| | - Fusuo Zhang
- State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, 100193, China
| | - Keith Goulding
- Sustainable Soils and Crops, Rothamsted Research, Harpenden, AL5 2JQ, UK
| | - Xuejun Liu
- State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, National Academy of Agriculture Green Development, China Agricultural University, Beijing, 100193, China.
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47
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Hao W, Liang B, Chen J, Chen Y, Wang Z, Zhao X, Peng C, Tian M, Yang F. Secondary formation of oxygenated and nitrated polycyclic aromatic compounds under stagnant weather conditions: Drivers and seasonal variation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 929:172487. [PMID: 38631623 DOI: 10.1016/j.scitotenv.2024.172487] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 03/31/2024] [Accepted: 04/12/2024] [Indexed: 04/19/2024]
Abstract
Severe air pollution tends to occur under stagnant weather conditions. This study focused on the occurrence and formation of PM2.5-bound polycyclic aromatic compounds (PACs) under stagnant weather conditions, in consideration of their adverse human health effect and ecological toxicity. The concentrations of PACs were higher under stagnant weather conditions than in other situations with averaged values of 46.0 ng/m3 versus 12.3-39.9 ng/m3 for total PACs. Secondary formation contributed to over half of the oxygenated and nitrated polycyclic aromatic compounds (OPAHs and NPAHs). Further analyses revealed different formation mechanisms for secondary OPAHs and NPAHs. Secondary production of OPAHs was sensitive to the variations of both temperature (T) and O3 concentration at T < 22 °C but sustained at a high level despite the fluctuation of temperature and O3 concentration at T > 22 °C. Elevated NO2 concentrations favored the formation of inorganic nitrogen-containing products over NPAHs under lower temperature and higher humidity. Stagnant weather events, accompanied by raised PAC levels occurred in all seasons, but their effects on secondary processes differed among seasons. The elevated temperature, lowered humidity, and increased NO2 level facilitated the secondary formation of OPAHs and/or NPAHs during the stagnant weather events in spring and summer. While under the temperature and humidity conditions in autumn and winter, increased NO2 levels during stagnant weather events promoted the production of secondary inorganic nitrogen-containing compounds over organic products. This study raised concern about the toxic organic pollutants in the atmosphere under stagnant weather conditions and revealed different formation mechanisms between secondary oxygenated and nitrated pollutants as well as among different seasons.
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Affiliation(s)
- Weiwei Hao
- College of Environment and Ecology, Chongqing University, Chongqing 400045, China
| | - Bo Liang
- Materials Quality Supervision & Inspection Research Center, Chongqing Academy of Metrology and Quality Inspection, Chongqing 401123, China
| | - Jing Chen
- College of Environment and Ecology, Chongqing University, Chongqing 400045, China
| | - Yang Chen
- Research Center for Atmospheric Environment, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 400714, China
| | - Ziqian Wang
- College of Environment and Ecology, Chongqing University, Chongqing 400045, China
| | - Xinquan Zhao
- College of Environment and Ecology, Chongqing University, Chongqing 400045, China
| | - Chao Peng
- Chongqing Academy of Eco-Environmental Science, Chongqing 401147, China
| | - Mi Tian
- College of Environment and Ecology, Chongqing University, Chongqing 400045, China; Key Laboratory of Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400045, China.
| | - Fumo Yang
- National Engineering Research Center for Flue Gas Desulfurization, Department of Environmental Science and Engineering, Sichuan University, Chengdu 610065, China
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48
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Xiao H, Ji C, Ding S, Li X. Strategic control of combustion-induced ammonia emissions: A key initiative for substantial PM 2.5 reduction in Tianjin, North China Plain. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172328. [PMID: 38614324 DOI: 10.1016/j.scitotenv.2024.172328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 03/11/2024] [Accepted: 04/06/2024] [Indexed: 04/15/2024]
Abstract
Information on the temporal and spatial variations in the sources of ammonium salts (NH4+), a crucial alkaline component in PM2.5, is limited. Here, we simultaneously collected PM2.5 and gaseous ammonia (NH3) samples in both summer and winter from two sites in Tianjin: an urban site (Tianjin University, TJU) and a suburban site (Binhai New-region, BH). NH3 concentrations, the contents of major water-soluble inorganic ions in PM2.5, and the compositions of ammonium‑nitrogen isotopes (δ15N-NH4+) were measured. As a result, (NH4)2SO4 and NH4NO3 were the predominant forms of NH4+ in PM2.5 during summer and winter, respectively. However, the NH4NO3 concentrations were notably greater at TJU (6.2 ± 7.3 μg m-3) than at BH (3.8 ± 4.7 μg m-3) in summer, with no regional differences observed in winter. Both sites displayed almost half the contribution of c-NH3 (combustion-related NH3) to NH4+, differing from the finding of previous isotope-based studies. This discrepancy could be attributed to the combined effects of NHx isotope fractionation and seasonal δ15N value variations in NH3 sources. The contribution fractions of v-NH3 (volatile NH3) and c-NH3 exhibited similar patterns at both sites seasonally, probably caused by coal combustion for heating in winter and temperature fluctuations. However, the contribution fraction of c-NH3 was lower at BH than at TJU in summer but greater in winter than at TJU. In summer, NH4NO3 was unstable and limited its delivery to TJU from BH, and the high contribution of c-NH3 to NH4+ at TJU could be attributed to local vehicle emissions. In winter, the stable particulate NH4NO3 that formed from the c-NH3 in the upwind area could be transported to the downwind area, increasing the NH4+ concentration at BH. Our study provides valuable insights for devising emission mitigation strategies to alleviate the increasing burden of NH3 in the local atmosphere.
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Affiliation(s)
- Hao Xiao
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Chuanwen Ji
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Shiyuan Ding
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Xiaodong Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China.
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49
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Cheung RKY, Qi L, Manousakas MI, Puthussery JV, Zheng Y, Koenig TK, Cui T, Wang T, Ge Y, Wei G, Kuang Y, Sheng M, Cheng Z, Li A, Li Z, Ran W, Xu W, Zhang R, Han Y, Wang Q, Wang Z, Sun Y, Cao J, Slowik JG, Dällenbach KR, Verma V, Gysel-Beer M, Qiu X, Chen Q, Shang J, El-Haddad I, Prévôt ASH, Modini RL. Major source categories of PM 2.5 oxidative potential in wintertime Beijing and surroundings based on online dithiothreitol-based field measurements. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 928:172345. [PMID: 38621537 DOI: 10.1016/j.scitotenv.2024.172345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 04/05/2024] [Accepted: 04/07/2024] [Indexed: 04/17/2024]
Abstract
Fine particulate matter (PM2.5) causes millions of premature deaths each year worldwide. Oxidative potential (OP) has been proposed as a better metric for aerosol health effects than PM2.5 mass concentration alone. In this study, we report for the first time online measurements of PM2.5 OP in wintertime Beijing and surroundings based on a dithiothreitol (DTT) assay. These measurements were combined with co-located PM chemical composition measurements to identify the main source categories of aerosol OP. In addition, we highlight the influence of two distinct pollution events on aerosol OP (spring festival celebrations including fireworks and a severe regional dust storm). Source apportionment coupled with multilinear regression revealed that primary PM and oxygenated organic aerosol (OOA) were both important sources of OP, accounting for 41 ± 12 % and 39 ± 10 % of the OPvDTT (OP normalized by the sampled air volume), respectively. The small remainder was attributed to fireworks and dust, mainly resulting from the two distinct pollution events. During the 3.5-day spring festival period, OPvDTT spiked to 4.9 nmol min-1 m-3 with slightly more contribution from OOA (42 ± 11 %) and less from primary PM (31 ± 15 %). During the dust storm, hourly-averaged PM2.5 peaked at a very high value of 548 μg m-3 due to the dominant presence of dust-laden particles (88 % of total PM2.5). In contrast, only mildly elevated OPvDTT values (up to 1.5 nmol min-1 m-3) were observed during this dust event. This observation indicates that variations in OPvDTT cannot be fully explained using PM2.5 alone; one must also consider the chemical composition of PM2.5 when studying aerosol health effects. Our study highlights the need for continued pollution control strategies to reduce primary PM emissions, and more in-depth investigations into the source origins of OOA, to minimize the health risks associated with PM exposure in Beijing.
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Affiliation(s)
- Rico K Y Cheung
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
| | - Lu Qi
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
| | - Manousos I Manousakas
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
| | - Joseph V Puthussery
- Department of Civil & Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States; now at: Department of Energy, Environmental & Chemical Engineering, Washington University in St Louis, St. Louis, Missouri, 63130, United States
| | - Yan Zheng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Theodore K Koenig
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Tianqu Cui
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
| | - Tiantian Wang
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
| | - Yanli Ge
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Gaoyuan Wei
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Yu Kuang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Mengshuang Sheng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Zhen Cheng
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Ailin Li
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Zhiyu Li
- Key Laboratory of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Weikang Ran
- Key Laboratory of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Weiqi Xu
- Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Renjian Zhang
- Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yuemei Han
- Key Laboratory of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Qiyuan Wang
- Key Laboratory of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Zifa Wang
- Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Yele Sun
- Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Junji Cao
- Key Laboratory of Aerosol Chemistry and Physics, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
| | - Jay G Slowik
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
| | - Kaspar R Dällenbach
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
| | - Vishal Verma
- Department of Civil & Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States
| | - Martin Gysel-Beer
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
| | - Xinghua Qiu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Qi Chen
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Jing Shang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Imad El-Haddad
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland
| | - André S H Prévôt
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland.
| | - Robin L Modini
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute, 5232 Villigen PSI, Switzerland.
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50
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Wang Z, Couvidat F, Sartelet K. Response of biogenic secondary organic aerosol formation to anthropogenic NOx emission mitigation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 927:172142. [PMID: 38583610 DOI: 10.1016/j.scitotenv.2024.172142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 03/21/2024] [Accepted: 03/30/2024] [Indexed: 04/09/2024]
Abstract
This study investigates the effects of anthropogenic nitrogen oxide (NOx) mitigation reduction on secondary organic aerosol (SOA) formation from monoterpene and sesquiterpene precursors across Europe, using the three-dimensional (3-D) Chemical Transport Model (CTM) CHIMERE. Two SOA mechanisms of varying complexity are employed: the GENOA-generated Biogenic Mechanism (GBM) and the Hydrophobic/Hydrophilic Organic mechanism (H2O). GBM is a condensed SOA mechanism generated by automatic reduction from near-explicit chemical mechanisms (i.e., the Master Chemical Mechanism - MCM and the peroxy radical autoxidation mechanism - PRAM) using the GENerator of Reduced Organic Aerosol Mechanisms version 2.0 (GENOA v2.0). Conversely, the H2O mechanism is developed primarily based on experimental data, with simplified chemical pathways and SOA formation yields reflecting those from chamber experiments. In the 3-D simulations conducted for the summer of 2018 over Europe, the implementation of GBM significantly improved the model's performance in comparison to simulations using the H2O mechanism, yielding results more consistent with measured aerosol concentrations extracted from the EBAS database. In response to NOx emission mitigation, simulated SOA concentrations increase with GBM but decrease when using the H2O mechanism, unless a highly oxygenated molecules (HOMs) formation scheme is incorporated. The SOA composition becomes more oxidized and concentrations elevate after NOx reduction, particularly in simulations using GBM. These higher concentrations are likely due to enhanced reaction rates of organic peroxy radicals (RO2) with HO2, resulting in more oxidized products from monoterpene degradation that favors HOM formation. The results suggest that detailed SOA mechanisms including autoxidation are necessary for accurate predictions of SOA concentrations in 3-D modeling.
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Affiliation(s)
- Zhizhao Wang
- Centre d'Enseignement et de Recherche en Environnement Atmosphérique (CEREA), Ecole des Ponts ParisTech, EdF R&D, IPSL, Marne-la-Vallée 77455, Île-de-France, France; Institut National de l'Environnement Industriel et des Risques (INERIS), Verneuil-en-Halatte, 60550 Oise, France; Now at University of California, Riverside (UCR), Riverside 92521, CA, USA; Now at National Center for Atmospheric Research (NCAR), Boulder 80301, CO, USA.
| | - Florian Couvidat
- Institut National de l'Environnement Industriel et des Risques (INERIS), Verneuil-en-Halatte, 60550 Oise, France
| | - Karine Sartelet
- Centre d'Enseignement et de Recherche en Environnement Atmosphérique (CEREA), Ecole des Ponts ParisTech, EdF R&D, IPSL, Marne-la-Vallée 77455, Île-de-France, France
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