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Jiang Z, Gao Y, Cao H, Diao W, Yao X, Yuan C, Fan Y, Chen Y. Characteristics of ambient air quality and its air quality index (AQI) model in Shanghai, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 896:165284. [PMID: 37406688 DOI: 10.1016/j.scitotenv.2023.165284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 06/25/2023] [Accepted: 07/01/2023] [Indexed: 07/07/2023]
Abstract
Long-term observations indicate that, the ambient air quality in Shanghai continues to improve, however the synergistic effects between the air pollutants PM2.5, O3 and NO2 are also increasing. The concentration of chemical components included in PM2.5 is higher in moderately polluted air containing multiple pollutants. This suggests that air pollution metrics based on multi-pollutant synergy are more descriptive of ambient air quality than single-pollutant air quality index (AQI) models that may ignore the effect of synergy between pollutants on ambient air quality forecasts. Therefore, this study proposes a new multi-pollutant air quality index model (NMAQI) based on four air pollutants (PM2.5, SO2, NO2 and O3) that emphasizes the relationship between PM2.5, NO2 and O3 in ambient air. The model successfully categorized observational data into classes of good, moderate, and polluted air quality ratings. Verification of the NMAQI model using the PM2.5 chemical composition spectrum shows that the NMAQI model can more accurately classify samples with high concentrations of chemical components (often misclassified by AQI) into high pollution levels. The model has an improved capacity to assess the degree of pollution in urban ambient air and to reduce the risk of public exposure to highly polluted atmospheric environments.
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Affiliation(s)
- Zexi Jiang
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China.
| | - Yunchuan Gao
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China.
| | - Huaxing Cao
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China
| | - Weixia Diao
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China
| | - Xu Yao
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China
| | - Cancan Yuan
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China
| | - Yueying Fan
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China.
| | - Ya Chen
- School of Environmental and Geographical Sciences, Shanghai Normal University, 100 Guilin Road, Xuhui District, Shanghai, China
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Li G, Chen Q, Sun W, She J, Liu J, Zhu Y, Guo W, Zhang R, Zhu Y, Liu M. Updating and evaluating the NH 3 gas-phase chemical mechanism of MOZART-4 in the WRF-Chem model. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 333:122070. [PMID: 37331578 DOI: 10.1016/j.envpol.2023.122070] [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: 04/05/2023] [Revised: 05/31/2023] [Accepted: 06/15/2023] [Indexed: 06/20/2023]
Abstract
The accuracy of determining atmospheric chemical mechanisms is a key factor in air pollution prediction, pollution-cause analysis and the development of control schemes based on air quality model simulations. However, the reaction of NH3 and OH to generate NH2 and its subsequent reactions are often ignored in the MOZART-4 chemical mechanism. To solve this problem, the gas-phase chemical mechanism of NH3 was updated in this study. Response surface methodology (RSM), integrated gas-phase reaction rate (IRR) diagnosis and process analysis (PA) were used to quantify the influence of the updated NH3 chemical mechanism on the O3 simulated concentration, the nonlinear response relationship of O3 and its precursors, the chemical reaction rate of O3 generation and the meteorological transport process. The results show that the updated NH3 chemical mechanism can reduce the error between the simulated and observed O3 concentrations and better simulate the O3 concentration. Compared with the Base scenario (original chemical mechanism simulated), the first-order term of NH3 in the Updated scenario (updated NH3 chemical mechanism simulated) in RSM passed the significance test (p < 0.05), indicating that NH3 emissions have an influence on the O3 simulation, and the effects of the updated NH3 chemical mechanism on NOx-VOC-O3 in different cities are different. In addition, the analysis of chemical reaction rate changes showed that NH3 can affect the generation of O3 by affecting the NOx concentration and NOx circulation with radicals of OH and HO2 in the Updated scenario, and the change of pollutant concentration in the atmosphere leads to the change of meteorological transmission, eventually leading to the reduction of O3 concentration in Beijing. In conclusion, this study highlights the importance of atmospheric chemistry for air quality models to model atmospheric pollutants and should attract more research focus.
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Affiliation(s)
- Guangyao Li
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Qiang Chen
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China; Lanzhou University Applied Technology Research Institude Co., Ltd, Lanzhou, 730000, China.
| | - Wei Sun
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Jing She
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Jia Liu
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Yuhuan Zhu
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Wenkai Guo
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu, 611756, China
| | - Ruixin Zhang
- School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yufan Zhu
- Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Mingyue Liu
- Ordos Meteorological Bureau of Inner Mongolia, Ordos, 017000, China
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Yang X, Zhang G, Hu S, Wang J, Zhang P, Zhong X, Song H. Summertime carbonyl compounds in an urban area in the North China plain: Identification of sources, key precursors and their contribution to O 3 formation. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023:121908. [PMID: 37257807 DOI: 10.1016/j.envpol.2023.121908] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 05/11/2023] [Accepted: 05/25/2023] [Indexed: 06/02/2023]
Abstract
Carbonyl compounds are critical components of volatile organic compounds. They significantly participate in the photochemical formation of atmospheric ozone and thus threaten human health. This study measured 15 C1-C8 carbonyl compounds at an urban site in Linyi, a typically industrialised city in the North China Plain (NCP). Formaldehyde (3.89 ppbv), acetaldehyde (1.66 ppbv) and acetone (2.03 ppbv) were found to be the top three carbonyl compounds, accounting for 76.11% of the total concentration of carbonyl compounds. Anthropogenic secondary formation was recognised as the main source of the top five carbonyl compounds, which included formaldehyde, acetaldehyde, acetone, butyraldehyde and benzaldehyde, and accounted for 46-54% of all sources. Alkenes were the most important precursors of formaldehyde and acetaldehyde, suggesting that reducing the emission of alkenes from anthropogenic sources is an effective way to control carbonyl compound pollution in Linyi. Furthermore, the photolysis of carbonyl compounds played a significant role (68-75%) as sources of HO2• and RO2• and thus made a significant contribution (14.6%) to the photochemical formation of O3. This study highlights the importance of anthropogenic secondary formation as a source of carbonyl compounds and provides a scientific basis for O3 pollution control in carbonyl compound-enriched cities in the NCP.
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Affiliation(s)
- Xue Yang
- College of Municipal and Environmental Engineering, Shandong Jianzhu University, Ji'nan, 250101, China; Shandong Jinan Ecological Environment Monitoring Center, Ji'nan, 250101, China
| | - Gen Zhang
- State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of China Meteorological Administration, Chinese Academy of Meteorological Sciences, Beijing, 100081, China.
| | - Shuhao Hu
- College of Municipal and Environmental Engineering, Shandong Jianzhu University, Ji'nan, 250101, China
| | - Jinhe Wang
- College of Municipal and Environmental Engineering, Shandong Jianzhu University, Ji'nan, 250101, China
| | - Pengcheng Zhang
- College of Municipal and Environmental Engineering, Shandong Jianzhu University, Ji'nan, 250101, China
| | - Xuelian Zhong
- College of Municipal and Environmental Engineering, Shandong Jianzhu University, Ji'nan, 250101, China
| | - Hengyu Song
- College of Municipal and Environmental Engineering, Shandong Jianzhu University, Ji'nan, 250101, China
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Zhou R, Yan C, Yang Q, Niu H, Liu J, Xue F, Chen B, Zhou T, Chen H, Liu J, Jin Y. Characteristics of wintertime carbonaceous aerosols in two typical cities in Beijing-Tianjin-Hebei region, China: Insights from multiyear measurements. ENVIRONMENTAL RESEARCH 2023; 216:114469. [PMID: 36195159 DOI: 10.1016/j.envres.2022.114469] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 09/09/2022] [Accepted: 09/28/2022] [Indexed: 06/16/2023]
Abstract
In order to investigate the impact of "Blue Sky War" implemented during 2018-2020 on carbonaceous aerosols in Beijing-Tianjin-Hebei (BTH) region, China, fine particulate matter (PM2.5) samples were collected simultaneously in Tianjin and Handan in three consecutive winters from 2018 to 2020. Organic carbon (OC) and elemental carbon (EC) in PM2.5 were measured with the same thermal-optical methods and analysis protocols. Significant reductions in primary organic carbon (POC) and EC concentrations were observed both in Tianjin and Handan, with decreasing rates of 0.65 and 2.95 μg m-3 yr-1 for POC and 0.13 and 0.64 μg m-3 yr-1 for EC, respectively. The measured absorption coefficients of EC (babs, EC) also decreased year by year, with a decreasing rate of 1.82 and 6.16 Mm-1 yr-1 in Tianjin and Handan, respectively. The estimated secondary organic carbon (SOC) concentrations decreased first and then increased in both Tianjin and Handan, accounting for more than half of the total OC in winter of 2020-2021 and with increasing contributions especially in highly polluted days. SOC was recognized as one of key factors influencing EC light absorption. EC in the two cities was relatively more related to coal combustion and industrial sources. The reductions of primary carbonaceous components may be attributed to the air quality regulations targeting coal combustion and industrial sources emissions in BTH area. Potential source contribution function (PSCF) analysis results indicated that the major source areas of OC and EC in Tianjin were the southwest region of the sampling site, while the southeast areas for Handan. These findings demonstrated the effectiveness of air quality regulation in primary emissions in typical polluted cities in BTH region and highlighted the needs for further control and in-depth investigation of SOC formation along with implementation of air pollution control act in the future.
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Affiliation(s)
- Ruizhi Zhou
- Environment Research Institute, Shandong University, Qingdao, 266237, China
| | - Caiqing Yan
- Environment Research Institute, Shandong University, Qingdao, 266237, China; State Key Laboratory of Organic Geochemistry and Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China.
| | - Qiaoyun Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Hongya Niu
- Key Laboratory of Resource Exploration Research of Hebei Province, Hebei University of Engineering, Handan, 056038, China
| | - Junwen Liu
- Institute for Environmental and Climate Research, Jinan University, Guangzhou, 511443, China; Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality, Guangzhou, 511443, China
| | - Fanli Xue
- Key Laboratory of Resource Exploration Research of Hebei Province, Hebei University of Engineering, Handan, 056038, China
| | - Bing Chen
- Environment Research Institute, Shandong University, Qingdao, 266237, China
| | - Taomeizi Zhou
- Environment Research Institute, Shandong University, Qingdao, 266237, China
| | - Haibiao Chen
- Environment Research Institute, Shandong University, Qingdao, 266237, China
| | - Junyi Liu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
| | - Yali Jin
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, China
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Xu W, Zhou W, Li Z, Wang Q, Du A, You B, Qi L, Prévôt ASH, Cao J, Wang Z, Zhu J, Sun Y. Changes in primary and secondary aerosols during a controlled Chinese New Year. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 315:120408. [PMID: 36243190 PMCID: PMC9556005 DOI: 10.1016/j.envpol.2022.120408] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 10/05/2022] [Accepted: 10/06/2022] [Indexed: 05/17/2023]
Abstract
Large reductions in anthropogenic emissions during the Chinese New Year (CNY) holiday in Beijing have been well reported. However, the changes during the CNY of 2021 are different because most people stayed in Beijing to control the spread of coronavirus disease (COVID-19). Here a high-resolution aerosol mass spectrometer (HR-AMS) was deployed for characterization of the changes in size-resolved aerosol composition and sources during the CNY. We found that the reductions in traffic-related NOx and fossil fuel-related organic aerosol (OA), and cooking OA (1.3-12.7%) during the CNY of 2021 were much smaller than those in previous CNY holidays of 2013, 2015, and 2020. In contrast, the mass concentrations of secondary aerosol species except nitrate showed ubiquitous increases (17.6-30.4%) during the CNY of 2021 mainly due to a 4-day severe haze episode. OA composition also changed substantially during the CNY of 2021. In particular, we observed a large increase by nearly a factor of 2 in oxidized primary OA likely from biomass burning, and a decrease of 50.1% in aqueous-phase secondary OA. A further analysis of the severe haze episode during the CNY illustrated a rapid transition of secondary formation from photochemical to aqueous-phase processing followed by a scavenging process, leading to significant changes in aerosol composition, size distributions, and oxidation degree of OA. A parameterization relationship between oxygen-to-carbon (O/C) and f44 (fraction of m/z 44 in OA) from a collocated capture vaporizer aerosol chemical speciation monitor (CV-ACSM) was developed, which has a significant implication for characterization of OA evolution and the impacts on hygroscopicity due to the rapidly increased deployments of CV-ACSM worldwide.
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Affiliation(s)
- Weiqi Xu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Wei Zhou
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Zhijie Li
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Qingqing Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Aodong Du
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Bo You
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lu Qi
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), Villigen 5232, Switzerland
| | - André S H Prévôt
- Laboratory of Atmospheric Chemistry, Paul Scherrer Institute (PSI), Villigen 5232, Switzerland
| | - Junji Cao
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Zifa Wang
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Jiang Zhu
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China
| | - Yele Sun
- State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China; Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
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Qin M, Hu A, Mao J, Li X, Sheng L, Sun J, Li J, Wang X, Zhang Y, Hu J. PM 2.5 and O 3 relationships affected by the atmospheric oxidizing capacity in the Yangtze River Delta, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 810:152268. [PMID: 34902404 DOI: 10.1016/j.scitotenv.2021.152268] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/03/2021] [Revised: 11/15/2021] [Accepted: 12/04/2021] [Indexed: 06/14/2023]
Abstract
The atmospheric oxidizing capacity (AOC), reflecting the self-cleansing capacity of the atmosphere, plays an important role in the chemical evolution of secondary fine particulate matter (PM2.5) and ozone (O3). In this work, the AOC and its relationships with PM2.5 and O3 were investigated with a chemical transport model (CTM) in the Yangtze River Delta (YRD) region during the four seasons of 2017. The region-wide average AOC is ~4.5×10-4 min-1 in summer and ~ 6.4×10-5 min-1 in winter. Hydroxyl (OH) radicals oxidation contributes 55-69% to the total AOC, followed by nitrate (NO3) radicals and O3 (accounting for 19-34% and < 10%, respectively). The AOC attains a strong positive correlation with the O3 level in all seasons. However, it is weakly or insignificantly correlated with PM2.5 except in summer. Additionally, AOC×(SO2 + NO2 + volatile organic compound (VOC)) is well correlated with the PM2.5 level, and high levels of precursors counteract lower AOC values in cold seasons. Collectively, the results indicate that the abundance of precursors could drive secondary aerosol formation in winter, and aqueous or heterogeneous reactions (not considered in the AOC estimates) are likely of importance at high aerosol loadings in the YRD. The relationship between the daily PM2.5 and O3 levels is affected by the AOC magnitude. PM2.5 and O3 are strongly correlated when the AOC is relatively high, but PM2.5 is independent of O3 under low-AOC (<6.6×10-5 min-1, typically in winter) conditions. This work reveals the dependence of PM2.5-O3 relationships on the AOC, suggesting that joint PM2.5 and O3 reduction could be realized at moderate to high AOC levels, especially in spring and autumn when the cooccurrence of high O3 and PM2.5 events is frequently observed.
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Affiliation(s)
- Momei Qin
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Anqi Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Jianjiong Mao
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Xun Li
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Li Sheng
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Jinjin Sun
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Jingyi Li
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China
| | - Xuesong Wang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing 100816, China
| | - Yuanhang Zhang
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; International Joint Laboratory for Regional Pollution Control, Ministry of Education, Beijing 100816, China; Beijing Innovation Center for Engineering Science and Advanced Technology, Peking University, Beijing 100871, China; CAS Center for Excellence in Regional Atmospheric Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Jianlin Hu
- Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Nanjing University of Information Science & Technology, Nanjing 210044, China.
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Wang R, Bei N, Wu J, Li X, Liu S, Yu J, Jiang Q, Tie X, Li G. Cropland nitrogen dioxide emissions and effects on the ozone pollution in the North China plain. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 294:118617. [PMID: 34863895 DOI: 10.1016/j.envpol.2021.118617] [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: 10/04/2021] [Revised: 11/25/2021] [Accepted: 11/30/2021] [Indexed: 06/13/2023]
Abstract
Soil nitrogen dioxide (NOX = NO2 + NO) emissions have been measured and estimated to be the second most significant contributor to the NOX burden following the fossil fuel combustion source globally. NOX emissions from croplands are subject to being underestimated or overlooked in air pollution simulations of regional atmospheric chemistry models. With constraints of ground and space observations of NO2, the WRF-Chem model is used to investigate the cropland NOX emission and its contribution to the near-surface ozone (O3) pollution in North China Plain (NCP) during a growing season as a case study. Model simulations have revealed that the cropland NOX emissions are underestimated by around 80% without constraints of satellite measured NO2 column densities. The biogenic NOX source is estimated to account for half of the anthropogenic NOX emissions in the NCP during the growing season. Additionally, the cropland NOX source contributes around 5.0% of the maximum daily average 8h O3 concentration and 27.7% of NO2 concentration in the NCP. Our results suggest the agriculture NOX emission exerts non-negligible impacts on the summertime air quality and needs to be considered when designing emission abatement strategies.
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Affiliation(s)
- Ruonan Wang
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Naifang Bei
- School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, Xi'an, 710049, China
| | - Jiarui Wu
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Xia Li
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Suixin Liu
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Jiaoyang Yu
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Qian Jiang
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Xuexi Tie
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China
| | - Guohui Li
- Key Lab of Aerosol Chemistry and Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, 710061, China; CAS Center for Excellence in Quaternary Science and Global Change, Xi'an, 710061, China.
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8
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Asibi AE, Yin W, Hu F, Fan Z, Gou Z, Yang H, Guo Y, Chai Q. Optimized nitrogen rate, plant density, and irrigation level reduced ammonia emission and nitrate leaching on maize farmland in the oasis area of China. PeerJ 2022; 10:e12762. [PMID: 35111400 PMCID: PMC8783566 DOI: 10.7717/peerj.12762] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Accepted: 12/17/2021] [Indexed: 01/11/2023] Open
Abstract
Nitrogen fertilizers play a key role in crop production to meet global food demand. Inappropriate application of nitrogen fertilizer coupled with poor irrigation and other crop management practices threaten agriculture and environmental sustainability. Over application of nitrogen fertilizer increases nitrogen gas emission and nitrate leaching. A field experiment was conducted in China's oasis irrigation area in 2018 and 2019 to determine which nitrogen rate, plant density, and irrigation level in sole maize (Zea mays L.) cropping system reduce ammonia emission and nitrate leaching. Three nitrogen rates of urea (46-0-0 of N-P2O5-K2O), at (N0 = 0 kg N ha-1, N1 = 270 kg N ha-1, and N2 = 360 kg N ha-1) were combined with three plant densities (D1 = 75,000 plants/ha-1, D2 = 97,500 plants/ha-1, and D3 = 120,000 plants/ha-1) with two irrigation levels (W1 = 5,250 m3/hm2 and W2 = 4,740 m3/hm2) using a randomized complete block design. The results showed that, both the main and interaction effects of nitrogen rate, plant density, and irrigation level reduced nitrate leaching (p < 0.05). In addition, irrigation level × nitrogen rate significantly (p < 0.05) reduced ammonia emission. Nitrate leaching and ammonia emission decreased with higher irrigation level and higher plant density. However, high nitrogen rates increased both nitrate leaching and ammonia emission. The study found lowest leaching (0.35 mg kg-1) occurring at the interaction of 270 kg N ha-1 × 120,000 plants/ha-1 × 4,740 m3/hm2, and higher plant density of 120,000 plants/ha-1 combined with 0 kg N ha-1 and irrigation level of 5,250 m3/hm2 recorded the lowest ammonia emission (0.001 kg N)-1. Overall, ammonia emission increased as days after planting increased while nitrate leaching decreased in deeper soil depths. These findings show that, though the contributory roles of days after planting, soil depth, amount of nitrogen fertilizer applied and year of cultivation cannot be undermined, it is possible to reduce nitrate leaching and ammonia emission through optimized nitrogen rate, plant density and regulated irrigation for agricultural and environmental sustainability.
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Affiliation(s)
- Aziiba Emmanuel Asibi
- State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, China
- College of Agronomy, Gansu Agricultural University, Lanzhou, China
- Council for Scientific and Industrial Research–Savanna Agricultural Research Institute, Bawku, Ghana
| | - Wen Yin
- State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, China
- College of Agronomy, Gansu Agricultural University, Lanzhou, China
| | - Falong Hu
- State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, China
- College of Agronomy, Gansu Agricultural University, Lanzhou, China
| | - Zhilong Fan
- State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, China
- College of Agronomy, Gansu Agricultural University, Lanzhou, China
| | - Zhiwen Gou
- State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, China
- College of Agronomy, Gansu Agricultural University, Lanzhou, China
| | - Hongwei Yang
- State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, China
- College of Agronomy, Gansu Agricultural University, Lanzhou, China
| | - Yao Guo
- State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, China
- College of Agronomy, Gansu Agricultural University, Lanzhou, China
| | - Qiang Chai
- State Key Laboratory of Aridland Crop Science, Gansu Agricultural University, Lanzhou, China
- College of Agronomy, Gansu Agricultural University, Lanzhou, China
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