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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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Yang X, Zhang G, Pan G, Fan G, Zhang H, Ge X, Du M. Significant contribution of carbonyls to atmospheric oxidation capacity (AOC) during the winter haze pollution over North China Plain. J Environ Sci (China) 2024; 139:377-388. [PMID: 38105063 DOI: 10.1016/j.jes.2023.06.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 06/01/2023] [Accepted: 06/01/2023] [Indexed: 12/19/2023]
Abstract
Atmospheric carbonyl compounds play significant roles in the cycling of radicals and have exhibited surprisingly high levels in winter that were well correlated to particulate matter, for which the reason have not been clearly elucidated. Here we measured carbonyl compounds and other trace gasses together with PM2.5 over urban Jinan in North China Plain during the winter. Markedly higher carbonyl concentrations (average: 14.63 ± 4.21 ppbv) were found during wintertime haze pollution, about one to three-times relative to those on non-haze days, with slight difference in chemical composition except formaldehyde (HCHO). HCHO (3.68 ppbv), acetone (3.17 ppbv), and acetaldehyde (CH3CHO) (2.83 ppbv) were the three most abundant species, accounting for ∼75% of the total carbonylson both haze and non-haze days. Results from observational-based model (OBM) with atmospheric oxidation capacity (AOC) indicated that AOC significantly increased with the increasing carbonyls during the winter haze events. Carbonyl photolysis have supplied key oxidants such as RO2 and HO2, and thereby enhancing the formation of fine particles and secondary organic aerosols, elucidating the observed haze-carbonyls inter-correlation. Diurnal variation with carbonyls exhibiting peak values at early-noon and night highlighted the combined contribution of both secondary formation and primary diesel-fuel sources. 1-butene was further confirmed to be the major precursor for HCHO. This study confirms the great contribution of carbonyls to AOC, and also suggests that reducing the emissions of carbonyls would be an effective way to mitigate haze pollution in urban area of the NCP region.
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Affiliation(s)
- Xue Yang
- School 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.
| | - Guang Pan
- Shandong Jinan Ecological Environment Monitoring Center, Ji'nan 250101, China
| | - Guolan Fan
- Shandong Jinan Ecological Environment Monitoring Center, Ji'nan 250101, China
| | - Houyong Zhang
- Shandong Jinan Ecological Environment Monitoring Center, Ji'nan 250101, China
| | - Xuan Ge
- Shandong Jinan Ecological Environment Monitoring Center, Ji'nan 250101, China
| | - Mingyue Du
- Shandong Jinan Ecological Environment Monitoring Center, Ji'nan 250101, China
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Cheng Y, Chen L, Wu H, Liu J, Ren J, Zhang F. Wintertime fine aerosol particles composition and its evolution in two megacities of southern and northern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 914:169778. [PMID: 38176561 DOI: 10.1016/j.scitotenv.2023.169778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Revised: 12/28/2023] [Accepted: 12/28/2023] [Indexed: 01/06/2024]
Abstract
Study on fine aerosols composition can help understand the particles formation and is crucial for improving the accuracy of model simulations. Based on field data measured by a Q-ACSM (Quadrupole-Aerosol Chemical Speciation Monitor), we have comprehensively compared the characteristics, evolution, and potential formation mechanisms of the components in NR-PM2.5 during wintertime at two megacities (Beijing and Guangzhou) of southern and northern China. We show that as PM pollution intensifies, the mass fraction of the primary aerosols (e.g., COA, HOA) in PM2.5 in Guangzhou increased, along with a slight decline in proportion of both the secondary organic (SOA) and inorganic (SIA) aerosols; In contrast, in Beijing, the proportion of the SIA ramped up from 28 % to 53 % with the pollution evolution; and the fraction of SOA in total OA also increased due to a substantial increment in the proportion of MO-OOA (from 29 % to 48 %), suggesting a significance of the secondary processes in worsening aerosols pollution in Beijing. Our further analysis demonstrates a leading role of aqueous pathway in the secondary formation of aerosols at the Beijing site, presenting an exponential rising of SIA and SOA with the relative humidity (RH) increase. Compared to Beijing, however, we find that the photochemical oxidation other than aqueous process in Guangzhou plays a more critical role in those secondary aerosols formation. Combined with the Hysplit trajectory model, we identify the high humid conditions in Guangzhou are typically affected by clean marine air masses, explaining the slower response of secondary components to the RH changes. Moreover, the particles in Guangzhou were observed less hygroscopic that is adverse to the aerosol aqueous chemistry. The results provide basis for the precise control of PM pollution in different regions across China and would be helpful in improving model simulations.
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Affiliation(s)
- Yiling Cheng
- School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China
| | - Lu Chen
- School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China; Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
| | - Hao Wu
- School of Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, China
| | - Jieyao Liu
- School of Geographical Sciences, Hebei Normal University, Shijiazhuang 050024, China
| | - Jingye Ren
- Xi'an Institute for Innovative Earth Environment Research, Xi'an 710061, China
| | - Fang Zhang
- School of Civil and Environmental Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
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Wei J, Ye Y, Yu H. Manufacturing agglomeration, urban form, and haze pollution. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:18921-18936. [PMID: 36217053 DOI: 10.1007/s11356-022-23191-6] [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: 07/15/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Abstract
Manufacturing agglomeration promotes rapid economic development while also causing severe environmental pollution. This paper investigates the impact and mechanism of manufacturing agglomeration on haze pollution from the Chinese city level. Furthermore, we discuss the moderating effect and threshold effect of the three urban forms of urban external shape complexity, urban compactness, and urban fragmentation on the relationship between the two. The result shows the following: (1) The aggregation of the manufacturing industry presents an inverted U-shaped characteristic of promoting first and then inhibiting haze pollution in China's overall, eastern and central regions. (2) The complexity of the city's external shape and the city's fragmentation has a positive moderating effect on the relationship between manufacturing agglomeration and haze pollution. And urban fragmentation shows a negative moderating effect on the relationship between the two when the level of manufacturing agglomeration is on the right side of the inverted U-shaped curve. (3) The urban form shows a significant double threshold characteristic for haze pollution, increasing the complexity of the city's external shape and the city's fragmentation. The agglomeration of manufacturing shows the characteristics of first inhibiting and then promoting haze pollution. As urban compactness increases, the inhibitory effect of manufacturing agglomeration on haze pollution increases.
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Affiliation(s)
- Jishi Wei
- School of Urban and Environmental Sciences, Central China Normal University, Wuhan, 430072, China
- Department of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, CO, 80523, USA
| | - Yunling Ye
- Institute of Industrial Economics, Chinese Academy of Social Sciences, Beijing, 100006, China.
| | - Haichao Yu
- National School of Development, Peking University, Beijing, 100871, China
- Institute of New Structural Economics, Peking University, Beijing, 100871, China
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Li L, Liu M, Qi Y, Zhang G, Yu R. Spatiotemporal variations and relationships of absorbing aerosol-radiation-gross primary productivity over China. ENVIRONMENTAL MONITORING AND ASSESSMENT 2022; 195:169. [PMID: 36451005 DOI: 10.1007/s10661-022-10775-5] [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: 07/20/2022] [Accepted: 11/21/2022] [Indexed: 06/17/2023]
Abstract
High-load carbonaceous and dust aerosols can significantly reduce direct radiation (DIRR), which would affect photosynthesis in terrestrial ecosystems, thereby further affecting the productivity of vegetation. Based on this, a variety of remote sensing data were used to study the spatiotemporal distributions and changing tendencies of the absorbing aerosols, CO, DIRR, and gross primary productivity (GPP) in China during 2005-2019; then, the relationships were analyzed between different types of absorbing aerosols and DIRR as well as GPP. The results showed that the annual mean absorbing aerosols index (AAI) in China during 2005-2019 was 0.39, with a slow growth rate of 0.02 year-1, and the emission of CO showed a decreasing trend with each passing year, especially in North China Plain and Sichuan Basin. Carbonaceous and dust aerosols were predominantly bounded by Hu line. The east of Hu line was the dominant area of carbonaceous aerosols, and the west of Hu line was the topographical region of dust aerosols. Near the Hu line was the dominant area of carbonaceous-dust aerosols. However, the Karamay-Urumqi-Hami area and Northeast China Plain were exceptional. During the vegetation growing season, different types of absorbing aerosols significantly negatively affected GPP. From a perspective of regional scale variation pattern, the negative effect of absorbing aerosols on vegetation productivity was the most significant in Northeast China; from the perspective of the effects of different vegetation types, the negative effect of absorbing aerosols on grasslands was greater than that of woodlands; from the perspective of the composition characteristics of aerosols, the negative effect of dust aerosols on GPP was greater than that of carbonaceous aerosols.
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Affiliation(s)
- Liang Li
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
| | - Minxia Liu
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China.
| | - Yuhan Qi
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
| | - Guojuan Zhang
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
| | - Ruixin Yu
- College of Geography and Environmental Science, Northwest Normal University, Lanzhou, China
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