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Wen L, Gao J, Xue L, Li Y, Gao R, Tang W, Wang J, Du X, Zhang Y, Wang X, Zhu Y, Chai F, Hu J, Tang G, Chen J, Wang T, Ding A, Herrmann H, Mellouki A, Dong C, Li H, Guo Z, Zhao Y. Long-Term Changes in Summertime Nitrate Chemistry in the Top Boundary Layer of North China. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2025. [PMID: 40433734 DOI: 10.1021/acs.est.5c03079] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2025]
Abstract
Reducing fine particulate nitrate (pNO3-) is critical for further mitigating PM2.5 pollution in China. However, previous NOx emission reductions have failed to achieve the expected pNO3- decreases. The present study reports that pNO3- concentration in summer increased by 55.8% and 5.6% at North China Peak (1534 m a.s.l.) from 2007 to 2014 and 2014 to 2021, respectively. pNO3- formation enhancement was caused mainly by decreased aerosol acidity due to notable SO42- reduction. pNO3- formation changed from a process limited by NH4+ to one colimited by NO2 and NH4+, suggesting an increased effect of NOx reduction on decreasing pNO3- production. Vertical transport represents a significant source of pNO3- near the surface, illustrating a percentage as high as 98% recorded during daytime hours and a proportion of 34% in the dark over North China in the simulation scenario during summer 2020. The scheme to reduce NOx emissions by 10% from 2020 to 2025 is predicted to slowly decrease aloft pNO3- over North China, which may facilitate further reductions in pNO3- concentrations near the surface via vertical transport. The inflection of nitrate chemistry in the top boundary layer suggests an opportunity to accelerate PM2.5 reduction under projected further emission reductions.
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Affiliation(s)
- Liang Wen
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jian Gao
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Likun Xue
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Yang Li
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Rui Gao
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Wei Tang
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jiaqi Wang
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Xiaohui Du
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yujie Zhang
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Xinfeng Wang
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Yujiao Zhu
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Fahe Chai
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jingnan Hu
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Guigang Tang
- China National Environmental Monitoring Centre, Beijing 100012, China
| | - Jianmin Chen
- Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, China
| | - Tao Wang
- Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Kowloon, Hong Kong 999077, China
| | - Aijun Ding
- Joint International Research Laboratory of Atmospheric and Earth System Science, School of Atmospheric Sciences, Nanjing University, Nanjing, Jiangsu 210033, China
| | - Hartmut Herrmann
- School of Environmental Science and Engineering, Shandong University, Qingdao, Shandong 266237, China
- Atmospheric Chemistry Department (ACD), Leibniz Institute for Tropospheric Research (TROPOS), Permoserstraße 15, Leipzig 04318, Germany
| | - Abdelwahid Mellouki
- Institut de Combustion Aérothermique, Réactivité et Environnement, Centre National de la Recherche Scientifique (ICARE-CNRS), Observatoire des Sciences de l'Univers en région Centre, CS 50060, Orléans 45071 cedex02, France
- College of Sustainable Agriculture and Environmental Sciences, Mohammed VI Polytechnic University, Ben Guerir, Rehamna 43150, Morocco
| | - Can Dong
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Haisheng Li
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Zhaoxin Guo
- Taishan National Reference Climatological Station, Tai'an, Shandong 271000, China
| | - Yong Zhao
- Taishan National Reference Climatological Station, Tai'an, Shandong 271000, China
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Xiao H, Xiao HW, Xu Y, Zheng NJ, Xiao HY. Combustion-driven inorganic nitrogen in PM 2.5 from a city in central China has the potential to enhance the nitrogen load of North China. JOURNAL OF HAZARDOUS MATERIALS 2025; 483:136620. [PMID: 39603129 DOI: 10.1016/j.jhazmat.2024.136620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Revised: 11/13/2024] [Accepted: 11/20/2024] [Indexed: 11/29/2024]
Abstract
Inorganic nitrogen (NH4+ and NO3-) is a significant component of PM2.5, influencing not only regional ecological systems but also on other regions through the migration of air masses. However, few studies have simultaneously investigated the sources of NH4+ and NO3-, and their potential transport pathways remain poorly understood. Here, daily PM2.5 samples were collected in Jiaozuo, a key city in the air pollution transmission channel to the north China, from 1 September to 5 December, 2017. Major water-soluble inorganic ions and the isotope compositions of NH4+ and NO3- in PM2.5 were analyzed. The results indicated substantial amounts of inorganic nitrogen in PM2.5, particularly at high PM2.5 concentrations. The Bayesian isotope mixing model (MixSIAR) results revealed that combustion sources contributed 79.5 % to NO3- and 51.6 % to NH4+. Moreover, the medium to high potential source regions for combustion-related NH3 is basically consistent with combustion-related NOx. Therefore, stringent regulation of combustion emissions has the potential to mitigate inorganic nitrogen pollution in PM2.5 in Jiaozuo. The results of the forward trajectory cluster and PSCF (potential source contribution function) analysis revealed that a significant amount of combustion-driven inorganic nitrogen in PM2.5 from Jiaozuo will transport to downwind area, particularly north China. Combustion-driven inorganic nitrogen levels carried by these air masses exceeded half the average value for cities in North China during the same period. Our study highlights that combustion emissions dominate the inorganic nitrogen sources in PM2.5 and that substantial amounts of combustion-driven inorganic nitrogen can be transported from Jiaozuo to North China, potentially enhancing the nitrogen load in those areas.
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Affiliation(s)
- Hao Xiao
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Hong-Wei 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
| | - Neng-Jian Zheng
- School of Geographical Sciences, China West Normal University, Nanchong 637009, China; Sichuan Provincial Engineering Laboratory of Monitoring and Control for Soil Erosion in Dry Valleys, China West Normal University, Nanchong 637009, China.
| | - Hua-Yun Xiao
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China; Shanghai Yangtze River Delta Eco-Environmental Change and Management Observation and Research Station, Ministry of Science and Technology, Ministry of Education, Shanghai 200240, China.
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Xiao H, Li Q, Ding S, Dai W, Cui G, Li X. Refining δ 15N isotopic fingerprints of local NO x for accurate source identification of nitrate in PM 2.5. ENVIRONMENT INTERNATIONAL 2025; 196:109317. [PMID: 39923488 DOI: 10.1016/j.envint.2025.109317] [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: 10/21/2024] [Revised: 01/19/2025] [Accepted: 02/03/2025] [Indexed: 02/11/2025]
Abstract
Stable nitrogen isotopic composition (δ15N) has proven to be a valuable tool for identifying sources of nitrates (NO3-) in PM2.5. However, the absence of a systematic study on the δ15N values of domestic NOx sources hinders accurate identification of NO3- sources in China. Here, we systematically determined and refined δ15N values for six categories of NOx sources in Tianjin using an active sampling method. Moreover, the δ15N values of NO3- in PM2.5 were measured during pre-heating, mid-heating and late-heating periods, which are the most heavily polluted in Tianjin. The results indicate that the isotopic fingerprints of the six types of NOx sources in Tianjin are indicative of the regional characteristics of China, particularly the North China Plain. The Bayesian isotope mixing (MixSIAR) model demonstrated that coal combustion, biomass burning, and vehicle exhaust collectively contributed more than 60 %, dominating the sources of NO3- during sampling periods in Tianjin. However, failure to consider the isotopic signatures of local NOx sources could result in an overestimation of the contribution from natural gas combustion. Additionally, the absence of industrial sources, an uncharacterized source in previous studies, may directly result in the contribution fraction of other sources being overestimated by the model more than 10 %. Notably, as the number of sources input to the model increased, the contribution of various NOx sources was becoming more stable, and the inter-influence between various sources significantly reduced. This study demonstrated that the refined isotopic fingerprint in China could more effectively distinguish source of NO3-, thereby providing valuable insights for controlling NO3- pollution.
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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
| | - Qinkai Li
- Jiangxi Key Laboratory of Environmental Pollution Control, Jiangxi Academy of Eco-Environmental Sciences & Planning, Nanchang 330039, China
| | - Shiyuan Ding
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Wenjing Dai
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China
| | - Gaoyang Cui
- The College of Geography and Environmental Science, Henan University, Kaifeng 475004, China
| | - Xiaodong Li
- Institute of Surface-Earth System Science, School of Earth System Science, Tianjin University, Tianjin 300072, China.
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Liu Y, Huang RJ, Lin C, Yuan W, Li YJ, Zhong H, Yang L, Wang T, Huang W, Xu W, Huang DD, Huang C. Nitrate-Photolysis Shortens the Lifetimes of Brown Carbon Tracers from Biomass Burning. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2025; 59:640-649. [PMID: 39729369 DOI: 10.1021/acs.est.4c06123] [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: 12/29/2024]
Abstract
Biomass burning is an important source of brown carbon (BrC) aerosols, which influence climate by affecting the Earth's radiative balance. However, the transformation pathways of BrC chromophores, especially in the presence of photochemically active species, such as nitrate, are not well understood. In this study, the nitrate-mediated aqueous-phase photooxidation of three typical BrC chromophores from biomass burning was investigated, including 4-nitrocatechol, 3-nitrosalicylic acid, and 3,4-dinitrophenol. Variations in nitrate concentrations, pH, and temperatures were systematically examined to assess their impacts on the apparent photolysis rates of these BrC chromophores. The results show that increasing nitrate concentrations significantly enhances apparent photolysis rates to 3-3.5 times compared to nitrate-free conditions. Also, a temperature rise from 0 to 30 °C increases apparent photolysis rates by a factor of 1.3-2.5 for these chromophores. However, the effect of pH varies among these chromophores, depending on the substituents and their positions on the benzene ring. High-resolution mass spectrometric analysis suggests that the photooxidation of these chromophores initiates with the addition of nitro and/or hydroxyl groups to the benzene ring, followed by a ring-opening reaction and the formation of smaller, highly oxygenated molecules including formic acid, glyoxylic acid, malonic acid, and nitropropanoic acid. This study highlights the key role of nitrate in the aqueous-phase photooxidation of BrC, altering the aging pathways and shortening the atmospheric lifetimes of BrC. These results are of particular importance for a better understanding of BrC aging and its radiative forcing, given the increase of the nitrate mass fraction in aerosols of China in recent years.
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Affiliation(s)
- Yi Liu
- State Key Laboratory of Loess and Quaternary Geology, Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Ru-Jin Huang
- State Key Laboratory of Loess and Quaternary Geology, Center for Excellence in Quaternary Science and Global Change, 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
| | - Chunshui Lin
- State Key Laboratory of Loess and Quaternary Geology, Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Wei Yuan
- State Key Laboratory of Loess and Quaternary Geology, Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Yong Jie Li
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Taipa, Macau SAR 999078, China
| | - Haobin Zhong
- School of Advanced Materials Engineering, Jiaxing Nanhu University, Jiaxing 314001, China
| | - Lu Yang
- State Key Laboratory of Loess and Quaternary Geology, Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Ting Wang
- State Key Laboratory of Loess and Quaternary Geology, Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Wei Huang
- State Key Laboratory of Loess and Quaternary Geology, Center for Excellence in Quaternary Science and Global Change, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
| | - Wei Xu
- Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, 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
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Wen ZN, Miao QY, Chen JR, Wu SP, He LX, Jiang BQ, Liu YJ, Huang Z. Heavy metal emissions from on-road vehicles in Xia-Zhang-Quan metropolitan area in southeastern China from 2015 to 2060: impact of vehicle electrification. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2025; 32:298-313. [PMID: 39681784 DOI: 10.1007/s11356-024-35772-8] [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: 07/01/2024] [Accepted: 12/05/2024] [Indexed: 12/18/2024]
Abstract
Vehicle electrification is an important means of reducing urban air pollution. However, vehicle electrification does not necessarily reduce particulate matter (PM2.5 and PM10) and heavy metals (HM) due to the increase in non-exhaust emissions. In this study, we established the emission inventories of PM2.5, PM10, and their associated heavy metals (PM2.5-HM and PM10-HM) from the on-road vehicles in the Xiamen-Zhangzhou-Quanzhou metropolitan area in southeastern China between 2015 and 2060. In the base year 2021, brake wear emissions account for 66.6% of PM2.5-HM and 76.9% of PM10-HM, much higher than the contributions of exhaust emissions to PM2.5-HM (12.4%) and PM10-HM (6.2%). Light-duty passenger vehicles, heavy-duty trucks, and light-duty trucks are the three main contributors to PM and HM. HM emissions have a high emission density in urban areas. In the business-as-usual (BAU) scenario, HM emissions continue to increase from 2021 to 2060 due to the combined effects of the stricter emission standards and the growth of vehicle population, while the health risk of HM shows an initial decrease and then an increasing trend. Compared with BAU, moderate and aggressive electrification scenarios show a significant reduction in PM2.5-HM emissions between 2030 and 2060, but not in PM10-HM emissions. Further increases in vehicle electrification will bring forward the peak of PM2.5-HM emissions, with the potential to reduce adverse health effects. In the process of vehicle electrification, the reduction of heavy metal emissions from the braking system should be prioritized in order to effectively reduce traffic pollution.
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Affiliation(s)
- Zhe-Nan Wen
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Xiamen University, Xiamen, 361102, China
- Center for Marine Environmental Chemistry and Toxicology, College of Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Qi-Yu Miao
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Xiamen University, Xiamen, 361102, China
- Center for Marine Environmental Chemistry and Toxicology, College of Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Jiang-Ru Chen
- Center for Marine Environmental Chemistry and Toxicology, College of Environment and Ecology, Xiamen University, Xiamen, 361102, China
| | - Shui-Ping Wu
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Xiamen University, Xiamen, 361102, China.
- Center for Marine Environmental Chemistry and Toxicology, College of Environment and Ecology, Xiamen University, Xiamen, 361102, China.
| | - Li-Xiong He
- Fujian Provincial Academy of Environmental Science, Fuzhou, 350013, China
| | - Bing-Qi Jiang
- Fujian Provincial Academy of Environmental Science, Fuzhou, 350013, China
| | - Yi-Jing Liu
- Fujian Provincial Academy of Environmental Science, Fuzhou, 350013, China
| | - Zhi Huang
- Xiamen Research Academy of Environmental Science, Xiamen, 361021, China
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Fan R, Ma Y, Cao W, Jin S, Liu B, Wang W, Li H, Gong W. New insights into black carbon light absorption enhancement: A comprehensive analysis of two differential behaviors. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 355:124175. [PMID: 38761879 DOI: 10.1016/j.envpol.2024.124175] [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: 03/19/2024] [Revised: 04/28/2024] [Accepted: 05/15/2024] [Indexed: 05/20/2024]
Abstract
High uncertainty in optical properties of black carbon (BC) involving heterogeneous chemistry has recently attracted increasing attention in the field of atmospheric climatology. To fill the gap in BC optical knowledge so as to estimate more accurate climate effects and serve the response to global warming, it is beneficial to conduct site-level studies on BC light absorption enhancement (Eabs) characteristics. Real-time surface gas and particulate pollutant observations during the summer and winter over Wuhan were utilized for the analysis of Eabs simulated by minimum R squared (MRS), considering two distinct atmospheric conditions (2015 and 2017). In general, differences in aerosol emissions led to Eabs differential behaviors. The summer average of Eabs (1.92 ± 0.55) in 2015 was higher than the winter average (1.27 ± 0.42), while the average (1.11 ± 0.20) in 2017 summer was lower than that (1.67 ± 0.69) in winter. Eabs and RBC (representing the mass ratio of non-refractory constituents to elemental carbon) constraints suggest that Eabs increased with the increase in RBC under the ambient condition enriched by secondary inorganic aerosol (SIA), with a maximum growth rate of 70.6% in 2015 summer. However, Eabs demonstrated a negative trend against RBC in 2017 winter due to the more complicated mixing state. The result arose from the opposite impact of hygroscopic SIA and absorbing OC/irregular distributed coatings on amplifying the light absorbency of BC. Furthermore, sensitivity analysis revealed a robust positive correlation (R > 0.9) between aerosol chemical compositions (including sulfate, nitrate, ammonium and secondary organic carbon), which could be significantly perturbed by only a small fraction of absorbing materials or restructuring BC through gaps filling. The above findings not only deepen the understanding of BC, but also provide useful information for the scientific decision-making in government to mitigate particulate pollution and obtain more precise BC radiative forcing.
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Affiliation(s)
- Ruonan Fan
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China
| | - Yingying Ma
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China; Hubei Luojia Laboratory, Wuhan, 430079, China.
| | - Wenxiang Cao
- Eco-Environmental Monitoring Centre of Hubei Province, Wuhan, 430072, China
| | - Shikuan Jin
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China
| | - Boming Liu
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China
| | - Weiyan Wang
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China
| | - Hui Li
- School of Electronic Information, Wuhan University, Wuhan, 430079, China
| | - Wei Gong
- School of Electronic Information, Wuhan University, Wuhan, 430079, China
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Su Y, Long Y, Yao X, Chen C, Sun W, Zhao R, Zhang J. Microscopic Characterization of Individual Aerosol Particles in a Typical Industrial City and Its Surrounding Rural Areas in China. TOXICS 2024; 12:525. [PMID: 39058177 PMCID: PMC11281221 DOI: 10.3390/toxics12070525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 07/18/2024] [Accepted: 07/20/2024] [Indexed: 07/28/2024]
Abstract
Transmission electron microscopy was used to analyze individual aerosol particles collected in Lanzhou (urban site) and its surrounding areas (rural site) in early 2023. The results revealed that from the pre-Spring Festival period to the Spring Festival period, the main pollutants at the urban site decreased significantly, while the PM2.5 and SO2 concentrations increased at the rural site. During the entire sampling period, the main particles at the urban site were organic matter (OM), secondary inorganic aerosols (SIA), and OM-SIA particles, while those at the rural site were OM, SIA, and soot particles. The degree of external mixing of single particles in both sites increased from the pre-Spring Festival period to the Spring Festival period. The proportion of the OM particles increased by 11% at the urban site, and the proportion of SIA particles increased by 24% at the rural site. During the Spring Festival, the aging of the soot particles was enhanced at the urban site and weakened at the rural site. At the urban site, the SIA particle size was more strongly correlated with the thickness of the OM coating during the pre-Spring Festival period, while the correlation was stronger at the rural site during the Spring Festival.
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Affiliation(s)
| | | | | | | | | | | | - Junke Zhang
- School of Environmental Science and Engineering, Southwest Jiaotong University, Chengdu 611756, China; (Y.S.)
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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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Zhang J, Li J, Su Y, Chen C, Chen L, Huang X, Wang F, Huang Y, Wang G. Interannual evolution of the chemical composition, sources and processes of PM 2.5 in Chengdu, China: Insights from observations in four winters. J Environ Sci (China) 2024; 138:32-45. [PMID: 38135399 DOI: 10.1016/j.jes.2023.02.055] [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: 10/21/2022] [Revised: 02/25/2023] [Accepted: 02/27/2023] [Indexed: 12/24/2023]
Abstract
The air quality in China has improved significantly in the last decade and, correspondingly, the characteristics of PM2.5 have also changed. We studied the interannual variation of PM2.5 in Chengdu, one of the most heavily polluted megacities in southwest China, during the most polluted season (winter). Our results show that the mass concentrations of PM2.5 decreased significantly year-by-year, from 195.8 ± 91.0 µg/m3 in winter 2016 to 96.1 ± 39.3 µg/m3 in winter 2020. The mass concentrations of organic matter (OM), SO42-, NH4+ and NO3- decreased by 49.6%, 57.1%, 49.7% and 28.7%, respectively. The differential reduction in the concentrations of chemical components increased the contributions from secondary organic carbon and NO3- and there was a larger contribution from mobile sources. The contribution of OM and NO3- not only increased with increasing levels of pollution, but also increased year-by-year at the same level of pollution. Four sources of PM2.5 were identified: combustion sources, vehicular emissions, dust and secondary aerosols. Secondary aerosols made the highest contribution and increased year-by-year, from 40.6% in winter 2016 to 46.3% in winter 2020. By contrast, the contribution from combustion sources decreased from 14.4% to 8.7%. Our results show the effectiveness of earlier pollution reduction policies and emphasizes that priority should be given to key pollutants (e.g., OM and NO3-) and sources (secondary aerosols and vehicular emissions) in future policies for the reduction of pollution in Chengdu during the winter months.
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Affiliation(s)
- Junke Zhang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
| | - Jiaqi Li
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
| | - Yunfei Su
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
| | - Chunying Chen
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
| | - Luyao Chen
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
| | - Xiaojuan Huang
- Department of Environmental Science & Engineering, Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Fudan University, Shanghai 200438, China.
| | - Fangzheng Wang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
| | - Yawen Huang
- Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
| | - Gehui Wang
- Key Lab of Geographic Information Science of the Ministry of Education, School of Geographic Sciences, East China Normal University, Shanghai 200241, China
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10
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Li J, Chen T, Zhang H, Jia Y, Chu Y, Yan Y, Zhang H, Ren Y, Li H, Hu J, Wang W, Chu B, Ge M, He H. Nonlinear effect of NO x concentration decrease on secondary aerosol formation in the Beijing-Tianjin-Hebei region: Evidence from smog chamber experiments and field observations. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168333. [PMID: 37952675 DOI: 10.1016/j.scitotenv.2023.168333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 10/17/2023] [Accepted: 11/03/2023] [Indexed: 11/14/2023]
Abstract
During the COVID-19 lockdown in the Beijing-Tianjin-Hebei (BTH) region in China, large decrease in nitrogen oxides (NOx) emissions, especially in the transportation sector, could not avoid the occurrence of heavy PM2.5 pollution where nitrate dominated the PM2.5 mass increase. To experimentally reveal the effect of NOx control on the formation of PM2.5 secondary components (nitrate in particular), photochemical simulation experiments of mixed volatile organic compounds (VOCs) under various NOx concentrations with smog chamber were performed. The proportions of gaseous precursors in the control experiment were comparable to ambient conditions typically observed in the BTH region. Under relatively constant VOCs concentrations, when the initial NOx concentration was reduced to 40% of that in the control experiment (labelled as NOx,0), the particle mass concentration was not significantly reduced, but when the initial NOx concentration decreased to 20 % of NOx,0, the mass concentration of particles as well as nitrate and organics showed a sudden decrease. A "critical point" where the mass concentration of secondary aerosol started to decline as the initial NOx concentration decreased, located at 0.2-0.4 NOx,0 (or 0.18-0.44 NO2,0) in smog chamber experiments. The oxidation capacity and solar radiation intensity played key roles in the mass concentration and compositions of the formed particles. In field observations in the BTH region in the autumn and winter seasons, the "critical point" exist at 0.15-0.34 NO2,0, which coincided mostly with the laboratory simulation results. Our results suggest that a reduction of NOx emission by >60% could lead to significant reductions of secondary aerosol formation, which can be an effective way to further alleviate PM2.5 pollution in the BTH region.
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Affiliation(s)
- Junling Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Tianzeng Chen
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Hao Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yongcheng Jia
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Yangxi Chu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Yongxin Yan
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Haijie Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yanqin Ren
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Hong Li
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jingnan Hu
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Weigang Wang
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Beijing National Laboratory for Molecular Sciences (BNLMS), CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Biwu Chu
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Maofa Ge
- State Key Laboratory for Structural Chemistry of Unstable and Stable Species, Beijing National Laboratory for Molecular Sciences (BNLMS), CAS Research/Education Center for Excellence in Molecular Sciences, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Hong He
- State Key Joint Laboratory of Environment Simulation and Pollution Control, Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
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11
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Ye Q, Yao M, Wang W, Li Z, Li C, Wang S, Xiao H, Zhao Y. Multiphase interactions between sulfur dioxide and secondary organic aerosol from the photooxidation of toluene: Reactivity and sulfate formation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168736. [PMID: 37996034 DOI: 10.1016/j.scitotenv.2023.168736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2023] [Revised: 11/06/2023] [Accepted: 11/19/2023] [Indexed: 11/25/2023]
Abstract
There is growing evidence that the interactions between sulfur dioxide (SO2) and organic peroxides (POs) in aerosol and clouds play an important role in atmospheric sulfate formation and aerosol aging, yet the reactivity of POs arising from anthropogenic precursors toward SO2 remains unknown. In this study, we investigate the multiphase reactions of SO2 with secondary organic aerosol (SOA) formed from the photooxidation of toluene, a major type of anthropogenic SOA in the atmosphere. The reactive uptake coefficient of SO2 on toluene SOA was determined to be on the order of 10-4, depending strikingly on aerosol water content. POs contribute significantly to the multiphase reactivity of toluene SOA, but they can only explain a portion of the measured SO2 uptake, suggesting the presence of other reactive species in SOA that also contribute to the particle reactivity toward SO2. The second-order reaction rate constant (kII) between S(IV) and toluene-derived POs was estimated to be in the range of the kII values previously reported for commercially available POs (e.g., 2-butanone peroxide and 2-tert-butyl hydroperoxide) and the smallest (C1-C2) and biogenic POs. In addition, unlike commercial POs that can efficiently convert S(IV) into both inorganic sulfate and organosulfates, toluene-derived POs appear to mainly oxidize S(IV) to inorganic sulfate. Our study reveals the multiphase reactivity of typical anthropogenic SOA and POs toward SO2 and will help to develop a better understanding of the formation and evolution of atmospheric secondary aerosol.
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Affiliation(s)
- Qing Ye
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Min Yao
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; School of Environmental & Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
| | - Wei Wang
- 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
| | - Chenxi Li
- School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Shunyao Wang
- School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, China
| | - Huayun Xiao
- 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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12
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Wen L, Xue L, Dong C, Wang X, Chen T, Jiang Y, Gu R, Zheng P, Li H, Shan Y, Zhu Y, Zhao Y, Yin X, Liu H, Gao J, Wu Z, Wang T, Herrmann H, Wang W. Reduced atmospheric sulfate enhances fine particulate nitrate formation in eastern China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 898:165303. [PMID: 37419351 DOI: 10.1016/j.scitotenv.2023.165303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/01/2023] [Accepted: 07/01/2023] [Indexed: 07/09/2023]
Abstract
Nitrate (NO3-) is a major component of atmospheric fine particles. Recent studies in eastern China have shown the increasing trend of NO3- in contrast to the ongoing control of nitrogen oxide (NOx). Here, we elucidate the effects of reduced sulfur dioxide (SO2) on the enhancement of NO3- formation based on field measurements at the summit of Mt. Tai (1534 m a.s.l.) and present detailed modelling analyses. From 2007 to 2018, the measured springtime concentrations of various primary pollutants and fine sulfate (SO42-) decreased sharply (-16.4 % to -89.7 %), whereas fine NO3- concentration increased by 22.8 %. The elevated NO3- levels cannot be explained by the changes in meteorological conditions or other related parameters but were primarily attributed to the considerable reduction in SO42- concentrations (-73.4 %). Results from a multi-phase chemical box model indicated that the reduced SO42- levels decreased the aerosol acidity and prompted the partitioning of HNO3 into the aerosol phase. WRF-Chem model analyses suggest that such a negative effect is a regional phenomenon throughout the planetary boundary layer over eastern China in spring. This study provides new insights into the worsening situation of NO3- aerosol pollution and has important implications for controlling haze pollution in China.
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Affiliation(s)
- Liang Wen
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Likun Xue
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China.
| | - Can Dong
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Xinfeng Wang
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Tianshu Chen
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Ying Jiang
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Rongrong Gu
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Penggang Zheng
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Hongyong Li
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Ye Shan
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Yujiao Zhu
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
| | - Yong Zhao
- Taishan National Reference Climatological Station, Tai'an, Shandong 271000, China
| | - Xiangkun Yin
- Taishan National Reference Climatological Station, Tai'an, Shandong 271000, China
| | - Hengde Liu
- Taishan National Reference Climatological Station, Tai'an, Shandong 271000, China
| | - Jian Gao
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Zhijun Wu
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
| | - Tao Wang
- Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, 99907, Hong Kong
| | - Hartmut Herrmann
- Atmospheric Chemistry Department (ACD), Leibniz Institute for Tropospheric Research (TROPOS), Permoserstraße 15, Leipzig 04318, Germany; School of Environmental Science and Engineering, Shandong University, Qingdao, Shandong 266237, China
| | - Wenxing Wang
- Environment Research Institute, Shandong University, Qingdao, Shandong 266237, China
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13
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Liu Y. The role of OFDI in home-country pollution: insights from LMDI and 3SLS approaches. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:68636-68654. [PMID: 37126183 PMCID: PMC10150693 DOI: 10.1007/s11356-023-27301-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 04/25/2023] [Indexed: 05/04/2023]
Abstract
Under the global climate crisis, harnessing investment for sustainable development is a practical and effective measure for international society. Based on the logarithmic mean Divisia index (LMDI) decomposition and three-stage least squares (3SLS) structural approaches, this study explores the home-country pollution reduction effect of Chinese OFDI activities using the city-level panel data from 2007 to 2019. The findings of this study indicate that (1) China has made a remarkable achievement in PM2.5 pollution reduction and governance, especially from the year 2012. (2) The OFDI activities can significantly decrease the home-country PM2.5 pollution. With every 1% increase in OFDI flows, the overall pollution level will decrease by 0.76%. (3) Compared with the scale mechanism, the technology and composition mechanism effects of OFDI flows are more evident in addressing the home-country PM2.5 pollution. With several related policy implications, this study may fill the lacuna of how to play the role of OFDI activities in the home country, thus promoting sustainable development in the next stage.
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Affiliation(s)
- Yishuang Liu
- School of Economics and Management, Wuhan University, Wuhan, Hubei, China.
- Institute for International Studies, Wuhan University, Hubei, Wuhan, China.
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14
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Zhu T, Tang M, Gao M, Bi X, Cao J, Che H, Chen J, Ding A, Fu P, Gao J, Gao Y, Ge M, Ge X, Han Z, He H, Huang RJ, Huang X, Liao H, Liu C, Liu H, Liu J, Liu SC, Lu K, Ma Q, Nie W, Shao M, Song Y, Sun Y, Tang X, Wang T, Wang T, Wang W, Wang X, Wang Z, Yin Y, Zhang Q, Zhang W, Zhang Y, Zhang Y, Zhao Y, Zheng M, Zhu B, Zhu J. Recent Progress in Atmospheric Chemistry Research in China: Establishing a Theoretical Framework for the "Air Pollution Complex". ADVANCES IN ATMOSPHERIC SCIENCES 2023; 40:1-23. [PMID: 37359906 PMCID: PMC10140723 DOI: 10.1007/s00376-023-2379-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 03/06/2023] [Accepted: 04/10/2023] [Indexed: 06/28/2023]
Abstract
Atmospheric chemistry research has been growing rapidly in China in the last 25 years since the concept of the "air pollution complex" was first proposed by Professor Xiaoyan TANG in 1997. For papers published in 2021 on air pollution (only papers included in the Web of Science Core Collection database were considered), more than 24 000 papers were authored or co-authored by scientists working in China. In this paper, we review a limited number of representative and significant studies on atmospheric chemistry in China in the last few years, including studies on (1) sources and emission inventories, (2) atmospheric chemical processes, (3) interactions of air pollution with meteorology, weather and climate, (4) interactions between the biosphere and atmosphere, and (5) data assimilation. The intention was not to provide a complete review of all progress made in the last few years, but rather to serve as a starting point for learning more about atmospheric chemistry research in China. The advances reviewed in this paper have enabled a theoretical framework for the air pollution complex to be established, provided robust scientific support to highly successful air pollution control policies in China, and created great opportunities in education, training, and career development for many graduate students and young scientists. This paper further highlights that developing and low-income countries that are heavily affected by air pollution can benefit from these research advances, whilst at the same time acknowledging that many challenges and opportunities still remain in atmospheric chemistry research in China, to hopefully be addressed over the next few decades.
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Affiliation(s)
- Tong Zhu
- Peking University, Beijing, 100871 China
| | - Mingjin Tang
- Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640 China
| | - Meng Gao
- Hong Kong Baptist University, Hong Kong SAR, China
| | - Xinhui Bi
- Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640 China
| | - Junji Cao
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
| | - Huizheng Che
- Chinese Academy of Meteorological Sciences, Beijing, 100081 China
| | | | - Aijun Ding
- Nanjing University, Nanjing, 210023 China
| | | | - Jian Gao
- Chinese Research Academy of Environmental Sciences, Beijing, 100012 China
| | - Yang Gao
- Ocean University of China, Qingdao, 266100 China
| | - Maofa Ge
- Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190 China
| | - Xinlei Ge
- Nanjing University of Information Science and Technology, Nanjing, 210044 China
| | - Zhiwei Han
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
| | - Hong He
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085 China
| | - Ru-Jin Huang
- Institute of Earth Environment, Chinese Academy of Sciences, Xi’an, 710061 China
| | - Xin Huang
- Nanjing University, Nanjing, 210023 China
| | - Hong Liao
- Nanjing University of Information Science and Technology, Nanjing, 210044 China
| | - Cheng Liu
- University of Science and Technology of China, Hefei, 230026 China
| | - Huan Liu
- Tsinghua University, Beijing, 100084 China
| | - Jianguo Liu
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031 China
| | | | - Keding Lu
- Peking University, Beijing, 100871 China
| | - Qingxin Ma
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085 China
| | - Wei Nie
- Nanjing University, Nanjing, 210023 China
| | - Min Shao
- Jinan University, Guangzhou, 510632 China
| | - Yu Song
- Peking University, Beijing, 100871 China
| | - Yele Sun
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
| | - Xiao Tang
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
| | - Tao Wang
- Hong Kong Polytechnic University, Hong Kong SAR, China
| | | | - Weigang Wang
- Institute of Chemistry, Chinese Academy of Sciences, Beijing, 100190 China
| | | | - Zifa Wang
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
| | - Yan Yin
- Nanjing University of Information Science and Technology, Nanjing, 210044 China
| | | | - Weijun Zhang
- Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031 China
| | - Yanlin Zhang
- Nanjing University of Information Science and Technology, Nanjing, 210044 China
| | - Yunhong Zhang
- Beijing Institute of Technology, Beijing, 100081 China
| | - Yu Zhao
- Nanjing University, Nanjing, 210023 China
| | - Mei Zheng
- Peking University, Beijing, 100871 China
| | - Bin Zhu
- Nanjing University of Information Science and Technology, Nanjing, 210044 China
| | - Jiang Zhu
- Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
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15
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Qi L, Zheng H, Ding D, Wang S. Responses of sulfate and nitrate to anthropogenic emission changes in eastern China - in perspective of long-term variations. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 855:158875. [PMID: 36126708 DOI: 10.1016/j.scitotenv.2022.158875] [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: 06/23/2022] [Revised: 09/07/2022] [Accepted: 09/15/2022] [Indexed: 06/15/2023]
Abstract
We investigate responses of sulfate (SO42-) and nitrate (NO3-) to anthropogenic emission changes in 2006-2017 by fixing meteorology at the 2009 level using nested 3D chemical transport model GEOS-Chem. We find that sulfate concentration decreases following SO2 emissions, but with a relatively smaller reduction rate (by 16 % in North China Plain (NCP) and 28 % in Yangtze River Delta (YRD)) due to larger sulfur oxidation ratio (SOR) at lower SO2 level. SOR follows a power law with SO2 emissions in general except in winter in NCP, when and where both SO2 emission reduction and atmospheric oxidation capacity are critical to the inter-annual variations of SOR. Nitrate concentration ([pNO3-]) decreases along with NOx emission reduction in summer, but increases slightly in winter in 2011-2017. Equilibrium with gas phase HNO3, NO3- in particle phase (pNO3-) is determined by total HNO3 (TN = [pNO3-] + [gHNO3]) oxidized from NO2 and gas-particle partitioning (ε(NO3-) = [pNO3-]/TN). TN is decreasing faster in summer (~33 %) than in winter (~25 %) in 2011-2017. In contrast, ε(NO3-) changes marginally in summer (within 5 %) but increases by 36 % in NCP and by 51 % in YRD in winter in 2006-2017. The increasing of ε(NO3-) in winter is attributed to the strong reduction of [pSO42-], which increases the relative abundance of NH3 and thus favors partitioning of NO3- to the particle phase. The effect of increasing ε(NO3-) overcomes that of decreasing TN in winter. We suggest reduce SO2 emissions to further reduce [pSO42-] in eastern China. In addition, we recommend reduce NOx emissions in summer, and reduce atmospheric oxidation capacity and relative abundance of NH3 in winter to reduce [pNO3-].
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Affiliation(s)
- Ling Qi
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China
| | - Haotian Zheng
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China
| | - Dian Ding
- Institute for Atmospheric and Earth System Research (INAR)/Physics, Faculty of Science, University of Helsinki, 00014 Helsinki, Finland
| | - Shuxiao Wang
- State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China.
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16
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Wang J, Gao J, Che F, Wang Y, Lin P, Zhang Y. Dramatic changes in aerosol composition during the 2016-2020 heating seasons in Beijing-Tianjin-Hebei region and its surrounding areas: The role of primary pollutants and secondary aerosol formation. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 849:157621. [PMID: 35901889 DOI: 10.1016/j.scitotenv.2022.157621] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 07/19/2022] [Accepted: 07/20/2022] [Indexed: 06/15/2023]
Abstract
With the implementation of a series of air pollution mitigation strategies during the past decade, great air quality improvements have been observed in the BTH region. Despite of significant decreases in gaseous pollutants, such as SO2 and NO2, the enhancement of secondary aerosol formation was observed. NO3- has surpassed SO42- and OM to become the dominant PM2.5 component. We find that the reduction of POC mainly dominated the decreasing trend of OC. As for secondary inorganic components, the key processes or factors controlling the spatial-temporal variation characteristics were different. The areas with large SO42- concentrations corresponded well to those with high SO2 concentrations, while the synchronized NO3- better followed spatial patterns in O3 than NO2. From 2016 to 2020, the response of SO42- to SO2 was close to a linear function, while the reaction of NO3- to the decrease of NO2 displayed nonlinear behavior. Such different relationships indicated that SO42- was predominantly controlled by SO2, while NO3- was not only related to NO2 but also determined by the secondary conversion process. The ratios of SO42-, NO3-, NH4+, and OC to EC between 2016 and 2020 were generally higher than 1 in typical BTH cities, and the ratio of NO3- to EC was exceptionally high, with a range reaching up to 200 %. Besides, this ratio coincided well with the enhancement of Ox, indicating the potential role of Ox to secondary NO3- formation. The diurnal cycle of NO3-, O3, and NO2 concentration change rate indicated that the relative increase of O3 during nighttime may offset the effectiveness of NOX emission reduction. This study provided observational evidence of enhanced secondary NO3- formation with the rising trend of atmospheric oxidation and emphasized the importance of nighttime chemistry for NO3- formation in the BTH region.
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Affiliation(s)
- Jiaqi Wang
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jian Gao
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Fei Che
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yali Wang
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Pengchuan Lin
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yuechong Zhang
- Chinese Research Academy of Environmental Sciences, Beijing 100012, China
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17
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Yu Y, Chi Y, Du Y. Co-control of the haze pollution emissions in China: Insight from supply chains. INTEGRATED ENVIRONMENTAL ASSESSMENT AND MANAGEMENT 2022. [PMID: 36281834 DOI: 10.1002/ieam.4706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 09/26/2022] [Accepted: 10/21/2022] [Indexed: 06/16/2023]
Abstract
Because of rapid economic development and the increase in social demand, China has been suffering from serious air pollution, in particular, haze pollution. To mitigate haze from the source, it is essential to achieve co-control of three important haze precursors: volatile organic compounds (VOCs), sulfur dioxide (SO2 ), and nitrogen oxide (NOx ). In this study, we used the environmentally extended input-output model, structural path analysis, and structural path decomposition method to investigate changes in consumption-based emissions of three major haze precursors (i.e., NOx , SO2 , and VOCs) in China during 2007-2017. First, the results revealed that fixed capital formation was the most critical final demand to co-control the three precursors. Investment in construction was the most important behavior for co-control. Second, the most crucial common path driving the changes in emissions of the three precursors was "transportation and warehousing→household consumption" during 2007-2012, and "electricity, gas, and water supply→household consumption" during 2012-2017. Finally, direct emission intensity of transportation and warehousing, and electricity, gas, and water supplies were critical to co-control precursors. The results of this study provided a comprehensive understanding of changes in haze precursor emissions driven by demand. Therefore, China must strengthen the co-control of multiple pollutant emissions on both the production and consumption sides by adjusting supply chains. Integr Environ Assess Manag 2022;00:1-16. © 2022 SETAC.
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Affiliation(s)
- Yang Yu
- School of Economics and Management, Beijing University of Chemical Technology, Beijing, China
| | - Yulin Chi
- School of Economics and Management, Beijing University of Chemical Technology, Beijing, China
| | - Yiming Du
- School of Economics and Management, Beijing University of Chemical Technology, Beijing, China
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