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ACS ES&T Air 2025年第3期2卷 416-425页

作者： Jun Liu Meiru Chen Biwu Chu Tianzeng Chen Qingxin Ma Yonghong Wang Peng Zhang Hao Li Bin Zhao Rongfu Xie Qing Huang Shuxiao Wang Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China；University of Chinese Academy of Sciences Beijing 100049 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China；Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China；University of Chinese Academy of Sciences Beijing 100049 China School of Environment Tsinghua University Beijing 100084 China College of Ecology and Environment Hainan University Haikou 570228 China；Hainan Research Academy of Environmental Sciences Haikou 571126 China School of Environmental Science and Engineering Hainan University Haikou 570228 China

Regional transport of air pollutants is a serious challenge to outdoor O3pollution control. Characterizing the transport of air pollutants by traditional air quality models heavily relies on accurate precursor emission inventories, chemical reaction mechanisms, and meteorological factors. In this study, the pollutant concentrations of upwind cities were incorporated as features into a random forest regression model (Traj-RF) to investigate the contribution of regional transport to local O3pollution. Hainan island was selected as the target area in this study, due to its air quality being affected significantly by regional transport. The Traj-RF model shows good predictive performance for O3with a coefficient of determination (R2) of 0.68 on the independent test set based on only observed air pollutants concentrations and meteorological data. The results of the Traj-RF model show that direct O3transport from upwind areas contributes approximately 27.5% to the O3concentration in Hainan, effectively highlighting the substantial role of regional transport in Hainan’s O3pollution. This refined machine learning method may have the potential to assess the impact of pollutant transport on regional air quality.

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Enhanced mid-latitude warming due to poleward shift of sea salt aerosols in a warmer future

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Science Bulletin 2025年

作者： Yang, Yang Yu, Yang Wang, Yujue Wang, Hailong Russell, Lynn M. Wang, Pinya Liao, Hong State Key Laboratory of Climate System Prediction and Risk Management/Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control/Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology/Joint International Research Laboratory of Climate and Environment Change Nanjing University of Information Science and Technology Nanjing210044 China School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing210044 China Frontiers Science Center for Deep Ocean Multispheres and Earth System Key Laboratory of Marine Environment and Ecology Ministry of Education of China Ocean University of China Qingdao266100 China Atmospheric Climate and Earth Sciences Division Pacific Northwest National Laboratory RichlandWA99352 United States Scripps Institution of Oceanography University of California San DiegoCA92093 United States

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An Increase in Primary Formaldehyde Emissions Induced by the Coal-to-Gas Policy in Beijing

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SSRN 2023年

作者： Tang, Guiqian Kang, Yanyu Liu, Baoxian Yao, Dan Wang, Yiming Wang, Yinghong Wang, Yuesi Anhui University of Science and Technology China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences Beijing100029 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing100084 China Beijing Key Laboratory of Airborne Particulate Matter Monitoring Technology Beijing Municipal Environmental Monitoring Center Beijing100048 China School of Environment Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control Ministry of Education Henan Normal University Xinxiang453007 China Beijing100081 China University of Chinese Academy of Sciences Beijing100049 China

In recent years, China has implemented the "coal-to-gas" strategy. The source composition spectra of pollutants emitted from coal and natural gas combustion are substantially different. Therefore, changes in the energy structure may lead to a significant impact on the atmospheric formaldehyde (HCHO) concentration and sources. To investigate the changes in HCHO sources, this study used proton transfer reaction-time-of-flight/mass spectrometry to observe and analyze HCHO in Beijing in May (spring), August (summer), and October (autumn) of 2019 and January (winter) of 2020. The average concentrations during the observation period were 5.1 ± 2.5 ppb (spring), 7.2 ± 1.9 ppb (summer), 3.6 ± 1.9 ppb (autumn), and 1.8 ± 0.5 ppb (winter), showing a characteristic of a single peak (midday) variation. Using nonmethane hydrocarbons as tracers, the source contributions of HCHO were quantified by the positive matrix factorization method. The results showed that the average contribution of secondary + biogenic was 2.2 ppb throughout the year, while the average contribution of anthropogenic primary was 1.5 ppb, accounting for 60.0% and 40.0% of the total concentration, respectively. Importantly, compared with 2011, the contribution of anthropogenic primary increased considerably, by 18.2% in winter, which has a significant relationship with "coal-to-gas". This study emphasizes the importance of primary HCHO emissions from natural gas. With the deep promotion of "coal-to-gas", it is necessary to strengthen the control of pollutants directly emitted from natural gas combustion in the future. © 2023, The Authors. All rights reserved.

关键词： Coal

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Unraveling climate change-induced compound low-solar-low-wind extremes in China

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国家科学评论（英文版） 2025年第1期12卷 92-105页

作者： Licheng Wang Yawen Liu Lei Zhao Xi Lu Liangdian Huang Yana Jin Steven J.Davis Amir Aghakouchak Xin Huang Tong Zhu Yue Qin College of Environmental Sciences and Engineering Peking UniversityBeijing 100871China Institute of Carbon Neutrality Peking UniversityBeijing 100871China School of Atmospheric Sciences Nanjing UniversityNanjing 210023China Department of Civil and Environmental Engineering University of Illinois at Urbana-ChampaignUrbanaIL 61801USA National Center for Supercomputing Applications University of Illinois at Urbana-ChampaignUrbanaIL 61801USA School of Environment State Key Joint Laboratory of Environment Simulation and Pollution ControlTsinghua UniversityBeijing 100084China Department of Earth System Science University of CaliforniaIrvineIrvineCA 92697USA Department of Earth System Science University of CaliforniaIrvineIrvineCA 92697USA Department of Civil and Environmental Engineering University of CaliforniaIrvineIrvineCA 92697USA

China's pursuit of carbon neutrality targets hinges on a profound shift towards low-carbon energy,primarily reliant on intermittent and variable,yet crucial,solar and wind power *** particular,low-solar-low-wind(LSLW)compound extremes present a critical yet largely ignored threat to the reliability of renewable electricity *** existing studies have largely evaluated the impacts of average climate-induced changes in renewable energy resources,comprehensive analyses of the compound extremes and,particularly,the underpinning dynamic mechanisms remain *** we show the dynamic evolution of compound LSLW extremes and their underlying mechanisms across China via coupling multi-model simulations with diagnostic *** results unveil a strong topographic dependence in the frequency of compound LSLW extremes,with a national average frequency of 16.4(10th-90th percentile interval ranges from 5.3 to 32.6)days/yr,when renewable energy resources in eastern China are particularly compromised(～80％lower than that under an average climate).We reveal a striking increase in the frequency of LSLW extremes,ranging from 12.4％under SSP126 to 60.2％under SSP370,primarily driven by both renewable energy resource declines and increasingly heavily-tailed distributions,resulting from weakened meridional temperature(pressure)gradient,increased frequency of extremely dense cloud cover and additional distinctive influence of increased aerosols under *** study underscores the urgency of preparing for significantly heightened occurrences of LSLW events in a warmer future,emphasizing that such climate-induced compound LSLW extreme changes are not simply by chance,but rather projectable,thereby underscoring the need for proactive adaptation *** insights are crucial for countries navigating a similar transition towards renewable energy.

关键词： wind energy solar energy renewable energy climate change compound energy droughts

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Lifetime Investigation of Particulate and Gaseous Emissions for Typical Residential Coal Combustion

SSRN

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SSRN 2024年

作者： Li, Siyuan Liu, Dantong Jiang, Xiaotong Tian, Ping Sheng, Jiujiang Wu, Yangzhou Hu, Kang Bi, Kai Li, Ruijie Zhao, Delong Huang, Mengyu Kong, Shaofei Zheng, Chenghang Department of Atmospheric Sciences School of Earth Sciences Zhejiang University Hangzhou310058 China Zhejiang University China Beijing Weather Modification Center Beijing100089 China Guangxi Key Laboratory of Environmental Pollution Control Theory and Technology College of Environment Science and Engineering Guilin University of Technology Guilin541004 China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing University of Information Science & Technology 219 Ningliu Road Nanjing210044 China Department of Atmospheric Sciences School of Environmental Studies China University of Geosciences Wuhan430074 China StateKey Lab of Clean Energy Utilization State Environmental Protection Engineering Center for Coal-Fired Air Pollution Control Zhejiang University Hangzhou310027 China

Residential coal combustion still contributes to half of the heating energy consumption in many developing countries. The dynamic variation during combustion lifetime importantly determines the combustion facility design and appropriate air quality assessment, which however was omitted in conventional studies. This study online investigated the emissions of particulate and gaseous pollutants during combustion lifetime for typical coal types. During the first pyrolysis stage with temperature climbing, the organic aerosols (OA) and gases reached peak concentration. The second fierce combustion stage had the highest temperature and produced the highest accumulative emissions, particularly a substantial amount of black carbon for coals with more volatile content. The future application using higher-quality coals will undoubtedly reduce the emission of PM, such as by a factor of 10 from bituminous to anthracite coal. However, more ultrafine particles (d © 2024, The Authors. All rights reserved.

关键词： Energy utilization

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Relationships of ozone formation sensitivity with precursors emissions,meteorology and land use types,in Guangdong-Hong Kong-Macao Greater Bay Area,China

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Journal of environmental Sciences 2020年第8期32卷 1-13页

作者： Yuping Chen Hui Yan Yijuan Yao Chunling Zeng Ping Gao Liyue Zhuang Liya Fan Daiqi Ye School of Environment and Energy South China University of Technology(SCUT)Guangzhou 510006China Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control SCUTGuangzhou 510006China National Engineering Laboratory for Volatile Organic Compounds Pollution Control Technology and Equipment SCUTGuangzhou 510006China

Due to the influences of precursors emissions,meteorology,geography and other factors,ozone formation sensitivity(OFS)is generally spatially and temporally *** study characterized detailed spatial and temporal variations of OFS in Guangdong-Hong Kong-Macao Greater Bay Area(GBA)from 2012 to 2016 based on OMI satellite data,and analyzed the relationships of OFS with precursors emissions,meteorology and land use types(LUTs).From 2012 to 2016,the OFS tended to be NOx-limited in GBA,with the value of FNR(HCHO/NO 2)increasing from 2.04 to *** to the total annual emission statistics of precursors,NOx emissions decreased by 33.1%and VOCs emissions increased by 35.2%from 2012 to 2016,directly resulting in OFS tending to be NO *** Grey Relation Analysis results show that total column water(TCW),surface net solar radiation(SSR),air temperature at 2 m(T2)and surface pressure(SP)are the top four meteorological factors with the greatest influences on *** are significant positive correlations between FNR and T2,SSR,TCW,and significant negative correlations between FNR and *** GBA,the OFS tends to be NO x-limited regime in wet season(higher T2,SSR,TCW and lower SP)and VOCs-limited regime in dry season(lower T2,SSR,TCW and higher SP).The FNR displays obvious gradient variations on different LUTs,with the highest in“Rural areas”,second in“Suburban areas”and lowest in“Urban areas”.

关键词： OMI FNR Precursors emission Meteorology Land use type Grey Relation Analysis

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Application of smog chambers in atmospheric process studies

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National Science Review 2022年第2期9卷 126-141页

作者： Biwu Chu Tianzeng Chen Yongchun Liu Qingxin Ma Yujing Mu Yonghong Wang Jinzhu Ma Peng Zhang Jun Liu Chunshan Liu Huaqiao Gui Renzhi Hu Bo Hu Xinming Wang Yuesi Wang Jianguo Liu Pinhua Xie Jianmin Chen Qian Liu Jingkun Jiang Junhua Li Kebin He Wenqing Liu Guibin Jiang Jiming Hao Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences College of Resources and Environment University of Chinese Academy of Sciences Aerosol and Haze Laboratory Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing University of Chemical Technology Beijing Convenient Environmental Tech Co.Ltd Key Laboratory of Environmental Optics and Technology Anhui Institutes of Optics and Fine Mechanics Chinese Academy of Sciences State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences 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 Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science and Engineering Fudan University State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco-Environmental Sciences Chinese Academy of Sciences State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University

Smog chamber experimental systems,which have been widely used in laboratory simulation for studying atmospheric processes,are comprehensively reviewed in this *** components,development history,main research topics and main achievements of smog chambers are *** smog chambers in the world,including their volumes,wall materials,light sources and features,are summarized and *** factors of smog chambers and their influences on the simulation of the atmospheric environment are discussed,including wall loss,wall emission and background *** features of next-generation smog chambers and their application prospect in future studies of the atmospheric environment are also outlined in this paper.

关键词： smog chamber simulation wall effect secondary aerosol ozone

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Changes in air pollutants during the COVID-19 lockdown in Beijing:Insights from a machine-learning technique and implications for future control policy

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atmospheric and Oceanic Science Letters 2021年第4期14卷 63-69页

作者： Jiabao Hu Yuepeng Pan Yuexin He Xiyuan Chi Qianqian Zhang Tao Song Weishou Shen Collaborative Innovation Centre of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution ControlSchool of Environmental Science and EngineeringNanjing University of Information Science&TechnologyNanjingChina State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry(LAPC) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijingChina University of Chinese Academy of Sciences BeijingChina National Meteorological Center China Meteorological AdministrationBeijingChina National Satellite Meteorological Center China Meteorological AdministrationBeijingChina

The COVID-19 lockdowns led to abrupt reductions in human-related emissions worldwide and had an unintended impact on air quality ***,quantifying this impact is difficult as meteorological conditions may mask the real effect of changes in emissions on the observed concentrations of *** on the air quality and meteorological data at 35 sites in Beijing from 2015 to 2020,a machine learning technique was applied to decouple the impacts of meteorology and emissions on the concentrations of air *** results showed that the real(“deweathered”)concentrations of air pollutants(expect for O 3)dropped significantly due to lockdown *** with the scenario without lockdowns(predicted concentrations),the observed values of PM_(2.5),PM_(10),SO_(2),NO_(2),and CO during lockdowns decreased by 39.4%,50.1%,51.8%,43.1%,and 35.1%,*** addition,a significant decline for NO_(2)and CO was found at the background sites(51%and 37.8%)rather than the traffic sites(37.1%and 35.5%),which is different from the common *** the primary emissions reduced during the lockdown period,episodic haze events still occurred due to unfavorable meteorological ***,developing an optimized strategy to tackle air pollution in Beijing is essential in the future.

关键词： Random forest model Air pollutants Meteorological normalization COVID-19 Emission control strategy

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The response of daytime nitrate formation to source emissions reduction based on chemical kinetic and thermodynamic model

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Science of the Total environment 2024年 953卷 176002页

作者： Wei, Yuting Zhao, Dongheng Zhang, Zhang Li, Mei Wang, Feng Pei, Chenglei Liang, Danni Feng, Yinchang Shi, Guoliang The State Environment Protection Key Laboratory of Urban Particulate Air Pollution Prevention Tianjin Key Laboratory of Urban Transport Emission Research CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research College of Environmental Science and Engineering Cooperative Laboratory for Atmospheric Environment-Health Research Nankai University Tianjin300350 China College of Environment and Climate Institute of Mass Spectrometry and Atmospheric Environment Guangdong Provincial Engineering Research Center for on line source apportionment system of air pollution Jinan University Guangzhou510632 China Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality Guangzhou510632 China School of Environmental Science and Safety Engineering Tianjin University of Technology Tianjin300384 China Guangzhou Sub-branch of Guangdong Ecological and Environmental Monitoring Center Guangzhou510006 China

Particulate nitrate is an important component of particulate matter and poses a significant threat to the ecosystem and human health. The gas-phase formation pathway of nitrate is extremely important, which mainly comprises the NO2 oxidation process triggered by OH radicals and the nitrate partitioning process. The response of nitrate to source emission reduction during different pollution periods remains unclear. Here, we applied the chemical kinetic and thermodynamics model to explore the importance oxidation process and partitioning process during different pollution periods based on high-time resolution observation data. The result indicated that with the aggravation of pollution, the partitioning process gradually ceases to be a limiting step in the formation of nitrates. The results of the influencing factor analysis indicate that NO2 concentration and aerosol pH values play a more significant role in the formation of nitrates. Specifically, during the clean period, nitrate formation is sensitive to both NO2 concentration and pH values, but during the pollution period, it becomes sensitive only to NO2 concentration. By combining source apportionment, we explored the response of nitrate formation to source emission reduction, and the results showed that the control of vehicle exhaust emissions and coal combustion sources is more effective in mitigating nitrate pollution. Additionally, this study also emphasized the importance of early prevention and control of pollution sources. This research provides scientific evidence for the precise management and control of nitrates. © 2024 Elsevier B.V.

关键词： Nitrate production Gas phase Haze episode Source apportionment Chemical kinetic model Thermodynamics model

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Hydrophobic Sers Substrate for Pfoa Sensing and Cooperative Adsorption

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SSRN 2025年

作者： Guo, Yirong Li, Zheng Chen, Xiaoping Cai, Zhixiong Logistics Office Minnan Normal University Zhangzhou363000 China Key Laboratory of Modern Analytical Science and Separation Technology of Fujian Province Key Laboratory of Pollution Monitoring and Control of Fujian Province College of Chemistry Chemical Engineering and Environment Minnan Normal University Zhangzhou363000 China

The widespread use of perfluorinated organic compounds (PFOA) has posed significant threats to ecosystems and biological health. This study investigates a fluorinated metal-organic framework (F-MOF) for highly sensitive SERS detection and efficient adsorption of PFOA in aqueous environments. Au@MIL-4F, synthesized via a mild thermochemical method, exhibits exceptional selectivity and sensitivity toward PFOA, achieving a broad detection range with a remarkably low detection limit of 38 pM. The SERS sensor demonstrates excellent reproducibility and stability. Furthermore, adsorption kinetics and thermodynamic studies reveal a maximum adsorption capacity of 254.25 mg/g for PFOA on Au@MIL-4F. The adsorption mechanism, elucidated through spectroscopic and structural analyses, provides critical theoretical insights for developing dual-functional systems that integrate detection and adsorption capabilities. This work not only advances material design for environmental remediation but also offers a practical strategy to address PFOA contamination with precision and sustainability. © 2025, The Authors. All rights reserved.

关键词： environmental design

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