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SSRN 2023年

作者： Lian, Xiufeng Liu, Fengxian Peng, Long Tang, Guigang Dao, Xu Guo, Hui Cheng, Chunlei Zhang, Guohua Bi, Xinhui Tang, Mei Lia, Lei Zhoua, Zhen Lia, Mei 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 State Key Laboratory of Organic Geochemistry Guangdong Provincial Key Laboratory of Environmental Protection and Resources Utilization Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou510640 China Guangdong-Hongkong-Macau Joint Laboratory of Collaborative Innovation for Environmental Quality Guangzhou510632 China Taiyuan University of Technology Shanxi Taiyuan030024 China College of Ecology and Environment Xin Jiang University Urumqi830046 China China National Environmental Monitoring Centre Beijing100012 China Hunan Province Environmental Monitoring Cerner Hunan410014 China Guangdong MS Institute of Scientific Instrument Innovation Guangzhou510700 China

Coal-to-gas (replacing coal with natural gas) is an important energy transformation strategy for addressing environmental, but the improvement of atmospheric Pb pollution from coal-to-gas remains poorly understood. Beijing has basically realized coal-free in urban and plain areas by the end of 2018. A single particle aerosol mass spectrometry (SPAMS) was deployed to investigate the mixing state and chemical processing of Pb-rich particles in urban Beijing in 2019. Based on a large dataset of mass spectra, this study find K-Na-EC and K-OC particles associated with coal combustion. The contribution of coal combustion to atmospheric Pb decreased significantly, and iron/steel industries are the most important source of Pb after coal-to-gas. The atmospheric Pb in Beijing urban area is mainly transmitted from surrounding provinces such as Mongolia Province, Hebei Province, Liaoning Province, Anhui Province and Shandong Province. These Pb in Pb-rich particles are mainly in the form of Pb(NO3)2, through photochemical and/or aqueous phase reactions of PbCl2 and HNO3 and/or NO2 in the gas phase. These results assess the effect of coal-to-gas on the source structure and mixing state of Pb particles, and indicate that Pb pollution still needs to be paid attention to because Pb(NO3)2 abundance increases with improved control quality. © 2023, The Authors. All rights reserved.

关键词： Gases

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Corrigendum to “Drivers of PM_(2.5)-O_(3) co-pollution: from the perspective of reactive nitrogen conversion pathways in atmospheric nitrogen cycling” [Sci. Bull. 67(18) (2022) 1833–1836]

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Science Bulletin 2023年第3期68卷 351-351页

作者： Feng Wang Weichao Wang Zhenyu Wang Zhongcheng Zhang Yinchang Feng Armistead GRussell Guoliang Shi State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control Tianjin Key Laboratory of Urban Transport Emission ResearchCollege of Environmental Science and EngineeringNankai UniversityTianjin 300350China China Meteorological Administration-Nankai University(CMA-NKU)Cooperative Laboratory for Atmospheric Environment-Health Research College of Environmental Science and EngineeringNankai UniversityTianjin 300350China Department of Electronics and Tianjin Key Laboratory of Photo-Electronic Thin Film Device and Technology Nankai UniversityTianjin 300071China School of Civil and Environmental Engineering Georgia Institute of TechnologyAtlantaGA 30332-0512USA

The authors would like to correct Fig.1e,*** to our neglect when doing the picture layout of Fig.1,the abscissa in Fig.1e,f is error:the abscissa ranges from80 to 0 in Fig.1e and ranges from90 to20 in *** image has been corrected:the abscissa ranges from80 to 80 in Fig.1e and ranges from80 to 80 in Fig.1f[1].We declare that this correction does not change the results or conclusions of this paper.

关键词： cycling pollution correction

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Variations of Ground Surface Albedo and its Influence on the Photolysis Rates of No2 in a Typical Urbanized Area of Shanghai

SSRN

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SSRN 2024年

作者： Xiu, Guangli Duan, Yusen Fu, Qingyan Zhang, Kun Wang, Qian Xiao, Linhong Xiao, Yu Huo, Juntao Yang, Fan Meng, Chen State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes School of Resources and Environmental Engineering East China University of Science and Technology Shanghai200237 China Shanghai Environmental Protection Key Laboratory for Environmental Standard and Risk Management of Chemical Pollutants School of Resources and Environmental Engineering East China University of Science and Technology Shanghai200237 China Shanghai Technology Center for Reduction of Pollution and Carbon Emission Shanghai200235 China Australia-China Center for Air Quality Science and Management Australia Shanghai Academy of Environmental Sciences Shanghai200233 China Shanghai University Shanghai200444 China 3Clear Technology Co. Ltd. Beijing100029 China Shanghai Environmental Monitoring Center Shanghai200235 China School of Geographic Sciences East China Normal University Shanghai200241 China Pudong New Area Environmental Monitoring Station Shanghai200135 China

Photolysis reactions are commonly regarded as the initial reaction of atmospheric chemistry. The photolysis of NO2 is a crucial reaction contributing to ozone pollution within the planetary boundary *** rate of NO2 photolysis depends on factors such as solar actinic flux, the absorption cross-section of NO2, and the quantum yield of the resulting photodissociation products. Ground surface albedo has the potential to amplify the overall J(NO2) value and enhance photochemical reactions. Research conducted at the PUDONG supersite, situated in a downtown areas surrounded by urban structures, revealed an average ground surface albedo of J(NO2) to be 0.146±0.028. This albedo was observed to increase with higher solar zenith angles, surpassing 0.20 when the solar zenith angle exceeded 45°, values notably higher than the parameter utilized in the CAMx model(0.08).The reflection of solar UV radiation by the ground surface can stimulate ozone formation by boosting the photolysis of NO2. Modeling results from F0AM during a typical ozone episode indicated that the average increments in daily maximum ozone concentration were 7.21%,14.52% and 21.91% for albedos of 0.10, 0.15 and 0.20, respectively, compared to albedo of 0.05. WRF-CAMx simulations demonstrated a significant increase in daily maximum ozone concentration with the expansion of urban ground surfaces from 1990 to 2020, highlighting the substantial impact of rising ground surface albedo on exacerbating ozone pollution. © 2024, The Authors. All rights reserved.

关键词： Ozone

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Author Correction: China's greenhouse gas emissions for cropping systems from 1978-2016

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Scientific data 2023年第1期10卷 122页

作者： Dijuan Liang Xi Lu Minghao Zhuang Guang Shi Chengyu Hu Shuxiao Wang Jiming Hao Beijing Laboratory of Environmental Frontier Technologies School of Environment Tsinghua University Beijing 100084 China. Department of Environmental Health Harvard T.H. Chan School of Public Health Boston MA USA. Beijing Laboratory of Environmental Frontier Technologies School of Environment Tsinghua University Beijing 100084 China. xilu@***. State Key Joint Laboratory of Environment Simulation and Pollution Control and State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Tsinghua University Beijing 100084 P. R. China. xilu@***. College of Resources and Environmental Sciences National Academy of Agriculture Green Development Key Laboratory of Plant-Soil Interactions of MOE China Agricultural University Beijing P.R. China. School of Computer Science China University of Geosciences Wuhan 430074 China. State Key Joint Laboratory of Environment Simulation and Pollution Control and State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Tsinghua University Beijing 100084 P. R. China.

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Exploring the key parameters for indoor light intervention measures in promoting mental health: A systematic review

Indoor Environments

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Indoor Environments 2024年第2期1卷

作者： Chunliang Wang Kai Su Linming Hu Siqing Wu Yiqiang Zhan Chongguang Yang Jianbang Xiang School of Public Health (Shenzhen) Sun Yat-sen University Shenzhen Guangdong 518107 China School of Medicine Shenzhen Campus of Sun Yat-sen University Shenzhen Guangdong 518107 China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084 China

Indoor lighting can regulate human mood and sleep, further alleviating mental disorder symptoms. Indoor light intervention (ILI) has been demonstrated as therapeutic for mental disease but lacks standardized guidelines for key parameter settings. This review aims to explore the optimal parameters for widely utilized ILI. We conducted a thorough review of research articles published from 1990 to 2023 in the Web of Science, PubMed, and Scopus databases following the PRISMA guidance. Out of a total of 95728 records, 40 eligible studies were analyzed. We subsequently empirically summarized the ILI’s key parameters (i.e., wavelength, illuminance, and exposure time) into each category and compared the therapeutic effects among different ILI groups within each category. Furthermore, we conducted a multivariate model analysis to identify the optimal parameters further while controlling for confounding factors. Results indicate that ILI was mainly used for treating depressive disorders, accounting for 88% of the included articles. Notably, 450 – 550 nm peak wavelength light exhibited superior therapeutic efficacy compared to other wavelengths. Light illuminance within 2500 – 10000 lux correlated significantly and positively with efficacy. Morning ILI appeared more effective than evening ILI, and the efficacy increased with the number of treatment days. Optimizing light wavelength, illuminance, and exposure time of indoor light intervention can significantly enhance its therapeutic effects on mental illness. Our review provides a fundamental reference for improving the use of indoor light intervention in treating mental disorders and optimizing indoor lighting design for a healthy indoor environment.

关键词： BD Bipolar disorder BDI Beck depression inventory CAPS the Clinician assessed PTSD scale CGI-S The clinical global impressions-severity DALYs Disability-adjusted life-years D i, j , disorder type GAD Generalized anxiety disorder GBD The global burden of diseases, injuries, and risk factors study GDS Geriatric depression scale HADS Hospital anxiety and depression scale HDRS Hamilton depression rating scale ip-RGCs intrinsically photosensitive retinal ganglion cells I i, j , illuminance (lux) ILI , Indoor light intervention Log( RC i ,j ) , log-transformed scale score’s relative change (%) MADRS the Montgomery-asberg depression rating scale MDD Major depressive disorder NIR Near-infrared ray NOD i, j , number of treatment days (# days) N-SDD Non-seasonal depressive disorder OD Other depression PCL-M the PTSD checklist-military version PRISMA Preferred Reporting Items for Systematic Review and Meta-Analysis PTSD Post-traumatic stress disorder RC Relative change RC c i,j , scale score’s relative change in the control group (%) RC e , i,j , scale score’s relative change in the experimental group (%) RC i, j , scale score’s relative change (%) ΔRC i, j , the difference in scale score’s relative change (%) SAD Seasonal affective disorder SCN Suprachiasmatic nucleus SIGH-A the Structured Interview Guide for the Hamilton Anxiety scale SIGH-SAD Hamilton depression rating scale-sad version STAI state-trait anxiety inventory S post, i,j , scale score after the intervention S pre, i,j , scale score before the intervention TOD i, j , treatment timing of a day Light intervention Indoor light exposure Indoor environment Mental disorders Light parameters

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Publisher Correction: Ozone pollution mitigation strategy informed by long-term trends of atmospheric oxidation capacity

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Nature Geoscience 2024年 172页

作者： Wenjie Wang Xin Li Ying Liu Sihua Lu Yusheng Wu Shiyi Chen Keding Lu Min Hu Limin Zeng Min Shao Yuanhang Zhang Hang Su Yafang Cheng Ruijing Ni Ulrich Pöschl Zhaofeng Tan Franz Rohrer Andreas Wahner David D. Parrish Cheng Huang Xudong Tian K. M. Leung Liangfu Chen Meng Fan Qiang Zhang State Key Joint Laboratory of Environmental Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University Beijing China State Key Laboratory of Atmospheric Environment and Extreme Meteorology Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China Max Planck Institute for Chemistry Mainz Germany International Joint Laboratory for Regional Pollution Control Ministry of Education Beijing China Collaborative Innovation Centre of Atmospheric Environment and Equipment Technology Nanjing University of Information Science & Technology Nanjing China Institute of Carbon Neutrality Peking University Beijing China Institute for Environmental and Climate Research Jinan University Guangzhou China State Environmental Protection Key Laboratory of Formation and Prevention of Urban Air Pollution Complex Shanghai Academy of Environmental Sciences Shanghai China Institut für Energie-und Klimaforschung: Troposphäre (IEK-8) Forschungszentrum Jülich Jülich Germany Key Laboratory of Ecological and Environmental Monitoring Forewarning and Quality Control of Zhejiang Zhejiang Ecological and Environmental Monitoring Center Hangzhou China Environmental Protection Department The Government of the Hong Kong Special Administrative Region Hong Kong China State Key Laboratory of Remote Sensing Science The Aerospace Information Research Institute Chinese Academy of Sciences Beijing China Department of Earth System Science Tsinghua University Beijing China

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"what We Breathe Impacts Our Health: Improving Understanding of the Link between air pollution and Health"

"what We Breathe Impacts Our Health: Improving Understanding...

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作者： West, J. Jason Cohen, Aaron Dentener, Frank Brunekreef, Bert Zhu, Tong Armstrong, Ben Bell, Michelle L. Brauer, Michael Carmichael, Gregory Costa, Dan L. Dockery, Douglas W. Kleeman, Michael Krzyzanowski, Michal Künzli, Nino Liousse, Catherine Lung, Shih-Chun Candice Martin, Randall V. Pöschl, Ulrich Pope, C. Arden Roberts, James M. Russell, Armistead G. Wiedinmyer, Christine Environmental Sciences and Engineering University of North Carolina at Chapel Hill Chapel HillNC27599 United States Health Effects Institute BostonMA02110 United States European Commission Joint Research Centre Institute for Environment and Sustainability IspraI. 21027 Italy Institute for Risk Assessment Sciences Universiteit Utrecht Julius Center for Health Sciences and Primary Care University Medical Center Utrecht Utrecht3584 CJ Netherlands State Key Lab for Environmental Simulation and Pollution Control College of Environmental Science and Engineering Peking University Beijing100871 China Social and Environmental Health Research London School of Hygiene and Tropical Medicine LondonWC1E 7HT United Kingdom School of Forestry and Environmental Studies Yale University New HavenCT06511 United States School of Population and Public Health University of British Columbia VancouverBCV6T 1Z3 Canada Chemical and Biochemical Engineering University of Iowa Iowa CityIA52242 United States Air Climate and Energy Research Program Office of Research and Development Environmental Protection Agency DurhamNC27705 United States Harvard T. H. Chan School of Public Health BostonMA02115 United States Civil and Environmental Engineering University of California at Davis DavisCA95616 United States Environmental Research Group King's College London LondonSE1 9NH United Kingdom Epidemiology and Public Health Swiss Tropical and Public Health Institute Basel Switzerland University of Basel Basel Switzerland Laboratoire d' Aérologie CNRS-Université de Toulouse Toulouse31400 France Research Center for Environmental Changes Academia Sinica Taipei Taiwan Physics and Atmospheric Science Dalhousie University HalifaxNSB3H 4R2 Canada Harvard-Smithsonian Center for Astrophysics CambridgeMA02138 United States Multiphase Chemistry Department Max Planck Institute for Chemistry Mainz55128 Germany Economics Brigham Young University ProvoUT84602 United States Ea

air pollution contributes to the premature deaths of millions of people each year around the world, and air quality problems are growing in many developing nations. While past policy efforts have succeeded in reducing particulate matter and trace gases in North America and Europe, adverse health effects are found at even these lower levels of air pollution. Future policy actions will benefit from improved understanding of the interactions and health effects of different chemical species and source categories. Achieving this new understanding requires air pollution scientists and engineers to work increasingly closely with health scientists. In particular, research is needed to better understand the chemical and physical properties of complex air pollutant mixtures, and to use new observations provided by satellites, advanced in situ measurement techniques, and distributed micro monitoring networks, coupled with models, to better characterize air pollution exposure for epidemiological and toxicological research, and to better quantify the effects of specific source sectors and mitigation strategies. © 2016 American Chemical Society.

关键词： Health

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Ensemble source apportionment of particulate matter and volatile organic compounds and quantifying ensemble source impacts on ozone

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Journal of environmental Sciences 2024年

作者： Weiqing Liang Zhenyu Wang Dongheng Zhao Jinxing Liu Tong Ma Yinchang Feng Guoliang Shi State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control Tianjin Key Laboratory of Urban Transport Emission Research College of Environmental Science and Engineering Nankai University Tianjin 300350 China CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research (CLAER) College of Environmental Science and Engineering Nankai University Tianjin 300350 China State Key Laboratory of Precision Measuring Technology and Instruments Tianjin Environmental Monitoring Technology Enterprise Key Laboratory School of Precision Instrument and Optoelectronics Engineering Tianjin University Tianjin 300072 China Zhigan Technology (Tianjin) Co. Ltd Tianjin 300072 China Chinese Research Academy of Environmental Sciences Beijing 100012 China

Serious fine particulate matter (PM 2.5 ) pollution and rapidly increasing of ground-level ozone (O 3 ) concentrations are concern issues in China. To achieve the comprehensive control of PM 2.5 O 3 composite air pollution, exploring the common sources of PM 2.5 and VOCs is essential. However, previous researches most carried out either PM 2.5 or VOCs source appointment. In this study, we applied the ensemble source apportionment method to explore the impacts of common sources on PM 2.5 -VOCs. Subsequently, we obtained the ensemble source impacts on O 3 combining the extracted VOCs source profile and ozone formation potential. We found that the focus of environmental management and source control should be varied accordingly for different pollutants. Vehicle emission was the largest contributor (41 %) to PM 2.5 -VOCs, while industrial emission was the main common source (51 %) to O 3 . The result showed that the O 3 production rate is not only related to the VOCs emission, but also to the reactivity of VOCs. In addition, sensitivity tests revealed that temperature was the main factor affecting O 3 formation. The study provides a framework to explore the common sources impact on PM 2.5 and VOCs, which is benefit to address both PM 2.5 and O 3 mitigations.

关键词：

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Author Correction: Plastic waste discharge to the global ocean constrained by seawater observations

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Nature communications 2023年第1期14卷 8409页

作者： Yanxu Zhang Peipei Wu Ruochong Xu Xuantong Wang Lili Lei Amina T Schartup Yiming Peng Qiaotong Pang Xinle Wang Lei Mai Ruwei Wang Huan Liu Xiaotong Wang Arjen Luijendijk Eric Chassignet Xiaobiao Xu Huizhong Shen Shuxiu Zheng Eddy Y Zeng School of Atmospheric Sciences Nanjing University 210023 Nanjing China. zhangyx@***. Frontiers Science Center for Critical Earth Material Cycling Nanjing University 210023 Nanjing China. zhangyx@***. School of Atmospheric Sciences Nanjing University 210023 Nanjing China. School of Atmospheric Sciences Nanjing University 210023 Nanjing China. lililei@***. Scripps Institution of Oceanography University of California San Diego La Jolla CA USA. Center for Environmental Microplastics Studies Guangdong Key Laboratory of Environmental Pollution and Health School of Environment Jinan University 511443 Guangzhou China. State Key Joint Laboratory of ESPC State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex School of Environment Tsinghua University Beijing China. Faculty of Civil Engineering and Geosciences Delft University of Technology Delft Netherlands. Hydraulic Engineering Deltares Delft Netherlands. Center for Ocean-Atmospheric Prediction Studies (COAPS) Florida State University Tallahassee FL USA. School of Environmental Science and Technology Southern University of Science and Technology Shenzhen Guangdong China. College of Urban and Environmental Sciences Peking University Beijing China. Center for Environmental Microplastics Studies Guangdong Key Laboratory of Environmental Pollution and Health School of Environment Jinan University 511443 Guangzhou China. eddyzeng@***.

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Author Correction: Enhancing rice production sustainability and resilience via reactivating small water bodies for irrigation and drainage

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Nature communications 2023年第1期14卷 4529页

作者： Sisi Li Yanhua Zhuang Hongbin Liu Zhen Wang Fulin Zhang Mingquan Lv Limei Zhai Xianpeng Fan Shiwei Niu Jingrui Chen Changxu Xu Na Wang Shuhe Ruan Wangzheng Shen Menghan Mi Shengjun Wu Yun Du Liang Zhang Hubei Provincial Engineering Research Center of Non-Point Source Pollution Control Innovation Academy for Precision Measurement Science and Technology Chinese Academy of Sciences Wuhan 430077 PR China. Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Wuhan 430077 PR China. University of Chinese Academy of Sciences Beijing 100049 PR China. Institute of Agricultural Resources and Regional Planning Chinese Academy of Agricultural Sciences Beijing 100081 PR China. State Environmental Protection Key Laboratory of Soil Health and Green Remediation Huazhong Agricultural University Wuhan 430070 PR China. Interdisciplinary Research Center for Territorial Spatial Governance and Green Development Huazhong Agricultural University Wuhan 430070 PR China. Institute of Plant Protection Soil and Fertilizer Sciences Hubei Academy of Agricultural Sciences Wuhan 430064 PR China. Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing 400714 PR China. Liaoning Academy of Agricultural Sciences Shenyang 110161 PR China. Institute of Soil & Fertilizer and Resources & Environment Jiangxi Academy of Agricultural Sciences Nanchang 330200 PR China. Hubei Provincial Engineering Research Center of Non-Point Source Pollution Control Innovation Academy for Precision Measurement Science and Technology Chinese Academy of Sciences Wuhan 430077 PR China. lzhang@***. Key Laboratory for Environment and Disaster Monitoring and Evaluation of Hubei Wuhan 430077 PR China. lzhang@***. University of Chinese Academy of Sciences Beijing 100049 PR China. lzhang@***.

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