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Characteristics of PM_(2.5) and Its Reactive Oxygen Species in Heating Energy Transition and Estimation of Its Impact on the Environment and Health in China——A Case Study in the fenwei plain

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Advances in Atmospheric Sciences 2023年第7期40卷 1175-1186页

作者： Zexuan WANG Hongmei XU Rong FENG Yunxuan GU Jian SUN Suixin LIU Ningning ZHANG Dan LI Tao WANG Linli QU Steven Sai Hang HO Zhenxing SHEN Junji CAO Department of Environmental Science and Engineering Xi’an Jiaotong UniversityXi’an 710049China State Key Laboratory of Loess and Quaternary Geology(SKLLQG) Key Lab of Aerosol Chemistry&PhysicsInstitute of Earth EnvironmentChinese Academy of SciencesXi’an 710061China Agricultural Technology&Extension Central of Xi'an City Xi’an 710061China Hong Kong Premium Services and Research Laboratory KowloonHong Kong Special Administrative Region(SAR)China Division of Atmospheric Sciences Desert Research InstituteRenoNV 89512United States

To reduce the adverse effects of traditional domestic solid fuel,the central government began implementing a clean heating policy in northern China in 2017.Clean coal is an alternative low-cost fuel for rural households at the present stage.In this study,18 households that used lump coal,biomass,and clean coal as the main fuel were selected to evaluate the benefits of clean heating transformation in Tongchuan,an energy city in the fenwei plain,China.Both indoor and personal exposure(PE)samples of fine particulate matter(PM_(2.5))were synchronically collected.Compared with the lump coal and biomass groups,the indoor PM_(2.5)concentration in the clean coal group is 43.6%and 20.0%lower,respectively,while the values are 16.8%and 21.3%lower,respectively,in the personal exposure samples.PM_(2.5)-bound elements Cd,Ni,Zn,and Mn strongly correlated with reactive oxygen species(ROS)levels in all fuel groups,indicating that transition metals are the principal components to generate oxidative stress.Using a reliable estimation method,it is predicted that after the substitution of clean coal as a household fuel,the all-cause,cardiovascular,and respiratory disease that causes female deaths per year could be reduced by 16,6,and 3,respectively,in the lump coal group,and 22,8,and 3,respectively,in the biomass group.Even though the promotion of clean coal has led to impressive environmental and health benefits,the efficiencies are still limited.More environmental-friendly energy sources must be promoted in the rural regions of China.

关键词： clean energy transition solid fuel combustion PM_(2.5) ROS fenwei plain

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Light absorption properties and potential sources of brown carbon in fenwei plain during winter 2018–2019

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Journal of Environmental Sciences 2021年第4期33卷 53-63页

作者： Wenyu Zhang Weigang Wang Jie Li Shuangliang Ma Chaofan Lian Kun Li Bo Shi Mingyuan Liu Yanyu Li QingQing Wang Yele Sun Shengrui Tong Maofa Ge State Key Laboratory for Structural Chemistry of Unstable and Stable Species Beijing National Laboratory for Molecular Sciences(BNLMS)Chemistry Academy of Sciences Research/Education Center for Excellence in Molecular SciencesInstitute of ChemistryChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Henan Environmental Monitoring Center Station Zhengzhou 450000China Laboratory of Atmospheric Chemistry Paul Scherrer Institute(PSI)Villigen 5232Switzerland Center for Excellence in Regional Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China Department of Clinical Research Central Hospital Affiliated to Shandong First Medical UniversityJinan 250013China

A distinctive kind of organic carbon aerosol that could absorb ultraviolet-visible radiation is called brown carbon(Br C),which has an important positive influence on radiative budget and climate change.In this work,we reported the absorption properties and potential source of Br C based on a seven-wavelength aethalometer in the winter of 2018–2019 at an urban site of Sanmenxia in fenwei plain in central China.Specifically,the mean value of Br C absorption coefficient was 59.6±36.0 Mm^(-1) at 370 nm and contributed 37.7%to total absorption,which made a significant impact on visibility and regional environment.Absorption coefficients of Br C showed double-peak pattern,and Br C had shown small fluctuations under haze days compared with clean days.As for the sources of Br C,Br C absorption coefficients expressed strong correlations with element carbon aerosols and primary organic carbon aerosols,indicating that most of Br C originated from primary emissions.The linear correlations between trace metal elements(K,As,Fe,Mn,Zn,and Pb)and Br C absorption coefficients further referred that the major sources of Br C were primary emissions,like coal burning,biomass burning,and vehicle emissions.The moderate relationship between Br C absorption coefficients and secondary organic aerosols suggested that secondary production of Br C also played an important role.The 120 hr backward air mass trajectories analysis and concentration-weighted trajectories analysis were also used to investigate potential sources of Br C in and around this area,which inferred most parts of Br C were derived from local emissions.

关键词： Brown carbon Light absorption Potential source analysis fenwei plain

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Characteristics of winter haze pollution in the fenwei plain and the influence mechanism

Characteristics of winter haze pollution in the Fenwei Plain...

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第二十五届大气污染防治技术研讨会

作者： Zhijun Zhao Shaw Chen Liu Run Liu Ziyin Zhang Yanzi Li Huisi Mo Yanxing Wu Institute for Environmental and Climate Research Jinan University Institute of Urban Meteorology China Meteorological Administration Shenzhen Academy of Environmental Sciences

During the past few years,winter haze pollution in the fenwei plain (FWP)region had obviously rebounded.In this study,we used quantitative and correlation analysis methods to analyze the temporal and spatial distribution and the influence of the meteorological and climatic factors on haze pollution in the FWP.Then,climatic factors were used to effectively predict the number of winter haze days (NHD) in the FWP based on the adjusted optimal subset model (AOSM).The results show that on the long-term changes,the winter haze pollution in the FWP from 1984-2017 showed an overall upward trend,especially increased more serious after 2000.On the interannual variability,the evolution of Eurasian teleconnections affected the changes of Siberian high and Aleutian low pressure and resulted in changes in wind speed at 850 hPa,boundary layer height and relative humidity in the lower troposphere,which affected the visibility.According to the best fit model,the average minimum contribution (CON) of climate and meteorological conditions to winter haze pollution was 24.3%from 1984–2016 and the modulating role increased significantly after 2010 (CON=55.8%).The explained variance (R) and mean absolute error (MAE) of the models for the entire winter were 88%and 3.54 days,respectively.For predictions in November,December,January,and February,the R was above 71%and the MAE was below 1.83 days;independent predictions in 2018 showed that the bias was five days lower than that for the entire winter.In addition,the results of recycling independent tests indicate that all models have excellent stability,proving that the climate factors chosen by AOSM do affect haze pollution in the FWP.

关键词： fenwei plain winter haze pollution climate and meteorological conditions adjusted optimal subset model（AOSM）

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