Chemical composition and source apportionment of ambient, household, and personal exposures to PM2.5 in communities using biomass stoves in rural China

被引:57
|
作者
Lai, Alexandra M. [1 ]
Carter, Ellison [2 ]
Shan, Ming [3 ]
Ni, Kun [3 ]
Clark, Sierra [4 ,5 ]
Ezzati, Majid [6 ,7 ]
Wiedinmyer, Christine [8 ]
Yang, Xudong [3 ]
Baumgartner, Jill [4 ,5 ]
Schauer, James J. [1 ,9 ]
机构
[1] Univ Wisconsin, Environm Chem & Technol Program, Madison, WI 53706 USA
[2] Colorado State Univ, Dept Civil & Environm Engn, Ft Collins, CO 80523 USA
[3] Tsinghua Univ, Dept Bldg Sci, Beijing, Peoples R China
[4] McGill Univ, Dept Epidemiol Biostat & Occupat Hlth, Montreal, PQ, Canada
[5] McGill Univ, Inst Hlth & Social Policy, Montreal, PQ, Canada
[6] Imperial Coll London, Sch Publ Hlth, London, England
[7] Imperial Coll London, MRC PHE Ctr Environm & Hlth, London, England
[8] Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA
[9] Univ Wisconsin, Wisconsin State Lab Hyg, Madison, WI 53706 USA
关键词
Particulate matter; Household air pollution; China; Biomass burning; Chemical mass balance; Solid fuels; AIRBORNE PARTICULATE MATTER; AIR-POLLUTION EXPOSURES; FINE ORGANIC AEROSOL; DUTY DIESEL TRUCKS; SOLID-FUEL USE; SYSTEMIC INFLAMMATION; COOKING ACTIVITIES; EMISSION FACTORS; TIBETAN PLATEAU; RECEPTOR MODEL;
D O I
10.1016/j.scitotenv.2018.07.322
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Fine particulatematter (PM2.5) has health effects that may depend on its sources and chemical composition. Few studies have quantified the composition of personal and area PM2.5 in rural settings over the same time period. Yet, this information would shed important light on the sources influencing personal PM2.5 exposures. This study investigated the sources and chemical composition of 40 personal exposure, 40 household, and 36 ambient PM2.5 samples collected in the non-heating and heating seasons in rural southwestern China. Chemical analysis included black carbon (BC), water-soluble components (ions, organic carbon), elements, and organic tracers. Source apportionment was conducted using organic tracer concentrations in a Chemical Mass Balance model. Biomass burning was the largest identified PM2.5 source contributor to household (average, SD: 48 +/- 11%) and exposures (31 +/- 6%) in both seasons, and ambient PM2.5 in winter (20 +/- 4%). Food cooking also contributed to household and personal PM, reaching approximately half of the biomass contributions. Secondary inorganic aerosol was the major identified source in summertime ambient PM2.5 (32 +/- 14%), but was present in all samples (summer: 10 +/- 3% [household], 13 +/- 6% [exposures]; winter: 18 +/- 2% [ambient], 7 +/- 2% [household], 8 +/- 2% [exposures]). Dust concentrations and fractional contribution to total PM2.5 were higher in summer exposure samples (7 +/- 4%) than in ambient or household samples (6 +/- 1% and 2 +/- 1%, respectively). Indoor sources comprised up to one-fifth of ambient PM2.5, and outdoor sources (vehicles, secondary aerosols) contributed up to 15% of household PM2.5. While household sources were the main contributors to PM2.5 exposures in terms of mass, inorganic components of personal exposures differed from household samples. Based on these findings, health-focused initiatives to reduce harmful PM2.5 exposures may consider a coordinated approach to address both indoor and outdoor PM2.5 source contributors. (C) 2018 Published by Elsevier B.V.
引用
收藏
页码:309 / 319
页数:11
相关论文
共 50 条
  • [31] Seasonal variation of chemical composition and source apportionment of PM2.5 in Pune, India
    Ranjeeta D. Gawhane
    Pasumarthi Surya Prakasa Rao
    Krishnakant B. Budhavant
    Vinayak Waghmare
    Dhananjay C. Meshram
    Pramod D. Safai
    Environmental Science and Pollution Research, 2017, 24 : 21065 - 21072
  • [32] Chemical composition and source apportionment of PM2.5 in typical heavy industrial cities
    Qi, Chao-Nan
    Qi, Peng
    Zhang, Yi-Ling
    Zhongguo Huanjing Kexue/China Environmental Science, 2024, 44 (06): : 2994 - 3003
  • [33] Characteristics and source apportionment of PM2.5 in Jiaxing, China
    Zhipeng Zhao
    Sheng Lv
    Yihua Zhang
    Qianbiao Zhao
    Lin Shen
    Shi Xu
    Jianqiang Yu
    Jingwen Hou
    Chengyu Jin
    Environmental Science and Pollution Research, 2019, 26 : 7497 - 7511
  • [34] Source apportionment of PM2.5 and visibility in Jinan,China
    Mengtian Cheng
    Guiqian Tang
    Bo Lv
    Xingru Li
    Xinrui Wu
    Yiming Wang
    Yuesi Wang
    Journal of Environmental Sciences, 2021, (04) : 207 - 215
  • [35] Source apportionment of PM2.5 and visibility in Jinan, China
    Cheng, Mengtian
    Tang, Guiqian
    Lv, Bo
    Li, Xingru
    Wu, Xinrui
    Wang, Yiming
    Wang, Yuesi
    JOURNAL OF ENVIRONMENTAL SCIENCES, 2021, 102 : 207 - 215
  • [36] Characteristics and source apportionment of PM2.5 in Jiaxing, China
    Zhao, Zhipeng
    Lv, Sheng
    Zhang, Yihua
    Zhao, Qianbiao
    Shen, Lin
    Xu, Shi
    Yu, Jianqiang
    Hou, Jingwen
    Jin, Chengyu
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2019, 26 (08) : 7497 - 7511
  • [37] Characteristics of the chemical composition and source apportionment of PM2.5 for a one-year period in Wuhan, China
    Zhang, Xiaoyu
    Ji, Guixiang
    Peng, Xiaowu
    Kong, Lingya
    Zhao, Xin
    Ying, Rongrong
    Yin, Wenjun
    Xu, Tian
    Cheng, Juan
    Wang, Lin
    JOURNAL OF ATMOSPHERIC CHEMISTRY, 2022, 79 (02) : 101 - 115
  • [38] Source directional apportionment of ambient PM2.5 in urban and industrial sites at a megacity in China
    Liu, Baoshuang
    Li, Yafei
    Wang, Lu
    Bi, Xiaohui
    Dong, Haiyan
    Sun, Xiaoyun
    Xiao, Zhimei
    Zhang, Yufen
    Feng, Yinchang
    ATMOSPHERIC RESEARCH, 2020, 235
  • [39] The Oxidative Potential of Personal and Household PM2.5 in a Rural Setting in Southwestern China
    Brehmer, Collin
    Lai, Alexandra
    Clark, Sierra
    Shan, Ming
    Ni, Kun
    Ezzati, Majid
    Yang, Xudong
    Baumgartner, Jill
    Schauer, James J.
    Carter, Ellison
    ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2019, 53 (05) : 2788 - 2798
  • [40] Characteristics of the chemical composition and source apportionment of PM2.5 for a one-year period in Wuhan, China
    Xiaoyu Zhang
    Guixiang Ji
    Xiaowu Peng
    Lingya Kong
    Xin Zhao
    Rongrong Ying
    Wenjun Yin
    Tian Xu
    Juan Cheng
    Lin Wang
    Journal of Atmospheric Chemistry, 2022, 79 : 101 - 115