globalchange  > 气候变化事实与影响
DOI: 10.1016/j.atmosenv.2014.12.066
Scopus记录号: 2-s2.0-84920932592
论文题名:
Source apportionment of air pollution exposures of rural Chinese women cooking with biomass fuels
作者: Huang W; , Baumgartner J; , Zhang Y; , Wang Y; , Schauer J; J
刊名: Atmospheric Environment
ISSN: 0168-2563
EISSN: 1573-515X
出版年: 2015
卷: 104
起始页码: 79
结束页码: 87
语种: 英语
英文关键词: Molecular marker ; Personal exposure ; PM2.5 ; Positive matrix factorization (PMF) ; Source apportionment
Scopus关键词: atmospheric pollution ; biofuel ; developing world ; epidemiology ; health impact ; health risk ; indoor air ; particulate matter ; pollution exposure ; rural area ; womens health ; China ; Yunnan
Scopus学科分类: Environmental Science: Water Science and Technology ; Earth and Planetary Sciences: Earth-Surface Processes ; Environmental Science: Environmental Chemistry
英文摘要: Particulate matter (PM) from different sources may differentially affect human health. Few studies have assessed the main sources of personal exposure to PM and their contributions among residents of developing countries, where pollution sources differ from those in higher-income settings. 116 daily (24-h) personal PM2.5 exposure samples were collected among 81 women cooking with biomass fuels in two villages in rural Yunnan, China. The PM samples were analyzed for mass and chemical composition, including water-soluble organic carbon (WSOC), black carbon (BC), and molecular markers. We found black carbon, n-alkanes and levoglucosan dominated the most abundant fractions of the total measured species and average personal PM2.5 exposure was higher in winter than that in summer in both villages. The composition data were then analyzed using a positive matrix factorization (PMF) receptor model to identify the main PM emission sources contributing to women's exposures and to assess their spatial (between villages) and seasonal variation in our study setting. The 6-factor solution provided reasonably stable profiles and was selected for further analysis. Our results show that rural Chinese women cooking with biomass fuels are exposed to a variety of sources. The identified factors include wood combustion (41.1%), a cooking source (35.6%), a mobile source (12.6%), plant waxes (6.7%), pyrolysis combustion (3.0%), and secondary organic aerosols (SOA; 1.0%). The mean source contributions of the mobile source, cooking source, and wood combustion factor to PM2.5 exposure were significantly different between women living in the two study villages, whereas the mean SOA, wood combustion, and plant waxes factors differed seasonally. There was no relationship between source contributions and questionnaire-based measurements of source-specific exposures, implying that the impacts of source contributions on exposure are affected by complex spatial, temporal and behavioral patterns that are difficult to quantify using questionnaire-based measurements. Epidemiologic studies, health risk assessments, and intervention programs would benefit from a better understanding of the sources impacting PM exposure among populations in developing countries. © 2014 Elsevier Ltd.
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/81950
Appears in Collections:气候变化事实与影响

Files in This Item:

There are no files associated with this item.


作者单位: College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China; Institute for Health and Social Policy, McGill University, Montreal, QC, Canada; Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, QC, Canada; Huairou Eco-Environmental Observatory, Chinese Academy of Sciences, Beijing, China; University of Wisconsin-Madison, Madison, WI, United States; Wisconsin State Laboratory of Hygiene, University of Wisconsin-Madison, Madison, WI, United States

Recommended Citation:
Huang W,, Baumgartner J,, Zhang Y,et al. Source apportionment of air pollution exposures of rural Chinese women cooking with biomass fuels[J]. Atmospheric Environment,2015-01-01,104
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Huang W]'s Articles
[, Baumgartner J]'s Articles
[, Zhang Y]'s Articles
百度学术
Similar articles in Baidu Scholar
[Huang W]'s Articles
[, Baumgartner J]'s Articles
[, Zhang Y]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Huang W]‘s Articles
[, Baumgartner J]‘s Articles
[, Zhang Y]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.