TitleDistribution of atmospheric particulate matter (PM) in rural field, rural village and urban areas of northern China
AuthorsLi, Wei
Wang, Chen
Wang, Hongqijie
Chen, Jiwei
Yuan, Chenyi
Li, Tongchao
Wang, Wentao
Shen, Huizhong
Huang, Ye
Wang, Rong
Wang, Bin
Zhang, Yanyan
Chen, Han
Chen, Yuanchen
Tang, Jianhui
Wang, Xilong
Liu, Junfeng
Coveney, Raymond M., Jr.
Tao, Shu
AffiliationPeking Univ, Coll Urban & Environm Sci, Lab Earth Surface Proc, Beijing 100871, Peoples R China.
Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Shandong, Peoples R China.
Univ Missouri, Dept Geosci, Kansas City, MO 64110 USA.
KeywordsAmbient air
PM10
Rural
China
POLYCYCLIC AROMATIC-HYDROCARBONS
LUNG-CANCER RISK
AIR-POLLUTION
INHALATION EXPOSURE
SIZE DISTRIBUTION
EMISSION FACTORS
DUST EVENTS
HEALTH
PM2.5
PAHS
Issue Date2014
Publisherenvironmental pollution
CitationENVIRONMENTAL POLLUTION.2014,185,134-140.
AbstractAtmospheric PM10 were measured for 12 months at 18 sites along a 2500 km profile across northern China. Annual mean PM10 concentrations in urban, rural village, and rural field sites were 180 +/- 171, 182 +/- 154, and 128 +/- 89 mu g/m(3), respectively. The similarities in PM10 concentrations between urban and rural village sites suggest that strong localized emissions and severe contamination in rural residential areas are derived from solid fuels combustion in households. High PM10 concentrations in Wuwei and Taiyuan were caused by either sandstorms or industrial activities. Relatively low PM10 concentrations were observed in coastal areas of Dalian and Yantai. Particulate air pollution was much higher in winter and spring than in summer and fall. Multiple regression analysis indicates that 35% of the total variance can be attributed to sandstorms, precipitation and residential energy consumption. Over 40% of the measurements in both urban and rural village areas exceeded the national ambient air quality standard. (C) 2013 Elsevier Ltd. All rights reserved.
URIhttp://hdl.handle.net/20.500.11897/160563
ISSN0269-7491
DOI10.1016/j.envpol.2013.10.042
IndexedSCI(E)
EI
PubMed
Appears in Collections:城市与环境学院
地表过程分析与模拟教育部重点实验室

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