Title | Distribution of atmospheric particulate matter (PM) in rural field, rural village and urban areas of northern China |
Authors | Li, 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 |
Affiliation | Peking 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. |
Keywords | Ambient 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 Date | 2014 |
Publisher | environmental pollution |
Citation | ENVIRONMENTAL POLLUTION.2014,185,134-140. |
Abstract | Atmospheric 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. |
URI | http://hdl.handle.net/20.500.11897/160563 |
ISSN | 0269-7491 |
DOI | 10.1016/j.envpol.2013.10.042 |
Indexed | SCI(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 |