Spatiotemporal Variations in Particulate Matter and Air Quality over China: National, Regional and Urban Scales

被引:14
作者
Luo, Hao [1 ,2 ,3 ]
Han, Yong [1 ,2 ]
Cheng, Xinghong [4 ]
Lu, Chunsong [3 ]
Wu, Yonghua [5 ]
机构
[1] Sun Yat Sen Univ, Sch Atmospher Sci, Guangdong Prov Key Lab Climate Change & Nat Disas, Zhuhai 519082, Peoples R China
[2] Sun Yat Sen Univ, Minist Educ, Key Lab Trop Atmosphere Ocean Syst, Zhuhai 519082, Peoples R China
[3] Nanjing Univ Informat Sci & Technol, Key Lab Aerosol Cloud Precipitat, China Meteorol Adm, Nanjing 210044, Peoples R China
[4] Chinese Acad Meteorol Sci, Beijing 100081, Peoples R China
[5] CUNY City Coll, CESSRST, NOAA, New York, NY 10031 USA
基金
美国国家科学基金会;
关键词
particulate matter; air quality; geographic regions; PM2.5 pollution process; wind; NORTH CHINA; SATELLITE MEASUREMENTS; SOURCE APPORTIONMENT; OPTICAL-PROPERTIES; RIVER DELTA; PM2.5; POLLUTION; TRANSPORT; HAZE; PM10;
D O I
10.3390/atmos12010043
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ambient exposure to particulate matter (PM) air pollution is known to have an adverse effect on public health worldwide. Rapid increase rates of economic and urbanization, industrial development, and environmental change in China have exacerbated the occurrence of air pollution. This study examines the temporal and spatial distribution of PM on national, regional and local scales in China during 2014-2016. The relationships between the PM2.5 concentration rising rate (PMRR) and meteorological parameters (wind speed and wind direction) are discussed. The dataset of Air Quality Index (AQI), PM10 (PM diameter < 10 mu m ) and PM2.5 (PM diameter < 2.5 mu m) were collected in 169, 369, and 367 cities in 2014, 2015, and 2016 over China, respectively. The results show that the air quality has been generally improved on the national scale, but deteriorated locally in areas such as the Feiwei Plain. The northwest China (NW) and Beijing-Tianjin-Hebei (BTH) regions are the worst areas of PM pollution, which are mainly manifested by the excessive PM10 caused by blowing dust in spring in NW and the intensive emissions of PM2.5 in winter in BTH. With the classified seven geographic regions, we demonstrate the significant spatial difference and seasonal variation of PM concentration and PM2.5/PM10 ratio, which indicate different emission sources. Furthermore, the dynamic analysis of the PM2.5 pollution process in 11 large urban cities shows dramatic effects of wind speed and wind direction on the PM2.5 loadings.
引用
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页数:19
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