Satellite and Ground Observations of Severe Air Pollution Episodes in the Winter of 2013 in Beijing, China

被引:22
作者
Li, Shenshen [1 ]
Ma, Zongwei [2 ]
Xiong, Xiaozhen [3 ]
Christiani, David C. [4 ]
Wang, Zhaoxi [4 ]
Liu, Yang [2 ]
机构
[1] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
[2] Emory Univ, Rollins Sch Publ Hlth, 1518 Clifton Rd NE, Atlanta, GA 30322 USA
[3] NOAA, Ctr Satellite Applicat & Res, 5830 Univ Res Ct, College Pk, MD 20740 USA
[4] Harvard Univ, TH Chan Sch Publ Hlth, 655 Huntington Ave, Boston, MA 02115 USA
基金
中国国家自然科学基金;
关键词
Smog; MODIS; Aerosol optical depth; PM2.5; HYSPLIT; LEVEL PM2.5 CONCENTRATIONS; AEROSOL OPTICAL DEPTH; PRODUCTS; CITIES; LAND; FOG;
D O I
10.4209/aaqr.2015.01.0057
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Beginning in early January 2013, Beijing experienced multiple prolonged and severe smog events that were characterized by very high levels of PM2.5, with peak daily PM2.5 over 400 mu g m(-3). With PM2.5 concentration contours created from ground observations and satellite remote sensing data, we describe the spatial and temporal characteristics of these episodes and further investigated the factors that contributed to these episodes. Our results indicated that these smog episodes affected a much larger geographic region, far beyond Beijing metropolitan area, corresponding to a total area of similar to 550,000 km(2) and similar to 180 million people. The extremely cold weather in December 2012 and regional pollution transport were likely the main causes of these severe PM pollutions. In addition to aggressive emission control measures for Beijing, coordinated regional policy must be put in place to achieve more blue-sky days. Although the configuration of the current ground monitoring network may be sufficient to record PM2.5 levels in urban centers, these monitors alone cannot fully characterize the spatial pattern and track the transport of air pollution on a regional scale. Satellite remote sensing data can provide valuable information to fill the gaps left by ground monitors to create a more comprehensive picture of PM2.5.
引用
收藏
页码:977 / 989
页数:13
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