Can MODIS AOD be employed to derive PM2.5 in Beijing-Tianjin-Hebei over China?

被引:83
|
作者
Ma, Xiaoyan [1 ]
Wang, Jianying [1 ]
Yu, Fangqun [2 ]
Jia, Hailing [1 ]
Hu, Yanan [1 ]
机构
[1] Nanjing Univ Informat Sci & Technol, Key Lab Meteorol Disaster,Minist Educ, Key Lab Aerosol Cloud Precipitat,China Meterol Ad, Joint Int Res Lab Climate & Environm Change,Colla, Nanjing, Jiangsu, Peoples R China
[2] SUNY Albany, Atmospher Sci Res Ctr, Albany, NY 12222 USA
基金
中国国家自然科学基金;
关键词
PM2.5; MODIS AOD; satellite retrieval; Cloud; Vertical profile; relative humidity; AEROSOL OPTICAL DEPTH; FINE PARTICULATE MATTER; AIR-POLLUTION; SATELLITE RETRIEVALS; EASTERN CHINA; LAND; ALGORITHM; THICKNESS; QUALITY; REGION;
D O I
10.1016/j.atmosres.2016.06.018
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The fine particular matter (PM) concentrations in China have increased considerably due to the rapid economic growth and urbanization in the last few decades, especially in the most populated and industrialized regions. Beijing-Tianjin-Hebei is one of the most polluted regions in China, so to monitor the PM2.5 concentrations over this region is quite critical for human health. By making use the new released hourly PM2.5 mass concentration from ground-based observations in Beijing-Tianjin-Hebei over China, and collocated MODIS level 2 AOD data from April 2014 to March 2015, we explored the relation between surface PM2.5 mass concentration and MODIS AOD and possibility to derive the surface PM2.5 from satellite retrieval in the region. Our study show that the relation strongly depend on the seasons due to distinct seasonal characteristics of PM2.5 and AOD, with a relatively better correlation in spring and summertime (correlation coefficient r ranging from 0.52 to 0.79) than autumn and wintertime (r can be low as to 0.23 in site Baoding). Our analysis gave evidence that worse relationship and/or smaller number of sample in wintertime is associated with the significantly high PM2.5 concentration and a lot of missing data occurring in MODIS AOD, implying that current MODIS AOD retrieval scheme does not work very well in highly polluted cases. The derived PM2.5 mass concentration from MODIS AOD in summertime can basically capture the major observed features of the time series and about 20% large bias of the derived values compared to the observation is expected to be reduced if longer time period data is available and used for analysis. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:250 / 256
页数:7
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