Spatial scales of pollution from variable resolution satellite imaging

被引:94
作者
Chudnovsky, Alexandra A. [1 ]
Kostinski, Alex [2 ]
Lyapustin, Alexei [3 ]
Koutrakis, Petros [1 ]
机构
[1] Harvard Univ, Sch Publ Hlth, Dept Environm Hlth, Boston, MA 02115 USA
[2] Michigan Technol Univ, Dept Phys, Houghton, MI 49931 USA
[3] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
基金
美国国家科学基金会;
关键词
Aerosol optical depth; High resolution aerosol retrieval; Particulate matter; Scales of pollution; Intra-urban pollution; Variability AOD-PM2.5 correlation; Fine particulate matter; MODIS; MAIAC; RETRIEVAL;
D O I
10.1016/j.envpol.2012.08.016
中图分类号
X [环境科学、安全科学];
学科分类号
083001 [环境科学];
摘要
The Moderate Resolution Imaging Spectroradiometer (MODIS) provides daily global coverage, but the 10 km resolution of its aerosol optical depth (AOD) product is not adequate for studying spatial variability of aerosols in urban areas. Recently, a new Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm was developed for MODIS which provides AOD at 1 km resolution. Using MAIAC data, the relationship between MAIAC AOD and PM2.5 as measured by the EPA ground monitoring stations was investigated at varying spatial scales. Our analysis suggested that the correlation between PM2.5 and AOD decreased significantly as AOD resolution was degraded. This is so despite the intrinsic mismatch between PM2.5 ground level measurements and AOD vertically integrated measurements. Furthermore, the fine resolution results indicated spatial variability in particle concentration at a sub-10 km scale. Finally, this spatial variability of AOD within the urban domain was shown to depend on PM2.5 levels and wind speed. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:131 / 138
页数:8
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