TY - JOUR
T1 - Spatial scales of pollution from variable resolution satellite imaging
AU - Chudnovsky, Alexandra A.
AU - Kostinski, Alex
AU - Lyapustin, Alexei
AU - Koutrakis, Petros
N1 - Funding Information:
This research was supported by a post-doctoral fellowship from the Environment Health Fund (EHF), Jerusalem, Israel . This work was also made possible by USEPA grant RD 83479801 . Its contents are solely the responsibility of the grantee and do not necessarily represent the official views of the USEPA. Further, USEPA does not endorse the purchase of any commercial products or services mentioned in the publication. This work was also supported in part by the NSF Grant AGS-1119164 . Authors greatly appreciate important comments of Dr. Mike Wolfson and Dr. Joy E. Lawrence. We also thank Dr. Yujie Wang for the MODIS data processing. Authors are also grateful to Prof. Pandey, A. Lappi and K. Wollan of Michigan Technological University. The authors also wish to thank the anonymous reviewers for their constructive comments.
PY - 2013/1
Y1 - 2013/1
N2 - 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 PM 2.5 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.
AB - 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 PM 2.5 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.
KW - Aerosol optical depth
KW - Fine particulate matter
KW - High resolution aerosol retrieval
KW - Intra-urban pollution
KW - MAIAC
KW - MODIS
KW - Particulate matter
KW - Scales of pollution
KW - Variability AOD-PM correlation
UR - http://www.scopus.com/inward/record.url?scp=84866648903&partnerID=8YFLogxK
U2 - 10.1016/j.envpol.2012.08.016
DO - 10.1016/j.envpol.2012.08.016
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AN - SCOPUS:84866648903
SN - 0269-7491
VL - 172
SP - 131
EP - 138
JO - Environmental Pollution
JF - Environmental Pollution
ER -
