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HERO ID
3198426
Reference Type
Journal Article
Title
A novel calibration approach of MODIS AOD data to predict PM2.5 concentrations
Author(s)
Lee, HJ; Liu, Y; Coull, BA; Schwartz, J; Koutrakis, P
Year
2011
Is Peer Reviewed?
Yes
Journal
Atmospheric Chemistry and Physics Discussions
ISSN:
1680-7367
EISSN:
1680-7375
Volume
11
Page Numbers
9769–9795
Language
English
DOI
10.5194/acpd-11-9769-2011
URL
http://www.atmos-chem-phys.net/11/7991/2011/acp-11-7991-2011-discussion.html
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1255185
A novel calibration approach of MODIS AOD data to predict PM2.5 concentrations
Abstract
Epidemiological studies investigating the human health effects of PM2.5 are susceptible to exposure measurement errors, a form of bias in exposure estimates, since they rely on data from a limited number of PM2.5 monitors within their study area. 5 Satellite data can be used to expand spatial coverage, potentially enhancing our ability to estimate location- or subject-specific exposures to PM2.5 , but some have reported poor predictive power. A new methodology was developed to calibrate aerosol optical depth (AOD) data obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS). Subsequently, this method was used to predict ground daily PM2.5 con- 10 centrations in the New England region. 2003 MODIS AOD data corresponding to the New England region were retrieved, and PM2.5 concentrations measured at 26 US Environmental Protection Agency (EPA) PM2.5 monitoring sites were used to calibrate the AOD data. A mixed effects model which allows day-to-day variability in daily PM2.5 - AOD relationships was used to predict location-specific PM2.5 levels. PM2.5 concentra-
15 tions measured at the monitoring sites were compared to those predicted for the corresponding grid cells. Both cross-sectional and longitudinal comparisons between the observed and predicted concentrations suggested that the proposed new calibration approach renders MODIS AOD data a potentially useful predictor of PM2.5 concentrations. Furthermore, the estimated PM2.5 levels within the study domain were examined 20 in relation to air pollution sources. Our approach made it possible to investigate the spatial patterns of PM2.5
concentrations within the study domain.
Tags
NAAQS
•
ISA-PM (2019)
1st Draft
Chapter 3
Chapter 9
Final ISA
Chapter 3
Chapter 9
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