Journal
JOURNAL OF EXPOSURE ANALYSIS AND ENVIRONMENTAL EPIDEMIOLOGY
Volume 11, Issue 2, Pages 97-102Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/sj.jea.7500148
Keywords
particulate matter; PM10; regression model; relative humidity; visibility
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Lack of daily data on airborne particles has been a common problem in an air pollution research. To deal with this problem, a regression model was developed to estimate daily PM IO concentration using visibility in Bangkok from 1992 to 1997, based on 1092 visibility/PM IO pair- observations on low humidity days (humidity less than or equal to 76.5%). Visibility was significantly and inversely associated with PM10 (r =0.71), after adjusting for minimum temperature and winter indicator variable. The R-2 of the model was 0.51.
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