Mapping exposure to particulate pollution during severe haze episode using improved MODIS AOT-PM10 regression model with synoptic meteorology classification.

ABSTRACT: Severe smoke haze from biomass burning is frequently observed in Northern Thailand during dry months of February-April. Sparsely located monitoring stations operated in this vast mountainous region could not provide sufficient particulate matter (PM) data for exposure risk assessment. Satellite aerosol optical thickness (AOT) data could be used, but their reliable relationship with ground-based PM data should be first established. This study aimed to improve the regression model between PM10 and Moderate Resolution Imaging Spectroradiometer AOT with consideration of synoptic patterns to better assess the exposure risk in the area. Among four synoptic patterns, each representing the totality of meteorology governing Northern Thailand on a given day, most severe haze days belonged to pattern

SUBMITTER: Leelasakultum K 

PROVIDER: S-EPMC7067214 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature