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1 September 2017 Estimating fine particulates less than 2.5 microns in aerodynamic diameter (PM2.5) in Northeastern China: a model approach
Xiaoli Wei, Runhe Shi, Wei Gao, Deying Zhang
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Proceedings Volume 10405, Remote Sensing and Modeling of Ecosystems for Sustainability XIV; 104050U (2017) https://doi.org/10.1117/12.2272937
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States
Abstract
Fine particulates less than 2.5 microns in aerodynamic diameter (PM2.5) has been widely considered to be one of the main pollutant threating human health. Ground-level PM2.5 monitoring can provide accurate point data, but its value is hard to scale up to large scale. In this respects, satellite data with large coverage areas and long term range, could enhance our ability to estimate PM2.5 concentration. In this study, a Multilinear correlation model (MLC) based on MODIS AOD level 2 data was developed to estimate PM2.5 concentration in Northeastern China from 2013-2016, then ground-level PM2.5 monitoring data from 15 stations covering study area were used for validation. Results showed that 1) the annual PM2.5 is 63.98μg/m2, AOD values agreed well with estimated PM2.5 concentration, 2) the spatial variations of PM2.5 were not clear, while the temporal dynamic of PM2.5 were observed, the highest values were observed in winter, opposite to what were observed in fall. 3) the MLC model coupled with meteorological data could improve the precision of PM2.5 estimations. Therefore, we suggest that the developed MLC model is useful for the PM2.5 estimations in northeastern China.
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Xiaoli Wei, Runhe Shi, Wei Gao, and Deying Zhang "Estimating fine particulates less than 2.5 microns in aerodynamic diameter (PM2.5) in Northeastern China: a model approach", Proc. SPIE 10405, Remote Sensing and Modeling of Ecosystems for Sustainability XIV, 104050U (1 September 2017); https://doi.org/10.1117/12.2272937
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KEYWORDS
Aerosols
Atmospheric particles
Atmospheric sensing
Clouds
MODIS
Remote sensing
Satellites
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