Spatio-Temporal Pattern Estimation of PM2.5 in Beijing-Tianjin-Hebei Region Based on MODIS AOD and Meteorological Data Using the Back Propagation Neural Network

Spatio-Temporal Pattern Estimation of PM2.5 in Beijing-Tianjin-Hebei Region Based on MODIS AOD and Meteorological Data Using the Back Propagation Neural Network

With the economic growth and increasing urbanization in the last three decades, the air quality over China has continuously degraded, which poses a great threat to human health. The concentration of fine particulate matter (PM2.5) directly affects the mortality of people living in the polluted areas...

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Bibliographic Details
Main Authors: Xiliang Ni, Chunxiang Cao, Yuke Zhou, Xianghui Cui, Ramesh P. Singh
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Atmosphere
Subjects:
aerosol optical depth
PM2.5
MODIS
air pollution
artificial neural network
Beijing-Tianjin-Hebei (BTH) region
back propagation neural network
Online Access:http://www.mdpi.com/2073-4433/9/3/105

Internet

http://www.mdpi.com/2073-4433/9/3/105

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