Spatial and Temporal Distribution of PM2.5 Pollution in China Based on MODIS
SUN Mengzhu
YANG Kun
YANG Yulian
WANG Jiasheng
Abstract：In recent years,the haze days show a significant growth trend in those metropolises in China.The formation of haze days has a directly connection with the PM2.5.Based on the monthly mean AOD data by the moderate resolution imaging spectrometer (MODIS) from 2013 to 2015,considering the meteorological factors such as boundary layer height,relative humidity,temperature,wind speed,and wind direction,the BP(error-back propagation) neural network model in different season was built,and the value of PM2.5 was estimated.Finally the temporal and spatial distribution of PM2.5 pollution in China was analyzed.The results showed that after the aerosol optical thickness (AOD) missing values are interpolated,the summer forecast model has the best effect (R=0.840 1),while the spring and autumn forecast model is not so good (R=0.602 5) and (R=0.589 9).The spatial distribution of PM2.5 was significant,especially the autumn,the spatial distribution in summer is lower due to the summer precipitation is rich,with high value mainly appeared in north China and northwest area,and the low value appeared in the west China and Hainan.The square of high value in north China and western of low value has a gradually increasing trend,the high value regin spreads to northwest area,and the low value regin spreads to the central area.
Keywords：MODISPM2.5AODBP neural network
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 53-58 )