ASSESSMENT OF SATELLITE AEROSOL OPTICAL DEPTH TO ESTIMATE PARTICULATE MATTER DISTRIBUTION IN VALENCIA CITY

被引：0
|
作者：
Soledad Represa, Natacha [1 ,2 ]
Fernandez-Sarria, Alfonso [2 ]
Porta, Andres [1 ]
Palomar Vazquez, Jesus [2 ]
机构：
[1] UNLP, CONICET, Ctr Invest Medioambiente, La Plata, Buenos Aires, Argentina
[2] Univ Politecn Valencia, Dept Cartog Engn Geodesy & Photogrammetry, Geoenvironm Cartog & Remote Sensing Grp, Valencia, Spain
来源：
IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2018年
关键词：
AOD; particulate matter; MODIS; air quality; Valencia; PM2.5; POLLUTION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The estimation of exposure to PM10 and PM2.5 requires the knowledge of surface concentration at high temporal and spatial resolutions. In this paper, the relation between PM10 and PM.52 ground data and MODIS AOD satellite data has been evaluated to determine the concentration of particulate matter in Valencia, Spain. This was done using data from the Valencian Network of Surveillance and Control of Air Pollution and the scientific data set "Optical Depth Land and Ocean" from MODIS Terra and Aqua with 3km of spatial resolution. The linear regression model for PM10 provided a regression slope of 25.99 mu g.m(-3) and an interception of 12.07 mu g.m(-3) (RMSE = 8.61 mu g.m(-3)), while for PM2.5 the slope and interception were 26.87 mu g.m(-3) and 5.98 mu g.m(-3) (RMSE = 5.5 mu g.m(-3)).
引用
收藏
页码：9141 / 9144
页数：4
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