Concentration Distribution Mapping of Particulate Matter(PM10) and Sulphur Dioxide(SO2) for Air Quality Monitoring Using Remote Sensing and GIS
S Vanmathy
PG student, Department of Civil Engineering , Anna University Regional Campus Tirunelveli, India
G Devi
Assistant Professor, Department of Civil Engineering Anna University Regional Campus Tirunelveli, India
Receiving Date:
2016-06-11
Acceptance Date:
2016-07-04
Publication Date:
2016-08-25
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Abstract
Mapping of urban air pollution dispersion is very complex; recently Satellite image data present a wide applicability for air pollution studies. The research used the Landsat 7 ETM+ to determine the PM10 and SO2 concentration over an area of interest. The aim of this study is to present and apply the proposed algorithm derived from atmospheric correction concept to determine concentration of PM10 and SO2 over an area. Satellite and ground station data were correlated to select a best suited algorithm and it provide a good result of R2 =0.992 and 0.995 for PM and SO2 respectively. The results showed significant linear relationships between ground and satellite data and also indicated that satellite imagery was capable for mapping of the pollution parameters concentrations
Keywords:
Air pollution; PM10; SO2; algorithms; Ground data; Correlation: PM10 and SO2 Concentration map
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