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Abstract
Environmental Modelling using G.I.S. - Modelling Migration of Pollutants using G.I.S.
S. Kumar
Lecturer,
Department of Civil Engg,
A.M.A.College of Engg, Vadamavandal,Tamilnadu-604410.
E-mail ID: kumarme@hotmail.com, kumarme@vsnl.net
Dr. K. Venugopal
Director,
Institute for Remote Sensing,
Anna Uty,Chennai-600025.
Phone: ( office): 04182-247226 ; (Resi):04112-269817
Abstract
Kanchipuram District, one of the 29 districts of TamilNadu is taken as the study area in this project. Since our selected concept of prediction can be applied for large regions, this district is quite enough to suit it. Kanchipuram district measuring 4,43,210 hectares, forms northern parts of TamilNadu. It falls with in the geographical co-ordinates latitude 12°14’00” – 13°02’00” and longitude 79° 31’30”-80°15’30”.Ground water resources underlying the ground surface in the district of Kanchipuram may be vulnerable to contamination. Contamination of these ground water resources could be prevented by development of accurate vulnerability models and appropriate recommendations for decreasing the potential impact of ground water contaminants being used/applied on the land surface. This study represents a portion of ongoing research, utilizing readily available data, to develop such a vulnerability model. More specifically, the purpose of this study is to test a vulnerability index equation, using cell-based Geographic Information System (GIS) analysis. The vulnerability index equation incorporates soil characteristics, hydrogeologic factors, depth to ground water, and extent of irrigation. The vulnerability index equation is calibrated to a subset of ground water analytical results. The spatial distribution of ground water vulnerability is then verified by measuring the spatial correlation of the vulnerability indices versus the detections of contaminants in ground water. Spatial representations of these results are produced to assist land use planners/ agriculturists in planning and regulating land use in the district without harming the quality of ground water resources.
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