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Authors

Publication Date

2002

Keywords

DEM, Basement topography, Remote Sensing, GIS, Aquifer geometry, Water quality, Fence diagram and cross-sections

Abstract

In this study a systematic approach has been made for the analysis of Ken graben area by integrating the remote sensing data with the hydrologic data to study the subsurface geological and geomorphological details and to demonstrate the aquifer geometry, ground water quality in the region. The approach involves regional interpretation of geomorphological and structural features exposed at the surface and relating the same to the subsurface. The region has varying thickness of alluvium composed of alternating sand/kankar and clay strata deposited on an uneven basement. In the present study the geological, geomorphological and structural aspects of the terrain have been carried out using IRS LISS I/ II data. The subsurface features of importance in the ground water exploration such as buried channels have been identified. Efforts have been made to generate a digital elevation model of the subsurface topography with the help of depth to bedrock contours. This has facilitated identification of the areas with favourable aquifer disposition and subsurface geomorphic features that are potential sites for ground water development. Two different types of basement depressions are present in the study area, which affect aquifer geometry, ground water potential and quality. Digital elevation model (DEM) of the basement topography has been prepared by converting set of depth to bedrock contours to another set of contours. Variations in tone and texture associated with vegetation and geological features coupled with inferred ground water migration pattern in the study area have enabled the delineation of the brackish ground water pockets that are in close agreement with the field investigation. An overlay of the enhanced image on the digital terrain model of the basement has enabled an understanding of the exact subsurface geometry of the aquifers and their relationship to the surficial geomorphic features. Ground water hydrogeological status has been inferred from an integration of the information from structural, lithological and vegetational information, DEM along with available geologic, as well as topographic and hydrologic data.

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