Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Modeling Groundwater Potential Zones for Sustainable Water Resource Management in Khyrasol Block, Birbhum District West Bengal India Using Remote Sensing and GIS Techniques

Version 1 : Received: 2 March 2021 / Approved: 4 March 2021 / Online: 4 March 2021 (14:10:08 CET)

How to cite: Das, S.; Chatterjee, S. Modeling Groundwater Potential Zones for Sustainable Water Resource Management in Khyrasol Block, Birbhum District West Bengal India Using Remote Sensing and GIS Techniques. Preprints 2021, 2021030163. https://doi.org/10.20944/preprints202103.0163.v1 Das, S.; Chatterjee, S. Modeling Groundwater Potential Zones for Sustainable Water Resource Management in Khyrasol Block, Birbhum District West Bengal India Using Remote Sensing and GIS Techniques. Preprints 2021, 2021030163. https://doi.org/10.20944/preprints202103.0163.v1

Abstract

Remote sensing and Geographical Information System (GIS) have played an important role in exploration and management of groundwater resources. In this study, we present modeling of groundwater potential zone in Khoyrasol block in Birbhum district, West Bengal by using remote sensing and GIS techniques. The objective of the study is to explore groundwater as well as surface water availability in different geomorphic units. Different thematic maps of geology, hydro-geomorphology, lineament, slope, land use/land cover (LULC), depth to water level and soil maps are prepared and groundwater potential zones are obtained by overlaying all thematic maps in terms of Weightage Index Overlay (WIO) method. All the thematic map classes have been assigned weightage according to their role in groundwater occurrence. Finally, groundwater potential zones are classified into four categories viz., excellent, good to medium, medium to poor and poor. The outcome of the present research work will help the local farmers, decision-maker, researchers and planners for exploration, monitoring, and management of groundwater resources for this study area.

Keywords

Remote sensing and Geographical Information System; hydro-geomorphology; Weightage Index Overlay; decision maker

Subject

Environmental and Earth Sciences, Atmospheric Science and Meteorology

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