Composite Suitability Index (CSI) Method for Ground Water Potential Identification: A Case Study for Bangalore Urban and Rural District, Karnataka

Abstract

Usage of groundwater for domestic and industrial purposes poses a main intimidation to the rapidly depleting groundwater resources of India. The present work emphasizes the viability of remote sensing and geographic information system (GIS) applications in groundwater studies, especially in the identification of groundwater potential zones in Bangalore urban and rural districts, Karnataka, India, using composite suitability index (CSI) method. The CSI technique is used to determine the weights of different themes and their modules for recognizing the groundwater prospective zone. Each class or unit of every thematic layer was assigned a knowledge based ranking, depending on its significance. Then all thematic layers were overlaid through overlay process/method in Arc GIS environment. Five categories of groundwater potential zones, namely, good, good-moderate, moderate, moderate-poor and poor were identified and delineated. The obtained ground water potential zone map will be used to furtherance the urban and rural water supply plan in the Bangalore urban and rural areas.

Keywords: Groundwater potential identification, composite suitability index, GIS and remote sensing

Cite this Article

Revathy SS, Suresh Babu S, Raikar RV. Composite Suitability Index (CSI) Method for Ground Water Potential Identification: A Case Study for Bangalore Urban and Rural District, Karnataka. Journal of Remote Sensing & GIS. 2017; 8(3): 8–16p.