chapter  6
14 Pages

GIS-Based Probabilistic Models as Spatial Prediction Tools for Mapping Regional Groundwater Potential

WithMadan Kumar Jha, Sasmita Sahoo, V. M. Chowdary, Niraj Kumar

Groundwater is a treasured earth's resource and today it constitutes a major and more dependable source of water supply across the world. This chapter demonstrates the efficacy of two geographic information system-based probabilistic models— frequency ratio and weight-of-evidence (WOE) —for the spatial prediction of groundwater potential in a river basin. A comparative evaluation of the probabilistic models used for the spatial prediction of groundwater potential was performed in terms of prediction accuracy. WOE model is recommended for the spatial prediction of groundwater potential in the study area as well as in the areas/regions having more or less-similar hydro-geologic settings. Mapping of groundwater potential using geospatial techniques can play a vital role in the identification of zones depicting spatial variation of probable groundwater occurrence in a catchment or basin. Visual interpretation was the main tool for the evaluation of groundwater potential zones for over two decades.