Paper Details

Groundwater resources quantification is necessary for developing an efficient strategy for sustainablegroundwater management. Integration of Remote Sensing and Geographic Information System (GIS) technique withMulti-criteria Decision Analysis (MCDA) has a power fool tool for the assessment of groundwater resources at macroscale. The main aim of this study is to appraise the performance of two GIS based approaches, namely MCDA andprobabilistic modeling for groundwater prospecting. In MCDA, the thematic layers and their relevant features togroundwater prospect are extracted from Remote sensing and GIS and weightages were assigned using AnalyticalHierarchy process (AHP) scale. The thematic layers have been integrated in GIS environment to generate groundwaterprospect map. In probabilistic models, viz. frequency ratio (FR) and weight of evidence (WOE), were used. Theprobability values were calculated for each of the selected theme and groundwater prospect map has been generated byoverlay analysis using GIS by FR and WOE method. The Groundwater prospect maps thus obtained by two methodswere classified into five discrete groundwater prospect zones. These Groundwater prospect maps were verified usingavailable well yield data through receiver operating characteristic curve. The AHP technique is superior to theprobabilistic models. It is concluded that for more consistent results, the AHP technique is used for assessinggroundwater prospective in a region.

T. Hemalatha, G N Pradeep Kumar, “Multicriteria Decision Analysis and Probabilistic Modeling for Evaluation in Groundwater Prospects”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 8, pp. 188-205, August 2017.