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Assessing Multi-Criteria Decision Analysis Models for Predicting Groundwater Quality in a River Basin of South India by Jenifer, M. Annie (author);Jha, Madan Kumar (author);Khatun, Amina (author) is a Environmental Science article available to read on EtoBox.

What is Assessing Multi-Criteria Decision Analysis Models for Predicting Groundwater Quality in a River Basin of South India about?

India is the largest consumer of groundwater in the world, and it suffers from a groundwater crisis due to the overexploitation of groundwater and the deterioration of its quality at an alarming rate. Rapid urbanization, a growing population, and mismanagement are major driving forces behind these groundwater issues. Thus, increasing problems of water scarcity and water-quality deterioration threaten the sustainability of the water supply. This necessitates the development of novel approaches to assess prevailing groundwater quality scenarios at a large scale, which can help protect this vital freshwater resource from contamination. In this study, for the first time, the effectiveness of three Geographical Information System (GIS)-based Multi-Criteria Decision Analysis (MCDA) models (i.e., ‘Unit Weight’, ‘Rank Sum’, and ‘Analytic Hierarchy Process’) was explored for predicting groundwater quality in a river basin of Southern India. The seasonal concentrations of groundwater quality parameters, viz., Cl−, TDS, TH, F−, NO3−-N, Na+, Mg2+, Ca2+, K+, and SO42−, were considered for generating their thematic layers. Each thematic layer was classified into suitable feature classes based on

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Author

Jenifer, M. Annie (author);Jha, Madan Kumar (author);Khatun, Amina (author)

Publisher

MDPI AG

Published

2021

Language

EN

Field

Environmental Science (Social Sciences)