Groundwater suitability analysis for drinking using GIS based fuzzy logic

In the last few decades, overexploitation and poor management of groundwater have exposed its resources to undue risk, which makes the assessment of groundwater quality and determining its suitability extremely crucial. The current study has been undertaken with an aim to analyze groundwater suitabi...

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Autores principales:	Santanu Mallik, Umesh Mishra, Niladri Paul
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Geostatistical analysis Ordinary kriging Principal Component Analysis Groundwater quality Fuzzy MCDM Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/698e3eae81eb498abbea037cd9252001
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spelling	oai:doaj.org-article:698e3eae81eb498abbea037cd92520012021-12-01T04:37:35ZGroundwater suitability analysis for drinking using GIS based fuzzy logic1470-160X10.1016/j.ecolind.2020.107179https://doaj.org/article/698e3eae81eb498abbea037cd92520012021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20311183https://doaj.org/toc/1470-160XIn the last few decades, overexploitation and poor management of groundwater have exposed its resources to undue risk, which makes the assessment of groundwater quality and determining its suitability extremely crucial. The current study has been undertaken with an aim to analyze groundwater suitability for drinking by utilizing fuzzy logic in the geographical Information System (GIS) platform. Water samples were analyzed for various physicochemical parameters collected from different sampling stations of the Agartala Municipality. Principal Component Analysis (PCA) and Ordinary kriging (OK) were used for variable reduction and mapping of the physicochemical parameters. The best fuzzy overlay operator for the groundwater suitability map was determined based on correlation coefficient values between water quality index map and suitability maps. The results of the correlation analysis show a high positive correlation between Cl− with EC (Electrical conductivity) and pH with HCO3−.The groundwater of the study area is mostly acidic, with elevated iron levels along with pockets of high nitrate concentration. Fuzzy GAMMA (0.9) overlay method was selected as the best overlay operation for suitability analysis. Suitability analysis results revealed that 24.6%, 28.6%, 46.7%, of the total surface area is unsuitable, moderately suitable, and suitable respectively. This study demonstrates the capability of fuzzy logic integrated with the GIS platform to determine the groundwater suitability for drinking. The proposed methodology can be exploited as a comprehensive tool for any other suitability analysis.Santanu MallikUmesh MishraNiladri PaulElsevierarticleGeostatistical analysisOrdinary krigingPrincipal Component AnalysisGroundwater qualityFuzzy MCDMEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107179- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Geostatistical analysis Ordinary kriging Principal Component Analysis Groundwater quality Fuzzy MCDM Ecology QH540-549.5
spellingShingle	Geostatistical analysis Ordinary kriging Principal Component Analysis Groundwater quality Fuzzy MCDM Ecology QH540-549.5 Santanu Mallik Umesh Mishra Niladri Paul Groundwater suitability analysis for drinking using GIS based fuzzy logic
description	In the last few decades, overexploitation and poor management of groundwater have exposed its resources to undue risk, which makes the assessment of groundwater quality and determining its suitability extremely crucial. The current study has been undertaken with an aim to analyze groundwater suitability for drinking by utilizing fuzzy logic in the geographical Information System (GIS) platform. Water samples were analyzed for various physicochemical parameters collected from different sampling stations of the Agartala Municipality. Principal Component Analysis (PCA) and Ordinary kriging (OK) were used for variable reduction and mapping of the physicochemical parameters. The best fuzzy overlay operator for the groundwater suitability map was determined based on correlation coefficient values between water quality index map and suitability maps. The results of the correlation analysis show a high positive correlation between Cl− with EC (Electrical conductivity) and pH with HCO3−.The groundwater of the study area is mostly acidic, with elevated iron levels along with pockets of high nitrate concentration. Fuzzy GAMMA (0.9) overlay method was selected as the best overlay operation for suitability analysis. Suitability analysis results revealed that 24.6%, 28.6%, 46.7%, of the total surface area is unsuitable, moderately suitable, and suitable respectively. This study demonstrates the capability of fuzzy logic integrated with the GIS platform to determine the groundwater suitability for drinking. The proposed methodology can be exploited as a comprehensive tool for any other suitability analysis.
format	article
author	Santanu Mallik Umesh Mishra Niladri Paul
author_facet	Santanu Mallik Umesh Mishra Niladri Paul
author_sort	Santanu Mallik
title	Groundwater suitability analysis for drinking using GIS based fuzzy logic
title_short	Groundwater suitability analysis for drinking using GIS based fuzzy logic
title_full	Groundwater suitability analysis for drinking using GIS based fuzzy logic
title_fullStr	Groundwater suitability analysis for drinking using GIS based fuzzy logic
title_full_unstemmed	Groundwater suitability analysis for drinking using GIS based fuzzy logic
title_sort	groundwater suitability analysis for drinking using gis based fuzzy logic
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/698e3eae81eb498abbea037cd9252001
work_keys_str_mv	AT santanumallik groundwatersuitabilityanalysisfordrinkingusinggisbasedfuzzylogic AT umeshmishra groundwatersuitabilityanalysisfordrinkingusinggisbasedfuzzylogic AT niladripaul groundwatersuitabilityanalysisfordrinkingusinggisbasedfuzzylogic
_version_	1718405847670849536

Groundwater suitability analysis for drinking using GIS based fuzzy logic

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