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Journal ArticleDOI

Assessment of groundwater vulnerability mapping using AHP method in coastal watershed of shrimp farming area

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TLDR
In this paper, the authors evaluated the vulnerability of groundwater in a coastal watershed of shrimp farming areas using GIS-based weighted index overlay analysis technique to evaluate the distribution of groundwater vulnerability in the study area.
Abstract
Groundwater regions in coastal aquifers are highly vulnerable with increase in urbanization, industrialization and sea water intrusion. The present study attempts to evaluate the vulnerability of groundwater in a coastal watershed of shrimp farming areas. The study area is categorized in the GIS-based AHP environment into three ranges (high, medium, and low vulnerability) using various groundwater parameters such as electrical conductivity (EC), total dissolved solids (TDS), sodium percentage (Na%), total hardness (TH), revelle coefficient, sodium adsorption ratio (SAR), permeability index (PI), and residual sodium carbonate (RSC) and their recommended limits. GIS-based AHP weighted index overlay analysis technique has been proven to be a powerful tool to evaluate the distribution of groundwater vulnerability in the study area. The high vulnerable areas were noted in downstream with a strong contamination of the seawater intrusion along the coastal zone and in proximity of the river. Multivariate statistical techniques are also applied to identify and assess the groundwater vulnerability of the study area. The factor analysis revealed that groundwater quality is strongly affected by rock–water interaction, saline water intrusion, and anthropogenic activities. The spatial distribution map of factor-scores showed the gradual variation in groundwater geochemistry from the western part (upstream) to the eastern part (downstream) of the river. The results from the present study revealed that shrimp farming areas have very least or no impact on the groundwater of the region.

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Journal ArticleDOI

A review of GIS-integrated statistical techniques for groundwater quality evaluation and protection

TL;DR: In this article, the authors focus on applications of the time series modeling, multivariate statistical/geostatistical analyses, and artificial intelligence techniques used for groundwater quality evaluation and aquifer vulnerability assessment and provide an overview of salient groundwater quality indices developed over the years and employed for the assessment of groundwater quality across the globe.
Journal ArticleDOI

Impact of hydro-geological environment on availability of groundwater using analytical hierarchy process (AHP) and geospatial techniques: A study from the upper Kangsabati river basin

TL;DR: In this paper, the authors used the AHP model to delineate groundwater potential zones of the study region, seven hydro-geological factors, such as geology, lineament, slope, drainage, rainfall, soil and land use land cover, to assign proper weight of an individual factor based on its level of influence in the occurrence of groundwater.
Journal ArticleDOI

Evaluation of groundwater vulnerability to pollution using DRASTIC framework and GIS

TL;DR: In this paper, the authors evaluated groundwater vulnerability by applying the DRASTIC index as well as employ sensitivity analyses to evaluate the comparative prominent of the model parameters for groundwater vulnerability in Kerman plain in the southeastern part of Iran.
Journal ArticleDOI

Water quality assessment of lower Jhelum canal in Pakistan by using geographic information system (GIS)

TL;DR: In this article, an effort has been made to develop a method by integrating water quality index with geographic information system (GIS) for an effective interpretation of LJC water quality.
Journal ArticleDOI

A GIS-based modified DRASTIC approach for geospatial modeling of groundwater vulnerability and pollution risk mapping in Korba district, Central India

TL;DR: In this paper, an integrated modified DRASTIC and risk index model combined with other statistical techniques are applied to evaluate groundwater susceptibility and pollution risk in the region of Korba district, India.
References
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Book

Models, Methods, Concepts & Applications of the Analytic Hierarchy Process

TL;DR: In this article, the Seven Pillars of the AHP approach are used for the design and evaluation of a marketing-driven business and corporate strategy, and the case of the U.S. economy in 1992 is discussed.
Journal ArticleDOI

Assessment of seasonal and polluting effects on the quality of river water by exploratory data analysis

TL;DR: In this article, an ANOVA of the rotated principal components has demonstrated that mineral contents are seasonal and climate dependent, thus pointing to a natural origin for this polluting form and pollution by organic matter and nutrients originates from anthropogenic sources, mainly as municipal wastewater.
Journal ArticleDOI

Assessment of water quality index for the groundwater in Tumkur taluk, Karnataka State, India.

TL;DR: In this paper, the water quality index (WQI) for the groundwater of Tumkur taluk has been determined by collecting groundwater samples and subjecting the samples to a comprehensive physicochemical analysis.
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