2011
DOI: 10.5897/ajest11.134
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Groundwater quality mapping using geographic information system (GIS): A case study of Gulbarga City, Karnataka, India

Abstract: Spatial variations in ground water quality in the corporation area of Gulbarga City located in the northern part of Karnataka State, India, have been studied using geographic information system (GIS) technique. GIS, a tool which is used for storing, analyzing and displaying spatial data is also used for investigating ground water quality information. For this study, water samples were collected from 76 of the bore wells and open wells representing the entire corporation area. The water samples were analyzed fo… Show more

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Cited by 125 publications
(92 citation statements)
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“…The TDS in water is a general indicator of the overall suitability of water for many types of uses. High values of TDS influence the taste, hardness, and corrosive property of the water [13], [14]. Water with more than 1000mg/L of dissolved solids usually has a disagreeable taste and may have laxative effect or makes the water unsuitable in other respects.…”
Section: Resultsmentioning
confidence: 99%
“…The TDS in water is a general indicator of the overall suitability of water for many types of uses. High values of TDS influence the taste, hardness, and corrosive property of the water [13], [14]. Water with more than 1000mg/L of dissolved solids usually has a disagreeable taste and may have laxative effect or makes the water unsuitable in other respects.…”
Section: Resultsmentioning
confidence: 99%
“…The use of geographic information systems has proven to be an effective means of investigating spatial changes in water quality [7,15]. The spatial data support system, Arc View GIS, provides the tools to allow the seasonal mapping of temporal changes in water quality parameters [16].…”
Section: Methodsmentioning
confidence: 99%
“…Ground water quality has a major impact on human welfare and affects all human activity [7]. Understanding changes in ground water quality allows for effective management of water resources in the face of increasing pressures from urbanization, agricultural and industrial development [15].…”
Section: Introductionmentioning
confidence: 99%
“…The advantage of inverse distance weighting is that it is spontaneous and works well with evenly distributed points and it is sensitive to outliers. Unevenly distributed data clusters result in introduced errors (Balakrishnan et al, 2011). The basic equation for interpolation by inverse distance weighting at an un-sampled location is given by Equation 1 as described by Gunarathna et al (2016).…”
Section: Concentrations Of Fementioning
confidence: 99%