2014
DOI: 10.12944/cwe.9.3.35
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GIS-Based Evaluation of Water Quality Index of Groundwater Resources in West Bokaro coalfield, India

Abstract: Water Quality Index (WQI), a technique of rating water quality, is an effective tool to assess quality and ensure sustainable safe use of water for drinking. The present work is aimed to assess the groundwater quality of West Bokaro coalfield region for knowing the suitability of drinking purpose by calculating the WQI and using Geographical Information System (GIS) techniques. Thirty three groundwater samples were collected from dug wells during post-monsoon, 2012 for comprehensive physico-chemical analysis. … Show more

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Cited by 80 publications
(37 citation statements)
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“…In the second step, the relative weight (Wi) is computed by Eq. (2) using a weighted arithmetic index method given below [15,16] and the following steps [44][45][46][47]. where Wi is the relative weight, w i is the weight of each parameter physiochemical, and n is the number of parameters.…”
Section: Estimation Of Water Quality Index (Wqi)mentioning
confidence: 99%
“…In the second step, the relative weight (Wi) is computed by Eq. (2) using a weighted arithmetic index method given below [15,16] and the following steps [44][45][46][47]. where Wi is the relative weight, w i is the weight of each parameter physiochemical, and n is the number of parameters.…”
Section: Estimation Of Water Quality Index (Wqi)mentioning
confidence: 99%
“…Tiwari et al 11 reported in a study conducted for developing WQI for groundwater resources in West Bokaro coalfield, India that despite the coal mining and industry, an analysis of the chemistry of 33 dug wells samples indicated that 79% of groundwater samples found under excellent to good category and suitable for drinking purposes.…”
Section: Study Areamentioning
confidence: 99%
“…GIS-based groundwater quality index assessment has been carried out by many researchers, e.g., Noori et al (2014), Tiwari et al (2014), Selvam et al (2013), Magesh and Chandrasekar (2013), Ishaku et al (2012), Magesh et al (2012), Yue et al (2010), Reza and Singh (2010), etc. Babiker and Mohamed (2014) carried out GIS-based groundwater quality index assessment in Omdurman area of Central Sudan.…”
Section: Introductionmentioning
confidence: 99%