Assessment of groundwater quality status by using water quality index (WQI) and geographic information system (GIS) approaches: a case study of the Bokaro district, India

Verma, Poornima; Singh, Prasoon Kumar; Sinha, Rabindra Kumar; Tiwari, Ashwani Kumar

doi:10.1007/s13201-019-1088-4

Cited by 114 publications

(39 citation statements)

References 21 publications

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“…− , Cu, Ni, Pb, and Zn concentrations that resulted from anthropogenic activities (agriculture, house holding, and industry) [23,64]. Some studies on groundwater from Asia (Bokaro district, India) and Africa (Bonkoukou, Niger) indicated high values for the WQI (>150), showing inadequacy for drinking purposes or poor quality, due to the anthropogenic activities (agricultural waste, untreated domestic waters), but also due to natural processes (rock weathering, intrusion of sea water) [65][66][67][68]. In Europe, studies on karstic waters in the Megara basin, Greece indicated generally good water quality (WQI < 100) with few cases of poor water quality [5].…”

Section: Water Quality Indicesmentioning

confidence: 99%

Quality and Health Risk Assessment Associated with Water Consumption—A Case Study on Karstic Springs

Moldovan

Hoaghia

Kovács

et al. 2020

Water

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In rural areas without centralized water supply systems, inhabitants often use groundwater of unknown quality as drinking water, without understanding the possible negative consequences on their health. Karstic spring waters from Dobrogea region in Romania were assessed for their potential to be used as drinking water source, according to their quality and seasonal variation. The physico-chemical parameters of waters were compared with the guideline values for drinking water established by the World Health Organization and the Directive 98/83/EC. The nitrate and Cr concentrations exceeded the guideline value in the springs from Southern Dobrogea, but met the quality criteria in those from Northern Dobrogea, thus, to be used as drinking water, the karstic springs located in Southern Dobrogea require treatment for nitrates removal. Heavy metals pollution indices showed low to medium cumulative heavy metal pollution in all springs, while the human health risk assessment by oral exposure indicated possible noncarcinogenic risks of nitrates, both for adults and children in springs from South Dobrogea. A rigorous monitoring of the water quality before human consumption is recommended for all four studied water sources.

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Section: Water Quality Indicesmentioning

confidence: 99%

Quality and Health Risk Assessment Associated with Water Consumption—A Case Study on Karstic Springs

Moldovan

Hoaghia

Kovács

et al. 2020

Water

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“…This technique is used to decrease the large amount of water quality parameters in a single numerical value to assess groundwater quality status. This method has been used in many groundwater analysis studies [35][36][37][38][39][40] In general, there are 3 main steps required to develop the WQI. These steps are assigning weights, calculating rating scale and aggregation of sub-indices to produce the final index.…”

Section: Groundwater Quality Indexmentioning

confidence: 99%

Evaluation of Groundwater Quality Using Groundwater Quality Index (GWQI) in Sharjah, UAE

et al. 2021

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The rapid growth in the world population resulted in an increase of the freshwater needs in many sectors. Groundwater is the most important freshwater source specially for arid and semi-arid regions due to lack of surface water sources and low precipitation rates in those regions. In this study, monthly groundwater quality data were collected from eleven well fields in Sharjah over the period of 2004-2017. Water quality parameters including bicarbonate, calcium, chloride, fluoride, magnesium, sodium and sulphate were selected for the analysis. In the study, water quality index (WQI) process is used to develop groundwater quality index (GWQI) for Sharjah using above mentioned water quality parameters. Mann-Kendall and Spearman’s Rho tests were adopted as non-parametric trend tests for temporal (trend) analysis of GWQI, whereas inverse distance weighting interpolation was used in GWQI spatial trend analysis. Temporal trend analysis results showed significant trends in 8 out of 11 well fields. Spatial analysis showed the highest values for salinity ions in the well fields closest to the northern region, whereas the lowest values were detected in the southern region.

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“…Verma et al [12] assessed the suitability of groundwater for potable purpose by the human beings by considering groundwater samples with twelve physical and chemical parameters that are T-hard, TDS, pH, calcium and Magnesium etc., collected during two seasons pre monsoon and post monsoon in the year 2014-2015 from Bokaro district, Jharkhand State, India. The Geographic information system based on water quality index model implemented to ascertain the groundwater quality.…”

Section: Literature Surveymentioning

confidence: 99%

Classification of Groundwater by Applying Simplified Fuzzy Adaptive Resonance Theory

Kiran¹,

Chaparala²,

Radhika³

2021

IJDNE

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Groundwater quality assessment is primarily intended to determine whether the water in a particular area can be used for aquatic purpose or not. The assessment comprises analysis of physical, chemical and microbiological characteristics of groundwater samples. The quality of groundwater can be evaluated through few standard conventional methods viz. Water Quality Index, Canadian Council of Ministries Environmental Water Quality Index and Weighted Arithmetic Water Quality Index etc. In addition to the conventional methods, multivariate statistical methods like Principal Component Analysis, Factor Analysis and Cluster Analysis can also be used to assess the groundwater quality. As these methods are descriptive models, they are inadequate to predict the quality of unknown groundwater sample. Hence, an efficient predictive model is desirable to analyze the characteristic parameters of groundwater samples and predict the quality of an unknown sample. The sample may have both crisp and fuzzy values. Conventional supervised learning methods may not be suitable for constructing the required prediction model as they are not suitable for handling fuzzy input data. Therefore, simplified fuzzy adaptive resonance theory model is an appropriate choice for accomplishing the task of building the prediction model. The present work proposes to assess the quality of groundwater by applying the Weighted Arithmetic Water Quality Index method and Simplified Fuzzy Adaptive Resonance Theory model by considering 7 groundwater quality parameters. The accuracy of afore mentioned approach seems to be pleasing when compared to counter parts like Back propagation and Random Forests classifiers.

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Assessment of groundwater quality status by using water quality index (WQI) and geographic information system (GIS) approaches: a case study of the Bokaro district, India

Abstract: One hundred two groundwater samples were collected from the Bokaro district of Jharkhand state, India, during the pre-and post-monsoon seasons of the year 2014-2015. In the present study, groundwater samples were analysed for pH, TDS, TH,

Cited by 114 publications

References 21 publications

Quality and Health Risk Assessment Associated with Water Consumption—A Case Study on Karstic Springs

Quality and Health Risk Assessment Associated with Water Consumption—A Case Study on Karstic Springs

Evaluation of Groundwater Quality Using Groundwater Quality Index (GWQI) in Sharjah, UAE

Classification of Groundwater by Applying Simplified Fuzzy Adaptive Resonance Theory

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