Groundwater quality assessment for drinking purpose in Gurugram district of Haryana, India

被引:0
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作者
Akash Tiwari
Manish Kumar
Swati Thakur
Syed Irtiza Majid
机构
[1] Central University of Haryana,Department of Geography, School of Basic Sciences
[2] Dyal Singh College,Department of Geography
[3] University of Delhi,undefined
关键词
Water quality index; IDW; Correlation; Factor analysis; GIS;
D O I
10.1007/s12517-023-11571-2
中图分类号
学科分类号
摘要
Groundwater is an important source of drinking water and irrigation. However, due to increased anthropogenic activities, its quantity and quality are gradually deteriorating over time. The current paper focuses on the evaluation of groundwater quality and its variability for drinking purpose in Gurugram district of Haryana. Geographical Information System based groundwater quality index (GWQI) is a cost-effective tool for the assessment of groundwater quality and its variability. Nine water quality parameters, i.e., sodium, potassium, magnesium, calcium, chloride, sulfate, nitrate, fluoride, and total dissolved solvent have been considered for quality assessment of pre-monsoonal season. Two GIS-based groundwater quality index maps GWQI-9 (for all the above mentioned parameters) and GWQI-4 (for the critical parameters whose concentrations exceeded the permissible limit) were produced. Subsequently, correlation analysis and factor analysis were performed to determine the degree of correlation and to identify the principal factor of contamination among all nine water quality parameters, respectively. Interpolated maps, concentration maps, and rank maps were developed for each parameter. Furthermore, the rank map was used to assign weight to each parameter. Based on rank and weight, the final GIS-based GWQI-9 and GWQI-4 were developed. Higher GWQI values reflect higher water quality. Overall, the north-eastern parts of the district have high water quality, while the western and northwestern periphery of Gurugram has low water quality. Except northern and north western region, most of region of Gurugram have poor water quality in terms of GWQI-4. It is possible to conclude that GIS-based GWQI could become a comprehensive approach for assessing surface or groundwater quality.
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