Deciphering water quality using WQI and GIS in Tummalapalle Uranium Mining area, Cuddapah Basin, India

Q2 Environmental Science
M. P. Kumar, K. Nagalakshmi, N. Jayaraju, T. L. Prasad, B. Lakshmanna
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引用次数: 4

Abstract

ABSTRACT This paper gives an insight into the assessment of water quality in and around the Tummalapalle Uranium deposit. A total of 19 groundwater samples were collected in the study area and the chemical parameters were analyzed by using ICP-MS. Data generated from ICP-MS were compared with the Bureau of Indian Standards (BIS) and noticed that some chemical elements viz., Na, Mg, Al, Ca, Mn, Fe, and U were present beyond the permissible limits. To know the inter-element relationship, the Correlation coefficient and T-Test were conducted to know the overall water quality at the respective stations. The Water Quality Index was computed. It is, thus observed that about 42% of the water samples fall under “very poor water quality category” and require proper treatment to use the groundwater for domestic needs. The results of Factor analysis demonstrate three factors are responsible for the poor quality of water in the study area. The spatial variation maps were generated in GIS environ deciphers the uneven distribution of elemental concentrations in the study area.
利用WQI和GIS对印度库达帕盆地图马拉帕勒铀矿区的水质进行解密
摘要本文深入了解了图马拉帕勒铀矿床及其周围的水质评估。研究区共采集了19个地下水样品,并采用ICP-MS对其化学参数进行了分析。将ICP-MS产生的数据与印度标准局(BIS)进行了比较,发现一些化学元素,即Na、Mg、Al、Ca、Mn、Fe和U的存在超出了允许的限度。为了了解元素间的关系,进行了相关系数和T检验,以了解各个站点的总体水质。计算了水质指数。因此,据观察,大约42%的水样属于“非常差的水质类别”,需要进行适当的处理才能将地下水用于生活需要。因子分析结果表明,研究区水质差的原因有三个。GIS环境下生成的空间变化图揭示了研究区元素浓度的不均匀分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Water Science
Water Science Environmental Science-Ecology
CiteScore
3.00
自引率
0.00%
发文量
12
审稿时长
18 weeks
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