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Evaluation of water quality near the Malanjhkhand copper mines, India, by use of multivariate analysis and a metal pollution index
Environmental Earth Sciences ( IF 2.8 ) Pub Date : 2020-05-27 , DOI: 10.1007/s12665-020-09002-6
Bably Prasad , Abhay Kumar Soni , Anusha Vishwakarma , Ratnesh Trivedi , Krishna Kant Kumar Singh

Sampling of groundwater and surface water at 33 sites near the Malanjhkhand copper mines in India indicated that elevated concentrations of Cu (15.01 mg/l) and Mn (9.040 mg/l) were locally present in water bodies near the mine sites. Multivariate statistical techniques including principal component analysis, cluster analysis and a Pearson correlation matrix were used to determine the relationships between different water quality parameters in water samples. Mining and associated activities were responsible for the different physico-chemical properties of ground and surface water. An assessment of the heavy metal pollution index (HPI) indicated that four surface water sampling points HPI exceeded the critical index value of 100, indicating that water had been contaminated due to discharges from the mines and that groundwater had been locally contaminated due to the infiltration of contaminated leachate from waste dumps.

中文翻译:

利用多元分析和金属污染指数评估印度Malanjhkhand铜矿附近的水质

在印度Malanjhkhand铜矿附近的33个地点进行的地下水和地表水采样表明,矿山附近的水体中局部存在较高浓度的Cu(15.01 mg / l)和Mn(9.040 mg / l)。采用多元统计技术,包括主成分分析,聚类分析和皮尔逊相关矩阵,来确定水样中不同水质参数之间的关系。采矿和相关活动是造成地下水和地表水不同物理化学特性的原因。对重金属污染指数(HPI)的评估表明,四个地表水采样点HPI超过了临界指数值100,
更新日期:2020-05-27
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