Evaluation of heavy-metal contamination in groundwater using hydrogeochemical and multivariate statistical analyses

Chung, SY and Rajesh, R and Venkatramanan, S (2019) Evaluation of heavy-metal contamination in groundwater using hydrogeochemical and multivariate statistical analyses. [Book Chapter]

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Abstract

A combined method of contamination evaluation indices, multivariate statistical analysis, and geochemical modeling was applied to estimate the intensity and source of contamination in a confined aquifer of Samrak Park in the Nakdong River Basin, Korea. The mean concentrations of metals in the groundwater are, in the descending order, Sr2 2 2 = .96). Multivariate statistical analysis and contamination indices revealed that the quality of water was mainly affected by natural/geogenic processes with anthropogenic activities being a minor source. Geochemical modeling of PHREEQC showed that hematite (Fe2O3), goethite (FeO(OH)), gibbsite (Al(OH)3), rhodochrosite (MnCO3), and siderite (FeCO3) were oversaturated, and that alunite (KAl3(SO4)2(OH)6), hausmannite (Mn2O4), manganite (MnO(OH)), melanterite (FeSO4·H2O), pyrochroite (Mn(OH)2), and pyrolusite (MnO2) were undersaturated. The high contents of Fe and Mn in groundwater resulted from the weathering of silicate minerals in the host granitic rocks, and the geochemical processes of heavy metal species were mainly related with natural dissolution and precipitation.

Item Type:	Book Chapter
Publication:	GIS and Geostatistical Techniques for Groundwater Science
Publisher:	Elsevier
Additional Information:	The copyright for this article belongs to Elsevier.
Keywords:	Contamination evaluation indices; Multivariate statistical analysis; Natural and geogenic processes; Natural dissolution and precipitation; PHREEQC
Department/Centre:	Division of Mechanical Sciences > Civil Engineering
Date Deposited:	02 Dec 2022 09:14
Last Modified:	02 Dec 2022 09:14
URI:	https://eprints.iisc.ac.in/id/eprint/78179

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