Evaluation of toxic heavy metal concentration in aquifer system for groundwater system development using multivariate statistical techniques

Akhtar, Naseem and Flafel, Hamza Mohamed and Ezhani, Abduanaser A. Ali and Giuma, Algadah Abdussalam and Ismail, Aznan Fazli and Febriana, Asri and Wijaya, Dani and Anees, Mohd Talha and Hussain, Raed Sameeh Raja and Allzrag, Akrm Mohamed Masaud and Ahmed, Salman (2024) Evaluation of toxic heavy metal concentration in aquifer system for groundwater system development using multivariate statistical techniques. Global NEST Journal, 26 (3). 05788. ISSN 1790-7632, DOI https://doi.org/10.30955/gnj.005788.

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Official URL: https://doi.org/10.30955/gnj.005788

Abstract

Groundwater is a vital resource for human consumption. The study aimed to evaluate toxic metal concentrations in groundwater systems and determine pollutant sources using multivariate methods including cluster analysis (CA), principal factor analysis (PCA), and Pearson correlation coefficient (r). The results were compared with World Health Organization (WHO 2017) and Bureau of Indian Standard (BIS 2012) standards, indicating that Al concentration observed within prescribed values and other Cd, As, Zn, Pb, and Cu were less than the acceptable values, as well as the rest of Fe, Mn, and Ni levels in groundwater were mostly within acceptable values. The PCA results showed three factors (F1, F2, and F3) were responsible for the data structure, which was specified as 37.954%, 23.331%, and 16.132%, as well as total variance of dataset associated with 77.416%, respectively. Factor 1 showed strong positive loading (Cu, Pb, Zn), 2 (Al, Mn), and 3 (As, Ni), which demonstrated the contaminants source from natural and agricultural activities. Moreover, CA results revealed three clusters indicating low to high water pollution due to rock weathering and anthropogenic activities. Overall, results showed that 50% of groundwater samples were acceptable for potable and agricultural uses. Therefore, groundwater treatment is necessary before any use.

Item Type: Article
Funders: Nuclear Program Science, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia
Uncontrolled Keywords: Heavy metal concentrations; groundwater pollution; cluster analysis; principal factor analysis; and Pearson correlation coefficient
Subjects: Q Science > Q Science (General)
Q Science > QE Geology
Divisions: Faculty of Science > Department of Geology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 06 Jan 2025 01:19
Last Modified: 06 Jan 2025 01:19
URI: http://eprints.um.edu.my/id/eprint/47066

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