Saibal Ghosh
Pollution and health risk assessment of mine tailings contaminated soils in India from toxic elements with statistical approaches
Ghosh, Saibal; Banerjee, Sonali; Prajapati, Jyoti; Mandal, Jajati; Mukherjee, Abhishek; Bhattacharyya, Pradip
Authors
Sonali Banerjee
Jyoti Prajapati
Jajati Mandal J.Mandal1@edu.salford.ac.uk
Abhishek Mukherjee
Pradip Bhattacharyya
Contributors
Dr Jajati Mandal J.Mandal2@salford.ac.uk
Researcher
Abstract
The rapid mining activities of mica mines in Giridih district, India, have led to toxic metal pollution of agricultural soil. This is a key concern for environmental risk and human health. 63 top soil samples were collected at a distance of 10 m (Zone 1), 50 m (Zone 2), and 100 m (Zone 3) from near 21 mica mines with agriculture fields. The mean concentration of total and bio-available toxic elements (TEs - Cr, Ni, Pb, Cu, Zn, and Cd) was higher in zone 1 across three zones. The Positive matrix factorization model (PMF) and Pearson Correlation analysis were used to identify waste mica soils with TEs. Based on PMF results, Ni, Cr, Cd, and Pb were the most promising pollutants and carried higher environmental risks than the other TEs. Using the self-organizing map (SOM), zone 1 was identified as a high-potential source of TEs. Soil quality indexes for TEs risk zone 1 were found to be higher across three zones. Based on the health risk index (HI), children are more adversely affected than adults. Monte Carlo simulations (MCS) model and sensitivity analysis of total carcinogenic risk (TCR), children were more affected by Cr and Ni than adults through ingestion exposure pathways. Finally, a geostatistical tool was developed to predict the spatial distribution patterns of TEs contributed by mica mines. In a probabilistic assessment of all populations, non-carcinogenic risks appeared to be negligible. The fact that there is a TCR can't be ignored, and children are more likely to develop it than adults. Mica mines with TEs contamination were found to be the most significant anthropogenic contributor to health risks based on source-oriented risk assessment.
Citation
Ghosh, S., Banerjee, S., Prajapati, J., Mandal, J., Mukherjee, A., & Bhattacharyya, P. (2023). Pollution and health risk assessment of mine tailings contaminated soils in India from toxic elements with statistical approaches. Chemosphere, 324, 138267. https://doi.org/10.1016/j.chemosphere.2023.138267
Journal Article Type | Article |
---|---|
Acceptance Date | Feb 26, 2023 |
Online Publication Date | Mar 3, 2023 |
Publication Date | 2023-05 |
Deposit Date | Sep 2, 2023 |
Journal | Chemosphere |
Print ISSN | 0045-6535 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 324 |
Pages | 138267 |
DOI | https://doi.org/10.1016/j.chemosphere.2023.138267 |
Keywords | General Medicine; General Chemistry; Environmental Chemistry; Environmental Engineering; Pollution; Health, Toxicology and Mutagenesis; Public Health, Environmental and Occupational Health |
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