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Monte Carlo simulation and delayed geochemical hazard revealed the contamination and risk of arsenic in natural water sources

Authors :
Huiji Liu
Chanjuan Kang
Jun Xie
Mengchang He
Wei Zeng
Chunye Lin
Wei Ouyang
Xitao Liu
Source :
Environment International, Vol 179, Iss , Pp 108164- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Due to its ubiquity and carcinogenicity, the geochemical behavior and health risks of arsenic (As) have been a research focus worldwide. A comprehensive investigation was conducted on the contamination and ecological and health risks of As in the Zijiang River (ZR)-a natural water source. The concentration ranges of As were separately 1.36–6.23 μg/L, 11.42–74.53 mg/kg, and 1.26–130.68 μg/L in surface waters (dissolved), sediments, and pore waters. The concentrations of As in the midstream pore waters and sediments were relatively high, which was related to mining, dam interception, and sediment resuspension. The Monte Carlo simulation results showed that the occurrence probability of As contamination and static risk in sediments was low, however, in the midstream, the secondary risk caused by the release of As should be given more consideration. In the sediments, the transformation paths and the dynamic risk of As were explored based on the delayed geochemical hazard model, showing that there was a probability of a potential burst of 26.47% − 55.88% in the sediments of the ZR. Although at the detected surface waters, the total risk of the noncarcinogenicity and carcinogenicity of As were low, overall adults have lower health risks than children, and As exposure in children should be of concern. This study complements the further understanding of the geochemical behavior of arsenic, which can be extended to other toxic metal(loid)s.

Details

Language :
English
ISSN :
01604120
Volume :
179
Issue :
108164-
Database :
Directory of Open Access Journals
Journal :
Environment International
Publication Type :
Academic Journal
Accession number :
edsdoj.fac04ff16d7841f3be3d3cd72f481884
Document Type :
article
Full Text :
https://doi.org/10.1016/j.envint.2023.108164