Arsenic-contaminated groundwater of the Western Banat (Pannonian basin): Hydrogeochemical appraisal, pollution source apportionment, and Monte Carlo simulation of source-specific health risks.

IF 2.5 4区 环境科学与生态学 Q3 ENGINEERING, ENVIRONMENTAL
Jelena Vesković, Sandra Bulatović, Slavica Ražić, Milica Lučić, Andrijana Miletić, Aleksandra Nastasović, Antonije Onjia
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引用次数: 0

Abstract

Due to rapid urbanization and industrial growth, groundwater globally is continuously deteriorating, posing significant health risks to humans. This study employed a comprehensive methodology to analyze groundwater in the Western Banat Plain (Serbia). Using Piper and Gibbs plots, hydrogeochemistry was assessed, while the entropy-weighted water quality index (EWQI) was used to evaluate groundwater quality. Pollution sources were identified using positive matrix factorization (PMF) accompanied by Pearson correlation and hierarchical cluster analysis, while Monte Carlo simulation assessed health risks associated with groundwater consumption. Results showed that groundwater, mainly Ca-Mg-HCO3 type, is mostly suitable for drinking. Geogenic pollution, agricultural activities, and sewage were major pollution sources. Consumption of contaminated groundwater poses serious non-carcinogenic and carcinogenic health risks. Additionally, arsenic from geogenic source was found to be the main health risks contributor, considering its worryingly elevated concentration, ranging up to 364 μg/L. These findings will be valuable for decision-makers and researchers in managing groundwater vulnerability. PRACTITIONER POINTS: Groundwater is severely contaminated with As in the northern part of the study area. The predominant hydrochemical type of groundwater in the area is Ca-Mg-HCO3. The PMF method apportioned three groundwater pollution sources. Monte Carlo identified rock dissolution as the primary health risk contributor. Health risks and mortality in the study area are positively correlated.

西巴纳特(潘诺尼亚盆地)受砷污染的地下水:水文地质化学评估、污染源划分和特定污染源健康风险的蒙特卡罗模拟。
由于快速的城市化和工业增长,全球地下水正在不断恶化,对人类健康构成了重大威胁。本研究采用综合方法分析了西巴纳特平原(塞尔维亚)的地下水。使用皮珀图和吉布斯图评估了水文地质化学,同时使用熵加权水质指数 (EWQI) 评估了地下水质量。利用正矩阵因式分解(PMF)以及皮尔逊相关性和分层聚类分析确定了污染源,而蒙特卡罗模拟则评估了与饮用地下水有关的健康风险。结果表明,以 Ca-Mg-HCO3 型为主的地下水大多适合饮用。地质污染、农业活动和污水是主要的污染源。饮用受污染的地下水会带来严重的非致癌和致癌健康风险。此外,来自地源的砷被认为是造成健康风险的主要因素,其浓度高达 364 微克/升,令人担忧。这些发现对决策者和研究人员管理地下水脆弱性很有价值。实践者观点:研究区域北部的地下水受到砷的严重污染。该地区地下水的主要水化学类型为 Ca-Mg-HCO3。PMF 方法确定了三种地下水污染源。Monte Carlo 确定岩石溶解是造成健康风险的主要因素。研究地区的健康风险与死亡率呈正相关。
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来源期刊
Water Environment Research
Water Environment Research 环境科学-工程:环境
CiteScore
6.30
自引率
0.00%
发文量
138
审稿时长
11 months
期刊介绍: Published since 1928, Water Environment Research (WER) is an international multidisciplinary water resource management journal for the dissemination of fundamental and applied research in all scientific and technical areas related to water quality and resource recovery. WER''s goal is to foster communication and interdisciplinary research between water sciences and related fields such as environmental toxicology, agriculture, public and occupational health, microbiology, and ecology. In addition to original research articles, short communications, case studies, reviews, and perspectives are encouraged.
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