Effects of Human Activities on the Distribution Patterns and Health Risks of Sb, As, Hg, and Se in a Typical Urban River System of Southern China

IF 4.8 Q1 ENVIRONMENTAL SCIENCES
Chenqi Guo, Hongru Feng, Zechen Yu, Xuezhi Yang*, Tao Zeng, Shuang Song and Haiyan Zhang*, 
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Abstract

The anthropogenic input of heavy metals and metalloids (metal(loid)s) into aquatic environments is a global concern. Here, we investigated the spatial distributions and health risks of antimony (Sb), mercury (Hg), arsenic (As), and selenium (Se) and their associations with socioeconomic variables in the Qiantang River basin. In river water, Sb decreased from the southern tributaries to the northeastern mainstream, peaking at 25.3 μg L–1 near industrial zones, whereas As and Hg displayed a gradual increase in urban areas. Industrial and domestic wastewater contributed 86.5% of the total Sb flow in the river. Correlation analysis revealed that Sb concentrations in river water positively correlated with industrial wastewater emissions, while Hg, As, and Se were associated with variables such as population density. Structural equation models further indicated that industrial wastewater emissions directly affected Sb levels, while population density and energy consumption influenced Se levels. Monte Carlo simulations revealed low health risks (HI < 1, CR < 1 × 10–4), but compared to background areas, residents in urban areas experienced a 69.8% increase in noncarcinogenic risks, while those in industrial areas faced a 277% increase. These findings underscore the link between metal(loid) contamination and socioeconomic factors, providing data for managing metal(loid) contamination in urban river systems.

Abstract Image

重金属和类金属(metal(loid)s)在水生环境中的人为输入是一个全球关注的问题。在此,我们研究了钱塘江流域锑(Sb)、汞(Hg)、砷(As)和硒(Se)的空间分布和健康风险,以及它们与社会经济变量的关系。在江水中,锑从南部支流向东北部主流递减,在工业区附近达到 25.3 μg L-1 的峰值,而砷和汞则在城市地区逐渐增加。工业和生活废水占河流锑总流量的 86.5%。相关分析表明,河水中的锑浓度与工业废水排放量呈正相关,而汞、砷和硒则与人口密度等变量相关。结构方程模型进一步表明,工业废水排放直接影响锑的含量,而人口密度和能源消耗则影响硒的含量。蒙特卡罗模拟显示健康风险较低(HI < 1,CR < 1 × 10-4),但与背景地区相比,城市地区居民的非致癌风险增加了 69.8%,而工业地区居民的非致癌风险增加了 277%。这些发现强调了金属(loid)污染与社会经济因素之间的联系,为管理城市河流系统中的金属(loid)污染提供了数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
5.40
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