Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey, N.L., 64700, Mexico.
Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey, N.L., 64700, Mexico.
Environ Res. 2024 Dec 1;262(Pt 2):119937. doi: 10.1016/j.envres.2024.119937. Epub 2024 Sep 5.
The contamination of trace elements and heavy metal(loid)s in water bodies has emerged as a global environmental concern due to their high toxicity at low concentrations to both biota and humans. This study aimed to evaluate the ecological risk associated with the occurrence and spatial distribution of Mn, Fe, Co, Cd, Ni, Zn, Sb, As, Tl, Cu, Pb, U, and V in the heavily polluted waters of an important river-reservoir system (Atoyac River Basin) in central Mexico, using two-level tired probabilistic approaches: Risk Quotient based on Species Sensitivity Distribution (RQ) and Joint Probability Curves (JPCs). The concentrations of these elements varied widely, ranging from 0.055 μg L to 9200 μg L and from 0.056 μg L to 660 μg L, in both total and dissolved fractions, respectively. Although geogenic and anthropogenic sources contribute to the presence of these elements in waters, the discharge of untreated or poorly treated industrial wastewater is the main source of contamination. In this regard, the RQ results indicated high ecological risk for Mn, Fe, Co, Ni, Zn, and Sb, and medium or low ecological risk for As, Tl, U, and V at almost all sampling sites. The highest RQ values were found downstream of a large industrial corridor for Co, Zn, Tl, Pb, and V, with Tl, Pb, and V escalating to higher risk levels, highlighting the negative impact of industrial contamination on biota. The JPC results for these elements are consistent with the RQ approach, indicating an ecological risk to species from Mn, Fe, Co, Ni, Zn, and Sb in waters of the Atoyac River Basin. Therefore, the results of this study offer a thorough assessment of pollution risk, providing valuable insights for legislators on managing and mitigating exposure.
水体中微量元素和重金属(类金属)的污染已成为一个全球性的环境问题,因为它们在低浓度下对生物群和人类都具有很高的毒性。本研究旨在评估锰、铁、钴、镉、镍、锌、锑、砷、铊、铜、铅、铀和钒在墨西哥中部一个重要的河流-水库系统(阿特亚克河流域)的高污染水域中的发生和空间分布所带来的生态风险,使用两级疲劳概率方法:基于物种敏感性分布的风险商(RQ)和联合概率曲线(JPCs)。这些元素的浓度变化范围很广,总溶解态和溶解态分别在 0.055μg/L 到 9200μg/L 和 0.056μg/L 到 660μg/L 之间。尽管地球成因和人为来源都导致了这些元素在水中的存在,但未经处理或处理不当的工业废水的排放是污染的主要来源。在这方面,RQ 结果表明,在几乎所有采样点,Mn、Fe、Co、Ni、Zn 和 Sb 具有高生态风险,而 As、Tl、U 和 V 则具有中或低生态风险。在一个大型工业走廊下游,Co、Zn、Tl、Pb 和 V 的 RQ 值最高,其中 Tl、Pb 和 V 上升到更高的风险水平,突出了工业污染对生物群的负面影响。这些元素的 JPC 结果与 RQ 方法一致,表明阿特亚克河流域水中的 Mn、Fe、Co、Ni、Zn 和 Sb 对物种具有生态风险。因此,本研究的结果提供了对污染风险的全面评估,为立法者在管理和减轻暴露方面提供了有价值的见解。