Impact of acid mine drainage on water quality in receiving watersheds and associated potential adverse effects

IF 7.8 2区 环境科学与生态学 Q1 ENGINEERING, CHEMICAL
Hao Wang , Guodong Chai , Heyun Yang , Kailong Li , Kai Chen , Yueyao Xue , Jiake Li , Zhe Wang , Chunbo Jiang , Huaien Li , Fan Yang , Yishan Lin , Dongqi Wang
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Abstract

Mining activities have emerged as an important source of heavy metals (HMs) pollution in receiving watersheds, yet the ecological risks of HMs are primarily assessed using index-based methods with metal concentrations, lacking toxicity evaluation from a molecular biological perspective. This study integrated geochemical assessments with toxicogenomics assays to comprehensively evaluate the HMs contamination in a receiving watershed (Wenyu River and Luo River) affected by acid mine drainage (AMD). Results showed that the average concentrations of six HMs (Fe, Mn, Zn, Cu, Pb, and Ni) in surface water samples exceeded the environmental quality standards in China, and the average concentration of Fe was 28.9 times higher than the regional background values. The concentrations of Mn, Zn, and Cu in sediments ranged in 736.7–1654.6, 123.4–789.2, and 27.4–1114.0 mg∙kg−1, respectively. Geochemical calculation showed that both surface water and sediments of the receiving watersheds were contaminated with HMs. Principal component analysis and cluster analysis suggested that Co, Zn, Cd, Cu, and Pb in sediments were likely of anthropogenic origin, whereas Cr, Ni, Mn, and As appeared to derive primarily from natural erosion processes. The highest toxicity level of 1.63 ± 0.09 as PELItotal was observed at sampling site W7 located downstream of the Wenyu River. Exposure to HMs pollution induced up-regulation of functional genes in yeast cells associated with chemical and oxidative stress pathways. This study provides a scientific basis for health risk assessment and the development of targeted mitigation strategies for HMs pollution in watersheds impacted by AMD.
酸性矿井排水对接收流域水质的影响及相关的潜在不利影响
采矿活动已成为接收流域重金属污染的重要来源,然而,对重金属生态风险的评估主要采用基于指数的金属浓度方法,缺乏从分子生物学角度进行毒性评估。本研究将地球化学评价与毒物基因组学分析相结合,综合评价了受酸性矿井水(AMD)影响的温玉河和罗河流域的HMs污染情况。结果表明:6种重金属(Fe、Mn、Zn、Cu、Pb和Ni)的平均浓度超过了中国地表水环境质量标准,其中Fe的平均浓度是区域背景值的28.9倍;沉积物中Mn、Zn和Cu的浓度分别为736.7 ~ 1654.6、123.4 ~ 789.2和27.4 ~ 1114.0 mg∙kg−1。地球化学计算表明,接收流域的地表水和沉积物均受到HMs的污染。主成分分析和聚类分析表明,沉积物中Co、Zn、Cd、Cu和Pb可能是人为来源,而Cr、Ni、Mn和As主要来自自然侵蚀过程。位于温玉河下游的W7采样点的PELItotal毒性最高,为1.63 ± 0.09。暴露于HMs污染诱导酵母细胞中与化学和氧化应激途径相关的功能基因上调。本研究为黄斑变性影响流域中有机污染物的健康风险评估和制定有针对性的缓解策略提供了科学依据。
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来源期刊
Process Safety and Environmental Protection
Process Safety and Environmental Protection 环境科学-工程:化工
CiteScore
11.40
自引率
15.40%
发文量
929
审稿时长
8.0 months
期刊介绍: The Process Safety and Environmental Protection (PSEP) journal is a leading international publication that focuses on the publication of high-quality, original research papers in the field of engineering, specifically those related to the safety of industrial processes and environmental protection. The journal encourages submissions that present new developments in safety and environmental aspects, particularly those that show how research findings can be applied in process engineering design and practice. PSEP is particularly interested in research that brings fresh perspectives to established engineering principles, identifies unsolved problems, or suggests directions for future research. The journal also values contributions that push the boundaries of traditional engineering and welcomes multidisciplinary papers. PSEP's articles are abstracted and indexed by a range of databases and services, which helps to ensure that the journal's research is accessible and recognized in the academic and professional communities. These databases include ANTE, Chemical Abstracts, Chemical Hazards in Industry, Current Contents, Elsevier Engineering Information database, Pascal Francis, Web of Science, Scopus, Engineering Information Database EnCompass LIT (Elsevier), and INSPEC. This wide coverage facilitates the dissemination of the journal's content to a global audience interested in process safety and environmental engineering.
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