[Pollution Characteristics and Source Apportionment of Heavy Metals in Topsoil of Counties Along the Shandong Section of the Yellow River].

Q2 Environmental Science 环境科学 Pub Date : 2024-09-08 DOI:10.13227/j.hjkx.202311031
Cong Hou, Shao-Kai Wang, Qi Wang, Chen-Xiao Hou, Wei-Cui Li, Cong Wang, Zhen-Hua Ma
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Abstract

The 25 counties along the Shandong section of the Yellow River are the core areas for promoting the ecological protection and high-quality development of the Yellow River in Shandong Province. Moreover, it is of great significance to study the current situation, sources, and potential risks of heavy metal pollution in the topsoil in this region. In this study, 103 soil samples were collected from the 25 counties along the Shandong section of the Yellow River, and the contents of eight heavy metals (As, Cu, Pb, Cr, Zn, Ni, Cd, and Hg) were determined. The pollution characteristics of heavy metals were analyzed and evaluated using the geological accumulation index and potential ecological risk index. Correlation analysis and the positive matrix factorization (PMF) model were used to analyze the sources of heavy metals. The results showed that the average contents of Cu and Cr were lower than that of the background values of soils, whereas the average contents of As, Pb, Zn, Ni, Cd, and Hg were 1.16, 1.42, 1.05, 1.14, 2.29, and 1.85 times higher than that of the background values, respectively, and the average contents of all eight elements were lower than the screening value of soil pollution risk in agricultural land. In terms of different heavy metal variations, the coefficient of variation (CV) of Cu and Cd was higher than 0.500, indicating high variations, whereas As, Pb, Cr, Zn, Ni, and Hg showed moderate variation. Cd and Hg were slightly polluted, whereas the other six elements were not polluted. Cd and Hg had a moderate potential ecological risk level, whereas the other six elements were at a low level. Correlation analysis and PMF model showed that the sources of heavy metals in the study area were influenced by four factors, i.e., agricultural activities, natural sources, industrial emissions, and atmospheric dust from coal combustion and vehicle exhaust emissions, and the relative contribution rates were 32.4%, 34.9%, 16.5%, and 16.2%, respectively.

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[黄河山东段沿岸县域表土重金属污染特征及来源分配]。
黄河山东段沿岸 25 个县是山东省推进黄河生态保护和高质量发展的核心区域。研究该区域表土重金属污染现状、来源及潜在风险具有重要意义。本研究在黄河山东段沿岸 25 个县采集了 103 个土壤样品,测定了八种重金属(砷、铜、铅、铬、锌、镍、镉和汞)的含量。测定。利用地质累积指数和潜在生态风险指数分析和评价了重金属的污染特征。采用相关分析和正矩阵因式分解(PMF)模型来分析重金属的来源。结果表明,铜和铬的平均含量低于土壤背景值,而砷、铅、锌、镍、镉和汞的平均含量分别是背景值的1.16倍、1.42倍、1.05倍、1.14倍、2.29倍和1.85倍,8种元素的平均含量均低于农田土壤污染风险筛选值。从不同重金属的变异情况来看,铜和镉的变异系数(CV)高于 0.500,表明变异较大,而 As、Pb、Cr、Zn、Ni 和 Hg 则表现为中等变异。镉和汞受到轻微污染,而其他六种元素未受到污染。镉和汞的潜在生态风险处于中等水平,而其他六种元素则处于较低水平。相关性分析和 PMF 模型显示,研究区域的重金属来源受四个因素的影响,即农业活动、自然来源、工业排放以及燃煤和汽车尾气排放产生的大气尘埃,其相对贡献率分别为 32.4%、34.9%、16.5% 和 16.2%。
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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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