[Multiproxy Comprehensive Analysis for Source Apportionment and Pollution of Heavy Metals in Urban Drinking-water Source Soils from the Lanzhou Reach of the Yellow River].

Q2 Environmental Science 环境科学 Pub Date : 2024-11-08 DOI:10.13227/j.hjkx.202311243
Jun Li, Zhan-Dong Gao, Li-Bang Ma, Jing Ma, Ming Zhang, Xiao-Hong Ma, Fei Zang, Xu Li
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Abstract

To elucidate the pollution characteristics and sources of heavy metals in the soil of drinking water sources in urban areas of the Yellow River Basin, the soil in the water source areas for urban drinking water in the Lanzhou section of the Yellow River was selected as the research object. The content characteristics of heavy metals, including As, Cd, Cr, Hg, and Pb, were analyzed. The pollution degree of heavy metals was quantified systematically using the geo-accumulation index, contamination factor, pollution load index, and improved Nemerow comprehensive pollution index. Correlation-clustering analysis, the positive matrix factorization (PMF) model, and the absolute principal component scores-multiple linear regression (APCS-MLR) model were jointly applied to quantitatively analyze the pollution sources and their contribution rates of heavy metals. The results indicated that: ① The soil in the water source areas for urban drinking water in Lanzhou was alkaline, and, with the exception of Cr, the average content of heavy metals in the soil, including As, Cd, Hg, and Pb, exceeded the background values of soil in Gansu Province. Particularly, Hg and Pb exhibited significant spatial distribution variations, indicative of strong anthropogenic influences. ② The overall pollution level of the water source area soil was mild, with Hg identified as the primary pollutant and localized pollution observed for As and Pb, whereas Cd and Cr showed no substantial contamination. ③ The enrichment of heavy metals in the water source area soil was influenced by a combination of industrial, traffic, coal combustion, and natural sources. The PMF model identified 41.40% as industrial-traffic sources, 32.92% as coal combustion sources, and 25.68% as natural-industrial sources. The APCS-MLR model distinguished 36.36% as industrial-traffic sources, 22.32% as coal-industrial sources, and 41.31% as natural sources. These findings provide a scientific basis for ensuring the health of soil in the water source areas and the safety of drinking water in the urban area of Lanzhou.

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黄河兰州段城市饮用水源地土壤重金属污染的多指标综合分析[j]。
为阐明黄河流域城市饮用水源地土壤重金属污染特征及来源,以黄河兰州段城市饮用水源地土壤为研究对象。分析了As、Cd、Cr、Hg、Pb等重金属的含量特征。采用地积累指数、污染因子、污染负荷指数和改进的Nemerow综合污染指数对重金属污染程度进行了系统量化。采用相关聚类分析、正矩阵分解(PMF)模型和绝对主成分得分-多元线性回归(APCS-MLR)模型对重金属污染源及其贡献率进行了定量分析。结果表明:①兰州市城市饮用水水源区土壤呈碱性,除Cr外,As、Cd、Hg、Pb等重金属平均含量均超过甘肃省土壤背景值。特别是汞和铅的空间分布差异显著,表明人类活动的影响较大。②水源地土壤总体污染程度较轻,Hg为主要污染物,as、Pb为局部污染,Cd、Cr无明显污染。③水源区土壤重金属富集受工业、交通、煤炭燃烧和自然来源的综合影响。PMF模型确定41.40%为工业交通源,32.92%为燃煤源,25.68%为自然工业源。在APCS-MLR模型中,工业交通源占36.36%,煤工业源占22.32%,自然源占41.31%。研究结果为保障兰州市水源地土壤健康和城市饮用水安全提供了科学依据。
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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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