[Source Apportionment and Pollution Risk Assessment of Heavy Metals in Sediments of Huixian Wetland Based on PMF and APCS-MLR Models].

Q2 Environmental Science
Tao Liu, Li-Na Shen, Shi Yu, Jin-Fu Qin
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引用次数: 0

Abstract

Based on the analysis of sediment samples from 14 sites in the Huixian Wetland, the content characteristics of eight heavy metals (Cu, Pb, Cd, Cr, Zn, Ni, Hg, and As) were investigated. The geoaccumulation index and potential ecological risk index were employed to assess the risks of these heavy metals. Correlation analysis, cluster analysis, absolute principal component scores-multiple linear regression (APCS-MLR), and positive matrix factorization (PMF) were used in combination to identify and quantify the pollution sources and their contributions. The results are as follows: ① The average concentrations of all eight heavy metals exceeded background values, with Cd surpassing the screening values specified in the Soil Environmental Quality - Risk Control Standard for Soil Contamination of Agricultural Land (GB 15618-2018). ② The geoaccumulation index evaluation indicated that Cd falls into the category of moderate pollution, Zn falls into the category of slight to moderate pollution, Hg, Ni, Cr, and Pb are categorized as slight pollution, and As and Cu are considered unpolluted. ③ The potential ecological risk index assessment revealed that Cd (245.91) poses a very high ecological risk, Hg (134.59) poses a high ecological risk, and other elements pose slight ecological risks. The mean comprehensive ecological risk index for the study area is 433.33, indicating a strong overall potential ecological risk. ④ APCS-MLR identified four pollution sources: agricultural sources, natural and agricultural sources, atmospheric deposition and domestic sources, and unidentified sources (transportation and agricultural sources), with contribution rates of 33.16%, 15.75%, 9.50%, and 41.59%, respectively. PMF identified three pollution sources: atmospheric deposition and domestic sources, natural and agricultural sources, and transportation and agricultural sources, with contribution rates of 21.92%, 35.24%, and 42.84%, respectively.

[基于PMF和APCS-MLR模型的辉县湿地沉积物重金属来源解析及污染风险评价]。
通过对惠县湿地14个站点沉积物样品的分析,探讨了8种重金属(Cu、Pb、Cd、Cr、Zn、Ni、Hg和As)的含量特征。采用地质累积指数和潜在生态风险指数对这些重金属进行了风险评价。采用相关分析、聚类分析、绝对主成分评分-多元线性回归(APCS-MLR)和正矩阵分解(PMF)相结合的方法对污染源及其贡献进行了识别和量化。结果表明:①8种重金属的平均浓度均超过背景值,其中Cd超过《土壤环境质量农用地土壤污染风险控制标准》(GB 15618-2018)规定的筛选值。②地积指数评价表明,Cd属中度污染,Zn属轻至中度污染,Hg、Ni、Cr、Pb属轻度污染,as、Cu属未污染。③潜在生态风险指数评价结果显示,Cd(245.91)具有极高生态风险,Hg(134.59)具有较高生态风险,其他元素具有轻微生态风险。研究区综合生态风险指数均值为433.33,整体潜在生态风险较强。④APCS-MLR识别出4个污染源:农业污染源、自然和农业污染源、大气沉积和家庭污染源、未识别污染源(交通和农业污染源),贡献率分别为33.16%、15.75%、9.50%和41.59%。PMF识别出大气沉降和生活源、自然和农业源、交通和农业源3个污染源,贡献率分别为21.92%、35.24%和42.84%。
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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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