周蓓蓓, 郭江, 陈晓鹏, 杨强, 朱红艳, 段曼莉, 李晓晴, 周德华, 杨扬. 基于UNMIX模型的安徽大矾山废弃矿区土壤重金属源解析[J]. 农业工程学报, 2021, 37(24): 240-248. DOI: 10.11975/j.issn.1002-6819.2021.24.027
    引用本文: 周蓓蓓, 郭江, 陈晓鹏, 杨强, 朱红艳, 段曼莉, 李晓晴, 周德华, 杨扬. 基于UNMIX模型的安徽大矾山废弃矿区土壤重金属源解析[J]. 农业工程学报, 2021, 37(24): 240-248. DOI: 10.11975/j.issn.1002-6819.2021.24.027
    Zhou Beibei, Guo Jiang, Chen Xiaopeng, Yang Qiang, Zhu Hongyan, Duan Manli, Li Xiaoqing, Zhou Dehua, Yang Yang. Source apportionment of soil heavy metals in abandoned mining areas in Dafan Mountain of Anhui Province based on the UNMIX model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(24): 240-248. DOI: 10.11975/j.issn.1002-6819.2021.24.027
    Citation: Zhou Beibei, Guo Jiang, Chen Xiaopeng, Yang Qiang, Zhu Hongyan, Duan Manli, Li Xiaoqing, Zhou Dehua, Yang Yang. Source apportionment of soil heavy metals in abandoned mining areas in Dafan Mountain of Anhui Province based on the UNMIX model[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(24): 240-248. DOI: 10.11975/j.issn.1002-6819.2021.24.027

    基于UNMIX模型的安徽大矾山废弃矿区土壤重金属源解析

    Source apportionment of soil heavy metals in abandoned mining areas in Dafan Mountain of Anhui Province based on the UNMIX model

    • 摘要: 为了摸清安徽庐江废弃矿区土壤重金属含量及其来源情况,该研究通过区域网格布点划分,以大矾山为中心向周围扩散,最终确定50个典型特征点位,分析测定土壤重金属元素砷(As)、镉(Cd)、铜(Cu)、锰(Mn)、镍(Ni)含量,应用UNMIX模型进行土壤重金属源解析,并结合ArcGIS地统计模块中的普通克里金插值法分析土壤重金属空间分布,进一步验证源解析结果的准确性。结果表明:1)研究区0~10 cm和10~20 cm土壤中As、Cd、Cu、Mn和Ni含量的平均值分别为47.38、2.03、30.89、77.76、4.08 mg/kg和50.62、2.24、30.82、71.39、3.62 mg/kg。除Mn和Ni 外,As、Cd和Cu含量的平均值均高于当地背景值,10~20 cm 土层中As、Cd含量的中位值是土壤污染风险筛选值的1.28、7.17倍。2)研究区0~10 cm土层重金属的3大污染源,源1对Cu的贡献占主导作用,为铜矿业活动污染源,贡献率为5.75%;源2对Mn、Ni贡献率较高,为燃煤污染源,贡献率为49.86%;源3对As、Cd的贡献高于其他重金属,为岩石风化作用,贡献率分别为44.39%。3)研究区10~20 cm土层重金属2大污染源分别为土壤母质和垃圾堆放造成的混合源(源1)、淋滤作用和矿石开采及运输所导致的混合源(源2),其贡献率分别为47.46%、52.54%,其中土壤母质和垃圾堆放的混合源主要影响Mn和Ni,淋滤作用和矿石开采及运输的混合源对As、Cd和Cu的贡献率较高。4)根据研究区土地利用类型及人类活动形式,发现UNMIX受体模型和空间分析相结合能够全面地解析土壤重金属来源。该研究可为大矾山废弃矿区开展土壤重金属污染修复治理提供理论依据。

       

      Abstract: Abstract: This study aims to find out the content and source of heavy metals in the soil of the abandoned alum mining area in Lujiang County of Anhui Province, in China. A smart grid distribution was used to divide the research area into the 50 typical feature points with the center of Dafan Mountain. Five typical heavy metal elements (As, Cd, Cu, Mn, and Ni) were determined in the local soil. An UNMIX model was selected to apportion the potential sources and their contributions to soil heavy metals. A Kriging interpolation in the ArcGIS geo-statistical module was also utilized to determine the spatial distribution of soil heavy metals, further verifying the accuracy of the source analysis. The results showed that: 1) The average contents of As, Cd, Cu, Mn, and Ni were 47.38, 2.03, 30.89, 77.76, and 4.08 mg/kg in the 0-10 cm soil layer, and 50.62, 2.24, 30.82, 71.39, and 3.62 mg/kg in the 10-20 cm soil layer. The average contents of As, Cd, and Cu were all higher than the local background values. Specifically, the median contents of As and Cd were 1.28 and 7.17 times the risk screening value of soil pollution. 2) There were three major pollution sources of heavy metals in the 0-10 cm soil layer in the study area. Source 1 played a dominant role in Cu, indicating a traffic source with a contribution rate of 5.75%. There were higher contributions of Mn and Ni in Source 2, indicating the coal-burning source with a contribution rate of 49.86%. The contribution of Source 3 to As and Cd was higher than other metals. Source 3 was presented the weathering of rocks effects with a contribution rate of 44.39%. 3) There were two sources of heavy metals in the 10-20 cm soil, including the mixed sources of soil parent material and garbage (Source 1), as well as leaching, ore mining, and transportation (Source 2), where the contribution rates were 47.46% and 52.54%, respectively. 4) According to the land use types and human activities in the study area, the combination of receptor model and spatial analysis was used to comprehensively analyze the sources of heavy metals in the soil.

       

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