Source identification of heavy metals in peri-urban agricultural soils of southeast China: An integrated approach
Source identification of heavy metals in peri-urban agricultural soils of southeast China: An integrated approach
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DOI：
10.1016/j.envpol.2018.02.070
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发表时间：
2018-06-01
影响因子：
8.9
通讯作者：
Holm, Peter E.
中科院分区：
文献类型：
--
作者：
Hu, Wenyou;Wang, Huifeng;Holm, Peter E.
人类活动特别是工农业生产的加剧导致重金属在我国城郊农业土壤中的累积，严重威胁着土壤环境质量和农产品安全。采用空间分析（SA）、Pb同位素比值分析（伊拉）、输入通量分析（IFA）和正矩阵因子分解（PMF）模型相结合的方法，对中国典型城郊农业土壤中重金属污染状况和来源进行了研究。表层土壤（0-20 cm）中Cd、As、Hg、Pb、Cu、Zn和Cr的平均含量分别为0.31、11.2、0.08、35.6、44.8、119.0和97.0 mg kg（-1），除Hg外，其余均超过当地土壤背景值。土壤重金属的空间分布特征表明，农业活动对土壤重金属的累积有重要影响。同位素比值分析表明，施肥沿着大气沉降是土壤重金属累积的主要来源。基于PMF模型，土壤中重金属的相对贡献率分别为30.8%、33.0%、25.4%和10.8%，人为活动对土壤重金属的贡献率明显高于自然来源。本研究为这一特殊的城市边缘地区的重金属源解析提供了一种可靠和稳健的方法，具有明显的应用潜力。(C)2018爱思唯尔有限公司版权所有
Intensive human activities, in particular agricultural and industrial production have led to heavy metal accumulation in the peri-urban agricultural soils of China threatening soil environmental quality and agricultural product security. A combination of spatial analysis (SA), Pb isotope ratio analysis (IRA), input fluxes analysis (IFA), and positive matrix factorization (PMF) model was successfully used to assess the status and sources of heavy metals in typical peri-urban agricultural soils from a rapidly developing region of China. Mean concentrations of Cd, As, Hg, Pb, Cu, Zn and Cr in surface soils (0-20 cm) were 0.31, 11.2, 0.08, 35.6, 44.8, 119.0 and 97.0 mg kg(-1), respectively, exceeding the local background levels except for Hg. Spatial distribution of heavy metals revealed that agricultural activities have significant influence on heavy metal accumulation in the surface soils. Isotope ratio analysis suggested that fertilization along with atmospheric deposition were the major sources of heavy metal accumulation in the soils. Based on the PMF model, the relative contribution rates of the heavy metals due to fertilizer application, atmospheric deposition, industrial emission, and soil parent materials were 30.8%, 33.0%, 25.4% and 10.8%, respectively, demonstrating that anthropogenic activities had significantly higher contribution than natural sources. This study provides a reliable and robust approach for heavy metals source apportionment in this particular peri-urban area with a clear potential for future application in other regions. (C) 2018 Elsevier Ltd. All rights reserved.