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工业集聚区多因素大尺度土壤重金属污染高风险区预测

Prediction of high-risk areas of soil heavy metal pollution with multiple factors on a large scale in industrial agglomeration areas.

作者信息

Liu Zhaoyue, Fei Yang, Shi Huading, Mo Li, Qi Jingxian

机构信息

Institute of Soil and Solid Waste Environment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.

Technical Centre for Soil, Agricultural and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.

出版信息

Sci Total Environ. 2022 Feb 20;808:151874. doi: 10.1016/j.scitotenv.2021.151874. Epub 2021 Nov 24.

Abstract

Heavy metals in soil are a great threat to ecosystems and human health. The rapid development of industrialization has created a serious risk of heavy metal pollution in soil. The study took the industrial-intensive Dahetan subbasin as the typical area. The factors and interactions that affected the distribution of soil heavy metals (Cd, Hg, As, Pb and Cr) in the typical area were explored based on the Geodetector model. The analysis results were extended to predict high-risk areas of heavy metal pollution in the soil in the Xiangjiang River basin. The results showed that Cd, As and Pb were significantly affected by local industrial and mining activities, and Hg and Cr were primarily affected by natural factors, such as pH and soil type. Compared to a single factor, the interaction between factors had a greater impact on the concentration of heavy metals. The high-risk areas of soil heavy metal pollution in the Xiangjiang River basin were primarily concentrated in the upper reaches and middle reaches.Significant overlapping of high-risk areas of multiple heavy metals occurred in the west, middle and south of the basin. The spatial visualization of the high-risk areas was realized, and the influence of several factors was integrated via layer superposition. This study proposes a new idea to predict the high-risk areas of soil pollution in large-scale areas to provide a reference for the regional prevention and control of soil pollution.

摘要

土壤中的重金属对生态系统和人类健康构成巨大威胁。工业化的快速发展造成了土壤重金属污染的严重风险。该研究以工业密集的大滩子流域为典型区域,基于地理探测器模型探究了影响该典型区域土壤重金属(镉、汞、砷、铅和铬)分布的因素及相互作用,并将分析结果推广至预测湘江流域土壤重金属污染的高风险区域。结果表明,镉、砷和铅受当地工矿活动影响显著,汞和铬主要受自然因素如pH值和土壤类型的影响。与单一因素相比,因素间的相互作用对重金属浓度的影响更大。湘江流域土壤重金属污染高风险区域主要集中在上游和中游,流域西部、中部和南部出现多种重金属高风险区域的显著重叠。实现了高风险区域的空间可视化,并通过图层叠加整合了多种因素的影响。本研究提出了一种预测大面积土壤污染高风险区域的新思路,为区域土壤污染防治提供参考。

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