A novel methodological framework for risk zonation and source-sink response concerning heavy-metal contamination in agroecosystems

文献类型： 外文期刊

第一作者： Chen, Lian

作者： Chen, Lian;Tang, Cuiming;Luo, Guoqing;Wang, Zhenjiang;Lin, Sen;Zhong, Jianwu;Li, Zhiyi;Wang, Yuan;Zhou, Shenglu;Tang, Cuiming;Luo, Guoqing;Wang, Zhenjiang;Zhou, Shenglu;Tang, Cuiming

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关键词： GIS-DCMA; LISA; Assessment criteria; Risk zonation; Source-sink

期刊名称：SCIENCE OF THE TOTAL ENVIRONMENT （ 影响因子：9.8； 五年影响因子：9.6 ）

ISSN： 0048-9697

年卷期： 2023 年 868 卷

页码：

收录情况： SCI

摘要： The accurate identification of high-risk zones and risk source-sink responses for heavy-metal (HM) contamination of agroecosystems remains challenging due to involving multiple environmental media such as soils, dustfall, and crops and a wide range of evaluation criteria and constraints. This study established a novel evaluation model based on the integration of Geographical Information Systems (GIS) and multi-criteria decision analysis (MCDA) to assess agroecosystem risk in the Lihe River watershed, China. Bivariate local indicators of spatial association (LISA) were adopted to explore the spatial interaction of risk sources and sinks with outputs ranging from 0.0003 (no risk) to 0.83 (high risk). Areas with moderate, considerable, and high risk constituted 67.4 % of the total land area, and only 1.8 % of the area was classed as low risk. Central urban and eastern areas around Taihu Lake were risk accumu-lation regions that needed more remedial attention. Risk cluster zones in the central urban area involved significant source-sink response relationships with the spatial distribution of industries, whereas eastern zones were linked to ve-hicular traffic distribution, accounting for 27.5 % and 16.5 % of the total area, respectively. This study provides a new methodological framework for the assessment of environmental risk, risk zonation, and risk source-sink spatial inter-action in agroecosystems.

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