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中国土壤中痕量金属(类)的风险评估及驱动因素。

Risk assessment and driving factors of trace metal(loid)s in soils of China.

机构信息

Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China.

South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510300, China; Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou, 510300, China.

出版信息

Environ Pollut. 2022 Sep 15;309:119772. doi: 10.1016/j.envpol.2022.119772. Epub 2022 Jul 14.

Abstract

Recently, with the rapid development of China's economy, the pollution of trace metal(loid)s (TMs) in soils has become increasingly severe and attracted widespread attention. Based on 1,402 published papers from 2000 to 2021, this study aimed to analyze the pollution intensity, ecological risk and driving factors for eight TMs (As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn) in Chinese soils. Results showed that the average concentrations of eight TMs in Chinese soils all exceeded background values, and the pollution of Cd and Hg was the most serious. Based on Principal component analysis of pollution intensity and ecological risk, the priority control TMs were identified for the heavily polluted provinces. The results of Geo-detector model suggested that Urban development factors contributed most to the TM accumulation in Chinese soils. Further, spatial analysis using bivariate Moran's I indicated that industrial activities contributed most to soil TM accumulation in the middle and lower reaches of the Yangtze River, while soil TM pollution in the southwest and northwest provinces was mainly caused by mining and metal smelting. This study investigated the relationship between soil TM pollution and anthropogenic activities, thus providing a scientific basis for controlling soil TM pollution at a large-scale level.

摘要

近年来,随着中国经济的快速发展,土壤中痕量金属(TMs)的污染变得越来越严重,引起了广泛关注。本研究基于 2000 年至 2021 年发表的 1402 篇论文,旨在分析中国土壤中八种 TMs(As、Cd、Cr、Cu、Hg、Ni、Pb 和 Zn)的污染强度、生态风险及其驱动因素。结果表明,中国土壤中八种 TMs 的平均浓度均超过背景值,其中 Cd 和 Hg 的污染最为严重。基于污染强度和生态风险的主成分分析,确定了污染严重省份的优先控制 TMs。Geo-detector 模型结果表明,城市发展因素对中国土壤中 TM 的积累贡献最大。进一步的双变量 Moran's I 空间分析表明,工业活动对长江中下游地区土壤 TM 积累的贡献最大,而西南和西北地区土壤 TM 污染主要是由采矿和金属冶炼造成的。本研究探讨了土壤 TM 污染与人为活动之间的关系,为在大尺度上控制土壤 TM 污染提供了科学依据。

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