[Multi-objective Identification Method for Influencing Factors of Soil Heavy Metal Content Change].

Q2 Environmental Science
Xiang-Nan Guan, Shi-Wei Dong, Yu Liu, Xin-Xin Zhang, Yu-Chun Pan, Chuang Lu
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引用次数: 0

Abstract

Identifying the influencing factors of soil heavy metal content changes is the basis for reducing or preventing soil heavy metal pollution. Taking an agricultural experimental field in Changping District of Beijing as an example, the heavy metal content changes in As, Cr, Cu, Ni, Pb, and Zn from 2012 to 2022 were firstly analyzed. Secondly, the influencing factors of the heavy metal content changes were detected based on the geographical detector at the single-target and multi-target levels, respectively. Finally, comparative experiments with the correlation analysis method and existing studies were set up to evaluate the effectiveness of the identification method of influencing factors developed in this study. The results showed that human activity factors have exacerbated the changes in soil heavy metal content in the study area as follows: ① At the single-target level, the land use type was the main influencing factor on the changes in Cr, Cu, and Zn contents, and the annual deposition flux influenced the changes in As. The results of the interaction detection showed that there was an enhancement effect among the factors, and the interaction of the human activity factors dominated for the factor identification. ② The results of the multi-target level detection covered the results of the single-target level detection, which could identify more influencing factors. The land use type affected the changes in Cu, Zn, Cr, Ni, and As, and the changes in As and Zn were influenced by the annual deposition fluxes. ③ The multi-target identification method coupled with geographical detector and principal component analysis could effectively identify the influencing factors of soil heavy metal content changes, which was much more effective than the single soil heavy metal correlation method. The developed multi-target identification method for influencing factors of heavy metal content changes can provide technical support for the regional pollution monitoring and macro-management of soil heavy metals.

[土壤重金属含量变化影响因素的多目标识别方法]。
明确土壤重金属含量变化的影响因素是减少或预防土壤重金属污染的基础。以北京市昌平区某农业试验田为例,首先分析了2012-2022年As、Cr、Cu、Ni、Pb、Zn的重金属含量变化情况。其次,基于地理探测器,分别从单目标和多目标层面检测了重金属含量变化的影响因素。最后,建立了相关分析方法与现有研究的对比实验,以评价本研究开发的影响因素识别方法的有效性。结果表明,人类活动因素加剧了研究区土壤重金属含量的变化,具体表现如下: ① 在单目标水平上,土地利用类型是影响铬、铜、锌含量变化的主要因素,年沉积通量影响砷含量的变化。交互作用检测结果表明,各因子之间存在增强效应,人类活动因子的交互作用在因子识别中占主导地位。多目标水平检测结果覆盖了单目标水平检测结果,可以识别出更多的影响因素。土地利用类型影响 Cu、Zn、Cr、Ni 和 As 的变化,As 和 Zn 的变化受年沉积通量的影响。多目标识别方法与地理检测器和主成分分析相结合,能有效识别土壤重金属含量变化的影响因素,比单一的土壤重金属相关方法更有效。所建立的重金属含量变化影响因素的多目标识别方法可为土壤重金属的区域污染监测和宏观管理提供技术支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Huanjing Kexue/Environmental Science
Huanjing Kexue/Environmental Science Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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