| 基于地理探测器的四川典型工业企业周边土壤重金属污染影响因素分析 |
| 摘要点击 242 全文点击 16 投稿时间：2024-05-11 修订日期：2024-07-01 |
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| 中文关键词 土壤 重金属 潜在生态风险 地理探测器 相关性分析 |
| 英文关键词 soil heavy metals potential ecological risk geographic detectors correlation analysis |
| 作者 | 单位 | E-mail | | 孙东越 | 中国环境监测总站, 北京 100012
国家环境保护环境监测质量控制重点实验室, 北京 100012 | sundongyue@cnemc.cn | | 姜晓旭 | 中国环境监测总站, 北京 100012
国家环境保护环境监测质量控制重点实验室, 北京 100012 | | | 周笑白 | 中国环境监测总站, 北京 100012
国家环境保护环境监测质量控制重点实验室, 北京 100012 | | | 杨楠 | 中国环境监测总站, 北京 100012
国家环境保护环境监测质量控制重点实验室, 北京 100012 | | | 封雪 | 中国环境监测总站, 北京 100012
国家环境保护环境监测质量控制重点实验室, 北京 100012 | fengxue@cnemc.cn |
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| 中文摘要 |
| 以四川省9家典型工业企业周边土壤为研究对象,采集并分析了工业企业周边25个表层土壤样品的重金属Cd、Hg、As、Pb、Cr、Cu、Ni和Zn含量.利用潜在生态风险评估法对土壤重金属潜在生态风险进行评价.基于地理探测器,选取距企业距离、与企业所在位置的相对高程差和企业行业类型等10个影响因素作为自变量,以重金属含量作为因变量开展分析,并运用相关性分析进一步验证.结果表明,研究区工业企业周边土壤以“中等”潜在风险为主,占比为40%,其他4种风险类型分别占8%~20%.Cd和Hg是研究区潜在生态风险的主要贡献指标.地理探测器结果表明,“距企业距离”对Cd、Pb和Zn的解释力最强；“行业类型”对As、Cr、Cu和Ni的解释力最强；“降雨量”对Hg的解释力最强.交互作用探测结果表明,各因子交互作用后,解释力均有提高,说明土壤重金属含量受多种影响因素复合影响.相关性验证结果表明,Cd、As、Pb和Zn之间存在显著相关性,说明4项重金属具有一定的同源性,与地理探测器结果基本一致,可对地理探测器结果进一步验证,使结果更准确可靠. |
| 英文摘要 |
| The surrounding soils of nine typical industrial enterprises in Sichuan Province were selected as the research objects. The contents of heavy metals Cd, Hg, As, Pb, Cr, Cu, Ni, and Zn in 25 surface soil samples around industrial enterprises were collected and analyzed. The potential ecological risk assessment method was used to evaluate the potential ecological risks of heavy metals in the soil. Based on the geographic detector, ten influencing factors, such as the distance from the enterprise, the relative elevation difference with the location of the enterprise, and the type of industry were selected as independent variables, and the analysis was conducted with the content of heavy metals as the dependent variable, and further verification was conducted using correlation analysis. The results showed that the soils around industrial enterprises in the study area were mainly characterized by “moderate” potential risks, accounting for 40%, whereas the other four risk types each accounted for 8% to 20%. Cd and Hg were the main contributing indicators to the potential ecological risk in the study area. The results of the geographic detector showed that “distance from the enterprise” had the strongest explanatory power for Cd, Pb, and Zn； “industry type” had the strongest explanatory power for As, Cr, Cu, and Ni； and “precipitation” had the strongest explanatory power for Hg. The results of interaction detection showed that after the interaction of each factor, the explanatory power was increased, indicating that the content of heavy metals in soil was affected by a compound of multiple influencing factors. The results of correlation verification showed that there were significant correlations between Cd, As, Pb, and Zn, indicating a certain homogeneity among the four heavy metals, which was basically consistent with the results of the geographic detector and could further validate the results of the geographic detector, making the results more accurate and reliable. |
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