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典型行业再利用土壤重金属含量分布、来源解析及生态风险评价
摘要点击 798  全文点击 225  投稿时间:2023-03-09  修订日期:2023-05-31
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中文关键词  土壤  重金属  绝对主成分-多元线性回归(APCS-MLR)  正定矩阵因子分解模型(PMF)  地累积指数  潜在生态风险
英文关键词  soil  heavy metals  absolute factor analysis-multiple linear regression(APCS-MLR)  positive matrix factorization(PMF)  index of geo-accumulation  potential ecological risk
作者单位E-mail
沈城 上海市环境科学研究院国家环境保护城市土壤污染控制与修复工程技术中心, 上海 200233 shencheng@saes.sh.cn 
王文娟 华东理工大学资源与环境工程学院, 国家环境保护化工过程环境风险评价与控制重点实验室, 上海 200237  
沙晨燕 上海市环境科学研究院国家环境保护城市土壤污染控制与修复工程技术中心, 上海 200233  
谢雨晴 华东理工大学资源与环境工程学院, 国家环境保护化工过程环境风险评价与控制重点实验室, 上海 200237  
王敏 上海市环境科学研究院国家环境保护城市土壤污染控制与修复工程技术中心, 上海 200233  
吴健 上海市环境科学研究院国家环境保护城市土壤污染控制与修复工程技术中心, 上海 200233 wuj@saes.sh.cn 
中文摘要
      为深入探究典型行业再利用土壤重金属污染特征及生态风险状况,基于上海市嘉定区49个地块315个不同深度剖面土壤样品数据,采用地累积指数和潜在生态风险指数评估Cd、Pb、Cu、Zn、Ni、Hg和As这7种重金属含量特征和潜在生态风险程度,并利用源解析受体模型(APCS-MLR)和正定矩阵因子分解模型(PMF)解析其污染来源.结果表明:①研究区土壤中除As外,其余重金属均不同程度超过上海市土壤背景值,表层土壤中Cd、Pb、Cu、Zn、Ni和Hg含量分别是背景值的3.54、2.34、2.91、1.20、3.75和4.40倍;7种重金属含量随着土壤垂直剖面深度的增加逐渐降低,重金属在表层土壤中存在一定程度的富集,人类活动影响了重金属在土壤中的分布规律.②研究区内APCS-MLR和PMF两种受体模型均识别出土壤重金属4种主要来源,源1(Cu、Zn和Pb)为金属制品和汽车制造混合源,源2(Ni和Cd)为电镀企业来源,源3(Hg)主要为化工企业来源,源4(As)为自然源,两种受体模型结合运用,进一步提高源解析的精准度和可信度.③地累积指数由大到小表现为:Hg(1.54)>Ni(1.32)>Cd(1.21)>Cu(0.96)>Pb(0.64)>Zn(-0.33)>As(-1.02);潜在生态风险指数结果显示,研究区综合潜在生态风险指数RI值在32.50~4 910.97,均值为321.40,整体呈现较强潜在生态风险,再开发利用工业场地土壤中重金属Hg、Ni和Cd的污染值得进一步关注.
英文摘要
      To further explore the characteristics of heavy metal pollution and the ecological risk of typical industries in reclaimed soil, based on data from 315 different depth profiles of soil samples collected from 49 plots in Jiading District, Shanghai, the geo-accumulation index and potential ecological risk index were used to evaluate the contents and potential ecological risk of seven heavy metals, namely Cd, Pb, Cu, Zn, Ni, Hg, and As. The APCS-MLR receptor model and PMF positive matrix factorization model were employed to analyze the pollution sources. The results showed that:① except for As, the contents of other heavy metals in the soil of the study area exceeded the Shanghai soil background values to varying degrees. The contents of Cd, Pb, Cu, Zn, Ni, and Hg in the surface soil were 3.54, 2.34, 2.91, 1.20, 3.75, and 4.40 times the background values, respectively. The contents of heavy metals in the soil decreased with the increase in depth, and heavy metals were enriched to a certain extent in the surface soil, indicating that human activities had an impact on the distribution of heavy metals in the soil. ② The APCS-MLR and PMF receptor models identified four main sources of soil heavy metals in the study area. Source 1 (Cu, Zn, and Pb) was a mixture of metal products and automobile manufacturing, source 2 (Ni and Cd) was electroplating enterprises, source 3 (Hg) was mainly from chemical enterprises, and source 4 (As) was natural. The combined use of the two receptor models further improved the accuracy and credibility of source identification. ③ The geo-accumulation index in descending order was Hg(1.54)>Ni(1.32)>Cd(1.21)>Cu(0.96)>Pb(0.64)>Zn(-0.33)>As(-1.02). The potential ecological risk index showed that the comprehensive potential ecological risk index RI value in the study area ranged from 32.50 to 4 910.97, with a mean of 321.40, indicating a strong potential ecological risk. The pollution values of heavy metals Hg, Ni, and Cd in industrial site soil deserve further attention for re-development and utilization purposes.

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