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  • 标题:Characteristics and Source Analysis of Soil Heavy Metal Pollution in a Mining Area
  • 本地全文:下载
  • 作者:Haichan Yang ; Chunyu Dong ; Hao Zhang
  • 期刊名称:Journal of Geoscience and Environment Protection
  • 印刷版ISSN:2327-4336
  • 电子版ISSN:2327-4344
  • 出版年度:2022
  • 卷号:10
  • 期号:3
  • 页码:159-176
  • DOI:10.4236/gep.2022.103012
  • 语种:English
  • 出版社:Scientific Research Pub
  • 摘要:It is of great significance to study the degree and source of soil heavy metal pollution in geological high background value area for remediation of local contaminated soil. The 0 - 20 cm topsoil was taken around the mining area, and the contents of Pb, Zn, Ni, Cd, Hg, Cu and As in the soil were measured. Single-factor pollution index, Nemeiro comprehensive pollution index and potential ecological risk index were used to evaluate the degree of heavy metal pollution and ecological risk. Finally, multivariate statistical analysis was used to analyze the sources of soil heavy metals. The results show that the measured elements are polluted to different degrees, mainly due to the ecological environment problems caused by extensive mining development methods and inefficient utilization of resources. The key link is the release of pollutants at the source. Effectively blocking the release at the source can cut off the possibility of pollutants entering the food chain and the circulation of materials in the ecosystem. The results of potential ecological risk index showed that the potential ecological damage of seven heavy metals was ranked as follows: Cd (97.67) > Hg (68.97) > As (14.29) > Pb (11.55) > Ni (4.62) > Zn (1.61) > Cu (1.45) had a high ecological risk coefficient, and the potential comprehensive ecological risk index was 200.16 and the degree was medium. Principal component analysis shows that the sources of heavy metals are divided into Pb, Cd, As, Zn and Hg mainly from human activities such As mining, while Ni and Cu mainly come from soil parent materials, mining and agricultural activities.
  • 关键词:Soil Heavy MetalsPollution AssessmentEcological RiskSource Analysis
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