Ecological Risk Assessment and Source Apportionment of Heavy Metals in Mineral Resource Base Based on Soil Parent Materials

被引:3
作者
Wei X.-F. [1 ]
Sun Z.-J. [2 ]
Chen Z.-R. [3 ]
Wei H. [4 ]
Sun H.-Y. [2 ]
Uiu W. [5 ]
Fu D.-Q. [5 ]
机构
[1] Sino-Zijin Resources Co., Ltd., Beijing
[2] School of Earth Sciences and Resources, China University of Geosciences, Beijing
[3] Beijing Institute of Geology for Mineral Resources Co., Ltd., Beijing
[4] Hebei Key Laboratory of Strategic Critical Mineral Resources, Hebei GEO University, Shijiazhuang
[5] 514 Brigade of North China Geological Exploration Bureau, Chengde
来源
Huanjing Kexue/Environmental Science | 2023年 / 44卷 / 06期
关键词
distribution characteristics of pollution; heavy metals; mineral resource base; risk assessment; source analysis;
D O I
10.13227/j.hjkx.202206291
中图分类号
学科分类号
摘要
Mineral resource bases have dual properties, e. g., mineral resources and environmental pollution. The latter could be classified into natural and anthropogenic pollution based on identifying the spatial distribution characteristics and sources of heavy metals in the soil. The Hongqi vanadium titano-magnetite mineral resources base in Luanping County, Luanhe watershed, was taken as the research object. The geo-accumulation index (Igeo), Nemerow comprehensive pollution index (PN), and potential ecological risk (Ei) were utilized to assess the soil heavy metal pollution characteristics, and redundancy analysis (RDA) and positive determinate matrix factorization (PMF) were employed to identify sources of the soil heavy metals. The results revealed that the mean contents of Cr, Cu, and Ni in the parent material of medium-basic hornblende metamorphic rock and medium-basic gneisses metamorphic rock were 1-2 times that in other parent materials in the concentrated area of mineral resources. However, the mean contents of PI) and As were lower. Fluvial alluvial-proluvial parent materials had the highest mean content of Hg, and the mean content of Cd was higher in the parent materials of medium-basic gneisses metamorphic rocks, acid rhyolite volcanic rocks, and fluvial alluvial-proluvial fades. The Igeodecreased in the following order; Cd > Cu > Pb > Ni > Zn > Cr > Hg > As. PN ranged from 0. 61 to 18. 99, and the sample proportion of moderate and severe pollution reached 10. 00% and 8. 08%, respectively. Pishowed that the contents of Cu, Cd, Cr, and Ni were relatively higher in the parent material of intermediate-basic hornblende metamorphic rocks and intermediate-basic gneiss metamorphic rocks. E. decreased in the order of Hg(58. 06) >Cd(39.72) >As(10.98) >Cu(6.56) >Pb(5.60) >Ni(5.43) >Cr(2.01) >Zn(1. 10). Samples whose RI was lower than 150 accounted for 84. 27%, showing that the research area was predominantly at a slight potential ecological risk level. The sources of soil heavy metals were dominated by parent material weathering, followed by the mixed sources of agricultural activities and transportation, the exploitation of mining, and fossil burning, which accounted for 41.44%, 31. 83%, 22. 01%, and 4. 73%, respectively. The risks of heavy metal pollution in the mineral resource base were characterized as multi-source instead of the single source from the mining industry. These research results provide the scientific basis for regional green mining development and eco-environmental protection. © 2023 Science Press. All rights reserved.
引用
收藏
页码:3585 / 3599
页数:14
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  • [1] Xie L T, Pan J J, Bai H R, Et al., GIS-based spatial distribution and risk assessment of heavy metals in farmland soils
  • [2] a case study of a town of Jiangning, Nanjing [J], Acta Pedol ogica Sirica, 57, 2, pp. 316-325, (2020)
  • [3] Xu Y N, Zhang J H, Ke H L, Et al., An assessment method for heavy metal cumulative risk on farmland soil in the mining area-A case study of the Xiaoqinling gold mining area[J], Geological Bulletin of China, 33, 8, pp. 1097-1105, (2014)
  • [4] Tang D D, Yuan X Y, Wang Y M, Et al., Enrichment characteristics and risk paction of heavy metals for rice gralns growing in paddy soils with a high geological background [J], Jouriial of Agxo-Envixonment Science, 37, 1, pp. 18-26, (2018)
  • [5] Ju T N, Lei M., Geo-accumulation index method to optimize the evaluation method of polymetallic environment quality taking developed agricultural areas as an example [J], Environmental Science, 43, 2, pp. 957-964, (2022)
  • [6] Zhang L K, Li H P, Huang X M, Et al., Soil heavv metal spatial distribution and souice analysis around an aluminum plant in Baotou, Environmental Science, 37, 3, pp. 1139-1146, (2016)
  • [7] Li L, Zhang D, Hu W, Et al., Atmospheric VOCs pollution characteristics and health risk assessment of large-scale integrated industrial area and suriounding areas in Southwest China [J], Environmental Science, 43, 1, pp. 102-112, (2022)
  • [8] Wang R, Deng H, Jia Z M, Et al., Spatial distribution characteristics, pollution, and ecological risk assessment of soil heavy metals around mercury mining areas, Enviroental Science, 42, 6, pp. 3018-3027, (2021)
  • [9] Zhang Y W, Han J H, Tu Q, Et al., Accumulation characteristics and evaluation of heavy metals in suburban farmland soils of Tianjin [J], Journal of Ecology and Rural Environment, 35, 11, pp. 1445-1452, (2019)
  • [10] Wang XW, Liu HY, Gu X F, Et al., Distribution characteristics of heavy metals in soils affected by differ land use types in a superimposed pollution area with high geological background[J], Enviroental Science, 43, 4, pp. 2094-2103, (2022)