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Volume 43 Issue 4
Apr.  2025
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CHEN F Y,ZHOU Q G,HE G J,et al.Spatial differentiation and influencing factors of heavy metals in contaminated plots based on geographical detectors[J].Environmental Engineering,2025,43(4):78-87. doi: 10.13205/j.hjgc.202504008
Citation: CHEN F Y,ZHOU Q G,HE G J,et al.Spatial differentiation and influencing factors of heavy metals in contaminated plots based on geographical detectors[J].Environmental Engineering,2025,43(4):78-87. doi: 10.13205/j.hjgc.202504008

Spatial differentiation and influencing factors of heavy metals in contaminated plots based on geographical detectors

doi: 10.13205/j.hjgc.202504008
  • Received Date: 2024-03-23
  • Accepted Date: 2024-09-09
  • Rev Recd Date: 2024-05-11
  • Publish Date: 2025-04-01
  • In order to explore the heavy metal pollution status of soil in the leftover contaminated plots of an iron and steel plant area relocation in Chongqing, 1427 samples were collected from 262 sampling points based on gridding and professional judgment, and the mean values of the indexes were taken as the values of the sampling points.The current status of soil pollution in the study area was evaluated using the single factor pollution index and the Nemero comprehensive pollution index, and the spatial differentiation of soil pollution influencing factors was analyzed by using geo-detectors. The results showed that:1) the average values of As, Cd, Cu, Hg, Ni, and Pb were 8.18, 0.47, 49.46, 0.24, 29.37, 63.98, 8.98 mg/kg, respectively, and all of them exceeded the standard compared with the background values except for Ni, with strong variability; the spatial distribution varied greatly, and the enriched areas were distributed along the areas with high incidence of industrial utilization. 2)the mean value of soil heavy metal Nemero comprehensive pollution index (P) amounted to 5.46, which was heavily polluted, and the plots were seriously polluted, and the P values of heavy metals in the central part of the study area was larger than that in the eastern and western parts. 3)the factor detection showed that distance from the water source had the strongest explanatory power for pollution distribution (PD,H=0.14) and slope had the weakest explanatory power (PD,H=0.01). The interaction detection showed that the distribution of heavy metal pollution in the study area was influenced by a combination of factors, with the combination of distance from the water source ∩ pH (PD,H=0.28) having the strongest influence, and the combination of distance from road ∩ slope (PD,H=0.05) having the least influence.The study showed that there was variability in heavy metal enrichment degree in polluted sites, which was mainly affected by various factors such as geographic location and industrial activities, and provided an important basis for subsequent pollution management.
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