Earth Science Frontiers ›› 2024, Vol. 31 ›› Issue (2): 31-41.DOI: 10.13745/j.esf.sf.2023.11.46

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Heavy metal accumulation in soils of a typical mining community: Driving factors and probabilistic health risk assessment

DING Xiang2(), YUAN Bei1,3, DU Ping1,*(), LIU Hupeng1,3, ZHANG Yunhui1, CHEN Juan1   

  1. 1. Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China
    2. Taizhou Monitoring Station of Ecological Environment, Taizhou 225300, China
    3. Chinese Research Academy of Environmental Sciences, Beijing 100012, China
  • Received:2023-10-08 Revised:2023-11-02 Online:2024-03-25 Published:2024-04-18

Abstract:

Understanding the sources of heavy metals in soils and the associated health risks is essential for effective risk management. In this study, taking a typical mining community as an example, the characteristics of soil contamination by heavy metals As, Cd, Cr, Cu, Ni, Pb, Zn, and Hg are evaluated using geo-accumulation index (Igeo). The potential sources of heavy metals are analyzed through correlation analysis in combination with positive matrix factorization (PMF) analysis. The results are applied to identify the driving factors for heavy metal accumulation in soils by redundancy analysis (RDA) and to quantify the associated health risk using the health risk assessment model. The Igeo results indicated a moderate level of Cd accumulation and low levels of Cu, Pb and Zn accumulation. Four potential sources of heavy metals in the study area were identified based on the PMF model. Combined with correlation analysis and regional pollution characteristics the four sources were clarified—they were Pb-Zn ore extraction and smelting (Cd, Pb), mixed sources (natural sources+copper ore mining and smelting) (Cr, Ni, Cu, Pb), non-ferrous metal smelting emission (Hg), and gold ore mining and smelting (As), with mixed sources being the dominant sources (70.10%). Based on RDA results, the key driving factors for heavy metal accumulation were cation exchange, soil moisture and distance to mines. According to the health risk assessment, heavy metal contamination in soils of the study area posed unacceptable carcinogenic hazards to children (probability of 15.21%), and carcinogenic health risks to adults and non-carcinogenic health risks to children and adults were at an acceptable risk level. Notably As was the main carcinogenic risk factor in the study area, and the 95th percentile risk (1.75E-4) exceeded the acceptable risk threshold (1E-4). The above findings can provide data support for priority control and prevention of heavy metal pollution in soils of the study area.

Key words: mining community, soil heavy metals, source analysis, PMF model, redundancy analysis, probabilistic risk assessment

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