<p>Quantitative assessments of ecological and health risks are crucial for identifying key factors in controlling industrial soil contamination by heavy metals. This study, a total of 24 and 21 topsoil samples were collected from petrochemical and coking industrial areas followed a grid-based approach, respectively. The concentrations of Pb, Cu, Cr, Zn, Mn, Co, V, and Ni in the soil samples were analysed using an X-ray fluorescence spectrometer, and contamination sources were identified using principal component analysis (PCA) combined with matrix cluster analysis. Ecological and health risks were evaluated based on the geo-accumulation index (Igeo), enrichment factor (EF), potential ecological risk index (ERI), hazard index (HI), carcinogenic risk (CR). The results indicated that industrial activities and transshipment processes were the primary sources contributing to heavy metal contamination in the soil. The ranking of heavy metals mean concentrations (mg/kg) in petrochemical industry was Mn (601.25) &gt; Zn (154.63) &gt; Cr (76.78) &gt; V (76.04) &gt; Cu (39.11) &gt; Pb (36.88) &gt; Ni (31.73) &gt; Co (12.97). In coking industry soils, the order was: Mn (915.14) &gt; Zn (307.64) &gt; Cr (115.98) &gt; Pb (93.20) &gt; V (92.56) &gt; Cu (44.42) &gt; Ni (34.45) &gt; Co (16.65). Ecological risk assessment indicated that coking industry soils (51.49) posed a higher ecological risk compared to petrochemical soils (33.69). Health risk assessment indicated that descended in the order of children &gt; adults, and Cu, Ni, Co, and Cr were identified as the major contributors to CR and NCR. The findings of this study provide critical insights for developing effective control and management strategies to mitigate heavy metal contamination in typical petrochemical and coking industrial areas.</p>

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Quantifying Ecological and Human Health Risks of Heavy Metals from Different Industrial Activities in China

  • Kai Xiao,
  • Yousong Zhou,
  • Yongqiang Zhang,
  • Donglei Fu

摘要

Quantitative assessments of ecological and health risks are crucial for identifying key factors in controlling industrial soil contamination by heavy metals. This study, a total of 24 and 21 topsoil samples were collected from petrochemical and coking industrial areas followed a grid-based approach, respectively. The concentrations of Pb, Cu, Cr, Zn, Mn, Co, V, and Ni in the soil samples were analysed using an X-ray fluorescence spectrometer, and contamination sources were identified using principal component analysis (PCA) combined with matrix cluster analysis. Ecological and health risks were evaluated based on the geo-accumulation index (Igeo), enrichment factor (EF), potential ecological risk index (ERI), hazard index (HI), carcinogenic risk (CR). The results indicated that industrial activities and transshipment processes were the primary sources contributing to heavy metal contamination in the soil. The ranking of heavy metals mean concentrations (mg/kg) in petrochemical industry was Mn (601.25) > Zn (154.63) > Cr (76.78) > V (76.04) > Cu (39.11) > Pb (36.88) > Ni (31.73) > Co (12.97). In coking industry soils, the order was: Mn (915.14) > Zn (307.64) > Cr (115.98) > Pb (93.20) > V (92.56) > Cu (44.42) > Ni (34.45) > Co (16.65). Ecological risk assessment indicated that coking industry soils (51.49) posed a higher ecological risk compared to petrochemical soils (33.69). Health risk assessment indicated that descended in the order of children > adults, and Cu, Ni, Co, and Cr were identified as the major contributors to CR and NCR. The findings of this study provide critical insights for developing effective control and management strategies to mitigate heavy metal contamination in typical petrochemical and coking industrial areas.