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Integrated assessment of the pollution and risk of heavy metals in soils near chemical industry parks along the middle Yangtze River. | LitMetric

AI Article Synopsis

  • Industrialization along critical rivers like the middle Yangtze has led to serious environmental and public health concerns due to soil heavy metal pollution.
  • A study focusing on eight industrial parks revealed that heavy metals such as nickel, cadmium, and copper are most significantly present above normal levels, with their sources identified as various industrial processes, including chemical manufacturing and mechanical production.
  • The findings underline the severe ecological and health risks posed by these metals, particularly cadmium and mercury, which are major contributors to environmental hazards and carcinogenic threats, emphasizing the need for advanced analytical methods to assess and address these issues.

Article Abstract

Industrialization in riparian areas of critical rivers has caused significant environmental and health impacts. Taking eight industrial parks along the middle Yangtze River as examples, this study proposes a multiple-criteria approach to investigate soil heavy metal pollution and associated ecological and health risks posed by industrial activities. Aiming at seven heavy metals, the results show that nickel (Ni), cadmium (Cd), and copper (Cu) exhibited the most significant accumulation above background levels. The comprehensive findings from Pearson correlation analysis, cluster analysis, principal component analysis, and industrial investigation uncover the primary sources of Cd, arsenic (As), mercury (Hg), and lead (Pb) to be chemical processing, while Ni and chromium (Cr) are predominantly derived from mechanical and electrical equipment manufacturing. In contrast, Cu exhibits a broad range of origins across various industrial processes. Soil heavy metals can cause serious ecological and carcinogenic health risks, of which Cd and Hg contribute to >70 % of the total ecological risk, and As contributes over 80 % of the total health risk. This study highlights the importance of employing multiple mathematical and statistical models in determining and evaluating environmental hazards, and may aid in planning the environmental remediation engineering and optimizing the industry standards.

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Source
http://dx.doi.org/10.1016/j.scitotenv.2024.170431DOI Listing

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