Mercury(编程语言)
重金属
污染
土壤水分
环境科学
环境修复
镉
重工业
环境保护
工业化
环境工程
砷
土壤污染
环境化学
污染
土壤科学
化学
生态学
经济
程序设计语言
有机化学
生物
计算机科学
市场经济
作者
Dong Xu,Zejun Wang,Xiaoyu Tan,Haohan Xu,Dongbo Zhu,Ruili Shen,Ding Kang,Hongcheng Li,Luojing Xiang,Zhibing Yang
标识
DOI:10.1016/j.scitotenv.2024.170431
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI