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<p>This study used LC-QTOF-MS and suspect screening. It systematically identified and analyzed pollutants in the rivers and coastal areas around a chemical industrial park in Jiangsu Province. The research revealed the spatial distribution of complex chemical pollutants and their links to industrial discharges. Samples from the GH, ZB, and XY rivers and coastal areas revealed a complex mix of pollutants, including pesticides, pharmaceuticals, and industrial chemicals. PCA traced pollution sources, with industrial waste and agricultural runoff being significant. The study identified 120 chemicals, with pesticides making up 65%. Notable contaminants included nonylphenol and tributylamine. Industrial contributions were evident downstream of the park, with sites G-3 to G-6 in the GH River and ZB-4 in the ZB River showing high contamination. PCA identified industrial discharges and agricultural runoff as primary pollution sources, with chemicals like anileridine, atrazine, and azoxystrobin indicating industrial influence. Unique pollution signatures suggested localized impacts. The findings provide a scientific basis for developing targeted pollution control strategies and promoting sustainable development of chemical industrial parks.</p>

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Environmental pollutant and source analysis near Chinese chemical industrial activities

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月22日

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  • Daoxu Zhong,
  • Jiaming Li,
  • Shui Wang,
  • Lisen Bai,
  • Guangbing Liu,
  • Jingzhong Tao,
  • Mengya Li,
  • Wei Liu

摘要

This study used LC-QTOF-MS and suspect screening. It systematically identified and analyzed pollutants in the rivers and coastal areas around a chemical industrial park in Jiangsu Province. The research revealed the spatial distribution of complex chemical pollutants and their links to industrial discharges. Samples from the GH, ZB, and XY rivers and coastal areas revealed a complex mix of pollutants, including pesticides, pharmaceuticals, and industrial chemicals. PCA traced pollution sources, with industrial waste and agricultural runoff being significant. The study identified 120 chemicals, with pesticides making up 65%. Notable contaminants included nonylphenol and tributylamine. Industrial contributions were evident downstream of the park, with sites G-3 to G-6 in the GH River and ZB-4 in the ZB River showing high contamination. PCA identified industrial discharges and agricultural runoff as primary pollution sources, with chemicals like anileridine, atrazine, and azoxystrobin indicating industrial influence. Unique pollution signatures suggested localized impacts. The findings provide a scientific basis for developing targeted pollution control strategies and promoting sustainable development of chemical industrial parks.