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Assessment of a model of pollution disaster in near-shore coastal waters based on catastrophe theory

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  • Wang, Wenjun
  • Liu, Suling
  • Zhang, Shushen
  • Chen, Jingwen

Abstract

In this study, a model for assessing of environmental disasters in near-shore areas was developed using a multi-criteria evaluation method of catastrophe theory. The assessment model involved scenarios of eutrophication, pollution with heavy metals and organic compounds. An evaluation system of the model was composed of seven mesosphere indicators and twenty underlying indicators including water chemistry, water physics, water biology, heavy metals and organic pollutants in water and surface sediments. The model was applied to possibility assessment of environmental disasters in different functional regions of the Dalian Bay in 2001 and 2006. Results showed that the environmental disaster indicators in 2001 were equivalent to the Level 4 standard values of marine functional areas, but the eutrophication disaster indicators were lower than the Level 4 standard values. It is consistent with the occurrence of a large-scale red tide in Dalian Bay in 2001. In 2006, eutrophication remained the dominant problem of the region but organic pollutants, such as oil, were reduced remarkably. This coincided with ongoing local environmental-friendly practices for industries.

Suggested Citation

  • Wang, Wenjun & Liu, Suling & Zhang, Shushen & Chen, Jingwen, 2011. "Assessment of a model of pollution disaster in near-shore coastal waters based on catastrophe theory," Ecological Modelling, Elsevier, vol. 222(2), pages 307-312.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:2:p:307-312
    DOI: 10.1016/j.ecolmodel.2010.09.007
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    Cited by:

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    11. Yuexiang Yang & Xiaoyu Zheng & Zhen Sun, 2020. "Coal Resource Security Assessment in China: A Study Using Entropy-Weight-Based TOPSIS and BP Neural Network," Sustainability, MDPI, vol. 12(6), pages 1-15, March.

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