Assessing seawater quality with a variable fuzzy recognition model

Lina Ke; Quanming Wang; Mei Gai; Huicheng Zhou

doi:10.1007/s00343-014-3117-3

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Assessing seawater quality with a variable fuzzy recognition model

Updated：2023-05-16

- Assessing seawater quality with a variable fuzzy recognition model
- Journal of Oceanology and Limnology Vol. 32, Issue 3, Pages: 645-655(2014)
- Affiliations：
  
  1. Liaoning Key Laboratory of Physical Geography and Geomatics
  2. School of Hydraulic Engineering Dalian University of Technology
  3. National Marine Environment Monitoring Center
- Author bio：
- Funds：
- DOI：10.1007/s00343-014-3117-3
  CLC：
- Online First：04 May 2014，
  
  Published：2014
- Accepted：
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Ke, L., Wang, Q., Gai, M. et al. Assessing seawater quality with a variable fuzzy recognition model., Chin. J. Ocean. Limnol. 32, 645–655 (2014). https://doi.org/10.1007/s00343-014-3117-3
DOI：

Ke, L., Wang, Q., Gai, M. et al. Assessing seawater quality with a variable fuzzy recognition model., Chin. J. Ocean. Limnol. 32, 645–655 (2014). https://doi.org/10.1007/s00343-014-3117-3 DOI：

摘要

Abstract

With the rapid development of the marine economy industry

human exploitation of marine resources is increasing

which is contributing to the growing trend of eutrophication and frequent occurrence of red tide. Accordingly

investigations of seawater quality have attracted a great deal of attention. This study was conducted to construct a seawater environmental quality assessment model based on the variable fuzzy recognition model. The uncertainty and ambiguity of the seawater quality assessment were then considered

combining the monitoring values of evaluation indicators with the standard values of seawater quality. Laizhou Bay was subsequently selected for a case study. In this study

the correct variable model for different parameters was obtained according to the linear and nonlinear features of evaluation objects. Application of the variable fuzzy recognition model for Laizhou Bay

water quality evaluation and comparison with performance obtained using other approaches revealed that the generated model is more reliable than traditional methods

can more reasonably determine the water quality of various samples

and is more suitable for evaluation of a multi-index

multi-level

nonlinear marine environment system; accordingly

the generated model will be an effective tool for seawater quality evaluation.

关键词

Keywords

references

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