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Ke L.,Liaoning Key Laboratory of Physical Geography and Geomatics | Ke L.,Dalian University of Technology | Wang Q.,National Marine Environmental Monitoring Center | Gai M.,Liaoning Key Laboratory of Physical Geography and Geomatics | Zhou H.,Dalian University of Technology
Chinese Journal of Oceanology and Limnology | Year: 2014

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. © 2014 Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag Berlin Heidelberg. Source


Ke L.,Liaoning Key Laboratory of Physical Geography and Geomatics | Ke L.,Dalian University of Technology | Wang Q.,National Marine Environmental Monitoring Center | Sun X.,Dalian University of Technology | And 3 more authors.
Shengtai Xuebao/ Acta Ecologica Sinica | Year: 2013

With the development of marine economy industries, huge quantity of sewage with only preliminary treatment is disposed into the nearby coastal areas and has deteriorated the water quality of the near coastal region. Seawater quality has received increasing scientific attention. Seawater environment quality evaluation is the process of analyzing combinations of certain evaluation indexes and evaluation criteria with the uncertain valuation factors and changes in their content, which is a complicated and uncertain system with coupled multifactor and multilevel effects. In this paper, the variable fuzzy model method is introduced for the comprehensive evaluation of seawater environment quality,a seawater environment quality assessment model based on multi-objective variable fuzzy set theory (VFEM)was developed. The water quality status of Laizhou Bay of China was quantitatively studied, the results indicated that VFEM is a promising tool for evaluating the seawater quality status,which can perform well and accurately evaluate the comprehensive status of the seawater environment quality through the change of variable model parameters (a, p),combining the linear models and nonlinear models, taking the stable result as the final evaluation of the seawater quality,and determine the level of water quality evaluation. Therefore, the evaluation result is more reliable than other modeled results. In addition, the assessment model of seawater environment quality based on multi-objective variable fuzzy set theory can accurately classify the water quality of the sampling points to rank the water quality grade of every sampling point more precisely. This approach can also provide new concepts and means of improving and perfecting the study of seawater environment quality evaluations. Source

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