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| Assessing seawater quality with a variable fuzzy recognition model | |
| 作者姓名： | 柯丽娜 王权明 盖美 周惠成 |
| 基金项目： | Supported by the 908 Special Fund of the State Oceanic Administration： the Offshore Marine Environment Quality Evaluation of Liaoning Province （No. LN-908-02-04）, and the Humanities and Social Science Research Project of Ministry of Education |
| 摘 要： | 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： | 模糊识别模型 模型评价 海水水质 可变 质量评价模型 非线性特性 水体富营养化 海洋经济 |
Assessing seawater quality with a variable fuzzy recognition model |
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| Lina Ke,Quanming Wang,Mei Gai,Huicheng Zhou.Assessing seawater quality with a variable fuzzy recognition model[J].Chinese Journal of Oceanology and Limnology,2014,32(3):645-655. | |
| Authors: | Lina Ke Quanming Wang Mei Gai Huicheng Zhou |
| Institution: | 1. Liaoning Key Laboratory of Physical Geography and Geomatics, Dalian, 116029, China 2. School of Hydraulic Engineering, Dalian University of Technology, Dalian, 116024, China 3. National Marine Environment Monitoring Center, Dalian, 116023, China |
| 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. |
| Keywords: | variable fuzzy recognition seawater quality assessment model Laizhou Bay |
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