基于可变模糊识别模型的海水环境质量评价

The seawater environment quality evaluation research base on variable fuzzy pattern recognition model

海水环境质量评价可以视为是一个具有确定性的评价指标和评价标准与具有不确定性的评价因子及其含量变化相结合的分析过程,各评价指标含量具有中介过渡性,构建了基于可变模糊集合理论的海水环境质量评价方法(简称"VFEM"),并以莱州湾海水水质为研究对象,应用提出的可变模糊评价模型对该区域海水水质状况进行评价,实例应用表明,该模型通过可变模型参数变化(a,p),以线性模型与非线性模型相结合,将最后稳定结果作为海洋水质环境的最后评价结果,从而确定水质评价等级,评价结果更为可信,同时该模型通过级别特征值精确区分各水质采样点的水质优劣,对各水质采样点的水质级别有更准确的定位,为海水环境质量综合评价提供了一种合理而适用的方法。

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.