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本文应用模糊数学理论,以多个指标(隶属度)刻划地下水污染程度,以最大隶属度确定水质级别,结合环境水文地质制图较合理地描述了地下水环境质量。“污染程度”这类模糊事件,避免了据临界值“一刀切”判别的失真现象,取得了较符合客观实际的结果。在进行模糊复合运算时,分别采用M(Λ,V)与M(·,+)两种模型,并阐明模型M(·,+)优于模型M(Λ,V)。文中对目前常用的几种评价方法进行了比较讨论。最后附有BASIC电算源程序。
In this paper, fuzzy mathematics theory is used to characterize the degree of groundwater pollution with multiple indicators (membership degree), and the water quality level is determined by the maximum membership degree. The environmental quality of groundwater is more reasonably described in combination with environmental hydrogeological mapping. Ambiguous events such as “pollution level” avoid the phenomenon of “one-size-fits-all” distortion based on the critical value and achieve more objective and objective results. In the fuzzy compound operation, M (Λ, V) and M (·, +) models are respectively used, and the model M (·, +) is better than the model M (Λ, V). In the paper, several commonly used evaluation methods are compared and discussed. Finally comes with BASIC computer source program.