基于灰加权关联度模型的相似流域优选

Optimizing Analogy Watershed Based on Grey Weighted Relational Degree Model

鉴于传统方法选择相似流域时的主观性及相似流域的相似与否属于灰色概念,综合考虑反映各流域特征指标重要性的差异,构建了相似流域灰加权关联度优选模型。采用层次分析法确定指标权重,根据灰关联度最大原则优选相似流域。该模型应用于汀江流域陂下水库相似流域优选,结果表明:相似流域灰加权关联度模型优选出的相似流域与实际情况相符,具有较高的可靠性,可以克服以经验分析为主的水文比拟法的不足。

In view of the fact that the traditional method of selecting analogy watershed is based on the subjective judgement and it is grey. Considering that different index reflecting the characteristics of the basin was different importance,grey weighted relational degree model for optimizing analogy watershed was built. The analytic hierarchy process was applied to calculate the weight of influence factors,then the prin-ciple of maximal gray relational degree was used to select analogy watershed. The model was applied in the Poxia Reservoir of Tingjiang River basin,and the result shows that the optimizing analogy watershed based on fuzzy weighted pattern has good reliability. It can overcome the in-sufficient of hydrologic analogy method.