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本文研究的是如何将山西省某一现有大型水库上游的入库水文站人工生成的洪水期水沙逐月长序列资料、解集成五日平均的水沙序列资料.该站逐月序列资料的人工生成前已在河流逐月输沙率时间序列的人工生成一文中完成.借助于模糊相似的概念,本文提出了一种解集方法,在其中构造了一个由兰氏距离和相关系数组合而成的加权模糊相似指标,作为判断生成样本与历史样本相似程度的标准.此外,通过对解集而成的五日平均水沙序列与历史五日平均水沙序列作比较,对该解集方法的合理性进行了阐述.
This paper studies how to integrate the five-day-average data of sediment-sediment data from the monthly data of water-sediment-long-term sediment collected by hydrological stations in the upstream of an existing large-scale reservoir in Shanxi Province. Is constructed manually in a time-series of monthly sediment transport rate of the river.According to the concept of fuzzy similarity, a solution set method is proposed in this paper, in which a combination of Landsian distance and correlation coefficient As a criterion for judging the similarity between sample and historical sample.Furthermore, by comparing the five-day average runoff and sediment sequence with the historical five-day average runoff and sediment sequence, this solution set The rationality of the method is elaborated.