【摘要】 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.更多还原

【Abstract】 The objective of this paper is to study how to disaggregate the synthetic generated monthly time series of flow and sediment discharge into five-days mean time series during flood period in a hydrometric station, which is iocated on the upstream of a large operating resevior of Shang-xi province.The monthly flow and sediment discharge time series had been generated in the paper "SYNTHETIC GENERATION OF MONTHLY RIVER SEDIMENT DISCHARGE TIME SERIES" beforhand. By means of the concept of fuzzy similarity, a disaggregation method is presented here. As a criterion to judge the similarity degree between a generated sample and a historic sample, a weighted fuzzy similarity index which consists of a distance and a correlation coefficient between the two samples is used in this method.In addition, the reasonableness of this method is explained through comparing the generated five-days mean time series with the historic five-days mean time series.更多还原