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首页> 外文会议>International Symposium on Flood Defence vol.1; 20020910-13; Beijing(CN) >Weighted fuzzy c-means method and comparison of some methods for classification of hydrological homogeneous regions
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Weighted fuzzy c-means method and comparison of some methods for classification of hydrological homogeneous regions

机译：加权模糊c均值方法及水文均质区域分类方法的比较

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摘要

Estimation of flooding potential is often required for catchments with insufficient or non-existent hydrometric information. In such circumstances, regional flood frequency analysis or regionalisation can be employed with available information from similar catchments. The process of regionalisation includes the identification of catchments that collectively compose a homogeneous region and the formulation of a scheme for that region to estimate floods by using catchment characteristics. The identification of catchments may be regarded as an example of the wider problem of classification of data sets. The principal component analysis, the fuzzy c-means method and weighted fuzzy c-means method were applied for data set of 86 stations from Gan-Ming river basin in Jiangxi and Fujian provinces of China and it was found that the stations could be divided into three groups. A test of heterogeneity based on L-moments should therefore be prerequisite of any regional flood frequencies to check whether a proposed sub-region is homogeneity or not.
机译：对于水位信息不足或不存在的流域，通常需要估算洪水的潜力。在这种情况下，可以利用来自类似流域的可用信息进行区域洪水频率分析或区域化。区域化过程包括确定共同组成同质区域的集水区，并为该区域制定使用集水区特征估算洪水的方案。集水区的识别可以看作是更广泛的数据集分类问题的一个例子。将主成分分析法，模糊c均值法和加权模糊c均值法应用于江西和福建赣赣流域86个站点的数据集，发现这些站点可分为三组。因此，基于L矩的异质性测试应成为任何区域洪水发生频率的先决条件，以检查提议的子区域是否同质。

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