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Study on selection of typical year with water and sediment based on fuzzy clustering iterative model

机译:基于模糊聚类迭代模型的水和沉积物选择典型年份的研究

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In order to reasonably and effectively select the typical year with water and sediment from numerous data, an analysis method of fuzzy clustering iterative model was proposed. Based on the example of Jinji hydrologic station, this paper calculates the model and compares it with the traditional frequency method. Result shows that it was typical in terms of total amount and distribution of flow and sediment to use this method, and the subjectivity of index weight and classification standard of water and sediment is avoided by using this model. So the method is objective and rational.
机译:为了合理而有效地选择典型的一年与许多数据的水和沉积物,提出了一种模糊聚类迭代模型的分析方法。基于金吉水文站的示例,本文计算了模型并将其与传统频率法相比。结果表明,在使用该方法的流量和沉积物的总量和分布方面是典型的,并且使用该模型避免了指数重量和水和沉积物分类标准的主体性。所以该方法是客观和理性的。

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