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模糊聚类分析在河流含沙量研究中的应用
引用本文:宰松梅,郭树龙,郭冬冬,温季.模糊聚类分析在河流含沙量研究中的应用[J].人民黄河,2011,33(11).
作者姓名:宰松梅  郭树龙  郭冬冬  温季
作者单位:水利部农田灌溉研究所,河南新乡,453003
基金项目:国家“863”计划项目(2006AA100213); “十一五”国家科技支撑计划项目(2007BAC15B02)
摘    要:基于聚类分析和模糊数学的基本原理,以某河流20年输沙量、降水量、汛期降水量、年径流量为基础,根据不同水平年各个指标的相似度,对不同水平年进行了分类。结果表明:在样本容量不大的情况下,模糊聚类分析的计算量较小,计算比较方便,避免了主观分析的不合理因素,比传统分类方法更客观、细致、全面和合理;应用模糊聚类分析方法,可在不确定各影响因子相互作用过程的情况下,确定其主要联系、相互关系及主要影响因素。

关 键 词:影响因子  聚类分析  模糊数学  含沙量  河流  

Application of Fuzzy Clustering Analysis to the Study of Sediment Concentration of Rivers
ZAI Song-mei,GUO Shu-long,GUO Dong-dong,WEN Ji.Application of Fuzzy Clustering Analysis to the Study of Sediment Concentration of Rivers[J].Yellow River,2011,33(11).
Authors:ZAI Song-mei  GUO Shu-long  GUO Dong-dong  WEN Ji
Affiliation:ZAI Song-mei,GUO Shu-long,GUO Dong-dong,WEN Ji(Farmland Irrigation Research Institute,MWR,Xinxiang 453003,China)
Abstract:Based on the basic principles of cluster analysis and fuzzy mathematics,according to the similarity of various indicators in different typical years,the information of one river for 20 years,such as sediment discharge,rainfall,precipitation in flood season,annual runoff,etc were compared,and the study years were classified.The results showed that,for the irrational elements of subjective analyses are overcome,in the case of small sample size,the calculation of fuzzy clustering analysis is less and more conv...
Keywords:impact factor  cluster analysis  fuzzy mathematics  sediment concentration  river  
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