模糊聚类分析在河流含沙量研究中的应用  

Application of Fuzzy Clustering Analysis to the Study of Sediment Concentration of Rivers

作　　者：宰松梅[1] 郭树龙[1] 郭冬冬[1] 温季[1] 

机构地区：[1]水利部农田灌溉研究所,河南新乡453003

出　　处：《人民黄河》2011年第11期24-26,共3页Yellow River

基　　金：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。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 convenient.Compared with the traditional classification methods,fuzzy clustering analysis is more objective,detailed,comprehensive and reasonable.Using fuzzy cluster analysis,the main contact,interaction and the main factors can be determined,despite the interaction course of the impact factors is uncertain.

关 键 词：影响因子 聚类分析 模糊数学 含沙量 河流 

分 类 号：O159[理学—数学]