基于R语言的年径流量稀疏主成份分析
———以天山北坡昌吉地区河流水系为例
高芸
（新疆昌吉水文勘测局，新疆昌吉831100）
摘要： 以昌吉地区河流水系为例，利用稀疏主成份分析研究了45 a的历史年径流量数据，并用R语言来实现，得出的
主要稀疏成份中包含的河流与通常认定的重要河流基本一致，为河流系中的重要河流的认定提供了有力支持。
关键词： 稀疏；主成份分析；年径流量
中图分类号： X824 文献标识码： A 文章编号： 2095-0802-(2016)03-0091-02
Analysis of Annual Runoff Sparse Principal Component Based on the R Language
———Taking River System in Changji Area in North Slope of Tianshan Mountain as An Example
GAO Yun
(Changji Hydrological Survey Bureau of Xinjiang, Changji 831100, Xinjiang, China)
Abstract: Taking river system in Changji area as example, this paper studied historical annual runoff data over 45 years by using
sparse principal component analysis and realized by using R language. Rivers contained in the obtained main sparse component
are consistent with usual important rivers, which provided powerful support for the cognizance of the important rivers in river
system. Key words: sparse; principal component analysis; annual runoff