摘要
提出采用递推算法多变量自回归模型进行各站年径流的生成，同时考虑径流的年、月特征，进行模糊最优聚类分析，据此生成各月径流量，从而建立了模糊随机生成模型．该模型既反映了各站之间的时空关系，又反映了月径流生成中径流总量与其年内分配之间的关系。
This paper develops a fuzzy and stochastic generation model of multi station streamflow.The annual flow of each station is generated by an autoregression model of multi variable and the monthly flow of each station is generated based on the fuzzy optimal clustering analysis and on the consideration of the annual and monthly properties of the flow.The model reflects the relation between time and space of each station and the relation between the total amount and monthly distribution of the generated monthly flow,and closer to the real properties of the streamflow.
出处
《武汉水利电力大学学报》
EI
CSCD
1997年第2期59-62,共4页
Engineering Journal of Wuhan University
关键词
年径流
多站径流
径流
模糊性
随机性
数学模型
multi variable
autoregression model
fuzzy clustering analysis
annual flow
