日径流过程随机模拟的FDR模型  

FDR model for daily runoff process stochastic simulation

作　　者：陈科[1] 廖松[1] 

机构地区：[1]清华大学水电系

出　　处：《水利学报》1994年第1期48-56,共9页Journal of Hydraulic Engineering

基　　金：国家自然科学基金

摘　　要：本文根据对日径流过程变化特征的深入分析，提出了以日径流过程的一阶差分过程的轮次分析为基础的日径流过程随机模拟模型，简称为一阶差分轮次模型，简记为ＦＤＲ模型．根据长江宜昌站９０年日径流资料建立了宜昌站日径流过程随机模拟模型，并进行了实用性检验，取得了预期的成果．可以认为ＦＤＲ模型具有概念明确，模型结构简单和对资料适应性强的特点．因此，本模型具有较好的实用前景，是一个较好的日径流过程模拟模型．After investigating the daily runoff processes variation characteristics, the authors of this paper propose a model for daily flow processes stochastic simulation. This model is based on the analysis of runs of the first order differences of daily runoff processes, therefore it is called the first order differences runs model, its abbreviation is FDR model. Using 90 years daily floW data of Yichang Station on the Yangtze River, a daily runofT processes simulation model for Yichang Station is estabilished. Practical application of this model shows that it is a better model for daily flow modelling and it has good prospect in applications.

关 键 词：日径流 差分 随机 模拟 FDR模型 

分 类 号：TV121[水利工程—水文学及水资源]