摘要
本文从系统分析、概率及随机过程技术的观点建立河流段的系统模型以及通过电脑实验的方法对河流流量时间序列作概率函数估计测量.测量结果表明,流量时间序列的振幅起伏具有超指数特性分布.这可认为是环境随机性的影响所致.尤其是联系到无限的过去在远环境的背景降雨状态.
This paper deals with computer modeling of probability measure of flow time-series of river systems. This is done from the viewpoint of system analysis, probabilistic and stochastic process techniques. It shows that amplitude fluctuation of flow time-series data have a class of hyper-exponental distribution. This may be thought of as incorporating environmental stochasticities, especially connected with infinite past background rainfall behaviours in the far-away environment.
出处
《华南师范大学学报（自然科学版）》
CAS
1992年第2期14-19,共6页
Journal of South China Normal University(Natural Science Edition)
关键词
振幅
时间序列
随机过程
河流
流量
概率分布
system
generating mechanising amplitude fluctuation
time-series, stochastic process
hyper-exponental distribution
bactkward shift operator
