The Characteristics of Synthetic Autoregressive Streamflow Series and Its Application
Resource
農業工程學報 37 (4): 25-34
Journal
農業工程學報
Journal Issue
4
Pages
25-34
Date Issued
1991-12
Date
1991-12
Author(s)
Hsu, Kuo-Lin
Abstract
It is well known that hydrological time series contain nonconstant trends and autocorrelations. These properties are in conflict with the basic assumption of univariate probability distributions. Both properties can have a significant influence of estimates of the extreme values. By means of time series simulation, these effects can be considered concurrently in estimating the extreme values. This paper reports the results of such a simulation for determining the extreme values using actual annual streamflow data that contain autocorrelations. The results show that for 2(or5) years moving average drought streamflows, using AR(1) model will produce small values than using white noise model.
Subjects
合成
序列
流量
迴歸
Type
journal article
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