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Approximating rainfall-runoff modelling response using a stochastic integral equation
被引:0
|作者:
Hromadka, TV
Whitley, RJ
机构:
[1] Dept of Maths, California State Univ, Fullerton CA 92634, United States
关键词:
uncertainty;
rainfall-runoff models;
hydrology;
modelling;
stochastic;
stochastic integrals;
D O I:
暂无
中图分类号:
TV21 [水资源调查与水利规划];
学科分类号:
081501 ;
摘要:
Rainfall-runoff modelling uncertainty can be analysed by the use of a stochastic integral formulation. The stochastic integral equation can be based on the rainfall-runoff model input of model rainfall or model rainfall excess. Similarly, the stochastic integral equation can be based on the rainfall-runoff model output of the modelled runoff hydrograph. The residual between actual measured runoff data and modelled runoff (from the rainfall-runoff model) is analysed here by the use of a stochastic integral equation. This approach is used to develop a set of convolution integral transfer function realizations that represent the chosen rainfall-runoff modelling error. The resulting stochastic integral component is a distribution of possible residual outcomes that may be directly added to the rainfall-runoff model's deterministic outcome, to develop a distribution of probable runoff hydrograph realizations from the chosen rainfall-runoff model.
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页码:1003 / 1019
页数:17
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