APPROXIMATING RAINFALL-RUNOFF MODELLING RESPONSE USING A STOCHASTIC INTEGRAL EQUATION
✍ Scribed by T. V. HROMADKA II; R. J. WHITLEY
- Publisher
- John Wiley and Sons
- Year
- 1996
- Tongue
- English
- Weight
- 997 KB
- Volume
- 10
- Category
- Article
- ISSN
- 0885-6087
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✦ Synopsis
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.