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APPROXIMATING RAINFALL‐RUNOFF MODELLING RESPONSE USING A STOCHASTIC INTEGRAL EQUATION
Author(s) -
HROMADKA II T. V.,
WHITLEY R. J.
Publication year - 1996
Publication title -
hydrological processes
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.222
H-Index - 161
eISSN - 1099-1085
pISSN - 0885-6087
DOI - 10.1002/(sici)1099-1085(199607)10:7<1003::aid-hyp363>3.0.co;2-r
Subject(s) - surface runoff , environmental science , hydrological modelling , hydrology (agriculture) , mathematics , geology , climatology , geotechnical engineering , ecology , biology
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.