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Estimating rainfall‐run‐off model parameters by non‐linear minimization
Author(s) -
Yu YunSheng,
Guangte Wang
Publication year - 1992
Publication title -
international journal for numerical methods in fluids
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.938
H-Index - 112
eISSN - 1097-0363
pISSN - 0271-2091
DOI - 10.1002/fld.1650150902
Subject(s) - hydrograph , storm , runoff model , watershed , minification , infiltration (hvac) , environmental science , meteorology , hydrological modelling , mathematics , hydrology (agriculture) , computer science , surface runoff , mathematical optimization , climatology , geology , geography , geotechnical engineering , ecology , machine learning , biology
Existing discrete, linear rainfall‐run‐off models generally require the effective rainfall of a given storm as the input for computing the run‐off hydrograph. This paper proposes a rainfall‐run‐off model which uses the rainfall hyetograph as input and directly accounts for rainfall losses. The model combines an ARMA model and a modified Philip equation for rainfall losses due to infiltration. For a given watershed with measured rainfall hyetograph and the corresponding run‐off hydrograph, optimal values of model parameters are estimated by using a non‐linear iterative technique. Applications of the model to two different watersheds show that the computed run‐off hydrographs agree well with the measurements. The proposed model is a viable alternative to the widely used unit‐hydrograph method.