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VERIFICATION AND APPLICATION OF REGIONAL EQUATIONS FOR THE STORAGE FUNCTION RUNOFF MODEL 1
Author(s) -
Sugiyama Hironobu,
Kadoya Mutsumi,
Nagai Akihiro,
Lansey Kevin
Publication year - 1999
Publication title -
jawra journal of the american water resources association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.957
H-Index - 105
eISSN - 1752-1688
pISSN - 1093-474X
DOI - 10.1111/j.1752-1688.1999.tb04202.x
Subject(s) - hydrograph , surface runoff , watershed , hydrology (agriculture) , runoff model , flood myth , structural basin , function (biology) , nonlinear system , environmental science , hydrological modelling , drainage basin , mathematics , mathematical optimization , computer science , geology , geotechnical engineering , geomorphology , geography , climatology , physics , ecology , cartography , archaeology , quantum mechanics , machine learning , evolutionary biology , biology
The storage function model is a nonlinear rainfall‐runoff model that has been developed for and applied to flood runoff analysis in Japan. This paper extends the model applicability by developing practical equations for estimating model parameters which are appropriate on a regional basis, i.e., so‐called regional equations. Previously, the parameters were computed from historical data for a specific basin or from relationships that do not account for land use and topography. To develop the regionalized equations, model parameters were identified for 91 flood events from 22 watersheds in Japan by applying a mathematical optimization technique. Results from 39 of these events were statistically compared and regional relationships were determined as a function of land use, basin area and rainfall intensity. The utility of the estimated equations were tested by computing runoff hydrographs for lumped basins. The estimated parameters were also applied in a distributed watershed model formulation. Both applications showed acceptable results that validate the use of the regionalized relationships.