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STATE VARIABLE MODEL FOR URBAN RAINFALL‐RUNOFF PROCESS 1
Author(s) -
Tung YeouKoung,
Mays Larry W.
Publication year - 1981
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.1752-1688.1981.tb03920.x
Subject(s) - watershed , surface runoff , urbanization , variable (mathematics) , environmental science , hydrology (agriculture) , state variable , nonlinear system , process (computing) , mathematics , computer science , engineering , geotechnical engineering , physics , ecology , mathematical analysis , machine learning , biology , operating system , thermodynamics , quantum mechanics
A nonlinear hydrologic system model has been developed for analyzing the urban rainfall‐runoff process. The model is formulated as a state variable model consisting of several parameters. A search technique is employed to find the set of parameters for which the model's response best fits observed data. The model could be used in either a simulation or forecasting mode. The model is applied to observed data for the Waller Creek Watershed in Austin, Texas, to develop the model parameters for various levels of urbanization of the watershed. The trend of each parameter with respect to levels of urbanization is examined.