Premium
A PARAMETRIC MODEL CALIBRATED WITH A PHYSICALLY BASED MODEL FOR RUNOFF PREDICTION FROM UNGAGED STREAMS 1
Author(s) -
Bond Frederick W.,
Chery Donald L.,
Simpson Eugene S.
Publication year - 1979
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.1752-1688.1979.tb01177.x
Subject(s) - surface runoff , streams , parametric statistics , hydrology (agriculture) , environmental science , base flow , parametric model , channel (broadcasting) , watershed , square (algebra) , mile , acre , flow (mathematics) , mathematics , statistics , computer science , geology , geometry , geotechnical engineering , geodesy , geography , drainage basin , computer network , cartography , machine learning , biology , agroforestry , ecology
Recent developments in the numerical solution of the governing partial differential equations for overland and channel flow should make possible physically based models which predict runoff from ungaged streams. However, these models, which represent the watershed by sets of intersecting planes, are complex and require much computer time. Parametric models exist that have the advantage of being relatively simple, and once calibrated are inexpensive to use and require limited data input. In this study, a procedure was developed for calibrating a parametric model against a physically based model, utilizing base areas of one acre and one square mile, with the expectation that base areas can be combined to model real watersheds. Simulation experiments with the physically based model showed that, for the one‐acre base area, the dominant parameter (cell storage ratio, K) related to the slope and friction of the planes, whereas for one square‐mile areas, the dominant parameters (K plus a lag factor, L) relate to channel properties. These parameters decreased exponentially as rainfall intensity increased.