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A Comparison of Rainfall-Runoff Models
Author(s) -
William Weeks,
R. H. B. Hebbert
Publication year - 1980
Publication title -
hydrology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.665
H-Index - 48
eISSN - 1996-9694
pISSN - 0029-1277
DOI - 10.2166/nh.1980.0002
Subject(s) - surface runoff , computation , series (stratigraphy) , conceptual model , calibration , computer science , variety (cybernetics) , mathematical model , hydrology (agriculture) , environmental science , mathematics , statistics , geology , algorithm , artificial intelligence , ecology , paleontology , geotechnical engineering , database , biology
Five different rainfall - runoff models including three sophisticated conceptual models (Sacramento, Stanford and Monash Models), a simple conceptual model (Boughton Model) and a black-box or purely mathematical method involving a recursive time series alogirithm were tested on three catchments in the south-west region of Western Australia. A variety of techniques were used to assess the performance of each of the models which were calibrated on about six years of data and then tested on a further six or seven years of extra data. As well as the objective comparison of the models, a subjective assessment of the user and computation aspects of model calibration is presented. All of the models except the Boughton Model performed in a satisfactory manner with the Sacramento Model and Time Series Method being given overall recommendation.

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