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USING FIELD SCALE MODELS TO PREDICT PEAK FLOWS ON AGRICULTURAL WATERSHEDS 1
Author(s) -
Gowda Prasanna H.,
Ward Andy D.,
White Dale A.,
Baker David B.,
Lyon John G.
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.tb04209.x
Subject(s) - watershed , hydrograph , hydrology (agriculture) , environmental science , surface runoff , storm , scale (ratio) , time of concentration , range (aeronautics) , agricultural land , field (mathematics) , agriculture , mathematics , meteorology , geography , geology , computer science , ecology , cartography , engineering , geotechnical engineering , archaeology , machine learning , aerospace engineering , pure mathematics , biology
The goal of this study was to develop a methodology for generating storm hydrographs at a watershed scale based on daily runoff estimates from a field scale model. The methodology was evaluated on a small agricultural watershed using the ADAPT field scale process model. A comparison of observed and predicted peak flows for 11 of the largest events that occurred in a three year period gave r 2 values of 0.84, 0.82, and 0.81 when the watershed was subdivided into 1, 5, and 10 sub watersheds. However, all other statistical measures improved when the watershed was subdivided into at least five sub watersheds. Guidelines need to be developed on the use of the procedure but it first needs to be evaluated on several watersheds that exhibit a range in sizes, land uses, slopes, and soil properties.