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AN ANALYSIS OF REGION‐OF‐INFLUENCE METHODS FOR FLOOD REGIONALIZATION IN THE GULF‐ATLANTIC ROLLING PLAINS 1
Author(s) -
Eng Ken,
Tasker Gary D.,
Milly P.C.D.
Publication year - 2005
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.1752-1688.2005.tb03723.x
Subject(s) - cutoff , flood myth , structural basin , hydrology (agriculture) , environmental science , regression analysis , regression , statistics , linear regression , drainage basin , geography , physical geography , geology , mathematics , cartography , geomorphology , archaeology , physics , geotechnical engineering , quantum mechanics
Region‐of‐influence (RoI) approaches for estimating stream flow characteristics at ungaged sites were applied and evaluated in a case study of the 50‐year peak discharge in the Gulf‐Atlantic Rolling Plains of the southeastern United States. Linear regression against basin characteristics was performed for each ungaged site considered based on data from a region of influence containing the n closest gages in predictor variable (PRoI) or geographic (GRoI) space. Augmentation of this count based cutoff by a distance based cutoff also was considered. Prediction errors were evaluated for an independent (split‐sampled) dataset. For the dataset and metrics considered here: (1) for either PRoI or GRoI, optimal results were found when the simpler count based cutoff, rather than the distance augmented cutoff, was used; (2) GRoI produced lower error than PRoI when applied indiscriminately over the entire study region; (3) PRoI performance improved considerably when Rol was restricted to predefined geographic subregions.