Premium
REGION OF INFLUENCE REGRESSION FOR ESTIMATING THE 50‐YEAR FLOOD AT UNGAGED SITES 1
Author(s) -
Tasker Gary D.,
Hodge Scott A.,
Barks C. Shane.
Publication year - 1996
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.1752-1688.1996.tb03444.x
Subject(s) - flood myth , environmental science , hydrology (agriculture) , regression analysis , regression , physical geography , geography , geology , statistics , mathematics , archaeology , geotechnical engineering
Five methods of developing regional regression models to estimate flood characteristics at ungaged sites in Arkansas are examined. The methods differ in the manner in which the State is divided into subregions. Each successive method (A to E) is computationally more complex than the previous method. Method A makes no subdivision. Methods B and C define two and four geographic subregions, respectively. Method D uses cluster/discriminant analysis to define subregions on the basis of similarities in watershed characteristics. Method E, the new region of influence method, defines a unique subregion for each ungaged site. Split‐sample results indicate that, in terms of root‐mean‐square error, method E (38 percent error) is best. Methods C and D (42 and 41 percent error) were in a virtual tie for second, and methods B (44 percent error) and A (49 percent error) were fourth and fifth best.