Region of influence regression for estimating the 50-year flood at ungaged sites
Journal of the American Water Resources Association
By: Gary D. Tasker, S.A. Hodge, and C. S. Barks
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Abstract
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 subrogions. 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 subrogions, respectively. Method D uses cluster/discriminant analysis to define subrogions 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.
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Region of influence regression for estimating the 50-year flood at ungaged sites |
| Series title | Journal of the American Water Resources Association |
| Volume | 32 |
| Issue | 1 |
| Year Published | 1996 |
| Language | English |
| Larger Work Type | Article |
| Larger Work Subtype | Journal Article |
| Larger Work Title | Journal of the American Water Resources Association |
| First page | 163 |
| Last page | 170 |
| Google Analytic Metrics | Metrics page |