 |
| Titel |
Optimal depth-based regional frequency analysis |
| VerfasserIn |
H. Wazneh, F. Chebana, T. B. M. J. Ouarda |
| Medientyp |
Artikel
|
| Sprache |
Englisch
|
| ISSN |
1027-5606
|
| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 6 ; Nr. 17, no. 6 (2013-06-21), S.2281-2296 |
| Datensatznummer |
250018905
|
| Publikation (Nr.) |
 copernicus.org/hess-17-2281-2013.pdf |
|
|
|
|
|
| Zusammenfassung |
| Classical methods of regional frequency analysis (RFA) of hydrological
variables face two drawbacks: (1) the restriction to a particular region
which can lead to a loss of some information and (2) the definition of a
region that generates a border effect. To reduce the impact of these
drawbacks on regional modeling performance, an iterative method was proposed
recently, based on the statistical notion of the depth function and a weight
function φ. This depth-based RFA (DBRFA) approach was shown to be
superior to traditional approaches in terms of flexibility, generality and
performance. The main difficulty of the DBRFA approach is the optimal choice
of the weight function ϕ (e.g., φ minimizing estimation
errors). In order to avoid a subjective choice and naïve selection
procedures of φ, the aim of the present paper is to propose an
algorithm-based procedure to optimize the DBRFA and automate the choice of
ϕ according to objective performance criteria. This procedure is
applied to estimate flood quantiles in three different regions in North
America. One of the findings from the application is that the optimal weight
function depends on the considered region and can also quantify the region's
homogeneity. By comparing the DBRFA to the canonical correlation analysis
(CCA) method, results show that the DBRFA approach leads to better
performances both in terms of relative bias and mean square error. |
| |
|
| Teil von |
|
|
|
|
|
|
|
|