Dépôt numérique

Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression.


Téléchargements par mois depuis la dernière année

Plus de statistiques...

Durocher, Martin; Chebana, Fateh ORCID logoORCID: https://orcid.org/0000-0002-3329-8179 et Ouarda, Taha B. M. J. ORCID logoORCID: https://orcid.org/0000-0002-0969-063X (2016). Delineation of homogenous regions using hydrological variables predicted by projection pursuit regression. Hydrology and Earth System Sciences , vol. 20 , nº 12. pp. 4717-4729. DOI: 10.5194/hess-20-4717-2016.

[thumbnail of P2862.pdf]
Télécharger (785kB) | Prévisualisation


This study investigates the utilization of hydrological information in regional flood frequency analysis (RFFA) to enforce desired properties for a group of gauged stations. Neighbourhoods are particular types of regions that are centred on target locations. A challenge for using neighbourhoods in RFFA is that hydrological information is not available at target locations and cannot be completely replaced by the available physiographical information. Instead of using the available physiographic characteristics to define the centre of a target location, this study proposes to introduce estimates of reference hydrological variables to ensure a better homogeneity. These reference variables represent nonlinear relations with the site characteristics obtained by projection pursuit regression, a nonparametric regression method. The resulting neighbourhoods are investigated in combination with commonly used regional models: the index-flood model and regression-based models. The complete approach is illustrated in a real-world case study with gauged sites from the southern part of the province of Québec, Canada, and is compared with the traditional approaches such as region of influence and canonical correlation analysis. The evaluation focuses on the neighbourhood properties as well as prediction performances, with special attention devoted to problematic stations. Results show clear improvements in neighbourhood definitions and quantile estimates.

Type de document: Article
Mots-clés libres: floods; hydrological variables; projection pursuit regression
Centre: Centre Eau Terre Environnement
Date de dépôt: 04 mai 2018 19:40
Dernière modification: 21 févr. 2022 17:37
URI: https://espace.inrs.ca/id/eprint/5666

Gestion Actions (Identification requise)

Modifier la notice Modifier la notice