Dépôt numérique
RECHERCHER

Bayesian modeling of hydrographs.

Téléchargements

Téléchargements par mois depuis la dernière année

Plus de statistiques...

Merleau, James; Perreault, Luc; Angers, Jean-François; Favre, Anne-Catherine (2007). Bayesian modeling of hydrographs. Water Resources Research , vol. 43 , nº 10. W10432. DOI: 10.1029/2006WR005376.

[img]
Prévisualisation
PDF
Télécharger (1MB) | Prévisualisation

Résumé

This article presents a new approach to model yearly hydrographs with daily or weekly streamflow measurements. The method considers yearly hydrographs as a sample of functions to be modeled nonparametrically in a Bayesian setting. The functional data analysis framework provides great flexibility to reproduce the features of yearly hydrographs, while the Bayesian probabilistic model ensures statistical coherence between the flood variables and the shapes of flood events. The proposed methodology is applied to two samples of hydrographs from two watersheds in the province of Quebec.

Type de document: Article
Mots-clés libres: hydrograph modeling; registration; Bayesian regression; nonparametric function estimation; spline functions
Centre: Centre Eau Terre Environnement
Date de dépôt: 28 nov. 2019 19:41
Dernière modification: 28 nov. 2019 19:41
URI: http://espace.inrs.ca/id/eprint/9493

Actions (Identification requise)

Modifier la notice Modifier la notice