Change point detection of flood events using a functional data framework

Ben Alaya, Mohamed Ali; Ternynck, Camille; Dabo, Sophie; Chebana, Fateh; Ouarda, Taha B. M. J.

Type de document :

Article dans une revue scientifique: Article original

DOI :

10.1016/j.advwatres.2020.103522

URL permanente :

http://hdl.handle.net/20.500.12210/90733

Titre :

Change point detection of flood events using a functional data framework

Auteur(s) :

Ben Alaya, Mohamed Ali [Auteur]
University of Victoria [Canada] [UVIC]
Ternynck, Camille [Auteur]

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Dabo, Sophie [Auteur]

Laboratoire Paul Painlevé - UMR 8524
Chebana, Fateh [Auteur]
Centre Eau Terre Environnement [Québec] [INRS - ETE]
Ouarda, Taha B. M. J. [Auteur]
Centre Eau Terre Environnement [Québec] [INRS - ETE]

Titre de la revue :

Advances in Water Resources

Nom court de la revue :

Adv. Water Resour.

Numéro :

137

Date de publication :

2020-04-04

ISSN :

0309-1708

Mot(s)-clé(s) en anglais :

Flood
Hydrology
Change point detection
Functional data analysis

Discipline(s) HAL :

Sciences du Vivant [q-bio]

Résumé en anglais : [en]

Change point detection methods have an important role in many hydrological and hydraulic studies of river basins. These methods are very useful to characterize changes in hydrological regimes and can, therefore, lead to ...
Lire la suite >Change point detection methods have an important role in many hydrological and hydraulic studies of river basins. These methods are very useful to characterize changes in hydrological regimes and can, therefore, lead to better understanding changes in extreme flows behavior. Flood events are generally characterized by a finite number of characteristics that may not include the entire information available in a discharge time series. The aim of the current work is to present a new approach to detect changes in flood events based on a functional data analysis framework. The use of the functional approach allows taking into account the whole information contained in the discharge time series of flood events. The presented methodology is illustrated on a flood analysis case study, from the province of Quebec, Canada. Obtained results using the proposed approach are consistent with those obtained using a traditional change point method, and demonstrate the capability of the functional framework to simultaneously consider several flood features and, therefore, presenting a comprehensive way for a better exploitation of the information contained in a discharge time series.Lire moins >

Langue :

Anglais

Audience :

Internationale

Vulgarisation :

Non

Établissement(s) :

Université de Lille
CHU Lille

Collections :

METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694

Date de dépôt :

2023-11-15T09:40:32Z
2023-12-14T14:48:02Z

Fichiers

P3690.pdf
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Numéro de version	Lien	Date de modification
2	20.500.12210/90733*	2023-12-14T14:41:57Z
1	20.500.12210/90733.1	2023-11-15T09:40:32Z

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Change point detection of flood events ...

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Excel

RIS