Change point detection of flood events using a functional data framework

Alaya, Mohamed Ali Ben; Ternynck, Camille; Dabo-Niang, Sophie; Chebana, Fateh; Ouarda, Taha

Document type :

Compte-rendu et recension critique d'ouvrage

DOI :

10.1016/j.advwatres.2020.103522

Title :

Change point detection of flood events using a functional data framework

Author(s) :

Alaya, Mohamed Ali Ben []
Institut National de la Recherche Scientifique [Québec] [INRS]
Ternynck, Camille [Auteur]

Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Dabo-Niang, Sophie [Auteur]
MOdel for Data Analysis and Learning [MODAL]
Chebana, Fateh [Auteur]
Institut National de la Recherche Scientifique [Québec] [INRS]
Ouarda, Taha [Auteur]
Institut National de la Recherche Scientifique [Québec] [INRS]

Journal title :

Advances in Water Resources

Pages :

103522

Publisher :

Elsevier

Publication date :

2020-03

ISSN :

0309-1708

English keyword(s) :

Functional data analysis
Change point detection
Hydrology
Flood

HAL domain(s) :

Mathématiques [math]/Statistiques [math.ST]

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Popular science :

Non

Collections :

Laboratoire Paul Painlevé - UMR 8524

Source :

Harvested from HAL

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