A functional framework for flow-duration-curve and daily streamflow estimation at ungauged sites.

Requena, Ana Isabel; Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179 et Ouarda, Taha B. M. J. ORCID: https://orcid.org/0000-0002-0969-063X (2018). A functional framework for flow-duration-curve and daily streamflow estimation at ungauged sites. Advances in Water Resources , vol. 113 . pp. 328-340. DOI: 10.1016/j.advwatres.2018.01.019.

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Résumé

Flow duration curves (FDC) are used to obtain daily streamflow series at ungauged sites. In this study, functional multiple regression (FMR) is proposed for FDC estimation. Its natural framework for dealing with curves allows obtaining the FDC as a whole instead of a limited number of single points. FMR assessment is performed through a case study in Quebec, Canada. FMR provides a better mean FDC estimation when obtained over sites by considering simultaneously all FDC quantiles in the assessment of each given site. However, traditional regression provides a better mean FDC estimation when obtained over given FDC quantiles by considering all sites in the assessment of each quantile separately. Mean daily streamflow estimation is similar; yet FMR provides an improved estimation for most sites. Furthermore, FMR represents a more suitable framework and provides a number of practical advantages, such as insight into descriptor influence on FDC quantiles. Hence, traditional regression may be preferred if only few FDC quantiles are of interest; whereas FMR would be more suitable if a large number of FDC quantiles is of interest, and therefore to estimate daily streamflows.

Type de document:	Article
Mots-clés libres:	ungauged site; functional data analysis; functional multiple regression; flow duration curve; daily streamflow estimation; quantile
Centre:	Centre Eau Terre Environnement
Date de dépôt:	09 avr. 2018 14:41
Dernière modification:	15 févr. 2022 20:24
URI:	https://espace.inrs.ca/id/eprint/6879

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