The effect of coupling hydrologic and hydrodynamic models on probable maximum flood estimation

Felder, Guido; Zischg, Andreas Paul; Weingartner, Rolf (2017). The effect of coupling hydrologic and hydrodynamic models on probable maximum flood estimation. Journal of hydrology, 550, pp. 157-165. Elsevier 10.1016/j.jhydrol.2017.04.052

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Deterministic rainfall-runoff modelling usually assumes stationary hydrological system, as model parameters are calibrated with and therefore dependant on observed data. However, runoff processes are probably not stationary in the case of a probable maximum flood (PMF) where discharge greatly exceeds observed flood peaks. Developing hydrodynamic models and using them to build coupled hydrologic-hydrodynamic models can potentially improve the plausibility of PMF estimations. This study aims to assess the potential benefits and constraints of coupled modelling compared to standard deterministic hydrologic modelling when it comes to PMF estimation. The two modelling approaches are applied using a set of 100 spatio-temporal probable maximum precipitation (PMP) distribution scenarios. The resulting hydrographs, the resulting peak discharges as well as the reliability and the plausibility of the estimates are evaluated. The discussion of the results shows that coupling hydrologic and hydrodynamic models substantially improves the physical plausibility of PMF modelling, although both modelling approaches lead to PMF estimations for the catchment outlet that fall within a similar range. Using a coupled model is particularly suggested in cases where considerable flood-prone areas are situated within a catchment.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Geography > Physical Geography > Unit Hydrology
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR) > MobiLab
10 Strategic Research Centers > Oeschger Centre for Climate Change Research (OCCR)
08 Faculty of Science > Institute of Geography
08 Faculty of Science > Institute of Geography > Physical Geography

UniBE Contributor:

Felder, Guido, Zischg, Andreas Paul, Weingartner, Rolf

Subjects:

900 History > 910 Geography & travel
500 Science > 550 Earth sciences & geology

ISSN:

0022-1694

Publisher:

Elsevier

Projects:

[245] Mobiliar Lab für Naturrisiken Official URL

Language:

English

Submitter:

Monika Wälti-Stampfli

Date Deposited:

18 May 2017 11:49

Last Modified:

16 Feb 2023 10:23

Publisher DOI:

10.1016/j.jhydrol.2017.04.052

BORIS DOI:

10.7892/boris.99628

URI:

https://boris.unibe.ch/id/eprint/99628

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