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A continuous modelling approach for design flood estimation on sub-daily time scale

  • Design flood estimation is an essential part of flood risk assessment. Commonly applied are flood frequency analyses and design storm approaches, while the derived flood frequency using continuous simulation has been getting more attention recently. In this study, a continuous hydrological modelling approach on an hourly time scale, driven by a multi-site weather generator in combination with a -nearest neighbour resampling procedure, based on the method of fragments, is applied. The derived 100-year flood estimates in 16 catchments in Vorarlberg (Austria) are compared to (a) the flood frequency analysis based on observed discharges, and (b) a design storm approach. Besides the peak flows, the corresponding runoff volumes are analysed. The spatial dependence structure of the synthetically generated flood peaks is validated against observations. It can be demonstrated that the continuous modelling approach can achieve plausible results and shows a large variability in runoff volume across the flood events.

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Author details:Benjamin WinterORCiD, Klaus SchneebergerORCiD, N. V. Dung, M. Huttenlau, S. Achleitner, J. Stötter, Bruno MerzORCiDGND, Sergiy VorogushynORCiDGND
DOI:https://doi.org/10.1080/02626667.2019.1593419
ISSN:0262-6667
ISSN:2150-3435
Title of parent work (English):Hydrological sciences journal = Journal des sciences hydrologiques
Publisher:Routledge, Taylor & Francis Group
Place of publishing:Abingdon
Publication type:Article
Language:English
Date of first publication:2019/04/08
Publication year:2019
Release date:2021/03/05
Tag:continuous modelling; derived flood frequency; flood hazard; synthetic flood events; temporal disaggregation
Volume:64
Issue:5
Number of pages:16
First page:539
Last Page:554
Funding institution:Austrian Research Promotion Agency (FFG), COMET; Austrian Climate and Energy Fund (ACRP 8th call) [KR15AC8K12522]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften
DDC classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Peer review:Referiert
Publishing method:Open Access / Hybrid Open-Access
License (German):License LogoCC-BY-NC-ND - Namensnennung, nicht kommerziell, keine Bearbeitungen 4.0 International
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