Hyper-resolution flood hazard mapping at the national scale
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Published:2024-06-24
Issue:6
Volume:24
Page:2071-2091
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ISSN:1684-9981
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Container-title:Natural Hazards and Earth System Sciences
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language:en
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Short-container-title:Nat. Hazards Earth Syst. Sci.
Author:
Blöschl GünterORCID, Buttinger-Kreuzhuber Andreas, Cornel Daniel, Eisl Julia, Hofer Michael, Hollaus Markus, Horváth Zsolt, Komma Jürgen, Konev Artem, Parajka JurajORCID, Pfeifer Norbert, Reithofer Andreas, Salinas JoséORCID, Valent PeterORCID, Výleta Roman, Waser Jürgen, Wimmer Michael H., Stiefelmeyer Heinz
Abstract
Abstract. Flood hazard mapping is currently in a transitional phase involving the use of data and methods that were traditionally in the domain of local studies in a regional or nationwide context. Challenges include the representation of local information such as hydrological particularities and small hydraulic structures, as well as computational and labour costs. This paper proposes a methodology of flood hazard mapping that merges the best of the two worlds (local and regional studies) based on experiences in Austria. The analysis steps include (a) quality control and correction of river network and catchment boundary data; (b) estimation of flood discharge peaks and volumes on the entire river network; (c) creation of a digital elevation model (DEM) that is consistent with all relevant flood information, including riverbed geometry; and (d) simulation of inundation patterns and velocities associated with a consistent flood return period across the entire river network. In each step, automatic methods are combined with manual interventions in order to maximise the efficiency and at the same time ensure estimation accuracy similar to that of local studies. The accuracy of the estimates is evaluated in each step. The study uses flood discharge records from 781 stations to estimate flood hazard patterns of a given return period at a resolution of 2 m over a total stream length of 38 000 km. It is argued that a combined local–regional methodology will advance flood mapping, making it even more useful in nationwide or global contexts.
Funder
Österreichische Forschungsförderungsgesellschaft
Publisher
Copernicus GmbH
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