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Causative classification of river flood events

  • A wide variety of processes controls the time of occurrence, duration, extent, and severity of river floods. Classifying flood events by their causative processes may assist in enhancing the accuracy of local and regional flood frequency estimates and support the detection and interpretation of any changes in flood occurrence and magnitudes. This paper provides a critical review of existing causative classifications of instrumental and preinstrumental series of flood events, discusses their validity and applications, and identifies opportunities for moving toward more comprehensive approaches. So far no unified definition of causative mechanisms of flood events exists. Existing frameworks for classification of instrumental and preinstrumental series of flood events adopt different perspectives: hydroclimatic (large-scale circulation patterns and atmospheric state at the time of the event), hydrological (catchment scale precipitation patterns and antecedent catchment state), and hydrograph-based (indirectly considering generatingA wide variety of processes controls the time of occurrence, duration, extent, and severity of river floods. Classifying flood events by their causative processes may assist in enhancing the accuracy of local and regional flood frequency estimates and support the detection and interpretation of any changes in flood occurrence and magnitudes. This paper provides a critical review of existing causative classifications of instrumental and preinstrumental series of flood events, discusses their validity and applications, and identifies opportunities for moving toward more comprehensive approaches. So far no unified definition of causative mechanisms of flood events exists. Existing frameworks for classification of instrumental and preinstrumental series of flood events adopt different perspectives: hydroclimatic (large-scale circulation patterns and atmospheric state at the time of the event), hydrological (catchment scale precipitation patterns and antecedent catchment state), and hydrograph-based (indirectly considering generating mechanisms through their effects on hydrograph characteristics). All of these approaches intend to capture the flood generating mechanisms and are useful for characterizing the flood processes at various spatial and temporal scales. However, uncertainty analyses with respect to indicators, classification methods, and data to assess the robustness of the classification are rarely performed which limits the transferability across different geographic regions. It is argued that more rigorous testing is needed. There are opportunities for extending classification methods to include indicators of space-time dynamics of rainfall, antecedent wetness, and routing effects, which will make the classification schemes even more useful for understanding and estimating floods. This article is categorized under: Science of Water > Water Extremes Science of Water > Hydrological Processes Science of Water > Methodsshow moreshow less

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Author details:Larisa TarasovaORCiD, Ralf MerzORCiD, Andrea Kiss, Stefano Basso, Günter Blöchl, Bruno MerzORCiDGND, Alberto ViglioneORCiD, Stefan Plötner, Björn Guse, Andreas Schumann, Svenja FischerORCiD, Bodo AhrensORCiD, Faizan Anwar, András Bárdossy, Philipp Bühler, Uwe Haberlandt, Heidi KreibichORCiDGND, Amelie KrugORCiD, David Lun, Hannes Müller-Thomy, Ross Pidoto, Cristina Primo, Jochen SeidelORCiD, Sergiy VorogushynORCiDGND, Luzie Wietzke
DOI:https://doi.org/10.1002/wat2.1353
ISSN:2049-1948
Pubmed ID:https://pubmed.ncbi.nlm.nih.gov/31423301
Title of parent work (English):Wiley Interdisciplinary Reviews : Water
Publisher:Wiley
Place of publishing:Hoboken
Publication type:Review
Language:English
Year of first publication:2019
Publication year:2019
Release date:2021/01/18
Tag:flood genesis; flood mechanisms; flood typology; historical floods; hydroclimatology of floods
Volume:6
Issue:4
Number of pages:23
Funding institution:Austrian Science FundAustrian Science Fund (FWF) [I 3174]; Deutsche ForschungsgemeinschaftGerman Research Foundation (DFG) [FOR 2416]
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 - Namensnennung 4.0 International
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