Details zur Publikation

Referenztyp Zeitschriften
DOI / URL Link
Titel (primär) Causative classification of river flood events
Autor Tarasova, L.; Merz, R.; Kiss, A.; Basso, S.; Blöschl, G.; Merz, B.; Viglione, A.; Plötner, S.; Guse, B.; Schumann, A.; Fischer, S.; Ahrens, B.; Anwar, F.; Bárdossy, A.; Bühler, P.; Haberlandt, U.; Kreibich, H.; Krug, A.; Lun, D.; Müller‐Thomy, H.; Pidoto, R.; Primo, C.; Seidel, J.; Vorogushyn, S.; Wietzke, L.;
Journal / Serie Wiley Interdisciplinary Reviews-Water (WIREs Water)
Erscheinungsjahr 2019
Department CATHYD;
Band/Volume 6
Heft 4
Sprache englisch;
POF III (gesamt) T31;
Keywords flood genesis; flood mechanisms; flood typology; historical floods; hydroclimatology of floods
Abstract 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 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.
ID 21986
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=21986
Tarasova, L., Merz, R., Kiss, A., Basso, S., Blöschl, G., Merz, B., Viglione, A., Plötner, S., Guse, B., Schumann, A., Fischer, S., Ahrens, B., Anwar, F., Bárdossy, A., Bühler, P., Haberlandt, U., Kreibich, H., Krug, A., Lun, D., Müller‐Thomy, H., Pidoto, R., Primo, C., Seidel, J., Vorogushyn, S., Wietzke, L. (2019):
Causative classification of river flood events
Wiley Interdiscip. Rev.-Water 6 (4), e1353