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Flood-type classification in mountainous catchments using crisp and fuzzy decision trees
Univ Zurich, Dept Geog, Zurich, Switzerland.;Warsaw Univ Life Sci SGGW, Dept Hydraul Engn, Warsaw, Poland..
Univ Zurich, Dept Geog, Zurich, Switzerland.;Belop Gmbh, Engineers & Experts Nat Hazards, Sarnen, Switzerland..
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, LUVAL. Univ Zurich, Dept Geog, Zurich, Switzerland..ORCID iD: 0000-0002-6314-2124
2015 (English)In: Water resources research, ISSN 0043-1397, E-ISSN 1944-7973, Vol. 51, no 10, 7959-7976 p.Article in journal (Refereed) PublishedText
Abstract [en]

Floods are governed by largely varying processes and thus exhibit various behaviors. Classification of flood events into flood types and the determination of their respective frequency is therefore important for a better understanding and prediction of floods. This study presents a flood classification for identifying flood patterns at a catchment scale by means of a fuzzy decision tree. Hence, events are represented as a spectrum of six main possible flood types that are attributed with their degree of acceptance. Considered types are flash, short rainfall, long rainfall, snow-melt, rainfall on snow and, in high alpine catchments, glacier-melt floods. The fuzzy decision tree also makes it possible to acknowledge the uncertainty present in the identification of flood processes and thus allows for more reliable flood class estimates than using a crisp decision tree, which identifies one flood type per event. Based on the data set in nine Swiss mountainous catchments, it was demonstrated that this approach is less sensitive to uncertainties in the classification attributes than the classical crisp approach. These results show that the fuzzy approach bears additional potential for analyses of flood patterns at a catchment scale and thereby it provides more realistic representation of flood processes.

Place, publisher, year, edition, pages
2015. Vol. 51, no 10, 7959-7976 p.
National Category
Oceanography, Hydrology, Water Resources
URN: urn:nbn:se:uu:diva-277916DOI: 10.1002/2015WR017326ISI: 000368418400008OAI: oai:DiVA.org:uu-277916DiVA: diva2:906018
Available from: 2016-02-23 Created: 2016-02-23 Last updated: 2016-02-23Bibliographically approved

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