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Synthetic design hydrographs for ungauged catchments : a comparison of regionalization methods

Brunner, Manuela I. (författare)
Univ Zurich, Dept Geog, Zurich, Switzerland;Univ Grenoble Alpes, CNRS, IRD, IGE,Grenoble INP, Grenoble, France
Furrer, Reinhard (författare)
Univ Zurich, Dept Math, Zurich, Switzerland;Univ Zurich, Dept Computat Sci, Zurich, Switzerland
Sikorska, Anna E. (författare)
Univ Zurich, Dept Geog, Zurich, Switzerland;Warsaw Univ Life Sci, SGGW, Dept Hydraul Engn, Warsaw, Poland
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Viviroli, Daniel (författare)
Univ Zurich, Dept Geog, Zurich, Switzerland;Belop Gmbh, Sarnen, Switzerland
Seibert, Jan, 1968- (författare)
Uppsala universitet,Luft-, vatten- och landskapslära,Univ Zurich, Dept Geog, Zurich, Switzerland
Favre, Anne-Catherine (författare)
Univ Grenoble Alpes, CNRS, IRD, IGE,Grenoble INP, Grenoble, France
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 (creator_code:org_t)
2018-02-24
2018
Engelska.
Ingår i: Stochastic environmental research and risk assessment (Print). - : Springer Science and Business Media LLC. - 1436-3240 .- 1436-3259. ; 32:7, s. 1993-2023
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Design flood estimates for a given return period are required in both gauged and ungauged catchments for hydraulic design and risk assessments. Contrary to classical design estimates, synthetic design hydrographs provide not only information on the peak magnitude of events but also on the corresponding hydrograph volumes together with the hydrograph shapes. In this study, we tested different regionalization approaches to transfer parameters of synthetic design hydrographs from gauged to ungauged catchments. These approaches include classical regionalization methods such as linear regression techniques, spatial methods, and methods based on the formation of homogeneous regions. In addition to these classical approaches, we tested nonlinear regression models not commonly used in hydrological regionalization studies, such as random forest, bagging, and boosting. We found that parameters related to the magnitude of the design event can be regionalized well using both linear and nonlinear regression techniques using catchment area, length of the main channel, maximum precipitation intensity, and relief energy as explanatory variables. The hydrograph shape, however, was found to be more difficult to regionalize due to its high variability within a catchment. Such variability might be better represented by looking at flood-type specific synthetic design hydrographs.

Ämnesord

NATURVETENSKAP  -- Geovetenskap och miljövetenskap -- Oceanografi, hydrologi och vattenresurser (hsv//swe)
NATURAL SCIENCES  -- Earth and Related Environmental Sciences -- Oceanography, Hydrology and Water Resources (hsv//eng)

Nyckelord

Regionalization
Ungauged catchments
Design hydrographs
Flood estimation
Regression trees

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