Movatterモバイル変換


[0]ホーム

URL:


Skip to main content
Springer Nature Link
Log in

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

  • Original Paper
  • Published:
Stochastic Environmental Research and Risk Assessment Aims and scope Submit manuscript

Abstract

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.

This is a preview of subscription content,log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

Download references

Acknowledgements

We thank the Federal Office for the Environment (FOEN) for funding the project (contract 13.0028.KP/M285-0623) and for providing runoff measurement data. We also thank MeteoSwiss for providing precipitation data. The data used in this study is available upon order from the FOEN and MeteoSwiss. For the hydrological data of the federal stations, the order form underhttp://www.bafu.admin.ch/wasser/13462/13494/15076/index.html?lang=de can be used. The hydrological data of the cantonal stations can be ordered from the respective cantons. The meteorological data can be ordered viahttps://shop.meteoswiss.ch/index.html. We thank the associate editor and the four reviewers for their constructive and detailed comments.

Author information

Authors and Affiliations

  1. Department of Geography, University of Zurich, Zurich, Switzerland

    Manuela I. Brunner, Anna E. Sikorska, Daniel Viviroli & Jan Seibert

  2. Université Grenoble-Alpes, CNRS, IRD, IGE, Grenoble INP, Grenoble, France

    Manuela I. Brunner & Anne-Catherine Favre

  3. Department of Mathematics, University of Zurich, Zurich, Switzerland

    Reinhard Furrer

  4. Department of Computational Science, University of Zurich, Zurich, Switzerland

    Reinhard Furrer

  5. Department of Hydraulic Engineering, Warsaw University of Life Sciences, SGGW, Warsaw, Poland

    Anna E. Sikorska

  6. belop gmbh, Sarnen, Switzerland

    Daniel Viviroli

  7. Department of Earth Sciences, Uppsala University, Uppsala, Sweden

    Jan Seibert

Authors
  1. Manuela I. Brunner

    You can also search for this author inPubMed Google Scholar

  2. Reinhard Furrer

    You can also search for this author inPubMed Google Scholar

  3. Anna E. Sikorska

    You can also search for this author inPubMed Google Scholar

  4. Daniel Viviroli

    You can also search for this author inPubMed Google Scholar

  5. Jan Seibert

    You can also search for this author inPubMed Google Scholar

  6. Anne-Catherine Favre

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence toManuela I. Brunner.

Appendix: List of stations used in this regionalization study

Appendix: List of stations used in this regionalization study

See Table 5.

Table 5 List of stations used in this regionalization study, a summary of their catchment characteristics, and their locally estimated SDH parameters (last ten columns)

Rights and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Brunner, M.I., Furrer, R., Sikorska, A.E.et al. Synthetic design hydrographs for ungauged catchments: a comparison of regionalization methods.Stoch Environ Res Risk Assess32, 1993–2023 (2018). https://doi.org/10.1007/s00477-018-1523-3

Download citation

Keywords

Access this article

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Advertisement


[8]ページ先頭

©2009-2025 Movatter.jp