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National flood discharge mapping in Austria

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  • Ralf Merz
  • Günter Blöschl
  • Günter Humer

Abstract

This article presents the approach and the results of a study in which 30, 100 and 200 year return period flood discharges were estimated for 26,000 km of Austrian streams. Three guiding principles were adopted: combination of automatic methods and manual assessments by hydrologists to allow speedy processing and account for the local hydrological situation; combination of various sources of information including flood peak samples, rainfall data, runoff coefficients and historical flood data; and involvement of the Hydrographic Services to increase the accuracy and enhance the acceptance of results. The flood discharges for ungauged catchments were estimated by the Top-kriging approach with manual adjustment to the local flood characteristics. The adopted combination approach proved to be very efficient both in terms of the project time required and in terms of the accuracy and acceptability of the estimated flood discharges of given return periods. Copyright Springer Science+Business Media B.V. 2008

Suggested Citation

  • Ralf Merz & Günter Blöschl & Günter Humer, 2008. "National flood discharge mapping in Austria," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 46(1), pages 53-72, July.
  • Handle: RePEc:spr:nathaz:v:46:y:2008:i:1:p:53-72
    DOI: 10.1007/s11069-007-9181-7
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    References listed on IDEAS

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    1. Jim Hall & Paul Sayers & Richard Dawson, 2005. "National-scale Assessment of Current and Future Flood Risk in England and Wales," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 36(1), pages 147-164, September.
    2. Harvey Rodda, 2005. "The Development and Application of a Flood Risk Model for the Czech Republic," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 36(1), pages 207-220, September.
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    2. C. Neuhold, 2013. "Identifying flood-prone landfills at different spatial scales," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(3), pages 1425-1440, September.
    3. C. Neuhold, 2013. "Identifying flood-prone landfills at different spatial scales," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 2015-2030, February.
    4. Franz Sinabell & Georg Böhs & Stephanie Lackner & Dieter Pennerstorfer & Helmut Habersack & Lukas Löschner & Roswitha Samek & Bernhard Schober & Walter Seher, 2016. "Naturgefahren und die Belastung von Landeshaushalten," WIFO Studies, WIFO, number 58785, April.
    5. Sabrina Ali & Ataur Rahman, 2022. "Development of a kriging-based regional flood frequency analysis technique for South-East Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 114(3), pages 2739-2765, December.
    6. Klaus Schneeberger & Matthias Huttenlau & Benjamin Winter & Thomas Steinberger & Stefan Achleitner & Johann Stötter, 2019. "A Probabilistic Framework for Risk Analysis of Widespread Flood Events: A Proof‐of‐Concept Study," Risk Analysis, John Wiley & Sons, vol. 39(1), pages 125-139, January.
    7. B. Winter & K. Schneeberger & M. Huttenlau & J. Stötter, 2018. "Sources of uncertainty in a probabilistic flood risk model," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 91(2), pages 431-446, March.
    8. Ayesha Rahman & Ataur Rahman & Mohammad Zaman & Khaled Haddad & Amimul Ahsan & Monzur Imteaz, 2013. "A study on selection of probability distributions for at-site flood frequency analysis in Australia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1803-1813, December.
    9. Junfu Gong & Cheng Yao & Zhijia Li & Yuanfang Chen & Yingchun Huang & Bingxing Tong, 2021. "Improving the flood forecasting capability of the Xinanjiang model for small- and medium-sized ungauged catchments in South China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 2077-2109, April.

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