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The Development and Application of a Flood Risk Model for the Czech Republic

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  • HARVEY RODDA

Abstract

A flood risk model was developed for the Czech Republic to calculate the probability of insured losses from flood events. The model was GIS based, making use of a 100 m horizontal resolution DTM and a network of the major rivers in the country. A review of historical flooding was undertaken to define the worst and most widespread flood events. Synthetic flood events were generated based on a study of the spatial variation in magnitude of river flows from selected historical flood events going back to 1935. A total of 30 synthetic events were generated each providing peak flows at 25 gauging stations throughout the country. The flows were converted into flood levels using rating equations based on information provided by the Czech Hydrological and Meteorological Institute. The extent of and depth of flooding was mapped on a cell by cell basis by applying an automated procedure developed using the grid option within the Arc/Info GIS. The flood depths were combined with maps of the postal codes to define an average flood depth per post code. The model was calibrated using maps of the observed flood extents from 1997 and 2002. Copyright Springer 2005

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:36:y:2005:i:1:p:207-220
    DOI: 10.1007/s11069-004-4549-4
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    Citations

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    Cited by:

    1. Katie Jenkins & Jim Hall & Vassilis Glenis & Chris Kilsby, 2018. "A Probabilistic Analysis of Surface Water Flood Risk in London," Risk Analysis, John Wiley & Sons, vol. 38(6), pages 1169-1182, June.
    2. Choong-Sung Yi & Jin-Hee Lee & Myung-Pil Shim, 2010. "GIS-based distributed technique for assessing economic loss from flood damage: pre-feasibility study for the Anyang Stream Basin in Korea," 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. 55(2), pages 251-272, November.
    3. Heidi Kreibich & Anna Botto & Bruno Merz & Kai Schröter, 2017. "Probabilistic, Multivariable Flood Loss Modeling on the Mesoscale with BT‐FLEMO," Risk Analysis, John Wiley & Sons, vol. 37(4), pages 774-787, April.
    4. H. Moel & B. Jongman & H. Kreibich & B. Merz & E. Penning-Rowsell & P. Ward, 2015. "Flood risk assessments at different spatial scales," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 20(6), pages 865-890, August.
    5. 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.
    6. S. Hochrainer-Stigler & N. Lugeri & M. Radziejewski, 2014. "Up-scaling of impact dependent loss distributions: a hybrid convolution approach for flood risk in Europe," 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. 70(2), pages 1437-1451, January.
    7. H. Apel & G. Aronica & H. Kreibich & A. Thieken, 2009. "Flood risk analyses—how detailed do we need to be?," 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. 49(1), pages 79-98, April.

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