Articles | Volume 20, issue 10
Nat. Hazards Earth Syst. Sci., 20, 2647–2663, 2020
https://doi.org/10.5194/nhess-20-2647-2020
Nat. Hazards Earth Syst. Sci., 20, 2647–2663, 2020
https://doi.org/10.5194/nhess-20-2647-2020

Research article 06 Oct 2020

Research article | 06 Oct 2020

Building hazard maps with differentiated risk perception for flood impact assessment

Punit K. Bhola et al.

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Cited articles

Alfieri, L., Feyen, L., Salamon, P., Thielen, J., Bianchi, A., Dottori, F., and Burek, P.: Modelling the socio-economic impact of river floods in Europe, Nat. Hazards Earth Syst. Sci., 16, 1401–1411, https://doi.org/10.5194/nhess-16-1401-2016, 2016. 
Bartels, J., Seidel, J., Bardossy, A., Bliefernicht, J., Kunstmann, H., Kunstmann, H., Johst, M., and Demuth, N.: Bewertung von Ensemble-Abflussvorhersagen für die operationelle Hochwasserwarnung, Hydrol. Wasserbewirts., 61, 297–310, https://doi.org/10.5675/HyWa_2017,5_1, 2017. 
Bates, P. D., Pappenberger, F., and Romanowicz, R. J.: Uncertainty in Flood Inundation Modelling, in: Applied Uncertainty Analysis for Flood Risk Management, edited by: Beven, K., and Hall, J., Imperial College Press, London, UK, 232–269, ISBN 978-1-78326-312-7, 2014. 
Beg, M. N. A., Leandro, J., Bhola, P., Konnerth, I., Amin, K., Koeck, F., Carvalho, R. F., and Disse, M.: Flood Forecasting with Uncertainty Using a Fully Automated Flood Model Chain: A Case Study for the City of Kulmbach, HIC 2018, in: 13th International Conference on Hydroinformatics, 1–5 July 2018, Palermo, Italy, 2018. 
Bermúdez, M. and Zischg, A. P.: Sensitivity of flood loss estimates to building representation and flow depth attribution methods in micro-scale flood modelling, Nat. Hazards, 92, 1633–1648. https://doi.org/10.1007/s11069-018-3270-7, 2018. 
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Short summary
In operational flood risk management, a single best model is used to assess the impact of flooding, which might misrepresent uncertainties in the modelling process. We have used quantified uncertainties in flood forecasting to generate flood hazard maps that were combined based on different exceedance probability scenarios with the purpose to differentiate impacts of flooding and to account for uncertainties in flood hazard maps that can be used by decision makers.
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