Open Access
Issue |
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
|
|
---|---|---|
Article Number | 18018 | |
Number of page(s) | 9 | |
Section | Forecasting and warning | |
DOI | https://doi.org/10.1051/e3sconf/20160718018 | |
Published online | 20 October 2016 |
- EU (2007): Directive of the European Parliament and of the Council on the assessment and management of flood risks (2007/60/EG); Brussels: Commission of the European Union; http://eur-lex.europa.eu/legalcontent/EN/TXT/PDF/?uri=CELEX:32007L0060&from=EN; [Accessed: 06.03.2015]. [Google Scholar]
- Weerts, H. A., Schellekens, J. and Weiland, F. S. (2010): Real-Time Geospatial Data Handling and Forecasting: Examples from Delft-FEWS Forecasting Platform/System. In: Journal of selected topics in applied earth observation and remote sensing, Vol. 3, No. 3, pp. 386–394. - ISSN 1939-1404. [CrossRef] [Google Scholar]
- Verkade, J. S. and Werner, M. (2011): Estimating the benefits of single value and probability forecasting for flood warning. In: Hydrology and Earth System Science, Vol. 15, pp. 3751–3765. - ISSN 1027-5606. [CrossRef] [Google Scholar]
- UNISDR (2005): Hyogo Framework for Action 2005–2015 – Building the Resilience of Nations and Communities to Disasters; UNISDR (United Nations Office for Disaster Risk Reduction); http://www.unisdr.org/2005/wcdr/intergover/officialdoc/L-docs/Hyogo-framework-for-actionenglish.pdf; [Accessed: 17.05.2016]. [Google Scholar]
- Kron, A. and Nestmann, F. (2009): Operationelles Hochwassermanagement in großräumigen Extremsituationen am Beispiel der Mittleren Elbe. Final report for BMBF- research project. http://www.rimaxhochwasser.de/fileadmin/user_uploads/RIMAX_PUB_18_0005_Schlussbericht_BMBF_0330698B_end_091222+.pdf; [Accessed: 06.03.2015]. [Google Scholar]
- Krzhizhanovskaya, V. V., Shirshov, G. S.,Melnikova, N. B., Belleman, R. G., Rusadi, F. I., Broekhuijsen, B.J., Gouldby, B.P., Lhomme, J., Balis, B., Bubak, M., Pyayt, A. L., Mokhov, I. I., Ozhigin, A. V., Lang, B. and Meijer, R. J. (2011): Flood early warning system: design, implemen-tation and computational modules. In: Procedia Computer Science, Vol. 4, pp. 106–115. - ISSN 1877-0509. [Google Scholar]
- Dale, M., Wicks, J., Mylne, K., Pappenberger, F., Laeger, S. and Taylor, S. (2014): Probabilistic flood forecasting and decision-making: an innovative risk based approach. In: Natural Hazards, Vol. 70, pp. 159–172. - ISSN 0921-030X. [CrossRef] [Google Scholar]
- Werner, M., Schellekens, J., Gijbers, P., van Dijk, M., van den Akker, O. and Heynert, K. (2013): The Delft-FEWS flow forecasting system. In: Environmental Modelling & Software, Vol. 40, pp. 65–77. - ISSN 1364-8152. [CrossRef] [Google Scholar]
- Hall, J., Dawson, R., Sayers, P., Rosu, C., Chatterton, J. U. and Deakin, R. (2003): A methodology for national-scale flood risk assessment. In: Water & Maritime Engineering, Vol. 156, No. WM3, pp. 235–247. - ISSN 1472-4561. [CrossRef] [Google Scholar]
- Casciati, F. and Faravelli, L. (1991): Fragility Analysis of Complex Structural Systems, West Sussex (GB): John Wiley & Sons Inc. - ISBN 0-86380-114-5. [Google Scholar]
- Schultz, M., Gouldby, B., Simm, J. and Wibowo, J. (2010): Beyond the Factor of Safety: Developing Fragility Curves to Characterize System Reliability. ERDC SR 10 1. G. a. S. Laboratory, USACE. [CrossRef] [Google Scholar]
- Simm, J. Gouldby, B., Sayers, P., Flikweert, J.-J., Wersching, S. and Bramley, M. (2009): Representing fragility of flood and coastal defences: Getting into the detail. In: Flood Risk Management: Research and Practice / Samuels et al. London (GB): Taylor & Francis Group, - ISBN 978-0-415-48507-4. [Google Scholar]
- van der Meer, J. W., ter Horst, W. L. A. and van Velzen, E. H. (2009): Calculation of fragility curves for flood defence assets. In: Flood Risk Management: Research and Practice / Samuels et al. London (GB): Taylor & Francis Group, - ISBN 978-0-415-48507-4. [Google Scholar]
- Vorogushyn, S., Merz, B., Lindenschmidt, K.-E. and, Apel, H. (2010): A new methodology for flood hazard assessment considering dike breaches. In: Water Resources Research, Vol. 46. - ISSN 0043-1397. [Google Scholar]
- Bachmann, D. and Schüttrumpf, H. (2014): Integration der Zuverlässigkeit von Hochwasserschutzbauwerken in die einzugsgebietsbasierte Hochwasserrisikoanalyse. In: Hydrology and water resources management - Germany, Vol. 58, No. 3, pp. 168–177. - ISSN 1439-1783. [Google Scholar]
- Diermanse, F. L. M., De Bruijn, K. M., Beckers, J. V. L. and Kramer, N. L. (2015): Importance sampling for efficient modelling of hydraulic loads in the Rhine–Meuse delta. In: Stochastic Environmental Research and Risk Assessment, Vol. 29, Issue 3, pp. 637–652. – ISSN 1436-3240. [CrossRef] [Google Scholar]
- Bachmann, D., Johann, G., Huber, N.P and Schüttrumpf, H. (2013): Fragility curves in operational dike reliability assessment. – In: Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 7:1, pp. 49–60.- ISSN 1749-9518. [CrossRef] [Google Scholar]
- van der Meij, R. (2013): Overhoogte in Rijnmond-Drechtsteden. Report Deltares 1207828–003. [Google Scholar]
- Stelling, G. S. (2012): Quadtree flood simulations with subgrid digital elevation models. In: Water Management, Vol. 165, Issue WM10, pp. 567–580. -ISSN 1751-7729. [Google Scholar]
- Verheij, H. (2003): Aanpassen van het bresgroeimodel binnen HIS-OM. Report. DelftHydraulics, Delft (NL). [Google Scholar]
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