Toward a User-Based, Robust and Fast Running Method for Coastal Flooding Forecast, Early Warning, and Risk Prevention
| Autor: | Thierry Klein, Déborah Idier, Sylvestre Le Roy, Jessie Louisor, Jérôme Lambert, Axel Aurouet, Anne-Lise Véron, Renaud Mouche, José Betancourt, Audrey Baills, Jeremy Rohmer, Gonéri Le Cozannet, François Bachoc, Fabrice Gamboa, Jonathan Durand, Rodrigo Pedreros |
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| Přispěvatelé: | Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Société GéoHyd, Institut de Mathématiques de Toulouse UMR5219 (IMT), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS), Ecole Nationale de l'Aviation Civile (ENAC), ANR-16-CE04-0011,RISCOPE,Système d'alerte de submersion côtière centré sur le risque(2016), ANR-19-P3IA-0004,ANITI,Artificial and Natural Intelligence Toulouse Institute(2019), Université Toulouse Capitole (UT Capitole), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Université de Toulouse (UT)-Institut National des Sciences Appliquées (INSA)-Université Toulouse - Jean Jaurès (UT2J), Université de Toulouse (UT)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Return period
Decision support system 010504 meteorology & atmospheric sciences Ecology Warning system business.industry Computer science Environmental resource management 02 engineering and technology 021001 nanoscience & nanotechnology 01 natural sciences Hazard [SDE.ES]Environmental Sciences/Environmental and Society Key (cryptography) Early warning system Risk prevention 14. Life underwater 0210 nano-technology business Coastal flood ComputingMilieux_MISCELLANEOUS [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography 0105 earth and related environmental sciences Earth-Surface Processes Water Science and Technology |
| Zdroj: | Journal of Coastal Research Journal of Coastal Research, Coastal Education and Research Foundation, 2020, Special issue : Proceedings from the International Coastal Symposium (ICS) 2020, 95, pp.11-15. ⟨10.2112/SI95-216.1⟩ Journal of Coastal Research, 2020, Special issue : Proceedings from the International Coastal Symposium (ICS) 2020, 95, pp.11-15. ⟨10.2112/SI95-216.1⟩ |
| ISSN: | 0749-0208 1551-5036 |
| Popis: | Idier, D.; Aurouet, A.; Bachoc, F.; Baills, A.; Betancourt, J.; Durand, J.; Mouche, R.; Rohmer, J.; Gamboa, F.; Klein T.; Lambert, J.; Le Cozannet, G.; Le Roy, S.; Louisor, J.; Pedreros, R., and Veron, A.L., 2020. Toward a user-based, robust and fast running method for coastal flooding forecast, early warning, and risk prevention. In: Malvarez, G. and Navas, F. (eds.), Global Coastal Issues of 2020. Journal of Coastal Research, Special Issue No. 95, pp. 1111–1116. Coconut Creek (Florida), ISSN 0749-0208.Scientific progresses now allow properly modelling coastal flooding events. Such models are nevertheless very expensive in terms of computation time (>hours) which prevents any use for forecast and warning or even for estimating the coastal flood hazard return period together with uncertainties. In addition, there is a gap between model outputs and information actually needed by the decision makers. Within the RISCOPE project, we aim at developing a user-based method contributing to forecast, early-warning and prevention of coastal flooding risks. The method should be robust, fast and integrate the complexity of coastal flood processes. To build such coastal flooding models, the solution explored relies on meta-models, i.e. mathematical functions which estimate, with good precision and at a negligible computational cost ( |
| Databáze: | OpenAIRE |
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