The prediction of floods in Venice: methods, models and uncertainty (review article) - La Rochelle Université
Article Dans Une Revue Natural Hazards and Earth System Sciences Année : 2021

The prediction of floods in Venice: methods, models and uncertainty (review article)

Marco Bajo
Alvise Papa
  • Fonction : Auteur
X. Bertin
Begoña Pérez Gómez
  • Fonction : Auteur
Enrique Alvarez Fanjul
  • Fonction : Auteur
Denis Paradis

Résumé

Abstract. This paper reviews the state of the art in storm surge forecasting and its particular application in the northern Adriatic Sea. The city of Venice already depends on operational storm surge forecasting systems to warn the population and economy of imminent flood threats, as well as help to protect the extensive cultural heritage. This will be more important in the future, with the new mobile barriers called MOSE (MOdulo Sperimentale Elettromeccanico, Experimental Electromechanical Module) that will be completed by 2021. The barriers will depend on accurate storm surge forecasting to control their operation. In this paper, the physics behind the flooding of Venice is discussed, and the state of the art of storm surge forecasting in Europe is reviewed. The challenges for the surge forecasting systems are analyzed, especially in view of uncertainty. This includes consideration of selected historic extreme events that were particularly difficult to forecast. Four potential improvements are identified: (1) improve meteorological forecasts, (2) develop ensemble forecasting, (3) assimilation of water level measurements and (4) develop a multimodel approach.
Fichier principal
Vignette du fichier
Umgiesser et al_NHESS2021.pdf (5.54 Mo) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03452981 , version 1 (27-11-2021)

Identifiants

Citer

Georg Umgiesser, Marco Bajo, Christian Ferrarin, Andrea Cucco, Piero Lionello, et al.. The prediction of floods in Venice: methods, models and uncertainty (review article). Natural Hazards and Earth System Sciences, 2021, 21 (8), pp.2679 - 2704. ⟨10.5194/nhess-21-2679-2021⟩. ⟨hal-03452981⟩
38 Consultations
156 Téléchargements

Altmetric

Partager

More