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Lecturer: F. Dottori 

Data and Methods for global scale flood risk assessment a.y. 2020/21

Programma

The course will give an overview of the present state of the art of global scale flood risk assessment. The first part of the course will provide an introduction to the motivations and challenges associated with modelling flood risk at continental and global scales. The second part will present a number of existing global datasets and modelling frameworks, describing how hazard, vulnerability and exposure components are derived to evaluate flood risk. The overview will focus on freely available tools and datasets. Moreover, specific applications of global models for emergency support, risk analysis and climate change assessment will be described. The course will include an exercise to familiarise the students with the use of global tools and data for flood risk analysis. 

Svolgimento

March 9th, 2021, 9 - 13
March 10th, 2021, 9 - 13
March 11th, 2021, 9 - 13; 14 - 17

NEW

March 9th 2021: 11-13 e 14-16   (theory)
March 10th 2021: 11-13 e 14-16  (theory- exercize)
March 11th 2021: 9:30-13:00 (exercize)
March 18th 2021: 14:00-17:30 (exercize)

 

Bibliografia

  • Beven, K. J. (2011). Rainfall-runoff modelling: the primer. John Wiley & Sons.
  • Dottori, F., et al. (2018). Increased human and economic losses from river flooding with anthropogenic warming. Nature Climate Change, 8(9), 781.
  • Schumann G.J-P., Bates P.D., Apel H.,  Aronica G.T. (2018) Global Flood Hazard: Applications in Modeling, Mapping and Forecasting. AGU - John Wiley & Sons.
  • Trigg, M. A., et al. (2016). The credibility challenge for global fluvial flood risk analysis. Environmental Research Letters, 11.9: 094014.
  • Ward, Philip J., et al. (2015) Usefulness and limitations of global flood risk models. Nature Climate Change 5.8: 712.

Ciclo :  XXXIII, XXXIV, XXXV, XXXVI

Tipologia corso : Seminario

Curriculum : Rischi Idrometeorologici, Geologici, Chimici ed Ambientali

Periodo: Semestre II

Anno accademico: 2020-2021

Luogo : on line

Durata : 15 hours