Second cycle degree in MATHEMATICAL ENGINEERING - INGEGNERIA MATEMATICA (Ord. 2015) (discontinued)

Campus: PADOVA

Language: English

Teaching period: Second Semester

Lecturer: -- --

Number of ECTS credits allocated: 6

Prerequisites: None
Examination methods: The final evaluation will be carried out as follows:
1) The student will deliver - better if a few days in advance - a small document containing the 3 numerical exercises developed in class (completed by each group, formed by 3-4 persons).
2) Then, the student will answer 2 questions (the complete list of possible questions will be given during the course). He will have 10 minutes to answer each question.
Course unit contents: 1. Introduction (4h)
Motivations and objectives
What is coastal flooding hazard
The drivers: the causes of coastal flooding
Effect of “Climate change” or “Global Warming” on sea level rise
Mitigation measures: examples

2. Geophysical fluid dynamics (6h)
Description of the dynamics of the atmosphere and of the oceans and main drivers for coastal flooding.
Domain Equations
Geostrophic wind, winds at the ocean, wind distribution, friction
Tide: physics. The Equilibrium Theory of Tides. The Lagrangian Tidal Equations..
Exercise in Matlab (application of LTE)

3. The waves (10 h)
Bernoulli Theorem, Linear wave theory, wave kinematic
Irregular nature of the waves, Rayleigh distribution, definition of significant wave
Fourier analysis and wave spectrum.
Exercise in Matlab (Periodogram. spectum, filter)
Wave energy, wave transformation processes (shoaling, refraction, diffraction, breaking, runup)
Exercise in Matlab (wave transformation on a real profile)
Shallow water eq. and coastal hydrodynamics, setup, longshore currents. Surge

4. Sediment transport (4h)
Depth of closure concept. Equilibrium profile. Brunn rule.
Longshore sediment transport. Cross-shore sediment transport. Aeolian transport
Dean diffusive model.
Exercise in Matlab (diffusive model, both finite elements & finite differences)

5. Extreme wave statistics (2h)
Estimation of extreme marine events. Joint statistics of tide and waves
Exercise in Matlab (maximum likelihood fit of 3 parameter distribution to a series of hindcasted data)

6. Reliability analysis (4h)
Failure mechanism for coastal flooding.
Exercise in Matlab (level II method, 1D case)

7. Evaluation of the flooding hazard (4h)
How to produce a Coastal flooding hazard map.
Example in GIS.
Mapping expected value and economic costs related to flooding.
Evaluation of Coastal Flooding Index.
Interactions with river discharge and urban flooding (Tidal inlet)

8. Mitigation measures (4h)
Methods to evaluate the effectiveness of proposed adaptation measures (setback strategy, managed realignment, dike, nourishment, water extraction control,…)

9. Flood management tools (2h)
Examples of DSS for coastal flooding management

10. Modeling coastal flood (2h)
Description of existing models (free operational & commercial)

Exercises (6h)
The student in group will select and develop3 exercises described above and produce a summary report with the exercise objectives, input and output.