
Course unit
COASTAL FLOODING HAZARD
INP5070429, A.A. 2019/20
Information concerning the students who enrolled in A.Y. 2018/19
ECTS: details
Type 
ScientificDisciplinary Sector 
Credits allocated 
Educational activities in elective or integrative disciplines 
ICAR/02 
Maritime Hydraulic Construction and Hydrology 
6.0 
Course unit organization
Period 
Second semester 
Year 
2nd Year 
Teaching method 
frontal 
Type of hours 
Credits 
Teaching hours 
Hours of Individual study 
Shifts 
Lecture 
6.0 
48 
102.0 
No turn 
Prerequisites:

None 
Target skills and knowledge:

Coastal flooding is expected to be one of the most important problems in the next 2030 years. It is expected that new jobs will arise to produce risk mapping, design of mitigation works, insurance and legal issues, etc
The course aims at providing the student with the basic knowledge in the field of coastal flooding hazard assessment, and the proper skills in order to keep into account safety, costeffectiveness and environmental criteria. To the purpose, the course will include lectures, practical works, one seminar and a technical tour.
A description of the course is available on youtube and on Mediavideo 
Examination methods:

Prior to the exam, the student will deliver the list of exercises developed in class.
The oral exam will consist of 2 oral questions randomly selected from a list, available to the students in advance.
The student is expected to reply with a 10 minute long answer to each question. 
Assessment criteria:

Evaluation will be based on the:
quality of exercises (50%)
oral examination (50%): excellent answers should be complete, to the point and correct. During the oral examination, the student typically writes on a spear paper equations, graphs or schemes. 
Course unit contents:

Overview of the course program:
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
1. The effect of waves and setup (6 h)
Linear wave theory, wave kinematic
Irregular nature of the waves, Rayleigh distribution, definition of significant wave
Wave energy, wave transformation processes (shoaling, refraction, diffraction, breaking,
runup)
Shallow water eq. and coastal hydrodynamics, setup, longshore currents.
Surge. Depth of closure concept. Equilibrium profile. Brunn rule.
Longshore sediment transport. Crossshore sediment transport. Aeolian transport. Dean
diffusive model.
Exercise in Matlab (Runup, Setup)
2. Tidal dynamics  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. Surge (2 h)
The process. Evaluation of surge due to longshore and cross shore currents. Exercise
in Matlab (Runup, Setup, Surge)
4. Erosion and sediment transport (2 h)
Longshore and crossshore sediment transport. Aeolian transport.
Equilibrium profile. Brunn rule.
Vellinga model for dune erosion.
Dean diffusive model.
Exercise in Matlab (Dune erosion)
5. Mitigation measures (4h)
Possible adaptation measures (setback strategy, managed realignment, dike,
nourishment, water extraction control,...)
6. Extreme wave statistics and multivariate analysis (6h)
Estimation of extreme marine events, based on real data
Exercise in Matlab (maximum likelihood fit of 3 parameter distribution to a series of
hindcasted data)
Use of joint statistics to assess extreme events of tide and waves
Exercise in Matlab (application of copula)
7. Modelling coastal flood (2h)
Description of existing models (free operational & commercial)
Origin of operational wave modelling: the water directive, national and local regulations
Decision Support Systems for coastal flooding management
8. Producing flooding maps in Python + GIS (2h)
Application to a real case: production of a flood map
9. Reliability analysis (2h)
Failure mechanism for coastal flooding. Application in Matlab (level II method, 1D case)
10. Evaluation of the flooding hazard (4h)
How to produce a Coastal flooding map.
Mapping the expected value and economic costs related to flooding.
Evaluation of Coastal Flooding Index.
Interactions with river discharge and urban flooding (Tidal inlet)
Exercises in Matlab/Python (6h)
The students will be guided through the implementation of 2/3 simple exercises in
Matlab (or python, if preferred) among the following:
1) Evaluate max setup
2) Bivariate statistics
3) Dune erosion
4) FEM and FD solution of Shoreline evolution
5) Flooding probability for 1D case with Level II method 
Planned learning activities and teaching methods:

The course is composed of theoretical lectures, a seminar, a technical visit and numerical exercises (15 h).
Lectures are given with the aid of powerpoint
The short seminar (presented by a visiting professor) and the technical visit will be organized during the course, also based on the interest of the students
 3 exercises will be carried out in class (with the aid of Matlab or similar) selected by the students, based on a list of 7
 Possibly a test in the lab will be carried out. 
Additional notes about suggested reading:

Lesson notes given in class and uploaded in Moodle
The text listed below (and others) will be available for temporary loan 
Textbooks (and optional supplementary readings) 

Zanuttigh, Barbara, Coastal risk management in a changing climaterisorsa elettronicaEdited by Barbara Zanuttigh [et al...]. Amsterdam: Elsevier, 2014.

John F. Shroder, Jean T. Ellis and Douglas J. Sherman, Coastal and Marine Hazards, Risks, and Disasters. Amsterdam: Elsevies, 2015.

Innovative teaching methods: Teaching and learning strategies
 Lecturing
 Laboratory
 Problem based learning
 Case study
 Interactive lecturing
 Working in group
 Questioning
 Problem solving
 Video shooting made by the teacher/the students
 Use of online videos
 Loading of files and pages (web pages, Moodle, ...)
Innovative teaching methods: Software or applications used
 Moodle (files, quizzes, workshops, ...)
 Kaltura (desktop video shooting, file loading on MyMedia Unipd)
 Matlab
Sustainable Development Goals (SDGs)

