78594 - FLOOD AND DROUGHT RISK MANAGEMENT

Conoscenze e abilità da conseguire

At the end of the course students have an understanding of the factors causing and aggravating both river floods and drought, and a knowledge of the options and measures available for reducing and managing such risks. In particular, the course will provide advanced theoretical bases, knowledge of the tools and applied skills for (i) the assessment of flood and drought risk, in terms of hazard and vulnerability and (ii) the appraisal and design of measures for mitigating and managing such risks (such as structures for flood protection/mitigation, flood and drought policies/plans/mapping; forecasting and managing flood and drought emergencies).

Contenuti

Requirements/Prior knowledge

Basic knowledge in open-channel hydraulics, hydrology and statistics is needed.

Course Contents/Syllabus

- Climate classification.

- Acquisition and processing of hydro-meteorological data to support flood and drought modelling: rainfall fields estimates, errors in measurements; open databases; data analysis and validation; gap filling. Remote sensing of water-related variables (satellites and radar)

- Drought analysis: introduction to droughts (definitions, characteristics, classifications). Climatological and human-induced causes. Drought impacts: social, environmental, economic aspects.

- Drought monitoring and warning. Computation of drought indices based on meteorological and on hydrological/agricultural variables.

- Prediction of hydrological design variables and Flood Frequency Analysis (FFA).

- Flood hazard and risk assessment: rainfall-runoff modelling, river flow propagation modelling, flood hazard mapping, flood impacts, damage evaluation, vulnerability assessment.

- Structural and non-structural measures for flood defence: structures for flood peak reduction and for hydraulic conveyance increase; floodplain management; individual protection measures, flood forecasting and warning, managing flood emergencies.

 

Testi/Bibliografia

There is not a required textbook for the course. Lecture slides, as well as review articles and research papers will be made available in the collection "Virtuale" (virtuale.unibo.it/) for registered students. 

Metodi didattici

Lectures (in class and/or online).

Seminars with experts (in class or online) and technical visits (if allowed by health restrictions).

In-class exercises and home assignments, including coding and use of specific software (e.g. macrolanguages, such as Matlab or RStudio).

Modalità di verifica e valutazione dell'apprendimento

Student achievement is assessed through:

- a written test including 2/3 open questions focusing on the topics covered during the lectures (students should attend all lectures or obtain the notes from their colleagues when absent). Students may be asked to solve a short exercise.

- an oral assessment where the student defends and discusses her/his report of the in-class and home assignments (that have to be delivered to the teacher one week prior to the exam)

To pass the exam, the students are required to master the main theoretical principles and methodologies taught during the lectures. The laude is awarded to students who, in addition to be proficient in all the covered topics and to present top-grade assignments, show to have integrated their knowledge with personal in-depth analysis.

Strumenti a supporto della didattica

Handouts on the topics covered in the course, lecture slides, assignments and exercises are published in the University of Bologna collection "Virtuale" (virtuale.unibo.it/) for registered students.

Orario di ricevimento

Consulta il sito web di Elena Toth