LEARNING OUTCOMES

Provide the knowledge of advanced hydrologic modelling focusing on the frequency analysis of extreme events (storm and flood), distributed and semi-distributed hydrological models and event-based modelling

AIMS AND LEARNING OUTCOMES

The first objective relates to the acquisition of knowledge concerning:

• probabilistic methods in the hydrology field;

• hydrological processes that control the formation and routing of river stream flows.

The second objective concerns the acquisition of the main skills aimed at:

• estimating design rainfall and floods (flowrate and volume) according to the specific application.

TEACHING METHODS

The course foresees 50 hours of lessons divided into 35 hours of theoretical lessons and 15 hours of practical/application lessons to perform a statistical inferential analysis on hydrologic variables (rainfall/flow rate) in order to estimate the rainfall/flood quantile. Starting from the database provided during the course for each student, hydrological statistical will be perfomed individually and discuss during the oral exam.

SYLLABUS/CONTENT

The main contents of the course are the following:

• Review of the inferential statistic principles;
• Statistical methods applied to hydrologic variables;
• Local Frequency analysis of extreme events (storm/flood)
• Regional approaches to estimate rainfall/flood quantile
• Procedure to estimate the flooding volume

RECOMMENDED READING/BIBLIOGRAPHY

Materials (PP slides and supporting documents) available on Aulaweb;
The following are some reference texts:

• Chow V.T., Maidment D.R., Mays L.W., Applied hydrology, New York, McGraw-Hill, 1988.
• Kottegoda N.T., Rosso R., Statistics, Probability, and Reliability for Civil and Environmental Engineers, New York, McGraw-Hill, 1997.