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HYDROLOGY

CODE 97232
ACADEMIC YEAR 2022/2023
CREDITS
  • 5 cfu during the 1st year of 10720 ENVIRONMENTAL ENGINEERING (LM-35) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR ICAR/02
    LANGUAGE English
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 1° Semester
    MODULES This unit is a module of:
    TEACHING MATERIALS AULAWEB

    AIMS AND CONTENT

    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.

    TEACHERS AND EXAM BOARD

    Exam Board

    GIORGIO ROTH (President)

    GIORGIO BONI

    ANNA PALLA

    ANGELA CELESTE TARAMASSO

    ILARIA GNECCO (President Substitute)

    LESSONS

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    EXAM DESCRIPTION

    The exam of the course consists of an oral discussion. The admission to the oral exam is subject to the positive evaluation of the hydrological statistical analysis performed individually. Starting from the results of the numerical excercise, the student will therefore discuss and explain the applied methodology motivating the basic assumptions during the oral examination.

    ASSESSMENT METHODS

    The oral exam consists of an individual interview with the aim of testing the operational skills acquired by the student during the course, with particular reference the frequency analysis of extreme events (storm and flood). At the end of the semester, a specific hydrologic dataset will be provided to each student in order to perform a statical analysis and determine a probability model to the quantile estimate of the investigate variable.

    In general, students must demonstrate the ability to synthesise and illustrate the concepts, as well as the ability to critically re-elaborate and effectively use the knowledge acquired.

    Exam schedule

    Date Time Location Type Notes
    13/01/2023 09:00 GENOVA Orale
    10/02/2023 09:00 GENOVA Orale
    29/05/2023 09:00 GENOVA Orale
    30/06/2023 09:00 GENOVA Orale
    31/08/2023 09:00 GENOVA Orale