Course Details

Hydrology

Academic Year 2025/26

DSB022 course is part of 4 study plans

​ DKA-V Summer Semester 1st year

​ DKC-V Summer Semester 1st year

​ DPA-V Summer Semester 1st year

​ DPC-V Summer Semester 1st year

Introduction of stochastic hydrology, modeling of artificial flow series, modelling of synthetic rainfall, problems of temporal and spatial rainfall distribution, meteorological radars and meteorological satelites, numerical meteorological prediction models, models of rainfall - runoff process in small and big river basins, operative prediction of river basin runoff, extreme flows

Credits

8 credits

Language of instruction

Czech

Semester

summer

Course Guarantor

doc. Ing. Daniel Marton, Ph.D.

Institute

Institute of Landscape Water Management

Forms and criteria of assessment

examination

Entry Knowledge

Basic knowledge of higher mathematics, statistics and probability theory, physics. Detailed knowledge of hydrology (magister study level). Basic knowledge of Matlab and R programing.

Aims

Ability of detailed orientation in problems of hydrology, independent solution of difficult hydrological tasks, theoretical knowledge for following PhD. study aimed at water management problems


PdD student gains knowledge for applikation stochastic hydrology and operative hydrology methods in thesis

Basic Literature

STARÝ, M., Hydrologie, Modul 01, Studijní opory, VUT v Brně, 2005. (cs)
STARÝ, M., Hydrologie, Modul 02, Studijní opory, VUT v Brně, 2005. (cs)
NACHÁZEL, K., ZEZULÁK J., STARÝ M., Využití metod umělé inteligence ve vodním hospodářství. Praha: Academia, 2004. ISBN 80-200-0229-4. (cs)
WAGENER, T., WHEATHER H. S., GUPTA H. V., Rainfall-Runoff Modelling in Gauged and Ungauged Catchments. Imperial College Press, 2004. ISBN-13: 978-1860944666. (en)

Offered to foreign students

Not to offer

Course on BUT site

https://www.vut.cz/en/students/courses/detail/290127

Lecture

13 weeks, 3 hours/week, elective

Syllabus

  1. Fundaments of stochastic hydrology.
  2. Modeling of artificial flow series.
  3. Modelling of synthetic rainfall.
  4. Assessment of spatial distribution of rainfall above the river basin.
  5. Meteorological radars and meteorological satelites.
  6. Numerical meteorological prediction models.
  7. Models of rainfall – runoff process in small small river basins.
  8. Models of rainfall – runoff process in big river basins.
  9. Operative prediction of river basin runoff.
  10. Operative prediction of river basin runoff.
  11. Operative prediction of river basin runoff.
  12. Extreme flows.
  13. Extreme flows.