Course Details

Hydrology

Academic Year 2023/24

DSB022 course is part of 4 study plans

​ DPC-V Summer Semester 1st year

​ DPA-V Summer Semester 1st year

​ DKC-V Summer Semester 1st year

​ DKA-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

Course Guarantor

doc. Ing. Daniel Marton, Ph.D.

Institute

Institute of Landscape Water Management

Objective

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

Knowledge

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

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.

Prerequisites

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

Language of instruction

Czech

Credits

8 credits

Semester

summer

Forms and criteria of assessment

examination

Specification of controlled instruction, the form of instruction, and the form of compensation of the absences

Extent and forms are specified by guarantor’s regulation updated for every academic year.

Offered to foreign students

Not to offer

Course on BUT site

https://www.vut.cz/en/students/courses/detail/271814

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.