Course detail


FAST-DS71Acad. year: 2023/2024

Fundaments 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

Language of instruction


Number of ECTS credits


Mode of study

Not applicable.


Institute of Landscape Water Management (VHK)

Entry knowledge

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

Rules for evaluation and completion of the course

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


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
Doktorand gains knowledge for applikation stochastic hydrology and operative hydrology methods in thesis

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Chow Ven Te: Handbook of Applied Hydrology. Published by McGraw Hill Text 1964
Ram S. Gupta: Hydrology and Hydraulic Systems. Waveland Press 2007

Recommended reading

Samuel D. Brody, Wesley E. Highfield, Jung Eun Kang: The Causes and Consequences of Flooding in the United States. Cambridge University Press 2011
Wagener, T. - Wheater, H.S. - Gupta, H.V.: Rainfall-Runoff Mmodelling in Gauged and Ungauged Catchments. Imperial College Press 2004

Classification of course in study plans

  • Programme D-P-C-SI (N) Doctoral

    branch VHS , 1. year of study, summer semester, compulsory-optional

  • Programme D-K-E-SI (N) Doctoral

    branch VHS , 1. year of study, summer semester, compulsory-optional

  • Programme D-K-C-SI (N) Doctoral

    branch VHS , 1. year of study, summer semester, compulsory-optional

Type of course unit



39 hours, optionally

Teacher / Lecturer


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.-11. Operative prediction of river basin runoff 12.-13. Extreme flows