Course detail

Selected parts of landscape water management

FAST-CS01Acad. year: 2024/2025

Selected chapters from operative hydrology focused on neural network and uncertainties of measurement.
Selected chapters from hydromorphology and river restoration.
Selected parts from hydropedology and basics of modeling of pedology.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Ing. Miloš Starý, CSc.

Department

Institute of Landscape Water Management (VHK)

Entry knowledge

Hydrology, hydraulics, reservoirs and water management systems, soil science and irrigation, river basin protection, drainage structures, ponds, land consolidation, restoration of the river basin

Rules for evaluation and completion of the course

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

Aims

Overview of actual problems in water management and the ways of their solution, individual solution of selected partial tasks
Student gains overview of actual problems in water management and the ways of their solution. Each student works on individual solution of selected partial tasks.

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

STARÝ, Miloš a KRÁLOVÁ, Helena a KAMENÍČKOVÁ, Ivana: Vybrané statě z vodního hospodářství krajiny. VUT FAST v Brně, 2007. [http://www.fce.vutbr.cz/studium/materialy/ucebnice.pdf] (CS)

Recommended literature

CÍSLEROVÁ, Mlena: Inženýrská hydropedologie. ČVUT v Praze, 1989. ISBN 80-01-00052-4. (CS)
Mays, Larry W.: Water Resources Handbook. Hong Kong : McGraw-Hill,, 1996. (EN)
Nacházel, K. - Starý, M. - Zezulák, J. a kol: Užití metod umělé inteligence ve vodním hospodářství. ACADEMIA Praha, 2004. (CS)
Just, T. a kol.: Vodohospodářské revitalizace a jejich uplatnění v ochraně před povodněmi. ZO ČSOP Hořovicko, AOPK ČR a MŽP ČR Praha, 2005. (CS)
KODEŠOVÁ, Radka: Modelování v pedologii. Česká zemědělská univerzita v Praze, 2005. ISBN 80-213-1347-1. (CS)

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. Ing. Miloš Starý, CSc.

Syllabus

1. Uncertainty of measured hydrologic data 2. Artificial intelligence methods and their use in water management 3. - 4. Artificial neural networks and their properties and applications to specific tasks 5. - 6. Selected chapters from meteorology and climatology (climate change) 7. - 8. Selected parts from fluvial morphology 9. Pedotransfer functions, sofware RETC, Rosetta and HYDRUS 10 Introduction to modeling in pedology 11. Models of porous systems - microscopic scale 12. Variability of hydropedological variables 13. Selected lecture on the topic of current practice

Exercise

26 hod., compulsory

Teacher / Lecturer

prof. Ing. Miloš Starý, CSc.

Syllabus

1. Determination of the uncertainty of point and vertical velocity measured hydrometric propeller 2. - 4. The use of artificial neural networks in predicting the average monthly flow 5. -8. Hydromorphological evaluation of water courses, river restoration 9. - 12. Application of sofware HYDRUS (simulation of water flow in the soil profile, ponded infiltration, boundary conditions, complex processing mathematical model)