Course detail
Selected parts of landscape water management
FAST-CS01Acad. year: 2013/2014
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
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Overview of artificial intelligence methods that can be used in water management
Artificial neural networks - principles, properties, simulators, application examples
Models of porous systems - microscopic scale
Use of models in pedology - principles, data entry, evaluation of the resulting data, applications
Variability of hydropedological variables
Introduction to fluvial geomorphology, hydromorphological mapping of water sources, principles of small water courses restoration, river restoration problems and obstacles
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Students pass the 13 basic lectures in applied hydrology, hydromorphology, river restoration and pedology.
In practice, students process according to entering some basic task using computers and software available.
At the end of course test draw from the full range of lectures.
Assesment methods and criteria linked to learning outcomes
♦ - be present in seminars,
♦ - project processing in selected chapters,
♦ - hand over his project and its presentation,
♦ - written exam.
Course curriculum
3. - 4. Selected parts from fluvial morphology
5. - 8. Selected chapters from hydropedology
9. - 13.Selected parts from applied hydrology
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
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)
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)
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
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
Teacher / Lecturer
Syllabus
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)