Course detail
Selected Chapters of Landscape Water Management
FAST-CS001Acad. year: 2018/2019
Selected chapters from operative hydrology focused on neural network and uncertainties of measurement.
Selected chapters from fluvial geomorphology, 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
Introduction to fluvial geomorphology, hydromorphological mapping of water sources
Principles of small water courses restoration, river restoration problems and obstacles, subsidy programmes
Pedotransfer functions, database HYPRES
Software HYDRUS - principles, data entry, evaluation of the resulting data, practical applications
Basics of modeling in pedology, pedogenetic models and models of porous systems
Infiltration
Variability of hydropedological variables
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
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. Basics of fluvial geomorphology, application in landcape water management
7. - 8. Small water courses restoration, problems and obstacles, subsidy programmes, model projects
9. Pedotransfer functions and creation of the database HYPRES, software HYDRUS
10. - 11. Introduction to modeling in pedology, pedogenetic models, models of porous systems
12. Infiltration, variability of hydropedological variables
13. Selected lecture on the topic of current practice
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
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. Basics of fluvial geomorphology, application in landcape water management
7. - 8. Small water courses restoration, problems and obstacles, subsidy programmes, model projects
9. Pedotransfer functions and creation of the database HYPRES, software HYDRUS
10. - 11. Introduction to modeling in pedology, pedogenetic models, models of porous systems
12. Infiltration, 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 mapping and evaluation of water courses
9. - 12. Application of sofware HYDRUS (simulation of water flow in the soil profile, ponded infiltration, boundary conditions, complex processing mathematical model)