Course detail
Selected Chapters of Landscape Water Management
FAST-NSA013Acad. year: 2024/2025
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
Czech
Number of ECTS credits
5
Mode of study
Not applicable.
Guarantor
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.
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.
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
Not applicable.
Recommended reading
Not applicable.
Elearning
eLearning: currently opened course
Classification of course in study plans
- Programme NPC-SIV Master's 1 year of study, winter semester, compulsory
Type of course unit
Lecture
26 hod., optionally
Teacher / Lecturer
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. 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
26 hod., compulsory
Teacher / Lecturer
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 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).
Elearning
eLearning: currently opened course