Course Details

Selected Chapters of Landscape Water Management

Academic Year 2023/24

CS001 course is part of 1 study plan

N-P-C-SI (N) / V Winter Semester 1st year

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.

Course Guarantor

Institute

Objective

Overview of actual problems in water management and the ways of their solution, individual solution of selected partial tasks

Knowledge

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.

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

Prerequisites

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

Language of instruction

Czech

Credits

5 credits

Semester

winter

Forms and criteria of assessment

course-unit credit and examination

Specification of controlled instruction, the form of instruction, and the form of compensation of the absences

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

Offered to foreign students

Not to offer

Course on BUT site

Lecture

13 weeks, 2 hours/week, elective

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

13 weeks, 2 hours/week, compulsory

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)