Course Details
Mathematical modelling in water management
Academic Year 2022/23
DRB025 course is part of 4 study plans
DPC-V Summer Semester 1st year
DKC-V Summer Semester 1st year
DKA-V Summer Semester 1st year
DPA-V Summer Semester 1st year
The course deals with the development of mathematical model in water management. Initially the elementary principles of modelling are introduced together with conceptual and mathematical model development. The problems solved are flow and transport of solids in streams and floodplain, groundwater flow and pollution, flow in reservoirs and hydrotechnical structures.
The part of the subject concerns the use of appropriate software for numerical solution of the problem. Practical studies are focused on the problems connected with PhD. thesis.
Course Guarantor
Institute
Objective
The aim of the course is to acquaint students with principles of mathematical modelling in water management. The students will obtain knowledge about basic methods of modelling, the conceptual model set up, development of mathematical model and numerical solution of the problem.
Knowledge
Knowledge of principles of mathematical modelling in water management. The students will obtain knowledge about basic methods of modelling, the conceptual model set up, development of mathematical model and numerical solution of the problem.
Syllabus
1. Introduction to mathematical modelling.
2.–4. Conceptual model.
5.–8. Governing equations, initial and boundary conditions.
9.–11. Practical use of numerical methods.
12.–13. The use of appropriate software for solution of the practical studies.
Prerequisites
Hydraulics.
Language of instruction
Czech
Credits
8 credits
Semester
summer
Forms and criteria of assessment
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, 3 hours/week, elective
Syllabus
1. Introduction to mathematical modelling.
2.–4. Conceptual model.
5.–8. Governing equations, initial and boundary conditions.
9.–11. Practical use of numerical methods.
12.–13. The use of appropriate software for solution of the practical studies.