546-0933/01 – Chapters in Mathematical Simulation of Atmospheical Processes (SKMMD)
Gurantor department | Department of Environmental Engineering | Credits | 10 |
Subject guarantor | doc. Ing. Marian Bojko, Ph.D. | Subject version guarantor | prof. RNDr. Milada Kozubková, CSc. |
Study level | postgraduate | Requirement | Optional |
Year | | Semester | winter + summer |
| | Study language | Czech |
Year of introduction | 2001/2002 | Year of cancellation | 2010/2011 |
Intended for the faculties | HGF | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
The subject deals with methods of numerical modelling the mathematical models
of air flow. Sutton's statistical model of emission dispersion, determination
of parameters of turbulence in a statistical way, boundary conditions
determined by means of classes of stability in the atmosphere. Dynamic model
of admixture dispersion, turbulence boundary conditions, dispersion of heavy
and light gases, particles of matter. Application of statistical and dynamic
models, software. Formulation of mathematical model in the atmosphere - Navier-
Stokes and Reynolds equations, Boussinesque approximations. Statistical
turbulence models k-s and RSM. Comparison of statistical models LES.
Teaching methods
Individual consultations
Summary
The subject deals with methods of numerical modelling the mathematical models
of air flow. Sutton's statistical model of emission dispersion, determination
of parameters of turbulence in a statistical way, boundary conditions
determined by means of classes of stability in the atmosphere. Dynamic model
of admixture dispersion, turbulence boundary conditions, dispersion of heavy
and light gases, particles of matter. Application of statistical and dynamic
models, software. Formulation of mathematical model in the atmosphere - Navier-
Stokes and Reynolds equations, Boussinesque approximations. Statistical
turbulence models k-s and RSM. Comparison of statistical models LES.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
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Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
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