SubjectsSubjects(version: 945)
Course, academic year 2023/2024
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Environmental modelling - MO550P19
Title: Environmentální modelování
Czech title: Environmentální modelování
Guaranteed by: Institute for Environmental Studies (31-550)
Faculty: Faculty of Science
Actual: from 2019
Semester: winter
E-Credits: 4
Examination process: winter s.:
Hours per week, examination: winter s.:2/2, C+Ex [HT]
Capacity: 33
Min. number of students: 1
4EU+: no
Virtual mobility / capacity: no
State of the course: taught
Language: Czech
Additional information:
Note: enabled for web enrollment
Guarantor: Ing. Luboš Matějíček, Ph.D.
Teacher(s): Ing. Luboš Matějíček, Ph.D.
Annotation -
Last update: Ing. Luboš Matějíček, Ph.D. (13.03.2024)
The lecture is focused on computer modeling in the field of the environment, including all natural science aspects. GIS, DPZ and GPS tools are used to solve computer models. The actual solution of computer models takes place with the use of special programs. For students of natural sciences, it is an introductory course, which is followed by other thematically focused elective lectures, exercises and seminars. The presentation of individual tasks is based on generally valid principles published in foreign and domestic professional literature. In order to pass the lecture, mastering basic subjects focused on the environment, ecology, mathematics and statistics is required. The lecture is complemented by computer demonstrations of selected tasks, which are further processed by the students as part of the exercises. The lecture and exercise are also available in the MOODLE system to support face-to-face and distance learning through online courses available on the WWW (lecture and exercise are offered in Czech or English).
Literature -
Last update: Ing. Luboš Matějíček, Ph.D. (13.03.2024)

Bequette, B.W., 1998. Process Dynamic: Modeling, Analysis, and Simulation. Prentice Hall, London, Sydney, Toronto, Tokyo.

Bennet, B.S., 1995. Simulation Fundamentals. . Prentice Hall, London, Sydney, Toronto, Tokyo.

Goodchild, M.F., 1996. GIS and Environmental Modeling: Progress and Research Issues. GIS World.

Hannon, B., Ruth, M., 1997. Modeling Dynamic Biological Systems. Springer-Verlag, New York, Berlin, Heidelberg. 

Roughgarden, J., 1998. Primer of Ecological Theory. Prentice Hall, London, Sydney, Toronto, Tokyo.

Requirements to the exam -
Last update: Ing. Luboš Matějíček, Ph.D. (13.03.2024)

The course MO550P19 Environmental modeling is taught face-to-face or, in justifiable cases, by distance learning. Presentations of lectures and assignment of demo tasks are available on MOODLE: in pdf format.

To be awarded credit, demo tasks must be completed and, in case of absence from the exercise, the required results must be submitted for review in MOODLE by the end of the grading period. The task is completed when more than 50 points are obtained in the range of 0 to 100. The recommended submission deadline is the next exercise.

The exam takes the form of an electronic test in MOODLE (20 randomly selected questions with a choice of suitable answers).

Syllabus -
Last update: Ing. Luboš Matějíček, Ph.D. (13.03.2024)

1. Systems theory: definition and delimitation of the system; static, dynamic and stochastic models; deductive and inductive identification when creating models; computer models; validation and verification; identification of model parameters, optimization.

2. Obtaining data within experiments: types of data; data accuracy; calibration, accuracy classes and measurement sensitivity; data management; examples of experimental procedures in the natural sciences.

3. Use of statistics and probability theory: types of data; location and variability characteristics; hypothesis testing.

4. Use of regression and correlation analysis, application of factor analysis: method of least squares; linear and non-linear regression; correlation analysis; data transformation; time lines; examples.

5. Approaches to modeling ecological systems: individual, population, community and ecosystem; use of physical laws and ecological rules; matter and energy flows.
6. Population models: estimates of basic parameters; discrete growth models; exponential and logistic growth; time-lag models; Leslie models; basic types of interactions; examples.

7. Analysis and simulation of dynamic models: state variables and trajectories, equilibrium states and their stability; linear and non-linear dynamic models; numerical methods for calculating models; examples.

8. Examples of ecological models: modeling interactions in communities and ecosystems; models of matter and energy flows; simulation using computer programs ACSL, Mathematica, MATLAB-Simulink.

9. Analysis of spatial interactions of ecological systems: basic interactions of populations, in communities and in ecosystems; spatial models and their simulations; use of GIS and remote sensing; spatial statistical methods and interactions; discrete models.

10. Landscape analysis from the point of view of modeling: structure, corridors, networks; natural process analysis and risk assessment using GIS and remote sensing; modeling interactions in the landscape.

11. Contamination of environmental systems: compartment models and models with distributed parameters; diffusion modeling; numerical methods for solving models; examples.

12. System analysis of environmental systems and network analysis methods, linear programming, deterministic and stochastic models, chaos theory, use of neural networks, fractal theory.

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