Course aims:

Knowledge of methods and techniques for analyzing and monitoring environmental quality
Selecting the appropriate methods and techniques for evaluating and monitoring the quality of the environment in order to solve the theoretical and practical problems
Applying the methods of analysis and evaluation of the quality of the environment followed by the assessment, interpretation and validation of the obtained results.

Course Entry Requirements:

N/A

Course contents:

1. Use of mathematical models in environmental engineering. The advantages of modeling and simulation 2. Mathematical models. Classification. 3. Analytical mathematical models 4. Experimental mathematical models 5. Numerical simulation 6. Software for modeling and simulation 7. Analytical mathematical models based on conservation equations 8. Analytical mathematical models based on conservation equations 9. Develop analytical mathematical models based on conservation equations 10. Develop analytical mathematical models based on conservation equations 11. Modeling and simulation of processes represented by surface waters subject to pollution 12. Modeling and simulation of pollution processes of solutions and groundwater 13. Modeling and simulation of control and remediation processes of environmental components 14. Modeling and simulation of wastewater treatment processes

Teaching methods:

Lecture, discussion, exemplification.

Learning outcomes:

The accumulation by the students of the knowledge related to this discipline implies a preparation of them so that they can solve the problems that appear in practice by creating appropriate mathematical models.

Learning outcomes verification and assessment criteria:

Final evaluation – 50%; Seminar activities – 50%.

Recommended reading:

Snape B.J., Dunn I.J., Ingham J., Prenosil J.P, Dynamics of Environmental Bioprocesses. Modelling and Simulation 1995,
B. Hunt, D. Valentine, Essential Matlab for Engineers and Scientists, Butrworth Hinmamn, 2007,
E. Holzbecher, Enviromental Modeling using Matlab, Springer, 2007,
M. Trauth, E. Sillmann, R. Gebbers, Matlab Recipes for Earth Sciences, Springer, 2006,