School of Environmental Sciences

Transport and fate of pollutants in the environment

This course is part of the programme:
Master’s study programme Environment (2nd level)

Objectives and competences

The aim is to help students to become familiar with fundamentals needed for understanding the fate and transport of pollutants in the environment. Principles are demonstrated on pollution of water, air, soil, rivers, estuaries, coasts and oceans. The examples encompass acid rains, Chernobil accident, troposphere ozone, ozone hole and eutrophication of surface water.


Mathematical analysis, fundamentals of modelling the environmental processes (cf. the content of the course Modelling delivered at the first level), basic knowledge of physics and chemistry.

Content (Syllabus outline)

  • Fundamentals of partial differential equations;
  • Numerical solutions of partial differential equations;
  • Conservation laws;
  • Fundamentals of fluid dynamics;
  • Transport phenomena, diffusion, dispersion;
  • Chemical reaction kinetics;
  • Biological oxygen demand;
  • Pollutants with high oxygen demand in rivers;
  • Water quality in rivers, lakes, estuaries and groundwater;
  • Basics of air pollution;
  • Climate dynamics.

Intended learning outcomes

Students are expected to:

  • be able to set up the mathematical model of realistic environmental processes;
  • be in position to carry on computer simulations of the models on standard tools at least for simple problem geometry;
  • be able to define requirements related to environmental management based on numerical simulations.


  • G. M. Masters: Introduction to environmental Engineering and Science, Prentice Hall, 2nd Edition, 1997.
  • J. L. Schnoor: Environmental Modeling: Fate and Transport of Pollutants in Water, Air and Soil, Wiley Interscience, 1996.
  • H. B. Fischer, E. J. List, R. C. Y. Koh: Mixing in Inland and Coastal Waters, Imberger and N.H. Brooks, Academic Press, 1979.


Completed homework (40 %), written exam (50 %), oral exam (10 %)

Lecturer's references

Full Professor of electrical engineering at the School of Engineering and Management of the University of Nova Gorica

DEBENJAK, Andrej, BOŠKOSKI, Pavle, MUSIZZA, Bojan, PETROVČIČ, Janko, JURIČIĆ, Đani. Fast measurement of proton exchange membrane fuel cell impedance based on pseudo-random binary sequence perturbation signals and continuous wavelet transform. Journal of power sources, ISSN 0378-7753, maj 2014, vol. 254, str. 112-118, doi: 10.1016/j.jpowsour.2013.12.094. [COBISS.SI-ID 27386663]

STRMČNIK, Stanko (editor), JURIČIĆ, Đani (editor). Case studies in control : putting theory to work, (Advances in industrial control). London [etc.]: Springer, 2013. XI, 411 str., ilustr. ISBN 978-1-4471-5175-3. ISBN 978-1-4471-5176-0. [COBISS.SI-ID 26888999]

VIŽINTIN, Jože, MARQUES QUERIDO SALGUEIRO, Jose Miguel, KRŽAN, Boris, PERŠIN, Gabrijel, JURIČIĆ, Đani, BOŠKOSKI, Pavle, DOLANC, Gregor. Naprava in postopek za stalno spremljanje maziva in vsebnosti delcev v njem : patentna prijava P-201300409. Ljubljana: Urad RS za intelektualno lastnino, 3. dec. 2013. [COBISS.SI-ID 27344167]

BOŠKOSKI, Pavle, JURIČIĆ, Đani. Fault detection of mechanical drives under variable operating conditions based on wavelet packet Rényi entropy signatures. Mechanical systems and signal processing, ISSN 0888-3270. [Tiskana izd.], avg. 2012, vol. 31, str. 369-381, doi: 10.1016/j.ymssp.2012.04.016. [COBISS.SI-ID 25765159]

GAŠPERIN, Matej, JURIČIĆ, Đani, BOŠKOSKI, Pavle, VIŽINTIN, Jože. Model-based prognostics of gear health using stochastic dynamical models. Mechanical systems and signal processing, ISSN 0888-3270. [Tiskana izd.], 2011, vol. 25, no. 2, str. 537-548, doi: 10.1016/j.ymssp.2010.07.003. [COBISS.SI-ID 23786791]

University course code: 2OK012

Year of study: 1

Semester: 1.

Course principal:




  • Lectures: 45 hours
  • Exercises: 15 hours
  • Individual work: 180 hours

Course type: obligatory

Languages: slovene and english

Learning and teaching methods:
• lectures • tutorial • students' individual work