E4220 Modelling and Interpretation of Environmetal Data

Přírodovědecká fakulta
jaro 2021
2/0/0. 2 kr. (plus ukončení). Ukončení: zk.
Mgr. Jiří Komprda, Ph.D. (přednášející)
prof. Martin Scheringer, Dr. sc. nat. (přednášející)
Mgr. Klára Komprdová, Ph.D. (přednášející)
prof. Martin Scheringer, Dr. sc. nat.
RECETOX - Přírodovědecká fakulta
Kontaktní osoba: Mgr. Jiří Komprda, Ph.D.
Dodavatelské pracoviště: RECETOX - Přírodovědecká fakulta
Po 1. 3. až Pá 14. 5. Po 8:00–9:50 D29/347-RCX2
NOW ( E4221 Model Interpret Env Data - Pr )
Elementary knowledge of environmental and physical chemistry, basics of differential and integral calculus of one variable, basic and multivariate statistics
Omezení zápisu do předmětu
Předmět je nabízen i studentům mimo mateřské obory.
Mateřské obory/plány
Cíle předmětu
The aim of the course is to present to students the contemporary level of mass-balance modelling of the environmental transport, fate and exposure of persistent pollutants and spatial and temporal statistical modelling. All environmental matrices are considered (air, water, sediments, soil and biota). During the course, several quantitative tools for describing, understanding and predicting the pollutants pathways are introduced. Practical training with the presented models is available within the associated seminar E4221
Výstupy z učení
In the end of the course student should be able to understand and develop dynamic mass-balance and statistical models for environmental pollutants and utilize them in his/her research work; understand the accuracy, validity, and sensitivity of a chemical fate and transport model; understand the relationship between the chemical properties and environmental fate of organic chemicals.
  • 1) Introduction to environmental modeling; partitioning of chemicals in the environment part I 2) Partitioning of chemicals in the environment part II and the fugacity approach 3) Box models at different levels from closed system at equilibrium to open dynamic models 4) Degradation processes in the environment 5) Atmospheric fate and transport 6) Long-range transport and global distribution 7) Bioaccumulation 8) Experimental design for statistical models 9) Temporal and spatial modeling - Introduction 10) Time series models 11) Spatial interpolation models 12) Multivariate methods for identification and classification of pollution 13) Uncertainty and Sensitivity Analysis
    doporučená literatura
  • SCHERINGER, Martin. Persistence and spatial range of environmental chemicals: New ethical and scientific concepts for risk assessment. First edition. Wiley-VCH, 2002. 294 s. ISBN 9783527305278
  • SCHWARZENBACH, René P., P. M. GSCHWEND a Dieter M. IMBODEN. Environmental organic chemistry. Third edition. Hoboken, New Jersey: Wiley, 2016. xvii, 1005. ISBN 9781118767238. info
  • MACKAY, Donald. Multimedia environmental models : the fugacity approach. 2nd ed. Boca Raton, Fla.: Taylor & Francis, 2001. 261 s. ISBN 1566705428. info
  • HENGL, T. A Practical Guide to Geostatistical Mapping of Environmental Variables. Luxemburg: EUR 22904 EN Scientific and Technical Research series, Office for Official Publications of the European Communities, 2007. 143 s. ISBN 978-92-79-0690. info
  • HASTIE, Trevor, Robert TIBSHIRANI a J. H. FRIEDMAN. The elements of statistical learning : data mining, inference, and prediction. Corrected ed. New York: Springer, 2003. xvi, 533. ISBN 0387952845. info
Výukové metody
Theoretical lectures with illustrative examples of the models.
Metody hodnocení
The final exam consisting of a written test. Results of the homeworks from seminar E4221 are included in the overall evaluation.
Vyučovací jazyk
Další komentáře
Studijní materiály
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Předmět je zařazen také v obdobích jaro 2022.