E4221 Modelling and Interpretation of Environmetal Data - Practicals

Faculty of Science
Spring 2022
Extent and Intensity
0/2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: z (credit).
Teacher(s)
Mgr. Jiří Komprda, Ph.D. (lecturer)
prof. Martin Scheringer, Dr. sc. nat. (lecturer)
Mgr. Klára Komprdová, Ph.D. (lecturer)
Guaranteed by
prof. Martin Scheringer, Dr. sc. nat.
RECETOX – Faculty of Science
Contact Person: Mgr. Jiří Komprda, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Wed 12:00–13:50 D29/347-RCX2
Prerequisites
NOW( E4220 Model Interpret Env Data )
Elementary knowledge of environmental and physical chemistry, basics of differential and integral calculus of one variable, basic and multivariate statistics.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim of the seminar is to demontrate a use of the different types of models of the environmental transport, fate and exposure of chemicals presented in the course E4220. Several quantitative tools are used to process real environmental data and for describing, understanding and predicting the pathways of pollutants.
Learning outcomes
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
Syllabus
  • 1) Calculate basic partitioning of chemicals in a two-media system 2) Set up and solve a level-I 3-box model 3) Set up and solve a level-II 3-box model 4) Use the Small-World Model (level-III model) to investigate the fate of chemicals in a “unit-world system” 5) Estimate atmospheric deposition and degradation of organic chemicals 6) Investigate the temporal remote state of chemicals in the environment 7) Set-up and solve a model for bioaccumulation in fish 8) Creation of different types of experimental designs 9) Calculation of autocorrelations, confounding, seasonality and delayed exposures 10)Calculation of the time trends of organic compounds in air, soil and water 11) Spatial interpolation of concentrations and pools of organic compounds in soil 12) Identification of the sources of pollution using PCA and PMF 13) Resampling techniques and sensitivity analysis
Literature
    recommended literature
  • 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 and 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
    not specified
  • 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 pp. ISBN 978-92-79-0690. info
  • HASTIE, Trevor, Robert TIBSHIRANI and J. H. FRIEDMAN. The elements of statistical learning : data mining, inference, and prediction. Corrected ed. New York: Springer, 2003, xvi, 533. ISBN 0387952845. info
Teaching methods
Practical exercises on computers.
Assessment methods
6 classified homeworks
Language of instruction
English
Further Comments
Study Materials
The course is taught annually.
Listed among pre-requisites of other courses
The course is also listed under the following terms Spring 2021, Spring 2023, Spring 2024, Spring 2025.
  • Enrolment Statistics (Spring 2022, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2022/E4221