ENV003 Environmental Information and Modelling

Faculty of Science
Spring 2013
Extent and Intensity
1/1/0. 2 credit(s) (fasci plus compl plus > 4). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
Mgr. Klára Komprdová, Ph.D. (lecturer)
Mgr. Jiří Komprda, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Ivan Holoubek, CSc.
RECETOX – Faculty of Science
Contact Person: Mgr. Klára Komprdová, Ph.D.
Supplier department: RECETOX – Faculty of Science
Timetable
Tue 13:00–14:50 D29/347-RCX2
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
At the end of the course, students should be able to:
-evaluate different types of mathematical models to study fate of pollutants in the environment;
-use ArcGIS 9 software for preparing maps using geostatistics methods;
-plan field studies in coordination with atmospheric transport models;
-use receptor based Hysplit model, visualize and statistically process acquired data;
-create and use box models to study distribution of pollutants in the environment;
-use ChemCAN box model for evaluation interphase equilibrium and transport of pollutants;
Syllabus
  • The aim of this course is to introduce the non-experimental aspects of environmental chemistry to the students, especially the tools for chemical environmental data interpretation and the basics of PC modeling. The course is focused on both the explanation of current scientific knowledge in the field and presentation of practical aspects of the introduced tools.
  • 1. Information sources and models
  • a. Introduction into environmental modeling and GIS (Geographical Information Systems)
  • b. Information and environmental data sources suitable for modeling, databases
  • 2. Receptor modeling, source apportionment of pollutants: introduction, principles, application, examples (air mass trajectory statistics, multivariatiate statistical methods)
  • 3. Dispersion modeling: introduction, principles, application, example (e.g. SYMOS´97)
  • 4. Spatial modeling I – sampling design, autocorrelation
  • 5. Spatial modeling II – basic interpolation techniques for spatial modeling of pollutant distributions, exercises in ArcGIS
  • 6. Introduction to box models, mathematical solutions, transportation processes and distribution coefficients
  • 7. Examples of box models, their basic principles, structure and mathematical solutions (e.g. EPISuit, Chemcan, CemoS, POPCYCLING-Baltic) + exercises in MS Excel
Literature
    recommended literature
  • 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
Teaching methods
Education is performed as lectures with PowerPoint presentation and class discussion. Each lecture block will be supplemeted with practical lesson on PC where different approaches will be tested on various SW. Real examples from environmental chemistry will be presented during these lectures. Students are asked to interpret results of practical examples. Students develop a projecst on a selected topic during the semester.
Assessment methods
Final assesment (at the end of semester) is combination of written examination and project evaluation.
Language of instruction
Czech
Further Comments
Study Materials
The course is taught annually.
The course is also listed under the following terms Spring 2012, spring 2012 - acreditation, Spring 2015, spring 2018.
  • Enrolment Statistics (Spring 2013, recent)
  • Permalink: https://is.muni.cz/course/sci/spring2013/ENV003