Code: 143EMAM Environmental Monitoring and Data Assimilation Methods
Lecturer: doc. Ing. Michal Sněhota Ph.D. Weekly load: 2P+3C Completion: A, EX
Department: 11143 Credits: 6 Semester: S
Description:
1. Introduction to environmental monitoring and data assimilation
2. Data acquisition techniques (on-site, remote sensing; real-time, on-line, off-line)
3. Monitoring of meteorological characteristics (precipitation, temperature, wind, air humidity)
4. Methods of isotope hydrology (including analysis of stable isotopes)
5. Monitoring of flow characteristics (urban infrastructure, urban streams)
6. Monitoring of water quality characteristics (incl. sediment)
7. Monitoring of ecological characteristics (biological communities, stream eco-morphology)
8. Monitoring of soil hydrological quantities (water content, water potential)
9. Assessment of soil hydraulic properties (retention curve, hydraulic conductivity)
10. Non-invasive imaging of soil (x-ray tomography, neutron imaging, magnetic resonance imaging)
11. Uncertainty analysis and propagation of monitoring (uncertainty sources, uncertainty analysis methods, propagation methods)
12. Time series analysis
13. Case studies
Contents:
1. Introduction to environmental monitoring and data assimilation
2. Data acquisition techniques (on-site, remote sensing; real-time, on-line, off-line)
3. Monitoring of meteorological characteristics (precipitation, temperature, wind, air humidity)
4. Methods of isotope hydrology (including analysis of stable isotopes)
5. Monitoring of flow characteristics (urban infrastructure, urban streams)
6. Monitoring of water quality characteristics (incl. sediment)
7. Monitoring of ecological characteristics (biological communities, stream eco-morphology)
8. Monitoring of soil hydrological quantities (water content, water potential)
9. Assessment of soil hydraulic properties (retention curve, hydraulic conductivity)
10. Non-invasive imaging of soil (x-ray tomography, neutron imaging, magnetic resonance imaging)
11. Uncertainty analysis and propagation of monitoring (uncertainty sources, uncertainty analysis methods, propagation methods)
12. Time series analysis
13. Case studies
Seminar contents:
1. Introduction to environmental monitoring and data assimilation
2. Data acquisition techniques (on-site, remote sensing; real-time, on-line, off-line)
3. Monitoring of meteorological characteristics (precipitation, temperature, wind, air humidity)
4. Methods of isotope hydrology (including analysis of stable isotopes)
5. Monitoring of flow characteristics (urban infrastructure, urban streams)
6. Monitoring of water quality characteristics (incl. sediment)
7. Monitoring of ecological characteristics (biological communities, stream eco-morphology)
8. Monitoring of soil hydrological quantities (water content, water potential)
9. Assessment of soil hydraulic properties (retention curve, hydraulic conductivity)
10. Non-invasive imaging of soil (x-ray tomography, neutron imaging, magnetic resonance imaging)
11. Uncertainty analysis and propagation of monitoring (uncertainty sources, uncertainty analysis methods, propagation methods)
12. Time series analysis
13. Case studies
Recommended literature:
!Burden, F.R., Donnert, D., Godisg, T. and McKelvie, I. (2002). Environmental Monitoring Handbook. McGraw-Hill. ISBN 978-3-510-65386
!Dirksen, C. (1999). Soil physics measurements. Reiskirchen: Catena-Verl. ISBN-13: 978-3923381432
!Hillel, D. (1998). Environmental soil physics. San Diego, CA: Academic Press. ISBN: 9780123485250
!Kendall, C. (2006). Isotope tracers in catchment hydrology. Amsterdam.: Elsevier. ISBN 978-0-444-81546-0
!Ott W.R.(1995). Environmental Statistics and Data Analysis. CRC Press LLC. ISBN: 9780873718486
Keywords:
environmental monitoring; data acquisition techniques; isotope hydrology; water quality characteristics; time series analysis

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