Environmental Monitoring and Data Assimilation Methods

Course code: 143EMAM
Course guarantor: doc. Ing. Michal Sněhota, Ph.D.
Form of exams: A,EX
Number of credits: 6 credits
Weekly load: 2+3

Abstract(semestr B232)
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
Content 
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
Literature 
Compulsory literature:
[1]  Burden, F.R., Donnert, D., Godisg, T. and McKelvie, I. (2002). Environmental Monitoring Handbook. McGraw-Hill. ISBN 978-3-510-65386
[2]  Dirksen, C. (1999). Soil physics measurements. Reiskirchen: Catena-Verl. ISBN-13: 978-3923381432
[3]  Hillel, D. (1998). Environmental soil physics. San Diego, CA: Academic Press. ISBN: 9780123485250
[4]  Kendall, C. (2006). Isotope tracers in catchment hydrology. Amsterdam.: Elsevier. ISBN 978-0-444-81546-0
[5]  Ott W.R.(1995). Environmental Statistics and Data Analysis. CRC Press LLC. ISBN: 9780873718486
Prerequisities 
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Studijní plány 
Předmět je zařazen do následujících studijních plánů:

- studijní plán Water and Environmental Engineering, spec. Hydraulic Engineering (NW20200001), skupina Water and Environmental Engineering, facultative subjects (NW202001_02), dop. semestr 2 (valid from 2020/21 )
- studijní plán Water and Environmental Engineering, spec. Environmental Engineering and Science (NW20200002), skupina Water and Environmental Engineering, specialization Environmental Engineering and Science (NW202002_01), dop. semestr 2 (valid from 2020/21 )
- studijní plán Water and Environmental Engineering, spec. Water Management (NW20200003), skupina Water and Environmental Engineering, facultative subjects (NW202003_02), dop. semestr 2 (valid from 2020/21 )