Automated Measurements in Soil Physics

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Landscape Water Conservation

Synopsis:

Course provides practical training with field and lab electronics and automation in hydrology, meteorology and soil science

Requirements:

none

Syllabus of lectures:

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

Syllabus of tutorials:

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

Study Objective:

to become familiar with automated data acquisition in the field and laboratory for environmental studies

Study materials:

[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

Note:

Further information:

https://storm.fsv.cvut.cz/pro-studenty/predmety/volitelne-predmety/automat.-hydropedologickych-mereni/?lang=cz

No time-table has been prepared for this course

The course is a part of the following study plans: