290131 UE Modelling in Physical Geography (2019W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from Mo 02.09.2019 07:00 to Mo 16.09.2019 23:59
- Registration is open from Th 19.09.2019 17:00 to Tu 24.09.2019 23:59
- Deregistration possible until We 30.10.2019 23:59
Details
max. 30 participants
Language: English
Lecturers
Classes
The course starts on the 9th of October and will be a 3 hr lecture from 12-3.
The date are as follows09.10.19 Introduction and course outline.
23.10.19 What is a model?
30.10.19 How to model landslides
06.11.19 Oral Presentations
20.11.19 Intro to scripting
27.11.19 Scripting continued
04.12.19 Statistical landslide susceptibility analysis
11.12.19 Using r.avaflow
15.01.20 Consultation, any unfinished business, discussion and help with final report
22.01.20 Extra time if requiredMM-Lab, NIG, first floor
Information
Aims, contents and method of the course
Assessment and permitted materials
Attendance, scientific report, oral presentation, homework, final report
Minimum requirements and assessment criteria
Participation and attendance, (absence on max. 2 units, 10%)
Review of models are used in landslide research (individual assignment, 15% max 2500 words)
What models are used in ….? Oral presentation (group assignment, 20% max 15 mins)
Scripting assignments (individual assignment, 25%)
Final report (individual assignment, 30% max 5000 words)
Review of models are used in landslide research (individual assignment, 15% max 2500 words)
What models are used in ….? Oral presentation (group assignment, 20% max 15 mins)
Scripting assignments (individual assignment, 25%)
Final report (individual assignment, 30% max 5000 words)
Examination topics
Regular active participation, reports, homework, presentation
Reading list
Mergili, M., Emmer, A., Juřicová, A., Cochachin, A., Fischer, J.‐T., Huggel, C., and Pudasaini, S. P. ( 2018) How well can we simulate complex hydro‐geomorphic process chains? The 2012 multi‐lake outburst flood in the Santa Cruz Valley (Cordillera Blanca, Perú). Earth Surf. Process. Landforms, 43: 1373– 1389. doi: 10.1002/esp.4318.Mergili, M. and Fischer, J.-T. and Krenn, J. and Pudasaini, S. P. (2017) r.avaflow v1, an advanced open-source computational framework for the propagation and interaction of two-phase mass flows. Geoscientific Model Development (10) 2: 553-569. doi: 10.5194/gmd-10-553-2017Beguería S. (2006) Validation and Evaluation of Predictive Models in Hazard Assessment and Risk Management. Natural Hazards 37:315–329. doi: 10.1007/s11069-005-5182-6Fell R, Corominas J, Bonnard C, et al (2008) Guidelines for landslide susceptibility, hazard and risk zoning for land use planning. Engineering Geology 102:85–98. doi: 10.1016/j.enggeo.2008.03.022Guzzetti F, Mondini AC, Cardinali M, et al (2012) Landslide inventory maps: New tools for an old problem. Earth-Science Reviews 112:42–66. doi: 10.1016/j.earscirev.2012.02.001Venables W., N, Smith, D, M (2009) An Introduction to R (2nd ed.). Network Theory Ltd.Lovelace R., Nowosad J., Muenchow J., (2019) Geocomputation with R (1st ed.). Chapman and Hall/CRC. ISBN: 9781138304512
Association in the course directory
(MG-S1-PI.m, Block A) (MG-S2-PI.m, Block A)
Last modified: Tu 12.10.2021 00:24
• What is a model
• How to model landslides
• Data and Modelling
• Intro to scripting in Python
• Statistical landslide susceptibility analysis
• Using r.avaflow to model landslides
Method of the course: the course will include
• lectures,
• a number of guided hands-on exercises in actual model use and scripting
• group assignment on summarizing and presenting group research.
• individual assignment on the preparation of a report on the concepts of modelling.