You can download the material for day first (January 7 2021) from this link.
After unzipping the folder you can see the typical structure of a OMS project. This is better explained in this previous blogpost. If you are reading this in advance, please take a little time to understand what OMS is and why it is like this.
During day 1 (7 Jan 2021) we will focus on the geomorphological analysis of a river basin. Starting from a digital elevation model we will extract the main river basin and we will split it the hillslope-link structure appropriate for executing the GEOframe models. All the material come with the .zip file, however, for your convenience, the slides are also available separately at the link below.
- Principal gemorphological attributes practice
- Principal derived quantities with the Horton Machine
- Watershed partitioning in practice
- A python script is also available for some additional work on maps (waiting for the definitive HortonMachine Tool). The python script is PyQGIS.py
For the exercises
In the OMS3 project
distribute you will find:
•
data,
a folder containing the model input
•
simulations,
a folder containing the scripts for executing the models.
•
doc containing the pdf of the lectures
•
Jupyter containing a group of notebooks which illustrate
the inputs and outputs of the simulations
What
the other folders contain is explained
in the OMS3 related
post (see The OMS working environment).
Further
information on the tools used and reference to the material of the previous
Winter Schools can be found here.
References
•
Various information from the
AboutHydrology Blog
•
Rigon, R., I. Rodriguez-Iturbe, A. Rinaldo, A. Maritan,
A. Giacometti and D. Tarboton, On Hack’s law, Water Resources Research, 32(11), 3367, 1996
•
R.Rigon, E. Ghesla, C. Tiso and A. Cozzini, The Horton Machine, pg. viii, 136, ISBN 10:88-8443-147-6, University of Trento, 2006
•
W. Abera, A. Antonello, S. Franceschi, G. Formetta, R
Rigon , "The uDig Spatial Toolbox for hydro-geomorphic analysis"
in Geomorphological Techniques, v. 4, n. 1 (2014), p.
1-19
Next Topic (Spatial interpolation of data)
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