Foreseen Schedule (up to Easter)
- A storyboard is a summary, usually in Italian, of the lecture
- A whiteboard is an explanation of a particular topic made on the whiteboard (using Notability on the iPad) usually in Italian
- Slides are commented in English (since 2021)
- Additional information (only for the brave or the curious) and references are in italics
| Michele Vettorazzi, Environmental Engineer and Photographer |
The 2022 Videos can be found also at here in this Vimeo Showcase
- The real start (Vimeo 2021)
- Prerequistes (Vimeo 2021, Vimeo2022)
- The Topics (from a general point of view) (Vimeo Video 2020, Vimeo 2021, Vimeo2022)
- Methods (Vimeo2021, Vimeo2022)
- How you will be graded (Vimeo 2021, Vimeo 2022)
- Introduction to Geomorphometry I (Storyboard 2020 della lezione, I):
- A little of vocabulary (Vimeo 2021)
- DEMs sources (from Wikipedia). Slides. Local and other sources of data:
- The basics of DEM analysis (Vimeo 2022 part I, Vimeo 2022, part II, Vimeo2021, YouTube video 2019,YouTube2020, Sintesi in Italiano 2020)
- Hydrogeomorphology: the derived quantities, drainage directions and contributing areas (Vimeo 2022, Vimeo2021, YouTube video 2019,YouTube2020, Sintesi in Italiano 2020)
- On the estimation of tangential stresses in a curved topography (Whiteboard 2020)
- References for who wants to go deeper
- Peckham, R. J., and G. Jordan. 2007. Digital Terrain Modelling: Development and Applications in a Policy Support Environment. Edited by Robert Joseph Peckham and Gyozo Jordan. New York: Springer, Berlin, Heidelberg. Lecture Notes In Geoinformation and Cartography.
- A Storyboard Italian regarding the geomorphic laws
- Where do channels begin: Extracting channels and hillslope (Vimeo2022)
- Old classes: YouTubeVideo 2020 b, Sintesi in Italiano 2020
- Old a little different but useful material: extracting the hillslope (YouTube Video 2019,YouTube2020)
- A brief overview about geomorphic laws regarding the river networks and catchments (Vimeo2022).
- Old Classes: Vimeo 2021
- Additional information and references
- Part of the above but presented in a different way. Topological classification of catchments elements:
- Horton-Strahler Ordering (Whiteboard2020);
- Pfafstetter (Whiteboard2020; an alternative presentation here) and
- other ordering schemes (Whiteboard 2020 here).
- Rigon, Riccardo, Ignacio Rodriguez-Iturbe, Amos Maritan, Achille Giacometti, David G. Tarboton, and Andrea Rinaldo. 1996. “On Hack’s Law.” Water Resources Research 32 (11): 3367–74.
- Detecting the human landscape (please try to read and summarize the main concepts): Cao, Wenfang, Giulia Sofia, and Paolo Tarolli. 2020. “Geomorphometric Characterisation of Natural and Anthropogenic Land Covers.” Progress in Earth and Planetary Science 7 (1): 2.
- Other references:
- Older classes in Italian
- Geomorphology with References
- Various information from the AboutHydrology Blog
- 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
- Getting the sense of what we are doing (Vimeo2022)
- Hydrological data (Storyboard2020 in Italian)
- To which data are we interested in and where can we find them ? (In English)
- Ground data and their interpolation (Vimeo2022)
- Vimeo 2021, Zoom2020
- Thiessen Polygons (Storyboard2020 in Italian)
- Inverse distance Weighting (Storyboard 2020 in Italian)
- Introduction to Kriging Theory:
- Summary (Vimeo 2021, Vimeo2022)
- Building the system to solve ( Storyboard 2020),
- the Kriging's equations (Vimeo2022)
- Catching the errors of estimates (Vimeo2022)
- Flow chart and Various types of Kriging (Storyboard in Italian 2020, Zoom2020)
- The Normal score (Vimeo2022)
- Tools available in OMS3 (Vimeo2022)
- Additional material:
- References:
- Marialaura Bancheri, Francesco Serafin, Michele Bottazzi, Wuletawu Abera, Giuseppe Formetta, and Riccardo Rigon, The design, deployment, and testing of kriging models in GEOframe with SIK-0.9.8, Geosci. Model Dev., 11, 2189–2207, 2018 https://doi.org/10.5194/gmd-11-2189-2018
- Andràs Bardossy, Introduction to Geostatistics, year unknown.
- Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation (pp. 1–488). New York : Oxford University Press.
- P.K. Kitanidis, Introduction to GEOstatistics, 1997 https://doi.org/10.1017/CBO9780511626166
- Mitas, Lubos, and Helena Mitasova. 1999. “Spatial Interpolation.” Geographical Information Systems: Principles, Techniques, Management and Applications 1 (2). http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.224.5959&rep=rep1&type=pdf.
- G. Raspa, Dispense di Geostatistica Applicata, Università di Roma 3, 2010
- Hydrological models (Vimeo2022)
- Vimeo2021
- Older versions: What are models in Hydrology (YouTube2020, Zoom2020-I, A summary I, English version here)
- Integral Distributed Model or Hydrological Dynamical Systems, HDSys (Vimeo2022)
- The representation of Hydrological Dynamical System (Vimeo2022)
- Further readings: a blogpost from EGU
- The very simplest linear system (Vimeo 2022)
- Vimeo2021
- Derivation of the solution of the linear reservoir
- Same derivation as above but from a different source and treated in a general way
- Getting new features to the linear systems (Vimeo 2022)
- Summarizing the previous class results at the blackboard(Vimeo2022)
- The Nash model (Vimeo 2022)
- Vimeo2021
- A trick for doing the double integration in the Nash Hydrograph derivation (Blackboard2022)
- Derivation of the Nash hydrograph (Whiteboard 2021)
- the Hymod model (Vimeo2022)
- Vimeo2021
- Summarizing the previous class (Vimeo2022)
- The issue of runoff generation,
- ERM-I (Vime2022)
- In Italian: Vimeo2021-I, Vimeo2021-II
- ERM-II (Vime2022)
- In Italian: Vimeo2021-I, Vimeo2021-II
- A summary of previous lectures
- MaRRmot survey of models (Vimeo 2022)
- Simplified snow models (Vimeo 2022)
- A little about models calibration
- Here below we started a little series of lectures about a statistical way of seeing water movements in catchments. This view has a long history but recently had a closure with the work of Rinaldo, Botter and coworkers. Here it is presented an alternative vie to their concepts. Some passages could be of some difficulty but the gain in understanding the processes of fluxes formation at catchment scale is, in my view, of great value and deserves some effort. The way of thinking is the following: a) the overall catchments fluxes are the sum of the movements of many small water volumes (molecules); b) the water of molecules can be seen through 3 distributions: the travel time distribution, the residence time distribution and the response time distributions; c) the relationships between these distributions are revealed; d) the relation of these distributions with the the treatment of the catchments made through ordinary differential equations is obtained through the definition of age ranked distributions; e) The theory this developed is a generalizations of the unit hydrograph theory.
- The view of the catchment as the statistics of elementary water volumes moving stochastically, a storyboard
- Travel Time, Residence Times (Vimeo2022)
- A summary (Vimeo 2022)
- A short note about past and future (Vimeo2022)
- Vimeo 2021-Ita, Vimeo 2021-Eng
- Some discussion (In English)
- StorAge Selection functions (Vimeo2022)
- Response Times (2022)
- Pollutants, Tracers, Nutrients Transport (Vimeo2022)
- Partitioning the outputs (Vimeo2022)
- Q&A - A student asks and I respond on travel times (in Italian)
- Q&A - Another session of explanations
- Klicker session on Travel times, Residence Time, etc. (List of questions and answers by students, Zoom2020)
- Rigon, R., M. Bancheri, and T. R. Green. 2016. “Age-Ranked Hydrological Budgets and a Travel Time Description of Catchment Hydrology.” Hydrology and Earth System Sciences. https://hess.copernicus.org/articles/20/4929/2016/.
- Rigon, Riccardo, and Marialaura Bancheri. 2021. “On the Relations between the Hydrological Dynamical Systems of Water Budget, Travel Time, Response Time and Tracer Concentrations.” Hydrological Processes 35 (1). https://doi.org/10.1002/hyp.14007.
2022-04-08 - After all radiation moves it all.
- Radiation (YouTube 2017).
- The Sun (YouTube 2017)
- Stefan-Boltzmann law and radiation spectrum (YouTube 2017, Vimeo2021)
- Sun to Earth (YouTube 2017)
- Coping with latitude and longitude (YouTube 2017,Vimeo2021)
- Atmospheric Absorptions (YouTube 2017,Vimeo2021)
- Clouds (YouTube 2017,Vimeo2021)
- Coping with terrain (YouTube 2017,Vimeo2021)
- Long wave radiation (YouTube 2017, Vimeo2021)
- Table of symbols
- Readings:
- Corripio, J. G. (2002). Modelling the energy balance of high altitude glacierised basins in the Central Andes. Ph.D Dissertation, 1–175.
- Corripio, J. G. (2003). Vectorial algebra algorithms for calculating terrain parameters from DEMs and solar radiation modelling in mountainous terrain. Int. J. Geographical Information Science, 17(1), 1–23.
- Formetta, G., Rigon, R., Chávez, J. L., & David O. (2013). Modeling shortwave solar radiation using the JGrass-NewAge system. Geoscientific Model Development, 6(4), 915–928. http://doi.org/10.5194/gmd-6-915-2013
- Formetta, G., Bancheri, M., David, O., & Rigon, R. (2016). Performance of site-specific parameterizations of longwave radiation. Hydrology and Earth System Sciences, 20(11), 4641–4654. http://doi.org/10.5194/hess-20-4641-2016
- Various material from the AboutHydrology blog
- Q&A - Some questions on radiation, your answers and my comments.
- Seven steps in hydrological modelling
- 1-2-3 Overall Analysis, Geomorphology, The Data! (Vimeo2022)
- 4 - Modelling setup, Calibration/Validation (Vimeo2022)
- 5-6-7 Executing, Delivery of the results , Preparing for Open Science (Vimeo2022)
- 2022-03-31 - A final view on Hydrological Dynamical Systems and their application to catchments.
- Hypothesis testing in Hydrological Modelling with HDSys (At the whiteboard)
Equations for disease spreading (Out of schedule)- An unexpected candid way (for naive people like me) to model Covid-19 spreading (Whiteboard2020, Zoom2020)
- But look how it is a more informed model s.
- Examples of Applications: