AboutHydrology: Steep Streams Project

Showing posts with label Steep Streams Project. Show all posts

Sunday, October 22, 2017

Simple models for hydrological hazard mapping

This contains the second talk I gave to high-school teacher at MUSE for the Life Project FRANCA. My intention was to show (under a lot of simplification assumptions) how hydrological models work, and give a few hints on which type of hydraulics models of sediment transport can be useful.

Clicking on the figure above you can access the slides (in Italian but with a little time, I will provide a translation). In their simplicity, the slides are a storyboard for action that could be taken in the SteepStream project to provide an estimation of hazards of Meledrio river basin (and the other two selected).

Friday, October 6, 2017

SteepStreams preliminary Hydrological works

This contains the talk given at the 2017 meeting of the SteepStreams ERANET project. It is assumed to talk about the hydrological cycle of the Noce river in Val di Sole valley (Trentino, Italy). It is a preliminary view of what we are going to do in the project and does not pretend to present particularly deep results. However, it could give some interesting hints on methodology.

https://www.slideshare.net/GEOFRAMEcafe/lisbon-talk-for-steepstreams

Clicking on the figure, you can access the presentation. Here below you find also a more detailed summary with links of material about the Meledrio basin, one of the experimental catchments used in the project.

As above, clicking on the figure, you can access the presentation.

Friday, September 8, 2017

Weather Generation (according to Korbinian Breinl)

How one can reasonably cope with simulating future hydrometeorological forcing for hydrological purposes ? Clearly, since meteorology is dominated by unpredictable phenomena (in the sense of chaotic ones) and we cannot pretend to simply use forecasts, when we are looking just a little far away. An option would be to use climatic models and doing dynamic downscaling of their outcomes. The previous lecture given by Jeremy Pal (GS), followed this research path. However, we can produce statistical weather scenarios using stochastic weather generators (SWG) too, once we have an idea of what will be the mean characteristics of such system.
Literature is full of SWG that covers mainly temperature and rainfall, but it seems there exists systems also that covers other meteorological variables, like wind and radiation.
Today we had a talk on the subject given at our Department of Civil, Environmental and Mechanical Engineering given by Korbinian Breinl. He is at present a post-doc at Uppsala University with Giuliano Di Baldassarre (GS) and we are collaborating in the SteepStreams project.

https://www.slideshare.net/secret/3mSM1qPLUj4BMR

As usual you can find his presentation by clicking on the figure above. But you can see the talk on YouTube

Besides flooding (and solid flooding) which is one of the scopes of the projects, I hope we succeed in modeling all the main components of the hydrological cycle by a combine use of Korbinian’s Generator and JGrass NewAGE. I have also the video record of his presentation, but not yet the approval to share it publicly on YouTube. However you can ask it to me writing to abouthydrology @ gmail.com.

Korbinian's generator is written in Matlab, and it is available through Github.

Please find below a reference list which include, besides Korbinian’s one, some other references that I could gather through time.

References