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Google Summer of Code ideas 2016

silviafranceschi edited this page Feb 19, 2016 · 8 revisions

Improving the model for Large Wood transportation during flooding events with LiDAR data and 1D hydraulic model

Projects involved

JGrasstools

Proposal

Integrate/connect the model for the evaluation of the availability of Large Wood and the propagation along the channels developed during the GSoC2014 with two models:

  • a model based on single tree extraction from LiDAR for the evaluation of vegetation parameters (position of the trees, length of the logs and volume of the biomass)
  • the 1D hydraulic model developed during the GSoC2015

This project is aimed to improve the performance of the Large Wood model in the calculation of the available volume of biomass for each section and in the evaluation of the clogging sections for propagation of the logs downstream.

Mentors

Andrea Antonello

JGrasstools + a 2D model to be investigated during the project

Projects involved

JGrasstools

Proposal

Hydro-geological hazard is one of the main sector of interest of the environmental engineering. To delineate the floods extent there is the need of two dimensional (2D) hydraulic models, that simulate the flow of the water in the rivers and in the floodplains where the water flows outside the banks. During these last years different 2D hydraulic software have been developed and most of them are closed source and costly, but there are some free and also some open source. The aim of this project is to select a free or open source 2D hydraulic model which has been validated (scientifically) on small Alpine catchments and to develop a set of tools to prepare input data for the simulations. This will be a set of preprocessing tools and not a new graphical interface for the selected 2D model.

Main steps are:

  • analysis and selection of the best 2D model freely available for small Alpine catchments
  • analysis of the required input data (type, content and formats)
  • development of the preprocessing tools of geogpraphic data
  • testing and documentation.

Mentors

Andrea Antonello