Supporting sustainable development: the GRASS GIS opportunity

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Two environmental relevant examples are worked out in this lab: 1)estimation of the quantity of potential solar energy that could be produced with solar panels using as input information the landscape morphology and the characteristics of building roofs obtainable from LiDAR (Light Detection and Ranging) Digital Surface Models and Digital Terrain Models. 2)risk assessment due to tsunami events: hazard, vulnerability and expected damages maps are computed. Specifically the exercise consists in the estimation of the maximum vertical height of the tsunami waves hitting the coast (run-up) and the subsequent diffusion over the inland areas, as a function of morphology, vegetation, and of coastal area urbanization. The results are used to estimate hazard corresponding to different return period events, associated exposition and vulnerability .
Maria Antonia Brovelli, Massimiliano Cannata and Monia Molinari
Politecnico di Milano - Campus Como (Italy) and Institute of Earth Science SUPSI - Lugano (Switzerland)
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GRASS; environment; solar energy; tsunami risk

CC-Attribution Non-commercial Share Alike (by-nc-sa)
Target Audience: 
Intermediate GIS Users
slaxGIS OSGeo2008 (
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Source Format: 
Web page
Date Published: 
1 Oct 2008
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