This paper describes the results of a study developed, with a GIS approach, at the University of Bergamo, about snow avalanche zoning and risk assessment in the Province of Bergamo. The adoption of a simplified estimation model, presented here, nonetheless allowed to achieve results in good accordance with those provided by previous, more rigorous studies at the Province of Bergamo. A following analysis has also been performed to estimate ski lifts, urban areas, power lines, highways, rail-roads and roads at possible risk. This is a work in progress, since further develop-ment has already been taken into account to enrich the risk model with more param-eters describing land morphology and meteorology. These results will then be used to simulate accidents and to estimate the shortest routes for rescuers. Finally, the devel-opment of a geo-app for mobile devices could become a very useful and fast tool for avalanche risk areas information.
(2017). An ArcGIS Geo-Morphological Approach for Snow Avalanche Zoning and Risk Estimation in the Province of Bergamo [journal article - articolo]. In JOURNAL OF GEOGRAPHIC INFORMATION SYSTEM. Retrieved from http://hdl.handle.net/10446/115516
An ArcGIS Geo-Morphological Approach for Snow Avalanche Zoning and Risk Estimation in the Province of Bergamo
Marana, Barbara
2017-01-01
Abstract
This paper describes the results of a study developed, with a GIS approach, at the University of Bergamo, about snow avalanche zoning and risk assessment in the Province of Bergamo. The adoption of a simplified estimation model, presented here, nonetheless allowed to achieve results in good accordance with those provided by previous, more rigorous studies at the Province of Bergamo. A following analysis has also been performed to estimate ski lifts, urban areas, power lines, highways, rail-roads and roads at possible risk. This is a work in progress, since further develop-ment has already been taken into account to enrich the risk model with more param-eters describing land morphology and meteorology. These results will then be used to simulate accidents and to estimate the shortest routes for rescuers. Finally, the devel-opment of a geo-app for mobile devices could become a very useful and fast tool for avalanche risk areas information.File | Dimensione del file | Formato | |
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