Item: Modeling and Visualizing Avalanche Flow Using Genetic Algorithms and OpenGL
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Title: Modeling and Visualizing Avalanche Flow Using Genetic Algorithms and OpenGL
Proceedings: Proceedings, 2012 International Snow Science Workshop, Anchorage, Alaska
Authors:
- Donna Delparte [ Department of Geosciences , Idaho State University ]
- Michael Peterson [ Department of Computer Science and Engineering, University of Hawaii at Hilo ]
- Jahrain Jackson [ Department of Computer Science and Engineering, University of Hawaii at Hilo ]
- John Perkins [ Department of Computer Science and Engineering, University of Hawaii at Hilo ]
Date: 2012
Abstract: Simulating snow avalanche flow with numerical models and digital elevation model (DEM) data has allowed snow scientists to better understand flow movement in complex terrain. Commonly used parameters in these numerical models include knowledge of surface friction and snowpack characteristics, parameters which may be unknown for remote areas. Our model draws from gaming technology to simulate avalanche flow with an OpenGL particle physics based emulation using six gaming parameters. The data input requirements for the model are a DEM and an approximation of starting zone. Using a genetic algorithm (GA) approach, a training dataset of 30 known avalanche paths with maximum runout and associated starting zones was used to optimize the gaming parameters to provide a best fit to the avalanche path outlines. Each iteration of the GA generated a path that is saved to an image file that can be reviewed. The optimal combination of parameters were used in an interactive tool to view the results as an animated flow. The purpose of the model and visualization component is to provide an easy to use interface to quickly and interactively view avalanche flow and runout for snow avalanche practitioners who do not require impact measurements or velocity values.
Object ID: issw-2012-439-443.pdf
Language of Article: English
Presenter(s): unknown
Keywords: snow simulation, terrain, genetic algorithm, runout
Page Number(s): 439-443
Subjects: flow-routing algorithms snow avalanche models
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