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Titel |
A novel approach to evaluate and compare computational snow avalanche simulation |
VerfasserIn |
J.-T. Fischer |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1561-8633
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Digitales Dokument |
URL |
Erschienen |
In: Natural Hazards and Earth System Science ; 13, no. 6 ; Nr. 13, no. 6 (2013-06-22), S.1655-1667 |
Datensatznummer |
250018507
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Publikation (Nr.) |
copernicus.org/nhess-13-1655-2013.pdf |
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Zusammenfassung |
An innovative approach for the analysis and interpretation of snow avalanche
simulation in three dimensional terrain is presented. Snow avalanche
simulation software is used as a supporting tool in hazard mapping. When
performing a high number of simulation runs the user is confronted with a
considerable amount of simulation results. The objective of this work is to
establish an objective, model independent framework to evaluate and compare
results of different simulation approaches with respect to indicators of
practical relevance, providing an answer to the important questions:
how far and how destructive does an avalanche move down
slope. For this purpose the Automated Indicator based Model Evaluation and
Comparison (AIMEC) method is introduced. It operates on a coordinate system
which follows a given avalanche path. A multitude of simulation runs is
performed with the snow avalanche simulation software SamosAT (Snow Avalanche
MOdelling and Simulation – Advanced Technology). The variability of
pressure-based run out and avalanche destructiveness along the path is
investigated for multiple simulation runs, varying release volume and model
parameters. With this, results of deterministic simulation software are
processed and analysed by means of statistical methods. Uncertainties
originating from varying input conditions, model parameters or the different
model implementations are assessed. The results show that AIMEC contributes
to the interpretation of avalanche simulations with a broad applicability in
model evaluation, comparison as well as examination of scenario variations. |
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