![Hier klicken, um den Treffer aus der Auswahl zu entfernen](images/unchecked.gif) |
Titel |
α - β model: Can we learn more from the statistical avalanche model with respect to the dynamical behavior of avalanches. |
VerfasserIn |
P. Gauer, K. Lied, S. Bakkehoi, K. Kronholm, L. Rammer, P. Hoeller |
Konferenz |
EGU General Assembly 2009
|
Medientyp |
Artikel
|
Sprache |
Englisch
|
Digitales Dokument |
PDF |
Erschienen |
In: GRA - Volume 11 (2009) |
Datensatznummer |
250025232
|
|
|
|
Zusammenfassung |
Hazard and risk assessment in avalanche prone areas involves the estimation of the runout of
potential avalanches. Methods for determination of the runout may be grouped into two
groups: 1) based on statistical methods such as the well known α - β model or 2)
based on numerical avalanche models such as the PCM-model or Voellmy-Salm
type models (just to name the more traditional ones). The later method has the
advantage that besides the runout also information on velocity and impact pressure
distributions along the avalanche track can be obtained. However, the success of the
dynamical models depends on the knowledge of suitable rheological models and their
parameters.
The statistical α-β model was developed at NGI and governs maximum runout distance
solely as a function of topography. The runout distance equations are found by regression
analysis, correlating the longest registered runout distance from several hundred avalanche
paths to a selection of topographic parameters. Similar regression analysis were also
performed for different regions of United States, Canada or Austria.
We re-evaluate the Norwegian and Austrian avalanche data on which the α - β model
were based with respect to dynamical measures. As all those avalanche data belong more or
less to extreme events (i.e. avalanches with return periods of 100 years to more) the
dynamical measures can give hints for suitable rheological model for dynamical models
suitable for extreme avalanche events. |
|
|
|
|
|