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An earthquake or a snow avalanche has its own shape

However, it is crucial what one observes – paper fracture or the avalanching of snow. The results were just published in the Nature Communications journal.

Avalanches of snow or earthquakes can be described in other ways than the well-known Gutenberg-Richter scale, which gives a prediction of how likely a big avalanche or event is.

Earthquakes (the picture shows the San Andreas fault) and snow avalanches (an avalanche in Mount Everest shown on lower left corner) are examples of systems exhibiting bursty avalanche dynamics. Individual bursts have a highly irregular, complex structure (upper left corner). However, they have also a typical, well-defined average shape which depends on certain fundamental properties of the system, i.e. its universality class in the language of physics (upper right corner).

Credit: Aalto University

Each avalanche or burst has its own typical shape or form, which tells for instance when most snow is sliding after the avalanche has started. The shape of can be predicted based on mathematical models, or one can find the right model by looking at the measured shape.

- We studied results from computer simulations, and found different kinds of forms of events. We then analyzed them with pen and paper, and together with our experimental collaborators, and concluded that our predictions for the avalanche shapes were correct, Mikko Alava explains.

The results can be applied to comparing experiments with simplified model systems, to a much greater depth. The whole shape of an avalanche holds much more information than say the Gutenberg-Richter index, even with a few other so-called critical exponents.

Link to the Nature Communications article:

Contact information:

Professor Mikko Alava
Tel. +358 50 4132152
Academy Research Fellow Lasse Laurson
Tel. +358 50 4333671
The research group is part of the Finnish Computational Nanoscience Centre of Excellence (COMP)
Department of Applied Physics
Aalto University School of Science

Mikko Alava | EurekAlert!
Further information:

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