
Self-organized criticality
(SOC) for slab avalanche release and implications for mountain
slope hazards

David McClung, University of British Columbia
Abstract: Slab avalanches reach a critical
state and initiate by propagating shear fractures. This is a
different mechanism than the classical prototype of SOC developed
by Per Bak from sandpile avalanches. In the talk, I will discuss
SOC from the perspective of slab avalanche initiation. The scaling
law for self-similar criticality (SSC) is derived from the field
measurements of slab thickness and other physical properties and
the fact that alpine snow is a quasi-brittle (strain-softening)
material which ultimately undergoes Mode II fracture initiation.
Fracture mechanics principles imply that slab thickness is the
fundamental scaling parameter. I show that the probability density
function for the slab thickness scaling implies an inverse square
relationship to Mode II fracture toughness (or inverse
proportionality to fracture energy release rate).
The other requirement for SOC is that the
frequency power spectrum for time series of avalanche arrivals
exhibits 1/f noise i.e. the power spectrum decreases according to
a power of the frequency: as frequency increases the power
spectrum drops off. I illustrate this by times series of 20 years
of avalanche records of mass arrivals from Bear Pass and Kootenay
Pass, B.C. from many thousands of avalanches. The result is that
the power spectrum from SSC (thickness scaling) and the power
spectrum from the time series arrivals have the same analytical
form (both evolve from log-normal probability density functions).
From the perspective of mountain slope hazards these results are
unique in two ways: 1. the equivalence of the power spectrum forms
for SSC and the time series arrivals and 2. all the results are
derived entirely from field measurements rather than resorting to
computer models.
For debris flows, the time series requirement
for SOC cannot be derived from field measurements since enough
data would never be available. However, SSC can be attempted. I
illustrate SSC from debris flow volume data for 87 events from the
Queen Charlotte Islands. Using volume as a scaling parameter, I
show that the probability density function for debris flow volume
is a Type II extreme value distribution and scaling law for SSC
has a different form than for snow avalanches (derived from a
log-normal distribution). Conclusions about applicability of SOC
for these two mountain hazards are given.
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