PS 69-51 - Rapid assessment of large magnitude snow avalanche events in Colorado

Thursday, August 9, 2012
Exhibit Hall, Oregon Convention Center
Sara E. Simonson1, Thomas J. Stohlgren2, Steven Fassnacht3, Ethan Greene4 and Scott Toepfer4, (1)Earth Sciences Watershed Program, Natural Resource Ecology Laboratory, Fort Collins, CO, (2)Natural Resource Ecology Laboratory, Fort Collins, (3)Ecosystem Science and Sustainabililty, Watershed Science Program, Fort Collins, CO, (4)Colorado Avalanche Information Center, Boulder, CO
Background/Question/Methods

Practitioners working in avalanche terrain can benefit from learning about and characterizing avalanche paths.  A worker may never witness an extreme event, but understanding extreme events is important for categorizing avalanches that occur within a given season.  Historical records of avalanche incidents and direct observations are the most reliable evidence of avalanche activity, but patterns in vegetation can be used to further quantify and map the frequency and magnitude of past events.  The 2010-2011 winter was a season of record snowfall and snowpack accumulation for many mountain areas in Colorado.  Large, destructive avalanches were reported from locations across the state.  For example, on April 29, 2011, an impressive slide damaged high voltage power lines along Peru Creek, near Montezuma, CO.  The large avalanche destroyed a power line tower that had been in place since the 1970s, and deposited massive piles of snow, rocks, and woody debris in the runout zone.  The slide created fresh trimlines, widening the existing avalanche path area by uprooting, stripping, and breaking trees.  The disturbance event left behind many mature downed trees and extensive areas of vegetation damage, providing a unique opportunity to improve our knowledge of local avalanche frequency and magnitude.

Results/Conclusions

Initially, we gathered historical records of avalanche incidents and observations, and used repeat photography to track changes in the avalanche path vegetation over time.  Next, we used field measurements to survey the extent of vegetation damage, assess relative tree ages, and estimate maximum runout distances.  We also collected discs and cores from downed trees to detect signals of past avalanche impacts recorded in woody plant tissue.  Initial samples from the downed trees ranged from 116 to more than 300 years in age, and avalanche signals included direct impact scars from the moving snow and wind blast, development of reaction wood in response to tilting, variation in the relative width of annual growth rings, and relative ages of trees in reforested tracks.   Then, to provide insight on the avalanche dynamics, we used terrain features and local snowpack observations as inputs in a one-dimensional model to estimate the avalanche velocity, height of the flowing snow, impact pressures, and mass of the debris.  For Colorado, and perhaps elsewhere, we conclude that several vegetation ecology methods can be used to characterize and map local avalanche frequency and magnitude.