Erich H. Peitzsch
United States Geological Survey
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Featured researches published by Erich H. Peitzsch.
International Snow Science Workshop 2014 Proceedings, Banff, Canada | 2014
Erich H. Peitzsch; Jordy Hendrikx; Daniel B. Fagre
Glide snow avalanches are dangerous and difficult to predict. Despite recent research there is still a lack of understanding regarding the controls of glide avalanche release. Glide avalanches often occur in similar terrain or the same locations annually and observations suggest that specific topog- raphy may be critical. Thus, to gain an understanding of the terrain component of these types of ava- lanches we examined terrain parameters associated with glide avalanche release and compared to avalanche starting zones where no glide avalanches were observed (i.e. non-glide avalanche terrain). Glide avalanche occurrences visible from the Going-to-the-Sun Road corridor in Glacier National Park, Montana from 2003-2013 are investigated using an avalanche database derived of daily observations each year from April 1 to June 15. This yielded 192 glide avalanches in 53 distinct avalanche paths. Each avalanche was digitized in a GIS using satellite, oblique, and aerial imagery as reference. A smaller set of 31 non-glide avalanche starting zones were also selected in this manner. Topographical parameters such as area, slope, aspect, incoming solar radiation, distance from ridge, and elevation were then derived for the entire dataset utilizing tools with a GIS and a 10 m DEM. Surface roughness and a glide factor were calculated using a four level classification index and a land surface type layer in a GIS. For this study area, glide avalanches released at elevations ranging from 1300 to 2700 m with a mean aspect of 98 degrees (east) and a mean slope angle of 38 degrees. A total of 26 terrain variables were examined using a univariate analysis between areas where glide avalanches occurred and areas where glide avalanches were never observed, despite crack formation. Only three variables were not significant- ly different. The significantly different variables were then used to train a classification tree to distinguish between glide and non-glide avalanche terrain. The 10-fold cross validated tree resulted in two branches. The nodes split on maximum slopes and glide factor. This tree was then completed without cross- validation for exploratory purposes and results show maximum slope, mean aspect, and daily solar radia- tion to be important variables for distinguishing between glide avalanche and non-glide avalanche terrain. Finally, the results of the cross-validated tree will be used in a GIS to examine other areas of potential glide avalanche release within Glacier National Park. Using this understanding of the role of topographic parameters on glide avalanche activity, a spatial terrain based model will be developed to identify other areas with high glide avalanche potential outside of our immediate observation area.
Cold Regions Science and Technology | 2012
Erich H. Peitzsch; Jordy Hendrikx; Daniel B. Fagre; Blase A. Reardon
Proceedings, 2012 International Snow Science Workshop, Anchorage, Alaska | 2012
Jordy Hendrikx; Erich H. Peitzsch; Daniel B. Fagre
2010 International Snow Science Workshop | 2010
Erich H. Peitzsch; Jordy Hendrikx; Daniel B. Fagre; Blase A. Reardon
Proceedings, 2012 International Snow Science Workshop, Anchorage, Alaska | 2012
Erich H. Peitzsch; Jordy Hendrikx; Daniel B. Fagre
2010 International Snow Science Workshop | 2010
Jordy Hendrikx; Erich H. Peitzsch; Daniel B. Fagre
Cold Regions Science and Technology | 2015
Erich H. Peitzsch; Jordy Hendrikx; Daniel B. Fagre
Earth System Science Data | 2016
Adam M. Clark; Daniel B. Fagre; Erich H. Peitzsch; Blase A. Reardon; Joel T. Harper
2010 International Snow Science Workshop | 2010
Daniel B. Fagre; Erich H. Peitzsch
The Cryosphere | 2018
Caitlyn Florentine; Joel T. Harper; Daniel B. Fagre; Johnnie N. Moore; Erich H. Peitzsch
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Cooperative Institute for Research in Environmental Sciences
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