Automated avalanche hazard indication mapping on a statewide scale

<p>Snow avalanche hazard mapping has a long tradition in the European Alps. Hazard maps delineate areas of potential avalanche danger and are only available for selected areas where people and significant infrastructure are endangered. They have been created over generations, at specific sites...

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Main Authors: Y. Bühler, P. Bebi, M. Christen, S. Margreth, L. Stoffel, A. Stoffel, C. Marty, G. Schmucki, A. Caviezel, R. Kühne, S. Wohlwend, P. Bartelt
Format: Article
Language:English
Published: Copernicus Publications 2022-06-01
Series:Natural Hazards and Earth System Sciences
Online Access:https://nhess.copernicus.org/articles/22/1825/2022/nhess-22-1825-2022.pdf
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author Y. Bühler
Y. Bühler
P. Bebi
P. Bebi
M. Christen
M. Christen
S. Margreth
L. Stoffel
A. Stoffel
A. Stoffel
C. Marty
G. Schmucki
G. Schmucki
A. Caviezel
A. Caviezel
R. Kühne
S. Wohlwend
P. Bartelt
P. Bartelt
author_facet Y. Bühler
Y. Bühler
P. Bebi
P. Bebi
M. Christen
M. Christen
S. Margreth
L. Stoffel
A. Stoffel
A. Stoffel
C. Marty
G. Schmucki
G. Schmucki
A. Caviezel
A. Caviezel
R. Kühne
S. Wohlwend
P. Bartelt
P. Bartelt
author_sort Y. Bühler
collection DOAJ
description <p>Snow avalanche hazard mapping has a long tradition in the European Alps. Hazard maps delineate areas of potential avalanche danger and are only available for selected areas where people and significant infrastructure are endangered. They have been created over generations, at specific sites, mainly based on avalanche activity in the past. For a large part of the area (90 % in the case of the canton of Grisons) only strongly generalized hazard indication maps are available (SilvaProtect), not showing impact information such as pressure. This is a problem when new territory with no or an incomplete historical record is to be developed. It is an even larger problem when trying to predict the effects of climate change at the state scale, where the historical record may no longer be valid. To close this gap, we develop an automated approach to generate spatially coherent hazard indication mapping based on a digital elevation model for the canton of Grisons (7105 km<span class="inline-formula"><sup>2</sup></span>) in the Swiss Alps. We calculate eight different scenarios with return periods ranging from frequent to very rare as well as with and without taking the protective effects of the forest into account, resulting in a total of approximately 2 million individual avalanche simulations. This approach combines the automated delineation of potential release areas, the calculation of release depths and the numerical simulation of the avalanche dynamics. We find that between 47 % (most frequent scenario) and 67 % (most extreme scenario) of the cantonal area can be affected by avalanches. Without forest, approximately 20 % more area would be endangered. This procedure can be applied worldwide, where high-spatial-resolution digital elevation models, detailed information on the forest and data on the snow climate are available, enabling reproducible hazard indication mapping also in regions where no avalanche hazard maps yet exist. This is invaluable for climate change studies. The simulation results are validated with official hazard maps, by assessments of avalanche experts, and by existing avalanche cadastres derived from manual mapping and mapping based on satellite datasets. The results for the canton of Grisons are now operationally applied in the daily hazard assessment work of the authorities. Based on these experiences, the proposed approach can be applied for further mountain regions.</p>
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spelling doaj.art-ba1e97c7f4624cd2a2e03a01cd66c2492022-12-22T02:27:06ZengCopernicus PublicationsNatural Hazards and Earth System Sciences1561-86331684-99812022-06-01221825184310.5194/nhess-22-1825-2022Automated avalanche hazard indication mapping on a statewide scaleY. Bühler0Y. Bühler1P. Bebi2P. Bebi3M. Christen4M. Christen5S. Margreth6L. Stoffel7A. Stoffel8A. Stoffel9C. Marty10G. Schmucki11G. Schmucki12A. Caviezel13A. Caviezel14R. Kühne15S. Wohlwend16P. Bartelt17P. Bartelt18WSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, SwitzerlandClimate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, 7260 Davos Dorf, SwitzerlandWSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, SwitzerlandClimate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, 7260 Davos Dorf, SwitzerlandWSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, SwitzerlandClimate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, 7260 Davos Dorf, SwitzerlandWSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, SwitzerlandWSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, SwitzerlandWSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, SwitzerlandClimate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, 7260 Davos Dorf, SwitzerlandWSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, SwitzerlandWSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, SwitzerlandClimate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, 7260 Davos Dorf, SwitzerlandWSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, SwitzerlandClimate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, 7260 Davos Dorf, SwitzerlandDepartment of Forest and Natural Hazards (AWN), Canton Grisons, 7000 Chur, SwitzerlandOffice for Civil Protection, Government of Liechtenstein, 9490 Vaduz, LiechtensteinWSL Institute for Snow and Avalanche Research SLF, 7260 Davos Dorf, SwitzerlandClimate Change, Extremes and Natural Hazards in Alpine Regions Research Center CERC, 7260 Davos Dorf, Switzerland<p>Snow avalanche hazard mapping has a long tradition in the European Alps. Hazard maps delineate areas of potential avalanche danger and are only available for selected areas where people and significant infrastructure are endangered. They have been created over generations, at specific sites, mainly based on avalanche activity in the past. For a large part of the area (90 % in the case of the canton of Grisons) only strongly generalized hazard indication maps are available (SilvaProtect), not showing impact information such as pressure. This is a problem when new territory with no or an incomplete historical record is to be developed. It is an even larger problem when trying to predict the effects of climate change at the state scale, where the historical record may no longer be valid. To close this gap, we develop an automated approach to generate spatially coherent hazard indication mapping based on a digital elevation model for the canton of Grisons (7105 km<span class="inline-formula"><sup>2</sup></span>) in the Swiss Alps. We calculate eight different scenarios with return periods ranging from frequent to very rare as well as with and without taking the protective effects of the forest into account, resulting in a total of approximately 2 million individual avalanche simulations. This approach combines the automated delineation of potential release areas, the calculation of release depths and the numerical simulation of the avalanche dynamics. We find that between 47 % (most frequent scenario) and 67 % (most extreme scenario) of the cantonal area can be affected by avalanches. Without forest, approximately 20 % more area would be endangered. This procedure can be applied worldwide, where high-spatial-resolution digital elevation models, detailed information on the forest and data on the snow climate are available, enabling reproducible hazard indication mapping also in regions where no avalanche hazard maps yet exist. This is invaluable for climate change studies. The simulation results are validated with official hazard maps, by assessments of avalanche experts, and by existing avalanche cadastres derived from manual mapping and mapping based on satellite datasets. The results for the canton of Grisons are now operationally applied in the daily hazard assessment work of the authorities. Based on these experiences, the proposed approach can be applied for further mountain regions.</p>https://nhess.copernicus.org/articles/22/1825/2022/nhess-22-1825-2022.pdf
spellingShingle Y. Bühler
Y. Bühler
P. Bebi
P. Bebi
M. Christen
M. Christen
S. Margreth
L. Stoffel
A. Stoffel
A. Stoffel
C. Marty
G. Schmucki
G. Schmucki
A. Caviezel
A. Caviezel
R. Kühne
S. Wohlwend
P. Bartelt
P. Bartelt
Automated avalanche hazard indication mapping on a statewide scale
Natural Hazards and Earth System Sciences
title Automated avalanche hazard indication mapping on a statewide scale
title_full Automated avalanche hazard indication mapping on a statewide scale
title_fullStr Automated avalanche hazard indication mapping on a statewide scale
title_full_unstemmed Automated avalanche hazard indication mapping on a statewide scale
title_short Automated avalanche hazard indication mapping on a statewide scale
title_sort automated avalanche hazard indication mapping on a statewide scale
url https://nhess.copernicus.org/articles/22/1825/2022/nhess-22-1825-2022.pdf
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