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Spatio-temporal maps of past avalanche events derived from tree-ring analysis: A case study in the Zermatt valley (Valais, Switzerland)

Authors :
Adrien Favillier
Christophe Corona
Pauline Morel
Sébastien Guillet
Gregor Zenhäusern
Nicolas Eckert
Daniel Trappmann
Markus Stoffel
Jérôme Lopez-Saez
Jean-Luc Peiry
Laboratoire de Géographie Physique et Environnementale (GEOLAB)
Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Université Clermont Auvergne (UCA)-Institut Sciences de l'Homme et de la Société (IR SHS UNILIM)
Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-Centre National de la Recherche Scientifique (CNRS)
Institute for Environmental Sciences [Geneva] (ISE)
University of Geneva [Switzerland]
Dendrolab.ch [Bern]
Institute of Geological Sciences [Bern]
University of Bern-University of Bern
Ecosystèmes montagnards (UR EMGR)
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
Erosion torrentielle neige et avalanches (UR ETGR (ETNA))
Forschungsinstitut zur Geschichte des Alpenraums (FGA)
UMI 3189 CNRS-UCAD
Institut Forel (F.-A. Forel)
Université de Genève (UNIGE)
Centre National de la Recherche Scientifique (CNRS)-Institut Sciences de l'Homme et de la Société (IR SHS UNILIM)
Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université Clermont Auvergne (UCA)
Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Institut Sciences de l'Homme et de la Société (IR SHS UNILIM)
Université de Limoges (UNILIM)-Université de Limoges (UNILIM)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA)
Université de Genève = University of Geneva (UNIGE)
Unité Mixte Internationale 'Environnement Santé Sociétés' (ESS)
Centre National de la Recherche Scientifique (CNRS)
ANR-16-IDEX-0001,CAP 20-25,CAP 20-25(2016)
Source :
Cold Regions Science and Technology, Cold Regions Science and Technology, Elsevier, 2018, 154, pp.9-22. ⟨10.1016/j.coldregions.2018.06.004⟩, Cold Regions Science and Technology, Elsevier, 2018, ⟨10.1016/j.coldregions.2018.06.004⟩, Cold Regions Science and Technology, 2018, 154, pp.9-22. ⟨10.1016/j.coldregions.2018.06.004⟩, Cold Regions Science and Technology, Vol. 154 (2018) pp. 9-22
Publication Year :
2018
Publisher :
HAL CCSD, 2018.

Abstract

[Departement_IRSTEA]Eaux [ADD1_IRSTEA]Hydrosystèmes et risques naturels; International audience; Expected runout distances and related return periods are the most important parameters needed for zoning in terrain prone to snow avalanching. Hazard mapping procedures usually allocate areas of land to zones with a different degree of danger based on return periods estimated for given snow volumes in the starting zone or with statistical/dynamical models. On forested avalanche paths, dendrogeomorphology has a great potential to add critical input data to these calculations in terms of recurrence intervals or return periods. However, quite paradoxically, recurrence interval maps of snow avalanches have only rarely been retrieved from tree-ring analysis and mostly represent the inverse of the mean frequency of avalanches that could be retrieved locally rather than the return period. The purpose of this study therefore was to propose a consistent approach for treering based recurrence interval mapping of snow avalanche events. On the basis of 71 snow avalanches retrieved from 2570 GD growth disturbances identified in 307 larch trees from three avalanche paths located in the vicinity of Tasch (Canton of Valais, Swiss Alps), we first followed the classical approach used in dendrogeomorphology and derived recurrence interval maps through interpolation from recurrence intervals observed at the level of individual trees. We then applied an expert delineation of the spatial extent of past events based on the location of disturbed trees. Our results show that the second step improved representation of expected patterns of recurrence intervals that typically increase as one moves down the centerline of the avalanche path. Despite remaining limitations and uncertainties precluding from direct use of our maps for hazard mapping purpose, these results suggest that dendrogeomorphic time series of snow avalanches can yield valuable information for the assessment of recurrence intervals of avalanches on forested paths for which only very limited or no historical data exists, and that this data can be obtained independently from meteorological data or numerical modeling.

Details

Language :
English
ISSN :
0165232X
Database :
OpenAIRE
Journal :
Cold Regions Science and Technology, Cold Regions Science and Technology, Elsevier, 2018, 154, pp.9-22. ⟨10.1016/j.coldregions.2018.06.004⟩, Cold Regions Science and Technology, Elsevier, 2018, ⟨10.1016/j.coldregions.2018.06.004⟩, Cold Regions Science and Technology, 2018, 154, pp.9-22. ⟨10.1016/j.coldregions.2018.06.004⟩, Cold Regions Science and Technology, Vol. 154 (2018) pp. 9-22
Accession number :
edsair.doi.dedup.....a0a5a8a925bee967d56b339b2cacd0e3
Full Text :
https://doi.org/10.1016/j.coldregions.2018.06.004⟩