Diachronic quantitative snow avalanche risk assessment as a function of forest cover changes
International audience This work proposes a holistic quantitative snow avalanche risk assessment that evaluates, at reasonable computational costs and for various types of buildings, the impact of forest cover changes on the probability distribution of runout distances, impact pressures and subseque...
Published in: | Journal of Glaciology |
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Main Authors: | , , , , , |
Other Authors: | , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2022
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Online Access: | https://hal.science/hal-03924185 https://hal.science/hal-03924185/document https://hal.science/hal-03924185/file/diachronic-quantitative-snow-avalanche-risk-assessment-as-a-function-of-forest-cover-changes.pdf https://doi.org/10.1017/jog.2022.103 |
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ftunivnantes:oai:HAL:hal-03924185v1 |
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Open Polar |
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Université de Nantes: HAL-UNIV-NANTES |
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ftunivnantes |
language |
English |
topic |
[SDE]Environmental Sciences [SHS]Humanities and Social Sciences |
spellingShingle |
[SDE]Environmental Sciences [SHS]Humanities and Social Sciences Zgheib, Taline Giacona, Florie Morin, Samuel Granet-Abisset, Anne-Marie Favier, Philoméne Eckert, Nicolas Diachronic quantitative snow avalanche risk assessment as a function of forest cover changes |
topic_facet |
[SDE]Environmental Sciences [SHS]Humanities and Social Sciences |
description |
International audience This work proposes a holistic quantitative snow avalanche risk assessment that evaluates, at reasonable computational costs and for various types of buildings, the impact of forest cover changes on the probability distribution of runout distances, impact pressures and subsequent risk estimates. A typical case study of the French Alps shows that, from a completely deforested to a completely forested path, avalanche risk for a building located downslope decreases by 53–99%, depending on how forest cover is accounted for in avalanche statistical–dynamical modeling. Local forest cover data inferred from old maps and photographs further demonstrates that a 20–60% risk reduction actually occurred between 1825 and 2017 at the site because of the afforestation dynamics, with significant modulations according to the considered building technology. These results (1) assert the protective role of forests against snow avalanches, (2) highlight the potential of combining nature-based solutions with traditional structural measures to reduce risk to acceptable levels at reasonable costs, (3) suggest a significant decrease in risk to settlements in areas that encountered similar forest cover changes and (4) open the door to the quantification of long-term avalanche risk changes as a function of changes of all its hazard, vulnerability and exposure drivers in various mountain context. |
author2 |
Erosion torrentielle neige et avalanches (UR ETGR (ETNA)) Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) Territoires, économie, enjeux sociétaux (LARHRA TEES) LAboratoire de Recherche Historique Rhône-Alpes - UMR5190 (LARHRA) Université Pierre Mendès France - Grenoble 2 (UPMF)-École normale supérieure - Lyon (ENS Lyon)-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML) Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-École normale supérieure - Lyon (ENS Lyon)-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML) Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS) Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) |
format |
Article in Journal/Newspaper |
author |
Zgheib, Taline Giacona, Florie Morin, Samuel Granet-Abisset, Anne-Marie Favier, Philoméne Eckert, Nicolas |
author_facet |
Zgheib, Taline Giacona, Florie Morin, Samuel Granet-Abisset, Anne-Marie Favier, Philoméne Eckert, Nicolas |
author_sort |
Zgheib, Taline |
title |
Diachronic quantitative snow avalanche risk assessment as a function of forest cover changes |
title_short |
Diachronic quantitative snow avalanche risk assessment as a function of forest cover changes |
title_full |
Diachronic quantitative snow avalanche risk assessment as a function of forest cover changes |
title_fullStr |
Diachronic quantitative snow avalanche risk assessment as a function of forest cover changes |
title_full_unstemmed |
Diachronic quantitative snow avalanche risk assessment as a function of forest cover changes |
title_sort |
diachronic quantitative snow avalanche risk assessment as a function of forest cover changes |
publisher |
HAL CCSD |
publishDate |
2022 |
url |
https://hal.science/hal-03924185 https://hal.science/hal-03924185/document https://hal.science/hal-03924185/file/diachronic-quantitative-snow-avalanche-risk-assessment-as-a-function-of-forest-cover-changes.pdf https://doi.org/10.1017/jog.2022.103 |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
ISSN: 0022-1430 EISSN: 1727-5652 Journal of Glaciology https://hal.science/hal-03924185 Journal of Glaciology, 2022, pp.1-19. ⟨10.1017/jog.2022.103⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1017/jog.2022.103 hal-03924185 https://hal.science/hal-03924185 https://hal.science/hal-03924185/document https://hal.science/hal-03924185/file/diachronic-quantitative-snow-avalanche-risk-assessment-as-a-function-of-forest-cover-changes.pdf doi:10.1017/jog.2022.103 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1017/jog.2022.103 |
container_title |
Journal of Glaciology |
container_start_page |
1 |
op_container_end_page |
19 |
_version_ |
1766049044254162944 |
spelling |
ftunivnantes:oai:HAL:hal-03924185v1 2023-05-15T16:57:29+02:00 Diachronic quantitative snow avalanche risk assessment as a function of forest cover changes Zgheib, Taline Giacona, Florie Morin, Samuel Granet-Abisset, Anne-Marie Favier, Philoméne Eckert, Nicolas Erosion torrentielle neige et avalanches (UR ETGR (ETNA)) Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) Territoires, économie, enjeux sociétaux (LARHRA TEES) LAboratoire de Recherche Historique Rhône-Alpes - UMR5190 (LARHRA) Université Pierre Mendès France - Grenoble 2 (UPMF)-École normale supérieure - Lyon (ENS Lyon)-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML) Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Université Pierre Mendès France - Grenoble 2 (UPMF)-École normale supérieure - Lyon (ENS Lyon)-Université Lumière - Lyon 2 (UL2)-Université Jean Moulin - Lyon 3 (UJML) Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS) Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) 2022-12-13 https://hal.science/hal-03924185 https://hal.science/hal-03924185/document https://hal.science/hal-03924185/file/diachronic-quantitative-snow-avalanche-risk-assessment-as-a-function-of-forest-cover-changes.pdf https://doi.org/10.1017/jog.2022.103 en eng HAL CCSD International Glaciological Society info:eu-repo/semantics/altIdentifier/doi/10.1017/jog.2022.103 hal-03924185 https://hal.science/hal-03924185 https://hal.science/hal-03924185/document https://hal.science/hal-03924185/file/diachronic-quantitative-snow-avalanche-risk-assessment-as-a-function-of-forest-cover-changes.pdf doi:10.1017/jog.2022.103 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 0022-1430 EISSN: 1727-5652 Journal of Glaciology https://hal.science/hal-03924185 Journal of Glaciology, 2022, pp.1-19. ⟨10.1017/jog.2022.103⟩ [SDE]Environmental Sciences [SHS]Humanities and Social Sciences info:eu-repo/semantics/article Journal articles 2022 ftunivnantes https://doi.org/10.1017/jog.2022.103 2023-03-08T00:58:01Z International audience This work proposes a holistic quantitative snow avalanche risk assessment that evaluates, at reasonable computational costs and for various types of buildings, the impact of forest cover changes on the probability distribution of runout distances, impact pressures and subsequent risk estimates. A typical case study of the French Alps shows that, from a completely deforested to a completely forested path, avalanche risk for a building located downslope decreases by 53–99%, depending on how forest cover is accounted for in avalanche statistical–dynamical modeling. Local forest cover data inferred from old maps and photographs further demonstrates that a 20–60% risk reduction actually occurred between 1825 and 2017 at the site because of the afforestation dynamics, with significant modulations according to the considered building technology. These results (1) assert the protective role of forests against snow avalanches, (2) highlight the potential of combining nature-based solutions with traditional structural measures to reduce risk to acceptable levels at reasonable costs, (3) suggest a significant decrease in risk to settlements in areas that encountered similar forest cover changes and (4) open the door to the quantification of long-term avalanche risk changes as a function of changes of all its hazard, vulnerability and exposure drivers in various mountain context. Article in Journal/Newspaper Journal of Glaciology Université de Nantes: HAL-UNIV-NANTES Journal of Glaciology 1 19 |