Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study
Susceptibility of intrusion-related landslides in an active volcano was evaluated coupling the landslide susceptibility estimation by random forest (RF), and the probabilistic volcanic vent opening distribution, as proxy for magma injection, using the QVAST tool. In order to develop and test the met...
| Autores: | , , , , , , , |
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| Formato: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2017 |
| País: | España |
| Recursos: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/154319 |
| Acesso em linha: | http://hdl.handle.net/10261/154319 |
| Access Level: | acceso abierto |
| Palavra-chave: | Aeolian Islands Landslides susceptibility Stromboli Volcanic susceptibility Volcano slope instability |
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Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case studyDi Traglia, F.Bartolini, StefaniaArtesi, E.Nolesini, T.Ciampalini, A.Lagomarsino, AlessandraMartí Molist, JoanCasagli, N.Aeolian IslandsLandslides susceptibilityStromboliVolcanic susceptibilityVolcano slope instabilitySusceptibility of intrusion-related landslides in an active volcano was evaluated coupling the landslide susceptibility estimation by random forest (RF), and the probabilistic volcanic vent opening distribution, as proxy for magma injection, using the QVAST tool. In order to develop and test the method proposed here, the RF/QVAST approach was adopted for Stromboli volcano (Southern Italy) since it experienced moderate to huge instability events, it is geomorphologically prone to instability events, and it is affected by active intense volcanic activity that can produce slope instability. The main destabilizing factors of the volcanic flanks are the slope, the aspect, the terrain roughness, the land cover and the litho-technical features of the outcropping rocks. Estimation of volcanic susceptibility shows that the areas with high probability of new vent opening are located in the north-western unstable volcano flank (Sciara del Fuoco), in the volcano summit and the north-eastern volcano flank coherent with the possible re-activation of the eruptive fissures related to the regional tectonic setting. The areas with higher probability of intrusion-related landslides are located in the upper part of the Sciara del Fuoco, while the rest of the island show moderate to low probability of intrusion-related landslide occurrence. © 2017 The Author(s)This work has been financially partial supported by the "Presidenza del Consiglio dei Ministri – Dipartimento della Protezione Civile" (Presidency of the Council of Ministers-Department of Civil Protection) within the framework of the InGrID2015-2016 project; this publication, however, does not reflect the position and the official policies of the Department. Federico Di Traglia is supported by a post doc fellowship founded by the “Università di Firenze–Ente Cassa di Risparmio di Firenze” within the framework of the “Volcano Sentinel” project. This study was partially founded by the Seventh Framework Programme of European Commission: Landslide Modelling and Tools for vulnerability assessment preparedness and recovery management (LAMPRE; GA no: 312384). This research is partially funded by the European Commission (EC ECHO Grant SI2.695524: VeTOOLS).Peer reviewedSpringer NatureEuropean CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201720172018info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/154319reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1007/s10346-017-0866-zSíinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1543192026-05-22T06:33:51Z |
| dc.title.none.fl_str_mv |
Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study |
| title |
Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study |
| spellingShingle |
Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study Di Traglia, F. Aeolian Islands Landslides susceptibility Stromboli Volcanic susceptibility Volcano slope instability |
| title_short |
Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study |
| title_full |
Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study |
| title_fullStr |
Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study |
| title_full_unstemmed |
Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study |
| title_sort |
Susceptibility of intrusion-related landslides at volcanic islands: the Stromboli case study |
| dc.creator.none.fl_str_mv |
Di Traglia, F. Bartolini, Stefania Artesi, E. Nolesini, T. Ciampalini, A. Lagomarsino, Alessandra Martí Molist, Joan Casagli, N. |
| author |
Di Traglia, F. |
| author_facet |
Di Traglia, F. Bartolini, Stefania Artesi, E. Nolesini, T. Ciampalini, A. Lagomarsino, Alessandra Martí Molist, Joan Casagli, N. |
| author_role |
author |
| author2 |
Bartolini, Stefania Artesi, E. Nolesini, T. Ciampalini, A. Lagomarsino, Alessandra Martí Molist, Joan Casagli, N. |
| author2_role |
author author author author author author author |
| dc.contributor.none.fl_str_mv |
European Commission Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Aeolian Islands Landslides susceptibility Stromboli Volcanic susceptibility Volcano slope instability |
| topic |
Aeolian Islands Landslides susceptibility Stromboli Volcanic susceptibility Volcano slope instability |
| description |
Susceptibility of intrusion-related landslides in an active volcano was evaluated coupling the landslide susceptibility estimation by random forest (RF), and the probabilistic volcanic vent opening distribution, as proxy for magma injection, using the QVAST tool. In order to develop and test the method proposed here, the RF/QVAST approach was adopted for Stromboli volcano (Southern Italy) since it experienced moderate to huge instability events, it is geomorphologically prone to instability events, and it is affected by active intense volcanic activity that can produce slope instability. The main destabilizing factors of the volcanic flanks are the slope, the aspect, the terrain roughness, the land cover and the litho-technical features of the outcropping rocks. Estimation of volcanic susceptibility shows that the areas with high probability of new vent opening are located in the north-western unstable volcano flank (Sciara del Fuoco), in the volcano summit and the north-eastern volcano flank coherent with the possible re-activation of the eruptive fissures related to the regional tectonic setting. The areas with higher probability of intrusion-related landslides are located in the upper part of the Sciara del Fuoco, while the rest of the island show moderate to low probability of intrusion-related landslide occurrence. © 2017 The Author(s) |
| publishDate |
2017 |
| dc.date.none.fl_str_mv |
2017 2017 2018 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/10261/154319 |
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http://hdl.handle.net/10261/154319 |
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Inglés |
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Inglés |
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http://dx.doi.org/10.1007/s10346-017-0866-z Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Springer Nature |
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Springer Nature |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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