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Surface temperature controls the pattern of post-earthquake landslide activity
The patterns and controls of the transient enhanced landsliding that follows strong earthquakes remain elusive. Geostatistical models can provide clues on the underlying processes by identifying relationships with a number of physical variables. These models do not typically consider thermal informa...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770705/ https://www.ncbi.nlm.nih.gov/pubmed/35046453 http://dx.doi.org/10.1038/s41598-022-04992-8 |
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author | Loche, Marco Scaringi, Gianvito Yunus, Ali P. Catani, Filippo Tanyaş, Hakan Frodella, William Fan, Xuanmei Lombardo, Luigi |
author_facet | Loche, Marco Scaringi, Gianvito Yunus, Ali P. Catani, Filippo Tanyaş, Hakan Frodella, William Fan, Xuanmei Lombardo, Luigi |
author_sort | Loche, Marco |
collection | PubMed |
description | The patterns and controls of the transient enhanced landsliding that follows strong earthquakes remain elusive. Geostatistical models can provide clues on the underlying processes by identifying relationships with a number of physical variables. These models do not typically consider thermal information, even though temperature is known to affect the hydro-mechanical behavior of geomaterials, which, in turn, controls slope stability. Here, we develop a slope unit-based multitemporal susceptibility model for the epicentral region of the 2008 Wenchuan earthquake to explore how land surface temperature (LST) relates to landslide patterns over time. We find that LST can explain post-earthquake landsliding while it has no visible effect on the coseismic scene, which is dominated by the strong shaking. Specifically, as the landscape progressively recovers and landslide rates decay to pre-earthquake levels, a positive relationship between LST and landslide persistence emerges. This seems consistent with the action of healing processes, capable of restoring the thermal sensitivity of the slope material after the seismic disturbance. Although analyses in other contexts (not necessarily seismic) are warranted, we advocate for the inclusion of thermal information in geostatistical modeling as it can help form a more physically consistent picture of slope stability controls. |
format | Online Article Text |
id | pubmed-8770705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87707052022-01-24 Surface temperature controls the pattern of post-earthquake landslide activity Loche, Marco Scaringi, Gianvito Yunus, Ali P. Catani, Filippo Tanyaş, Hakan Frodella, William Fan, Xuanmei Lombardo, Luigi Sci Rep Article The patterns and controls of the transient enhanced landsliding that follows strong earthquakes remain elusive. Geostatistical models can provide clues on the underlying processes by identifying relationships with a number of physical variables. These models do not typically consider thermal information, even though temperature is known to affect the hydro-mechanical behavior of geomaterials, which, in turn, controls slope stability. Here, we develop a slope unit-based multitemporal susceptibility model for the epicentral region of the 2008 Wenchuan earthquake to explore how land surface temperature (LST) relates to landslide patterns over time. We find that LST can explain post-earthquake landsliding while it has no visible effect on the coseismic scene, which is dominated by the strong shaking. Specifically, as the landscape progressively recovers and landslide rates decay to pre-earthquake levels, a positive relationship between LST and landslide persistence emerges. This seems consistent with the action of healing processes, capable of restoring the thermal sensitivity of the slope material after the seismic disturbance. Although analyses in other contexts (not necessarily seismic) are warranted, we advocate for the inclusion of thermal information in geostatistical modeling as it can help form a more physically consistent picture of slope stability controls. Nature Publishing Group UK 2022-01-19 /pmc/articles/PMC8770705/ /pubmed/35046453 http://dx.doi.org/10.1038/s41598-022-04992-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Loche, Marco Scaringi, Gianvito Yunus, Ali P. Catani, Filippo Tanyaş, Hakan Frodella, William Fan, Xuanmei Lombardo, Luigi Surface temperature controls the pattern of post-earthquake landslide activity |
title | Surface temperature controls the pattern of post-earthquake landslide activity |
title_full | Surface temperature controls the pattern of post-earthquake landslide activity |
title_fullStr | Surface temperature controls the pattern of post-earthquake landslide activity |
title_full_unstemmed | Surface temperature controls the pattern of post-earthquake landslide activity |
title_short | Surface temperature controls the pattern of post-earthquake landslide activity |
title_sort | surface temperature controls the pattern of post-earthquake landslide activity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8770705/ https://www.ncbi.nlm.nih.gov/pubmed/35046453 http://dx.doi.org/10.1038/s41598-022-04992-8 |
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