Surface temperature controls the pattern of post-earthquake landslide activity

Abstract 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 therma...

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Main Authors: Marco Loche, Gianvito Scaringi, Ali P. Yunus, Filippo Catani, Hakan Tanyaş, William Frodella, Xuanmei Fan, Luigi Lombardo
Format: Article
Language:English
Published: Nature Portfolio 2022-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-04992-8
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author Marco Loche
Gianvito Scaringi
Ali P. Yunus
Filippo Catani
Hakan Tanyaş
William Frodella
Xuanmei Fan
Luigi Lombardo
author_facet Marco Loche
Gianvito Scaringi
Ali P. Yunus
Filippo Catani
Hakan Tanyaş
William Frodella
Xuanmei Fan
Luigi Lombardo
author_sort Marco Loche
collection DOAJ
description Abstract 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.
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spelling doaj.art-1daadef51a4c4801a656f68f02c4cbea2022-12-22T04:15:27ZengNature PortfolioScientific Reports2045-23222022-01-0112111110.1038/s41598-022-04992-8Surface temperature controls the pattern of post-earthquake landslide activityMarco Loche0Gianvito Scaringi1Ali P. Yunus2Filippo Catani3Hakan Tanyaş4William Frodella5Xuanmei Fan6Luigi Lombardo7Institute of Hydrogeology, Engineering Geology and Applied Geophysics, Faculty of Science, Charles UniversityInstitute of Hydrogeology, Engineering Geology and Applied Geophysics, Faculty of Science, Charles UniversityState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of TechnologyDepartment of Geosciences, University of PadovaFaculty of Geo-Information Science and Earth Observation (ITC), University of TwenteDepartment of Earth Sciences, University of FlorenceState Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of TechnologyFaculty of Geo-Information Science and Earth Observation (ITC), University of TwenteAbstract 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.https://doi.org/10.1038/s41598-022-04992-8
spellingShingle Marco Loche
Gianvito Scaringi
Ali P. Yunus
Filippo Catani
Hakan Tanyaş
William Frodella
Xuanmei Fan
Luigi Lombardo
Surface temperature controls the pattern of post-earthquake landslide activity
Scientific Reports
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
url https://doi.org/10.1038/s41598-022-04992-8
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