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Surface temperature controls the pattern of post-earthquake landslide activity.
Loche, Marco; Scaringi, Gianvito; Yunus, Ali P; Catani, Filippo; Tanyas, Hakan; Frodella, William; Fan, Xuanmei; Lombardo, Luigi.
Affiliation
  • Loche M; Institute of Hydrogeology, Engineering Geology and Applied Geophysics, Faculty of Science, Charles University, Prague, Czech Republic.
  • Scaringi G; Institute of Hydrogeology, Engineering Geology and Applied Geophysics, Faculty of Science, Charles University, Prague, Czech Republic. gianvito.scaringi@natur.cuni.cz.
  • Yunus AP; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China.
  • Catani F; Department of Geosciences, University of Padova, Padua, Italy.
  • Tanyas H; Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands.
  • Frodella W; Department of Earth Sciences, University of Florence, Florence, Italy.
  • Fan X; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, China.
  • Lombardo L; Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherlands.
Sci Rep ; 12(1): 988, 2022 Jan 19.
Article in En | MEDLINE | ID: mdl-35046453
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.

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Rep Year: 2022 Document type: Article Affiliation country: Czech Republic

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sci Rep Year: 2022 Document type: Article Affiliation country: Czech Republic