eorlEvaluation of Rainfall-Induced Landslides triggering using a multidisciplinary approachIvo

In a large part of South America, slow landslides are triggered by extreme hydrometeorological conditions leading to, for instance, Rainfall-Induced Landslides – RILs. These RILs are common in urban areas and have a negative impact on the population and infrastructure development. Despite their...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Ivo Fustos1, Pablo Moreno-Yaeger, Daniel Vasquez, Bastian Morales3 , Antonieta Silva, Elisa Ramirez
Formato: article
Lenguaje:EN
ES
Publicado: Pontificia Universidad Javeriana 2020
Materias:
Acceso en línea:https://doaj.org/article/796beb0e918d49faa670982a712194c3
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:796beb0e918d49faa670982a712194c3
record_format dspace
spelling oai:doaj.org-article:796beb0e918d49faa670982a712194c32021-11-16T20:44:39ZeorlEvaluation of Rainfall-Induced Landslides triggering using a multidisciplinary approachIvo10.11144/Javeriana.SC25-2.eorl0122-74832027-1352https://doaj.org/article/796beb0e918d49faa670982a712194c32020-08-01T00:00:00Zhttps://revistas.javeriana.edu.co/index.php/scientarium/article/view/25780https://doaj.org/toc/0122-7483https://doaj.org/toc/2027-1352In a large part of South America, slow landslides are triggered by extreme hydrometeorological conditions leading to, for instance, Rainfall-Induced Landslides – RILs. These RILs are common in urban areas and have a negative impact on the population and infrastructure development. Despite their importance, these events are little understood. We aimed at understanding the spatial distribution of RILs in the urban zone of Temuco, Chile (38.8°S, 72.6°W). The area has the typical hydrometeorological conditions of southern Chile. We conducted our assessment with a temporal analysis of shallow deformations, obtained by synthetic aperture radar interferometry (Sentinel 1 A/B). These shallow deformation rates were compared with satellite precipitation data (CHIRPS product) and electrical resistivity tomography (ERT). We identified active RIL-prone zones with deformation rates greater than 60 mm during the period 2014 to 2017, supporting theories of hydrometeorological control. Slow movements were observed in volcanic soils, suggesting the influence of their geotechnical characteristics. Our results can be extrapolated to the southern Andes (35°S-43°S), where a large number of volcanic-sedimentary units are susceptible to RILs. Finally, integration of our multidisciplinary approach will facilitate understanding of the local RIL dynamics, allowing a better risk management to decision-makers in South American and other developing countries.Ivo Fustos1, Pablo Moreno-Yaeger, Daniel Vasquez, Bastian Morales3 , Antonieta Silva, Elisa RamirezPontificia Universidad Javerianaarticleinsar time-series; rainfall-induced landslides.Science (General)Q1-390ENESUniversitas Scientiarum, Vol 25, Iss 2, Pp 277-298 (2020)
institution DOAJ
collection DOAJ
language EN
ES
topic insar time-series; rainfall-induced landslides.
Science (General)
Q1-390
spellingShingle insar time-series; rainfall-induced landslides.
Science (General)
Q1-390
Ivo Fustos1, Pablo Moreno-Yaeger, Daniel Vasquez, Bastian Morales3 , Antonieta Silva, Elisa Ramirez
eorlEvaluation of Rainfall-Induced Landslides triggering using a multidisciplinary approachIvo
description In a large part of South America, slow landslides are triggered by extreme hydrometeorological conditions leading to, for instance, Rainfall-Induced Landslides – RILs. These RILs are common in urban areas and have a negative impact on the population and infrastructure development. Despite their importance, these events are little understood. We aimed at understanding the spatial distribution of RILs in the urban zone of Temuco, Chile (38.8°S, 72.6°W). The area has the typical hydrometeorological conditions of southern Chile. We conducted our assessment with a temporal analysis of shallow deformations, obtained by synthetic aperture radar interferometry (Sentinel 1 A/B). These shallow deformation rates were compared with satellite precipitation data (CHIRPS product) and electrical resistivity tomography (ERT). We identified active RIL-prone zones with deformation rates greater than 60 mm during the period 2014 to 2017, supporting theories of hydrometeorological control. Slow movements were observed in volcanic soils, suggesting the influence of their geotechnical characteristics. Our results can be extrapolated to the southern Andes (35°S-43°S), where a large number of volcanic-sedimentary units are susceptible to RILs. Finally, integration of our multidisciplinary approach will facilitate understanding of the local RIL dynamics, allowing a better risk management to decision-makers in South American and other developing countries.
format article
author Ivo Fustos1, Pablo Moreno-Yaeger, Daniel Vasquez, Bastian Morales3 , Antonieta Silva, Elisa Ramirez
author_facet Ivo Fustos1, Pablo Moreno-Yaeger, Daniel Vasquez, Bastian Morales3 , Antonieta Silva, Elisa Ramirez
author_sort Ivo Fustos1, Pablo Moreno-Yaeger, Daniel Vasquez, Bastian Morales3 , Antonieta Silva, Elisa Ramirez
title eorlEvaluation of Rainfall-Induced Landslides triggering using a multidisciplinary approachIvo
title_short eorlEvaluation of Rainfall-Induced Landslides triggering using a multidisciplinary approachIvo
title_full eorlEvaluation of Rainfall-Induced Landslides triggering using a multidisciplinary approachIvo
title_fullStr eorlEvaluation of Rainfall-Induced Landslides triggering using a multidisciplinary approachIvo
title_full_unstemmed eorlEvaluation of Rainfall-Induced Landslides triggering using a multidisciplinary approachIvo
title_sort eorlevaluation of rainfall-induced landslides triggering using a multidisciplinary approachivo
publisher Pontificia Universidad Javeriana
publishDate 2020
url https://doaj.org/article/796beb0e918d49faa670982a712194c3
work_keys_str_mv AT ivofustos1pablomorenoyaegerdanielvasquezbastianmorales3antonietasilvaelisaramirez eorlevaluationofrainfallinducedlandslidestriggeringusingamultidisciplinaryapproachivo
_version_ 1718426057275604992