Landslide susceptibility mapping based on triggering factors using a multi-modal approach
Landslide susceptibility mapping has been done using statistical and physically-based assessment techniques with limited focus on mode-specific models to identify failure modes and runout patterns. Because each failure mode has different consequences, it is essential to identify the failure mode ass...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2019-01-01
|
Series: | MATEC Web of Conferences |
Online Access: | https://www.matec-conferences.org/articles/matecconf/pdf/2019/30/matecconf_incer2019_02002.pdf |
id |
doaj-7fcbc91151de438badf84db924e62976 |
---|---|
record_format |
Article |
spelling |
doaj-7fcbc91151de438badf84db924e629762021-04-02T07:32:05ZengEDP SciencesMATEC Web of Conferences2261-236X2019-01-012810200210.1051/matecconf/201928102002matecconf_incer2019_02002Landslide susceptibility mapping based on triggering factors using a multi-modal approachKaafarani Rouba0Abou-Jaoude Grace1Wartman Joseph2Tawk Miriam3Graduate Student, Civil Engineering Department, Lebanese American UniversityAssociate Professor, Civil Engineering Department, Lebanese American UniversityProfessor, Civil and Environmental Engineering Department, University of WashingtonDoctoral Student, School of Civil, Mining & Environmental Engineering, University of WollongongLandslide susceptibility mapping has been done using statistical and physically-based assessment techniques with limited focus on mode-specific models to identify failure modes and runout patterns. Because each failure mode has different consequences, it is essential to identify the failure mode associated with each slope inclination category, triggering factor, and geological setting. This paper presents a multimodal regionalscale assessment procedure for rainfall and earthquake-induced landslides, in the country of Lebanon, where landslide inventories are not available. Three failure modes are studied: debris flows, rock-slope failures, and coherent rotational slides. Areas prone to each mode of failure are identified based on geology and topography, then, using mode-specific models, their susceptibility to landslides is assessed. A runout assessment approach is then presented to identify the influence area of each predicted landslide and to obtain comprehensive susceptibility maps. Field assessment validated the proposed model which was in good agreement with actual slope failures across Lebanon. Therefore, the multimodal approach may be used to assess rainfall-induced landslide susceptibility, especially when landslide inventories are unavailable.https://www.matec-conferences.org/articles/matecconf/pdf/2019/30/matecconf_incer2019_02002.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kaafarani Rouba Abou-Jaoude Grace Wartman Joseph Tawk Miriam |
spellingShingle |
Kaafarani Rouba Abou-Jaoude Grace Wartman Joseph Tawk Miriam Landslide susceptibility mapping based on triggering factors using a multi-modal approach MATEC Web of Conferences |
author_facet |
Kaafarani Rouba Abou-Jaoude Grace Wartman Joseph Tawk Miriam |
author_sort |
Kaafarani Rouba |
title |
Landslide susceptibility mapping based on triggering factors using a multi-modal approach |
title_short |
Landslide susceptibility mapping based on triggering factors using a multi-modal approach |
title_full |
Landslide susceptibility mapping based on triggering factors using a multi-modal approach |
title_fullStr |
Landslide susceptibility mapping based on triggering factors using a multi-modal approach |
title_full_unstemmed |
Landslide susceptibility mapping based on triggering factors using a multi-modal approach |
title_sort |
landslide susceptibility mapping based on triggering factors using a multi-modal approach |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2019-01-01 |
description |
Landslide susceptibility mapping has been done using statistical and physically-based assessment techniques with limited focus on mode-specific models to identify failure modes and runout patterns. Because each failure mode has different consequences, it is essential to identify the failure mode associated with each slope inclination category, triggering factor, and geological setting. This paper presents a multimodal regionalscale assessment procedure for rainfall and earthquake-induced landslides, in the country of Lebanon, where landslide inventories are not available. Three failure modes are studied: debris flows, rock-slope failures, and coherent rotational slides. Areas prone to each mode of failure are identified based on geology and topography, then, using mode-specific models, their susceptibility to landslides is assessed. A runout assessment approach is then presented to identify the influence area of each predicted landslide and to obtain comprehensive susceptibility maps. Field assessment validated the proposed model which was in good agreement with actual slope failures across Lebanon. Therefore, the multimodal approach may be used to assess rainfall-induced landslide susceptibility, especially when landslide inventories are unavailable. |
url |
https://www.matec-conferences.org/articles/matecconf/pdf/2019/30/matecconf_incer2019_02002.pdf |
work_keys_str_mv |
AT kaafaranirouba landslidesusceptibilitymappingbasedontriggeringfactorsusingamultimodalapproach AT aboujaoudegrace landslidesusceptibilitymappingbasedontriggeringfactorsusingamultimodalapproach AT wartmanjoseph landslidesusceptibilitymappingbasedontriggeringfactorsusingamultimodalapproach AT tawkmiriam landslidesusceptibilitymappingbasedontriggeringfactorsusingamultimodalapproach |
_version_ |
1724171123417939968 |