The importance of rainfall infiltration on landslide occurrence at regional scale. Analysis of typhoons in the Philippines

Most landslides occur during or after rainy periods around the world, and many of these have been linked to catastrophic events that resulted in significant property damage and fatalities. In this research project, a physically based model called “Fast Shallow Landslide Assessment Model” (FSLAM) was...

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Detalles Bibliográficos
Autor: Asurza Véliz, Flavio Alexander
Tipo de recurso: tesis de maestría
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/375381
Acceso en línea:https://hdl.handle.net/2117/375381
Access Level:acceso abierto
Palabra clave:Landslides
Typhoons
landslide susceptibility
Philippines
MORLE
no-MORLE
FSLAM
hydrological modelling
subsurface hydrology
Esllavissades
Tifons
Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia::Mecànica de roques
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spelling The importance of rainfall infiltration on landslide occurrence at regional scale. Analysis of typhoons in the PhilippinesAsurza Véliz, Flavio AlexanderLandslidesTyphoonslandslide susceptibilityPhilippinesMORLEno-MORLEFSLAMhydrological modellingsubsurface hydrologyEsllavissadesTifonsÀrees temàtiques de la UPC::Enginyeria civil::Geotècnia::Mecànica de roquesMost landslides occur during or after rainy periods around the world, and many of these have been linked to catastrophic events that resulted in significant property damage and fatalities. In this research project, a physically based model called “Fast Shallow Landslide Assessment Model” (FSLAM) was used, with a high-resolution topography (5 meters), to map landslide susceptibility for a case study area located in Luzon Island, province of Benguet, Philippines. The research was focused on Typhoon Mangkhut which caused a multiple-occurrence regional landslide events (MORLE) in the area in September 2018. A landslide inventory was collected for this event which was used to assess the performance of the model. Additionally, two no MORLE were tested in July and August 2018. No MORLE were events with higher rainfall intensity than typhoon Mangkhut that did not lead to landslides in the study area. For calibration purpose, an automatic calibration tool (R-FSLAM) was developed in R, which allowed to speed up the calibration process using a multiobjective criteria based on the landslide susceptibility map accuracy of FSLAM. Finally, FSLAM results were coupled with a hydrological model. In terms of statistical performance, FSLAM showed an accuracy of 0.63 during MORLE in September 2018, where stable cells (no-landslide) were better represented (TNR = 0.73) than the unstable cells (no-landslide) (TPR = 0.54). No-MORLE in July and August 2018 performed well reaching an accuracy above 0.9. Two main parameters were found to control cells instability (landslide prone cells) in FSLAM: antecedent effective recharge (q_a) and porosity (n). During MORLE, q_a had to be very low (~ 0.12 mm/day) to cause landslides, while n had to be close to zero. In no-MORLE, q_a was zero and n was greater than n MORLE values. Furthermore, physical meaning of n had to be re-interpretated and renamed (fillable porosity - n_f) as it behaved as a ‘dynamic’ parameter which varies according to soil waterUniversitat Politècnica de CatalunyaMedina Iglesias, Vicente César deAbanco Martínez de Arenzana, ClaudiaHurlimann Ziegler, Marcel20222022-09-0720222022-11-02master thesishttp://purl.org/coar/resource_type/c_bdccNAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2117/375381reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3753812026-05-27T15:37:01Z
dc.title.none.fl_str_mv The importance of rainfall infiltration on landslide occurrence at regional scale. Analysis of typhoons in the Philippines
title The importance of rainfall infiltration on landslide occurrence at regional scale. Analysis of typhoons in the Philippines
spellingShingle The importance of rainfall infiltration on landslide occurrence at regional scale. Analysis of typhoons in the Philippines
Asurza Véliz, Flavio Alexander
Landslides
Typhoons
landslide susceptibility
Philippines
MORLE
no-MORLE
FSLAM
hydrological modelling
subsurface hydrology
Esllavissades
Tifons
Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia::Mecànica de roques
title_short The importance of rainfall infiltration on landslide occurrence at regional scale. Analysis of typhoons in the Philippines
title_full The importance of rainfall infiltration on landslide occurrence at regional scale. Analysis of typhoons in the Philippines
title_fullStr The importance of rainfall infiltration on landslide occurrence at regional scale. Analysis of typhoons in the Philippines
title_full_unstemmed The importance of rainfall infiltration on landslide occurrence at regional scale. Analysis of typhoons in the Philippines
title_sort The importance of rainfall infiltration on landslide occurrence at regional scale. Analysis of typhoons in the Philippines
dc.creator.none.fl_str_mv Asurza Véliz, Flavio Alexander
author Asurza Véliz, Flavio Alexander
author_facet Asurza Véliz, Flavio Alexander
author_role author
dc.contributor.none.fl_str_mv Medina Iglesias, Vicente César de
Abanco Martínez de Arenzana, Claudia
Hurlimann Ziegler, Marcel
dc.subject.none.fl_str_mv Landslides
Typhoons
landslide susceptibility
Philippines
MORLE
no-MORLE
FSLAM
hydrological modelling
subsurface hydrology
Esllavissades
Tifons
Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia::Mecànica de roques
topic Landslides
Typhoons
landslide susceptibility
Philippines
MORLE
no-MORLE
FSLAM
hydrological modelling
subsurface hydrology
Esllavissades
Tifons
Àrees temàtiques de la UPC::Enginyeria civil::Geotècnia::Mecànica de roques
description Most landslides occur during or after rainy periods around the world, and many of these have been linked to catastrophic events that resulted in significant property damage and fatalities. In this research project, a physically based model called “Fast Shallow Landslide Assessment Model” (FSLAM) was used, with a high-resolution topography (5 meters), to map landslide susceptibility for a case study area located in Luzon Island, province of Benguet, Philippines. The research was focused on Typhoon Mangkhut which caused a multiple-occurrence regional landslide events (MORLE) in the area in September 2018. A landslide inventory was collected for this event which was used to assess the performance of the model. Additionally, two no MORLE were tested in July and August 2018. No MORLE were events with higher rainfall intensity than typhoon Mangkhut that did not lead to landslides in the study area. For calibration purpose, an automatic calibration tool (R-FSLAM) was developed in R, which allowed to speed up the calibration process using a multiobjective criteria based on the landslide susceptibility map accuracy of FSLAM. Finally, FSLAM results were coupled with a hydrological model. In terms of statistical performance, FSLAM showed an accuracy of 0.63 during MORLE in September 2018, where stable cells (no-landslide) were better represented (TNR = 0.73) than the unstable cells (no-landslide) (TPR = 0.54). No-MORLE in July and August 2018 performed well reaching an accuracy above 0.9. Two main parameters were found to control cells instability (landslide prone cells) in FSLAM: antecedent effective recharge (q_a) and porosity (n). During MORLE, q_a had to be very low (~ 0.12 mm/day) to cause landslides, while n had to be close to zero. In no-MORLE, q_a was zero and n was greater than n MORLE values. Furthermore, physical meaning of n had to be re-interpretated and renamed (fillable porosity - n_f) as it behaved as a ‘dynamic’ parameter which varies according to soil water
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-09-07
2022
2022-11-02
dc.type.none.fl_str_mv master thesis
http://purl.org/coar/resource_type/c_bdcc
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/375381
url https://hdl.handle.net/2117/375381
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-ShareAlike 4.0 International
http://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universitat Politècnica de Catalunya
publisher.none.fl_str_mv Universitat Politècnica de Catalunya
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300724

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