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Comparing physically-based with data-driven models for landslide susceptibility: a case study in the Catalan Pyrenees
dc.contributor | Medina Iglesias, Vicente César de |
dc.contributor | Hurlimann Ziegler, Marcel |
dc.contributor | Puig i Polo, Càrol |
dc.contributor.author | Alvarez Chaves, Manuel Antonio |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental |
dc.date.accessioned | 2022-01-26T08:10:23Z |
dc.date.available | 2022-01-26T08:10:23Z |
dc.date.issued | 2021-09-07 |
dc.identifier.uri | http://hdl.handle.net/2117/360703 |
dc.description.abstract | En este proyecto de investigación, se utilizaron un modelo físico (FSLAM) y cuatro modelos basados en datos (regresión logística, SVC, árbol de clasificación y bosque aleatorio) para mapear la susceptibilidad a los deslizamientos para un área de estudio ubicada en los Pirineos Catalanes. Seguidamente, se compararon los resultados de todos los modelos para determinar cuál funcionó mejor y en qué condiciones. También se discutieron las ventajas y desventajas de cada modelo, así como las limitaciones de sus productos finales. |
dc.description.abstract | In this research project, a physically-based (FSLAM) and four data-driven models (logistic regression, SVC, classification tree and random forest) were used to map landslide susceptibility for a case study area located in the Catalan Pyrenees. The results for all models were then compared in order to determine which performed best and under which conditions. The advantages and disadvantages of each model were also discussed as well as the limitations of their end products. |
dc.language.iso | eng |
dc.publisher | Universitat Politècnica de Catalunya |
dc.rights | Attribution-NonCommercial 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Enginyeria civil::Geologia::Riscos geològics |
dc.subject.lcsh | Landslides |
dc.subject.lcsh | Mappings |
dc.subject.other | landslide assessment |
dc.subject.other | susceptibility mapping |
dc.subject.other | physically-based models |
dc.subject.other | FSLAM |
dc.subject.other | data-driven models |
dc.subject.other | logistic regression |
dc.subject.other | support-vector classifier |
dc.subject.other | classification tree |
dc.subject.other | random forest |
dc.title | Comparing physically-based with data-driven models for landslide susceptibility: a case study in the Catalan Pyrenees |
dc.type | Master thesis |
dc.subject.lemac | Esllavissades |
dc.identifier.slug | PRISMA-162945 |
dc.rights.access | Open Access |
dc.date.updated | 2021-10-27T18:31:28Z |
dc.audience.educationlevel | Màster |
dc.audience.mediator | Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports de Barcelona |
dc.audience.degree | MÀSTER UNIVERSITARI ERASMUS MUNDUS EN GESTIÓ DEL RISC PER INUNDACIÓ (Pla 2019) |