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dc.creatorVega J.A.
dc.creatorMarín N.J.
dc.creatorHidalgo C.A.
dc.date2019
dc.date.accessioned2021-02-05T14:59:40Z
dc.date.available2021-02-05T14:59:40Z
dc.identifier.issn17578981
dc.identifier.urihttp://hdl.handle.net/11407/6106
dc.descriptionIn this paper, different statistical approaches are employed to consider several scenarios of hazard and infrastructure vulnerability to measure the magnitude of the mass movement and quantify the economic costs. In this context, we employ the techniques of simulation bootstrap, Monte-Carlo and variance reduction in the context of Monte-Carlo in order to compare the values of the economic losses before a potential disaster in an objective, standardized and reproducible way. With the purpose to explain the proposed methodology, a case study located in one of the most landslide-prone zone of the city of Medellin-Colombia is analysed, comparing different structural scenarios for a total of 48444 exposed buildings. Also, different seismic scenarios of landslide hazard were considered, varying the horizontal acceleration (Ah) that can act as one of the triggers of the mass movement. The novel proposed methodology permits to obtain an estimation of the probable economic losses by a certain landslide, and also to get better assessments by reducing the uncertainty and compare the results between different statistical approaches, taking into account the uncertainty of the exposed building costs. It is important to mention that between the simulated scenarios the better results are shown in the bootstrap simulation and Monte-Carlo simulation with reduction of variance. The analyzed simulation methodologies provide a better estimation of economic losses for horizontal acceleration of ground between 0 g and 0.3 g. It is noticed an economic reduction of on the order of 7%, 14% and 21% in the structural scenarios 2, 3 and 4 respectively, in comparison with the current structural condition of the exposed buildings, in case of a landslide triggered by an earthquake with the maximum expected horizontal acceleration for the city. © 2019 Published under licence by IOP Publishing Ltd.
dc.language.isoeng
dc.publisherInstitute of Physics Publishing
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85062420315&doi=10.1088%2f1757-899X%2f471%2f10%2f102009&partnerID=40&md5=0624ee6bceae2265d8331650d0ece866
dc.sourceIOP Conference Series: Materials Science and Engineering
dc.titleStatistical Approaches for the Assessment of Landslide-Related Economic Losses
dc.typeConference Papereng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería Civilspa
dc.publisher.programEconomíaspa
dc.identifier.doi10.1088/1757-899X/471/10/102009
dc.relation.citationvolume471
dc.relation.citationissue10
dc.publisher.facultyFacultad de Ingenieríasspa
dc.publisher.facultyFacultad de Ciencias Económicas y Administrativasspa
dc.affiliationVega, J.A., School of Engineering, Civil Engineering Program at University of Medellin, Colombia
dc.affiliationMarín, N.J., School of Engineering, Financial Engineering Program at University of Medellin, Colombia
dc.affiliationHidalgo, C.A., School of Engineering, Civil Engineering Program at University of Medellin, Colombia
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/other


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