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dc.creatorVega J.A.
dc.creatorMarín N.J.
dc.creatorHidalgo C.A.
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.publisherInstitute of Physics Publishing
dc.sourceIOP Conference Series: Materials Science and Engineering
dc.titleStatistical Approaches for the Assessment of Landslide-Related Economic Losses
dc.typeConference Papereng
dc.publisher.programIngeniería Civilspa
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
dc.relation.referencesVega, J., Hidalgo, C., (2017) Advancing Culture of Living with Landslide - Advances in Landslide Science (Volume 2), pp. 953-963. , (Springer International Publishing AG) Risk Assessment of Earthquake-Induced Landslides in Urban Zones
dc.relation.referencesHidalgo, C.A., Vega, J.A., Hazard estimation for landslides triggered by earthquakes and rainfall (Aburrá Valley-Colombia) (2014) Revista EIA, 11, pp. 71-85
dc.relation.referencesHidalgo, C., Vega, J., Parra, M., Effect of the Rainfall Infiltration Processes on the Landslide Hazard Assessment of Unsaturated Soils in Tropical Mountainous Regions (2018) Publicado En: "engineering and Mathematical Topics in Rainfall," in Engineering and Mathematical Topics in Rainfall, , (InTechOpen publisher)
dc.relation.referencesQuan Luna, B., Blahut, J., Camera, C., Van Westen, C., Apuani, T., Jetten, V., Sterlacchini, S., Physically based dynamic run-out modelling for quantitative debris flow risk assessment: A case study in Tresenda, northern Italy (2014) Environ Earth Sci., 72, pp. 645-661
dc.relation.referencesPuissant, A., Van Den Eeckhaut, M., Malet, J.P., Maquaire, O., Landslide consequence analysis: A region-scale indicator-based methodology (2013) Landslides
dc.relation.referencesSilva, M., Pereira, S.S., Assessment of physical vulnerability and potential losses of buildings due to shallow slides (2014) Nat Hazards, 72 (2), pp. 1029-1050
dc.relation.referencesCiurean, R.L., Hussin, H., Van Westen, C.J., Jaboyedoff, M., Nicolet, P., Chen, L., Frigerio, S., Glade, T., Multi-scale debris flow vulnerability assessment and direct loss estimation of buildings in the Eastern Italian Alps (2017) Nat Hazards, 85 (2), pp. 929-957
dc.relation.referencesPereira, S., Garcia, R., Zêzere, J.L., Cruz Oliveira, S., Silva, M., Landslide quantitative risk analysis of buildings at the municipal scale based on a rainfall triggering scenario (2017) Geomatics, Natural Hazards and Risk, 8 (2), pp. 624-648
dc.relation.referencesVega, J., Hidalgo, C., Quantitative risk assessment of landslides triggered by earthquakes and rainfall based on direct costs of urban buildings (2016) Geomorphology, 273, pp. 217-235
dc.relation.referencesRemondo, J., Bonachea, J., Cendrero, A., Quantitative landslide risk assessment and mapping on the basis of recent occurrences (2008) Geomorphology, 94 (3-4), pp. 496-507
dc.relation.referencesChen, L.L., Van Westen, C., Hussin, H., Ciurean, R., Turkington, T., Chavarro-Rincon, D., Shrestha, D.P., Integrating expert opinion with modelling for quantitative multi-hazard risk assessment in the Eastern Italian Alps (2016) Geomorphology, 273, pp. 150-167
dc.relation.referencesZêzere, J., García, R., Oliveira, S., Reis, E., Probabilistic landslide risk analysis considering direct costs in the area north of Lisbon (Portugal) (2008) Geomorphology, 94 (3-4), pp. 467-495
dc.relation.referencesPapathoma-Kohle, M., Zischg, A., Fuchs, S., Glade, T., Keiler, M., Loss estimation for landslides in mountain areas - An integrated toolbox for vulnerability assessment and damage documentation (2015) Environmental Modelling & Software, 63, pp. 156-169
dc.relation.referencesVega, J.A., Hidalgo, C.A., Marín, N.J., Landslide risk: An economic valuation in the north eastern zone of Medellin City (2017) IOP Conference Series: Materials Science and Engineering, 245
dc.relation.referencesChen, S.L., Cheng, C.P., Influence of Failure Probability Due to Parameter and Anchor Variance of a Freeway Dip Slope Slide - A Case Study in Taiwan (2017) Entropy, 19 (8), p. 431
dc.relation.referencesGlasserman, P., Monte, P., (2013) Carlo Methods in Financial Engineering, 53. , (Springer Science amp
dc.relation.referencesBusiness Media)

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