Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
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LandslideEarthquakesSeismically-induced landslideHazard mapLogic-tree
Rodríguez-Peces, M. J., Román-Herrera, J. C., Peláez Montilla, J. A., Delgado, J., Tsige, M., Martino, S., & Garrido Manrique, J. (2020). Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events. [https://doi.org/10.1016/j.dib.2020.105940]
SponsorshipMINECO/FEDER, UE CGL2015-65602-R; MINECO CGL2017-83931-C3-1-P; Programa Operativo FEDER Andalucía 2014-2020 -call made by the University of Jaen 2018; Research group "Planetary Geodynamics, Active Tectonics and Related Risks" of the University Complutense of Madrid UCM-910368; Research group "Applied Geology and Hydrogeology" of the University of Alicante VIGROB-184
Land-use planning in regard of earthquake-triggered land- slides is usually implemented by means of the production of hazard maps. The well-known Newmark rigid block method- ology is the most frequent used approach for this purpose. In this method, slope stability is evaluated by the estimation of the Newmark displacement, which is used to set differ- ent categories of hazard. This methodology presents limita- tions due to the difficulty of incorporating the variability of the used variables. For that reason, the logic-tree approach has been used in order to incorporate the epistemic uncer- tainties and compute probabilistic seismic-landslide hazard maps. However, the used weights in the logic-tree are usually set for each branch based on an expert judgement or sub- jective criteria. This article provide data obtained from the use of logic-tree methodology; this dataset is useful for de- riving the unbiased weights to use in such methodology and in moderate-to-low magnitude scenarios. The data presented here are related to the article entitled “Obtaining suitable logic-tree weights for probabilistic earthquake-induced land- slide hazard analyses".