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Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events

Land-use planning in regard of earthquake-triggered landslides is usually implemented by means of the production of hazard maps. The well-known Newmark rigid block methodology is the most frequent used approach for this purpose. In this method, slope stability is evaluated by the estimation of the N...

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Autores principales: Rodríguez-Peces, Martín J., Román-Herrera, José C., Peláez, José A., Delgado, José, Tsige, Meaza, Martino, Salvatore, Garrido, Jesús
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358656/
https://www.ncbi.nlm.nih.gov/pubmed/32685626
http://dx.doi.org/10.1016/j.dib.2020.105940
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author Rodríguez-Peces, Martín J.
Román-Herrera, José C.
Peláez, José A.
Delgado, José
Tsige, Meaza
Martino, Salvatore
Garrido, Jesús
author_facet Rodríguez-Peces, Martín J.
Román-Herrera, José C.
Peláez, José A.
Delgado, José
Tsige, Meaza
Martino, Salvatore
Garrido, Jesús
author_sort Rodríguez-Peces, Martín J.
collection PubMed
description Land-use planning in regard of earthquake-triggered landslides is usually implemented by means of the production of hazard maps. The well-known Newmark rigid block methodology 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 different categories of hazard. This methodology presents limitations 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 uncertainties 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 subjective criteria. This article provide data obtained from the use of logic-tree methodology; this dataset is useful for deriving 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 landslide hazard analyses” (Rodríguez-Peces et al., 2020) [1].
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spelling pubmed-73586562020-07-17 Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events Rodríguez-Peces, Martín J. Román-Herrera, José C. Peláez, José A. Delgado, José Tsige, Meaza Martino, Salvatore Garrido, Jesús Data Brief Earth and Planetary Science Land-use planning in regard of earthquake-triggered landslides is usually implemented by means of the production of hazard maps. The well-known Newmark rigid block methodology 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 different categories of hazard. This methodology presents limitations 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 uncertainties 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 subjective criteria. This article provide data obtained from the use of logic-tree methodology; this dataset is useful for deriving 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 landslide hazard analyses” (Rodríguez-Peces et al., 2020) [1]. Elsevier 2020-06-27 /pmc/articles/PMC7358656/ /pubmed/32685626 http://dx.doi.org/10.1016/j.dib.2020.105940 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Earth and Planetary Science
Rodríguez-Peces, Martín J.
Román-Herrera, José C.
Peláez, José A.
Delgado, José
Tsige, Meaza
Martino, Salvatore
Garrido, Jesús
Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
title Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
title_full Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
title_fullStr Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
title_full_unstemmed Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
title_short Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
title_sort unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events
topic Earth and Planetary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7358656/
https://www.ncbi.nlm.nih.gov/pubmed/32685626
http://dx.doi.org/10.1016/j.dib.2020.105940
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