On the applicability of available regression models for estimating Newmark displacements for low to moderate magnitude earthquakes. The case of the Betic Cordillera (S Spain)
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Título: | On the applicability of available regression models for estimating Newmark displacements for low to moderate magnitude earthquakes. The case of the Betic Cordillera (S Spain) |
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Autor/es: | Delgado, Jose | Rosa-Herranz, Julio | Peláez Montilla, José Antonio | Rodríguez-Peces, Martín Jesús | Garrido Manrique, Jesús | Tsigé, Meaza |
Grupo/s de investigación o GITE: | Geología Aplicada e Hidrogeología | Grupo de Ingeniería y Riesgo Sísmico (GIRS) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Ciencias de la Tierra y del Medio Ambiente | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal |
Palabras clave: | Earthquake-induced landslide | Newmark displacement | Regression models | Low magnitude | Betic cordillera |
Área/s de conocimiento: | Geodinámica Externa | Física Aplicada |
Fecha de publicación: | 5-sep-2020 |
Editor: | Elsevier |
Cita bibliográfica: | Engineering Geology. 2020, 274: 105710. doi:10.1016/j.enggeo.2020.105710 |
Resumen: | Newmark displacement estimation is generally computed using empirical models. These models are estimated from large datasets that mainly comprise moderate-to-high magnitude events (Mw > 6.0). In this work, we study the performance of several of these models to study moderate-to-low magnitude scenarios. For this purpose, data from the Betic Cordillera, S Spain, with magnitudes ranging from Mw 3.5 to 6.3, were used to compare with model predictions. The results show that errors in the estimates depend on the magnitude of events or on the yielding acceleration considered to estimate the displacement. The availability of an appropriate range of data (magnitude and yielding acceleration), when defining the regression model, may overcome the differences due to specific characteristics of the seismotectonic context of the area where data derives from. The results also show that performance of models including several ground motion predictors is better than those based on a single parameter, regardless of the combination these predictors. Furthermore, regression models with polynomial forms present a better performance than other functions based on the logarithm of these predictors. Finally, new specific models for the Betic Cordillera are proposed, especially suitable for low magnitude events (< 5.0) and low critical accelerations (< 0.1 g), based on simplified polynomial forms of models. |
Patrocinador/es: | This work was partially founded by the Spanish Ministry of Economy and EU FEDER funds (project EPILATES, CGL2015-65602-R) and by the Research Group VIGROB-184 (University of Alicante). Research was also partially funded by the Consejería de Economía, Conocimiento, Empresa y Universidad (Junta de Andalucía), in the frame of the Programa Operativo FEDER Andalucía 2014-2020 – call made by the University of Jaén 2018. |
URI: | http://hdl.handle.net/10045/107370 |
ISSN: | 0013-7952 (Print) | 1872-6917 (Online) |
DOI: | 10.1016/j.enggeo.2020.105710 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © 2020 Elsevier B.V. |
Revisión científica: | si |
Versión del editor: | https://doi.org/10.1016/j.enggeo.2020.105710 |
Aparece en las colecciones: | INV - GIRS - Artículos de Revistas INV - GAH - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
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Delgado_etal_2020_EngGeo_final.pdf | Versión final (acceso restringido) | 4,55 MB | Adobe PDF | Abrir Solicitar una copia |
Delgado_etal_2020_EngGeo_accepted.pdf | Accepted Manuscript (acceso abierto) | 2,23 MB | Adobe PDF | Abrir Vista previa |
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