Person: Rodríguez Peces, Martín Jesús
Loading...
First Name
Martín Jesús
Last Name
Rodríguez Peces
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Ciencias Geológicas
Department
Geodinámica, Estratigrafía y Paleontología
Area
Geodinámica Interna
Identifiers
11 results
Search Results
Now showing 1 - 10 of 11
Item Ambient Noise Measurements to Constrain the Geological Structure of the Güevéjar Landslide (S Spain)(Applied Sciences, 2021) Delgado, José; Galiana Merino, Juan José; García-Tortosa, Francisco J.; Garrido, Jesús; Lenti, Luca; Martino, Salvatore; Peláez, José A.; Rodríguez Peces, Martín Jesús; Sanz De Galdeano-Equiza, Carlos; Soler Llorens, Juan L.The reactivation of very large landslides may cause severe damage to society. Its prevention and management requires detailed information on the geometry and structure of these landslides, but the use of standard techniques (boreholes) may be prohibitive from an economic point of view. To overcome these difficulties, geophysical techniques are of special interest because they allow for studying very large areas at a reasonable cost. In this paper, we present a case study wherein the analysis of ambient noise allowed us to produce a model of a large landslide near Granada (southern Spain). The geometry and location of the failure zone, as well as the assessment of the state of involved materials, were estimated by combining two available boreholes and different geophysical techniques (downhole tests and the spectral analysis of ambient noise, horizontal to vertical spectral ratios (HVSR) and the frequency-wavenumber (f-k) methods). The results have allowed us to differentiate between values within the landslide mass with respect to those of stable materials, and to perform for the first time a comprehensive geological model of this unstable mass. Differences were also observed within the landslide mass (earth flow vs. slide zones), which are attributed to differences in the degree of alteration and the disturbance of the internal structure of materials constituting the landslide mass. These results show that techniques based on the measurement of ambient noise are of special interest for studying very large, highly remolded landslide masses.Item Newmark displacement data for low to moderate magnitude events in the Betic Cordillera(Data in Brief, 2020) Delgado, José; Rosa, Julio; Peláez, José A.; Rodríguez Peces, Martín Jesús; Tsige Beyene, MeazaLand-use decisions in relation to seismic-induced landslide hazard are usually made through the preparation of hazard maps. The rigid-block method is probably the most used for this purpose. Under this method, Newmark displacement is computed for each slope unit and this displacement is used as a guide for establishing categories of hazard. At present, most relations used for computing Newmark displacement are established from moderate-to-high magnitude earthquakes (Mw ≥ 6.5). This data article provides Newmark displacements computed from accelerograms recorded in the Betic Cordillera for low-to-moderate magnitude earthquakes (Mw = 3.5–6.3). Records come from the Spanish Strong Ground Motion database (Instituto Geográfico Nacional). Newmark displacements were computed focusing on yield accelerations frequently recorded in such scenarios (0.02, 0.03, 0.04, 0.05, 0.06, 0.08 and 0.10), although higher accelerations were also considered (0.125, 0.15, 0.20, 0.25 and 0.30 g's). These data are useful for the study of the hazard in seismic scenarios of low-to-moderate magnitude, very frequent in practice. These data have been used in the study by Delgado et al.Item Evaluation of road network slopes susceptibility to seismically-induced landslides in the Granada Basin (S Spain)(Frontiers in Earth Science, 2023) Román Herrera, J.C.; Delgado García, Jorge; Rodríguez Peces, Martín Jesús; Peláez, J. A.; Garrido, J.In this work, a method for the fast evaluation of seismically-induced landslides is applied at regional scale in the Granada Basin (southern Spain). The methodology is based on the concept of rigid block but takes into account the variability in input data (geotechnical properties, failure depth and saturation state of the materials) through the use of a logical tree scheme. Input data were combined and evaluated using five different Newmark displacement empirical relations, which are automatically weighted to obtain a final co-seismic landslide susceptibility map. A Geographic Information System system was used to obtain the resulting maps considering the different branches and weights of the logic tree through an specifically developed automatic code written in Phyton. The landslides induced by the 2021 Mw 4.4 events of the Santa Fe seismic series have been used to validate the methodology. This is later used as input along with the road network to analyze the distribution of areas of different susceptibility level. The results obtained show that 1.73% of the total area is characterized by moderate to high susceptibility, being the southern and eastern sections of the Granada basin were more vulnerable slopes are found. When considering only zones around the road network (50 m buffer), it is found that 2.11% of slopes around highways and 1.33% of road slopes have moderate to high susceptibility, especially the A-92 highway and the A-338 road. These roads traverse areas with steep slopes and a combination of hard and soft materials, which increases the susceptibility of disrupted landslides. On the other hand, in more densely populated areas such as the metropolitan area of Granada, the susceptibility is lower due to their location on terrain with low to negligible slopes. The results are of interest for authorities managing slope stabilities because they allow establishing effective and locally-based seismic forecast works in order to minimize the damage of future events.Item Unbiased logic-tree data for earthquake-induced landslide hazard maps for low-to-moderate magnitude events(Data in Brief, 2020) Rodríguez Peces, Martín Jesús; Román Herrera, J.C.; Peláez, José A.; Delgado, José; Tsige Beyene, Meaza; Martino, Salvatore; Garrido, JesúsLand-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)Item Linking earthquake-triggered paleolandslides to their seismic source and to the possible seismic event that originated them in a portion of the Argentine Precordillera (31°–33°S)(Natural Hazards, 2021) Junquera Torrado, Sebastián; Moreiras, Stella M.; Rodríguez Peces, Martín Jesús; Sepúlveda, Sergio A.A total of 36 rock slides were selected for analysing a probable seismic source in the active Andean Precordillera (31°–33°S), the most seismic region of Argentina. Seven of these slope instabilities were selected for in-depth analysis in the field as a function of the most frequent class, lithological susceptibility and field accessibility. Reconstructing the topography previous to collapse and using geotechnical parameters extracted from field data in conjunction with geomechanical testing, the rock slides were modelled using pseudostatic limit equilibrium analyses for the obtention of the critical probabilistic acceleration (ac) required to generate the instability under unsaturated conditions and considering both the horizontal and vertical seismic components. To perform a probabilistic estimation of ac, the parameters in relation to the generalized Hoek–Brown failure criterion were selected to operate statistically using 2D SLIDE 8.0 software. Applying inversely Ground Motion Prediction Equations (GMPEs) and concerning the distance to the studied paleolandslide, a possible earthquake inducing a seismic coefficient (kh) ≥ ac was determined. Therefore, a near active fault(s) capable of generating an earthquake magnitude inducing a Peak Ground Acceleration (PGA) ≥ ac at the paleolandslide location was designated as the possible seismogenic source of the slope instability. Intersecting these results, potential paleoseismic events which could have caused several slope instabilities were determined. Thus, a new methodology was developed, which allowed to determine the main seismogenic sources capable of inducing the modelled instabilities in each studied subarea in the Precordillera.- Project number: 66
Item Material audiovisual para la aplicación de la técnica de representación estereográfica en Geología Estructural e Ingeniería Geológica(2023) Rodríguez Peces, Martín Jesús; Insua Arévalo, Juan Miguel; Castiñeiras García, Pedro; Álvarez Gómez, José Antonio; Alonso Henar, Jorge; Fernández Rodríguez, Carlos; Jiménez Molina, David; Tsige Beyene, Meaza; Martínez Díaz, José Jesús; Ruiz Pérez, Javier; Garzón Roca, Julio; Melentijevic Devetakovic, Svetlana; Fernández Esteban, David; Pinto De La Casa, Guillermo; De Pro Díaz, Yolanda; Herrero Barbero, Paula; Sánchez Roldán, José Luis; Jiménez García, Icíar; Martínez Rodríguez, Aaron; Peñalver Sánchez, Hannan; Uzkeda Apesteguia, Hodei; Rodríguez Peces, Martín Jesús; Rodríguez -Peces, Martín JesúsEl objetivo principal del presente proyecto es generar información audiovisual moderna, atractiva e inédita hasta la fecha en español que facilite a los estudiantes nuevas maneras de aprendizaje de técnicas de representación espacial para su utilización en la resolución de problemas de Geología e Ingeniería Geológica. Estas técnicas requieren un entrenamiento mental que es difícil de abordar en las limitadas horas de docencia que el profesor puede dedicar por alumno, por lo que este material audiovisual pretende reforzar el aprendizaje de los estudiantes de manera sencilla y eficaz fuera de las horas lectivas presenciales. Este objetivo principal se alcanzará mediante el planteamiento de objetivos parciales que quedarán agrupados en dos bloques: - Geología Estructural: Generar material audiovisual para la resolución de problemas de Geología Estructural clásicos: representación y análisis de pliegues, fallas, discordancias y basculamientos, definición y orientación del tensor de esfuerzos. - Ingeniería Geológica: Generar material audiovisual para Resolución de problemas de Ingeniería Geológica relacionados con el análisis de estabilidad de taludes en macizos rocosos. Item Comparison between Machine Learning and Physical Models Applied to the Evaluation of Co-Seismic Landslide Hazard(Applied Sciences, 2023) Román Herrera, J.C.; Rodríguez Peces, Martín Jesús; Garzón Roca, JulioA comparative methodology between advanced statistical tools and physical-based methods is carried out to ensure their reliability and objectivity for the evaluation of co-seismic landslide hazard maps. To do this, an inventory of landslides induced by the 2011 Lorca earthquake is used to highlight the usefulness of these methods to improve earthquake-induced landslide hazard analyses. Various statistical models, such as logistic regression, random forest, artificial neural network, and support vector machine, have been employed for co-seismic landslide susceptibility mapping. The results demonstrate that machine learning techniques using principal components (especially, artificial neural network and support vector machine) yield better results compared to other models. In particular, random forest shows poor results. Artificial neural network and support vector machine approaches are compared to the results of physical-based methods in the same area, suggesting that machine learning methods can provide better results for developing co-seismic landslide susceptibility maps. The application of different advanced statistical models shows the need for validation with an actual inventory of co-seismic landslides to ensure reliability and objectivity. In addition, statistical methods require a great amount of data. The results establish effective land planning and hazard management strategies in seismic areas to minimize the damage of future co-seismic landslides.Item Geomechanical behavior evolution of the rock mass involved in the Arteara rock avalanche, Gran Canaria, Canary Islands, Spain(IOP Conference Series: Earth and Environmental Science, 2021) Antón Bayona, L.M.; Rodríguez Peces, Martín Jesús; Yepes, J.In Arteara (Canary Island), a Holocene rock avalanche comprises accumulation of large reddish blocks which cover the Fataga ravine. This course, is entrenched into the Phonolitic Formation, an alternating sequence of lava flows and ignimbrites. The avalanche defines an elongated deposit of variable thickness. A low friction angle was deduced, which is related to an easily weathered bedrock favorable to the rolling of the blocks. The movement would have been a dry granular flow with a component of saltation at the head and of turbulent flow at the intermediate and distal areas. The deposit varies widely in size and is structured in bands of blocks with a polymodal distribution and low selection. The geomechanical properties of the rocks involved vary substantially in each block and along a longitudinal profile of the deposit. Schmidt Hammer rebound measured in 233 blocks show a polymodal dispersion. Some facies have been differentiated in the blocks, not only by their appearance, but also by their rebound index (R). The different hardness reflects the differences in density and porosity. The hardness zoning shows the differential weathering of the blocks, which depends on the rock anisotropy and the flow turbulence, which determines the influence of abrasion and punching of the blocks. The rebound shows a direct correlation with the bulk density and an inverse correlation with the distance to the source area.Item Obtaining suitable logic-tree weights for probabilistic earthquake-induced landslide hazard analyses(Engineering Geology, 2020) Rodríguez Peces, Martín Jesús; Román Herrera, J.C.; Peláez, J.A.; Delgado, J.; Tsige Beyene, Meaza; Missori, C.; Martino, S.; Garrido, J.In this study, an inventory of landslides induced by the 2011 Lorca earthquake (Mw 5.1) has been used in order to develop a new procedure to obtain objective logic-tree weights for a probabilistic earthquake-induced landslide hazard analysis. The 2011 Lorca earthquake triggered more than 250 landslides, mainly of disrupted type. The logic-tree was designed having regard to variability of relevant geotechnical parameters involved in the problem and uncertainties associated with the use of several empirical relationships in order to compute Newmark displacements. For the purpose, the resulting hazard maps were compared with this landslide inventory, and weights estimated for each branch of the logic tree based on these results. The best model for seismic landslide hazard mapping for a moderate earthquake correctly identifies around 72% of landslide areas. Based on the set of parameters that comprises (depth of failure surface, specific weight, cohesion, friction angle and Newmark displacement model), the corresponding weights were objectively established. These weights are reliable enough for the obtaining seismic landslide hazard maps and may be implemented in similar environments characterized by moderate-low magnitude earthquakes (Mw < 5.5).Item 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)(Engineering Geology, 2020) Delgado, José; Rosa, Julio; Peláez, José A.; Rodríguez Peces, Martín Jesús; Garrido, Jesús; Tsige Beyene, MeazaNewmark 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.