Articles | Volume 23, issue 6
https://doi.org/10.5194/nhess-23-2031-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-23-2031-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Seismogenic potential and tsunami threat of the strike-slip Carboneras fault in the western Mediterranean from physics-based earthquake simulations
José A. Álvarez-Gómez
CORRESPONDING AUTHOR
Department of Geodynamics, Stratigraphy and Paleontology, Faculty of Geology, Complutense University of Madrid, Madrid, Spain
Paula Herrero-Barbero
Department of Geodynamics, Stratigraphy and Paleontology, Faculty of Geology, Complutense University of Madrid, Madrid, Spain
Geosciences Barcelona CSIC, GEO3BCN-CSIC, Barcelona, Spain
José J. Martínez-Díaz
Department of Geodynamics, Stratigraphy and Paleontology, Faculty of Geology, Complutense University of Madrid, Madrid, Spain
IGEO, Geosciences Institute, CSIC-UCM, Madrid, Spain
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Jose Antonio Ortega-Becerril, Guillermina Garzón, Marta Béjar-Pizarro, and Jose Jesús Martínez-Díaz
Nat. Hazards Earth Syst. Sci., 16, 2273–2286, https://doi.org/10.5194/nhess-16-2273-2016, https://doi.org/10.5194/nhess-16-2273-2016, 2016
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Human-induced changes in semi-arid regions could be responsible for modifications in ephemeral streams. Our results confirm that in-channel gravel mining and aquifer overexploitation over the last 50 years in the study area have changed the natural stability of the Nogalte stream and its geomorphic parameters. A comparison between flood events of the past and a recent one recorded in 2012 reveals changes and a new flooding pattern with a transition from an alluvial to a confined fluvial pattern.
Related subject area
Earthquake Hazards
Earthquake hazard characterization by using entropy: application to northern Chilean earthquakes
Seismic risk scenarios for the residential buildings in the Sabana Centro province in Colombia
Looking for undocumented earthquake effects: a probabilistic analysis of Italian macroseismic data
Spatiotemporal seismicity pattern of the Taiwan orogen
A web-based GIS (web-GIS) database of the scientific articles on earthquake-triggered landslides
Evaluation of liquefaction triggering potential in Italy: a seismic-hazard-based approach
Earthquake vulnerability assessment of the built environment in the city of Srinagar, Kashmir Himalaya, using a geographic information system
Earthquake-induced landslides in Norway
PERL: a dataset of geotechnical, geophysical, and hydrogeological parameters for earthquake-induced hazards assessment in Terre del Reno (Emilia-Romagna, Italy)
Development of a seismic loss prediction model for residential buildings using machine learning – Ōtautahi / Christchurch, New Zealand
A non-extensive approach to probabilistic seismic hazard analysis
Inferring the depth and magnitude of pre-instrumental earthquakes from intensity attenuation curves
Tsunami scenario triggered by a submarine landslide offshore of northern Sumatra Island and its hazard assessment
Scrutinizing and rooting the multiple anomalies of Nepal earthquake sequence in 2015 with the deviation–time–space criterion and homologous lithosphere–coversphere–atmosphere–ionosphere coupling physics
On the calculation of smoothing kernels for seismic parameter spatial mapping: methodology and examples
Accounting for path and site effects in spatial ground-motion correlation models using Bayesian inference
Mass flows, turbidity currents and other hydrodynamic consequences of small and moderate earthquakes in the Sea of Marmara
Brief communication: The crucial assessment of possible significant vertical movements preceding the 28 December 1908, Mw = 7.1, Messina Straits earthquake
Geologic and geodetic constraints on the magnitude and frequency of earthquakes along Malawi's active faults: the Malawi Seismogenic Source Model (MSSM)
Probabilistic fault displacement hazard analysis for the north Tabriz fault
Landslides triggered by the 2015 Mw 6.0 Sabah (Malaysia) earthquake: inventory and ESI-07 intensity assignment
Pseudo-prospective testing of 5-year earthquake forecasts for California using inlabru
An updated area-source seismogenic model (MA4) for seismic hazard of Italy
Identifying plausible historical scenarios for coupled lake level and seismicity rate changes: the case for the Dead Sea during the last 2 millennia
Analysis of seismic strain release related to the tidal stress preceding the 2008 Wenchuan earthquake
A morphotectonic approach to the study of earthquakes in Rome
Fault slip potential induced by fluid injection in the Matouying enhanced geothermal system (EGS) field, Tangshan seismic region, North China
Magnitude and source area estimations of severe prehistoric earthquakes in the western Austrian Alps
Hidden-state modeling of a cross-section of geoelectric time series data can provide reliable intermediate-term probabilistic earthquake forecasting in Taiwan
Sensitivity analysis of input ground motion on surface motion parameters in high seismic regions: a case of Bhutan Himalaya
Earthquake-induced landslide monitoring and survey by means of InSAR
Ground motion variability in Israel from 3-D simulations of M 6 and M 7 earthquakes
Ground motion prediction maps using seismic-microzonation data and machine learning
A sanity check for earthquake recurrence models used in PSHA of slowly deforming regions: the case of SW Iberia
Development of a seismic site-response zonation map for the Netherlands
Characterization of fault plane and coseismic slip for the 2 May 2020, Mw 6.6 Cretan Passage earthquake from tide gauge tsunami data and moment tensor solutions
Urban search and rescue (USAR) simulation system: spatial strategies for agent task allocation under uncertain conditions
Modelling earthquake rates and associated uncertainties in the Marmara Region, Turkey
Vulnerability and site effects in earthquake disasters in Armenia (Colombia) – Part 2 : Observed damage and vulnerability
Integrating macroseismic intensity distributions with a probabilistic approach: an application in Italy
Spatiotemporal heterogeneity of b values revealed by a data-driven approach for the 17 June 2019 MS 6.0 Changning earthquake sequence, Sichuan, China
A harmonised instrumental earthquake catalogue for Iceland and the northern Mid-Atlantic Ridge
A homogeneous earthquake catalogue for Turkey
Long-term magnetic anomalies and their possible relationship to the latest greater Chilean earthquakes in the context of the seismo-electromagnetic theory
Reliability-based strength modification factor for seismic design spectra considering structural degradation
Fault network reconstruction using agglomerative clustering: applications to southern Californian seismicity
Style of faulting of expected earthquakes in Italy as an input for seismic hazard modeling
The utility of earth science information in post-earthquake land-use decision-making: the 2010–2011 Canterbury earthquake sequence in Aotearoa New Zealand
Spatiotemporal changes of seismicity rate during earthquakes
Deep learning of the aftershock hysteresis effect based on the elastic dislocation theory
Antonio Posadas, Denisse Pasten, Eugenio E. Vogel, and Gonzalo Saravia
Nat. Hazards Earth Syst. Sci., 23, 1911–1920, https://doi.org/10.5194/nhess-23-1911-2023, https://doi.org/10.5194/nhess-23-1911-2023, 2023
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In this paper we understand an earthquake from a thermodynamics point of view as an irreversible transition; then it must suppose an increase in entropy. We use > 100 000 earthquakes in northern Chile to test the theory that Shannon entropy, H, is an indicator of the equilibrium state. Using variation in H, we were able to detect major earthquakes and their foreshocks and aftershocks, including the 2007 Mw 7.8 Tocopilla earthquake and 2014 Mw 8.1 Iquique earthquake.
Dirsa Feliciano, Orlando Arroyo, Tamara Cabrera, Diana Contreras, Jairo Andrés Valcárcel Torres, and Juan Camilo Gómez Zapata
Nat. Hazards Earth Syst. Sci., 23, 1863–1890, https://doi.org/10.5194/nhess-23-1863-2023, https://doi.org/10.5194/nhess-23-1863-2023, 2023
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This article presents the number of damaged buildings and estimates the economic losses from a set of earthquakes in Sabana Centro, a region of 11 towns in Colombia.
Andrea Antonucci, Andrea Rovida, Vera D'Amico, and Dario Albarello
Nat. Hazards Earth Syst. Sci., 23, 1805–1816, https://doi.org/10.5194/nhess-23-1805-2023, https://doi.org/10.5194/nhess-23-1805-2023, 2023
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The earthquake effects undocumented at 228 Italian localities were calculated through a probabilistic approach starting from the values obtained through the use of an intensity prediction equation, taking into account the intensity data documented at close localities for a given earthquake. The results showed some geographical dependencies and correlations with the intensity levels investigated.
Yi-Ying Wen, Chien-Chih Chen, Strong Wen, and Wei-Tsen Lu
Nat. Hazards Earth Syst. Sci., 23, 1835–1846, https://doi.org/10.5194/nhess-23-1835-2023, https://doi.org/10.5194/nhess-23-1835-2023, 2023
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Knowing the spatiotemporal seismicity patterns prior to impending large earthquakes might help earthquake hazard assessment. Several recent moderate earthquakes occurred in the various regions of Taiwan, which help to further investigate the spatiotemporal seismic pattern related to the regional tectonic stress. We should pay attention when a seismicity decrease of 2.5 < M < 4.5 events around the southern Central Range or an accelerating seismicity of 3 < M < 5 events appears in central Taiwan.
Luca Schilirò, Mauro Rossi, Federica Polpetta, Federica Fiorucci, Carolina Fortunato, and Paola Reichenbach
Nat. Hazards Earth Syst. Sci., 23, 1789–1804, https://doi.org/10.5194/nhess-23-1789-2023, https://doi.org/10.5194/nhess-23-1789-2023, 2023
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We present a database of the main scientific articles published on earthquake-triggered landslides in the last 4 decades. To enhance data viewing, the articles were catalogued into a web-based GIS, which was specifically designed to show different types of information, such as bibliometric information, the relevant topic and sub-topic category (or categories), and earthquake(s) addressed. Such information can be useful to obtain a general overview of the topic, especially for a broad readership.
Simone Barani, Gabriele Ferretti, and Davide Scafidi
Nat. Hazards Earth Syst. Sci., 23, 1685–1698, https://doi.org/10.5194/nhess-23-1685-2023, https://doi.org/10.5194/nhess-23-1685-2023, 2023
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In the present study, we analyze ground-motion hazard maps and hazard disaggregation in order to define areas in Italy where liquefaction triggering due to seismic activity can not be excluded. The final result is a screening map for all of Italy that classifies sites in terms of liquefaction triggering potential according to their seismic hazard level. The map and the associated data are freely accessible at the following web address: www.distav.unige.it/rsni/milq.php.
Midhat Fayaz, Shakil A. Romshoo, Irfan Rashid, and Rakesh Chandra
Nat. Hazards Earth Syst. Sci., 23, 1593–1611, https://doi.org/10.5194/nhess-23-1593-2023, https://doi.org/10.5194/nhess-23-1593-2023, 2023
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Earthquakes cause immense loss of lives and damage to properties, particularly in major urban centres. The city of Srinagar, which houses around 1.5 million people, is susceptible to high seismic hazards due to its peculiar geological setting, urban setting, demographic profile, and tectonic setting. Keeping in view all of these factors, the present study investigates the earthquake vulnerability of buildings in Srinagar, an urban city in the northwestern Himalayas, India.
Mathilde B. Sørensen, Torbjørn Haga, and Atle Nesje
Nat. Hazards Earth Syst. Sci., 23, 1577–1592, https://doi.org/10.5194/nhess-23-1577-2023, https://doi.org/10.5194/nhess-23-1577-2023, 2023
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Most Norwegian landslides are triggered by rain or snowmelt, and earthquakes have not been considered a relevant trigger mechanism even though some cases have been reported. Here we systematically search historical documents and databases and find 22 landslides induced by eight large Norwegian earthquakes. The Norwegian earthquakes induce landslides at distances and over areas that are much larger than those found for global datasets.
Chiara Varone, Gianluca Carbone, Anna Baris, Maria Chiara Caciolli, Stefania Fabozzi, Carolina Fortunato, Iolanda Gaudiosi, Silvia Giallini, Marco Mancini, Luca Paolella, Maurizio Simionato, Pietro Sirianni, Rose Line Spacagna, Francesco Stigliano, Daniel Tentori, Luca Martelli, Giuseppe Modoni, and Massimiliano Moscatelli
Nat. Hazards Earth Syst. Sci., 23, 1371–1382, https://doi.org/10.5194/nhess-23-1371-2023, https://doi.org/10.5194/nhess-23-1371-2023, 2023
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In 2012, Italy was struck by a seismic crisis characterized by two main shocks and relevant liquefaction events. Terre del Reno is one of the municipalities that experienced the most extensive liquefaction effects; thus it was chosen as case study for a project devoted to defining a new methodology to assess the liquefaction susceptibility. In this framework, about 1800 geotechnical, geophysical, and hydrogeological investigations were collected and stored in the publicly available PERL dataset.
Samuel Roeslin, Quincy Ma, Pavan Chigullapally, Joerg Wicker, and Liam Wotherspoon
Nat. Hazards Earth Syst. Sci., 23, 1207–1226, https://doi.org/10.5194/nhess-23-1207-2023, https://doi.org/10.5194/nhess-23-1207-2023, 2023
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This paper presents a new framework for the rapid seismic loss prediction for residential buildings in Christchurch, New Zealand. The initial model was trained on insurance claims from the Canterbury earthquake sequence. Data science techniques, geospatial tools, and machine learning were used to develop the prediction model, which also delivered useful insights. The model can rapidly be updated with data from new earthquakes. It can then be applied to predict building loss in Christchurch.
Sasan Motaghed, Mozhgan Khazaee, Nasrollah Eftekhari, and Mohammad Mohammadi
Nat. Hazards Earth Syst. Sci., 23, 1117–1124, https://doi.org/10.5194/nhess-23-1117-2023, https://doi.org/10.5194/nhess-23-1117-2023, 2023
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We modify the probabilistic seismic hazard analysis (PSHA) formulation by replacing the Gutenberg–Richter power law with the SCP (Sotolongo-Costa and Posadas) non-extensive model for earthquake size distribution and call it NEPSHA. The proposed method (NEPSHA) is implemented in the Tehran region, and the results are compared with the classic PSHA method. The hazard curves show that NEPSHA gives a higher hazard, especially in the range of practical return periods.
Paola Sbarra, Pierfrancesco Burrato, Valerio De Rubeis, Patrizia Tosi, Gianluca Valensise, Roberto Vallone, and Paola Vannoli
Nat. Hazards Earth Syst. Sci., 23, 1007–1028, https://doi.org/10.5194/nhess-23-1007-2023, https://doi.org/10.5194/nhess-23-1007-2023, 2023
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Earthquakes are fundamental for understanding how the earth works and for assessing seismic risk. We can easily measure the magnitude and depth of today's earthquakes, but can we also do it for pre-instrumental ones? We did it by analyzing the decay of earthquake effects (on buildings, people, and objects) with epicentral distance. Our results may help derive data that would be impossible to obtain otherwise, for any country where the earthquake history extends for centuries, such as Italy.
Haekal A. Haridhi, Bor Shouh Huang, Kuo Liang Wen, Arif Mirza, Syamsul Rizal, Syahrul Purnawan, Ilham Fajri, Frauke Klingelhoefer, Char Shine Liu, Chao Shing Lee, Crispen R. Wilson, Tso-Ren Wu, Ichsan Setiawan, and Van Bang Phung
Nat. Hazards Earth Syst. Sci., 23, 507–523, https://doi.org/10.5194/nhess-23-507-2023, https://doi.org/10.5194/nhess-23-507-2023, 2023
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Near the northern end of Sumatra, the horizontal movement Sumatran fault zone extended to its northern offshore. The movement of offshore fault segments trigger submarine landslides and induce tsunamis. Scenarios of a significant tsunami caused by the combined effect of an earthquake and its triggered submarine landslide at the coast were proposed in this study. Based on our finding, the landslide tsunami hazard assessment and early warning systems in this region should be urgently considered.
Lixin Wu, Yuan Qi, Wenfei Mao, Jingchen Lu, Yifan Ding, Boqi Peng, and Busheng Xie
Nat. Hazards Earth Syst. Sci., 23, 231–249, https://doi.org/10.5194/nhess-23-231-2023, https://doi.org/10.5194/nhess-23-231-2023, 2023
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Multiple seismic anomalies were reported to be related to the 2015 Nepal earthquake. By sufficiently investigating both the space–time features and the physical models of the seismic anomalies, the coupling mechanisms of these anomalies in 3D space were revealed and an integrated framework to strictly root the sources of various anomalies was proposed. This study provides a practical solution for scrutinizing reliable seismic anomalies from diversified earthquake observations.
David Montiel-López, Sergio Molina, Juan José Galiana-Merino, and Igor Gómez
Nat. Hazards Earth Syst. Sci., 23, 91–106, https://doi.org/10.5194/nhess-23-91-2023, https://doi.org/10.5194/nhess-23-91-2023, 2023
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One of the most effective ways to describe the seismicity of a region is to map the b-value parameter of the Gutenberg-Richter law. This research proposes the study of the spatial cell-event distance distribution to define the smoothing kernel that controls the influence of the data. The results of this methodology depict tectonic stress changes before and after intense earthquakes happen, so it could enable operational earthquake forecasting (OEF) and tectonic source profiling.
Lukas Bodenmann, Jack W. Baker, and Božidar Stojadinović
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-267, https://doi.org/10.5194/nhess-2022-267, 2023
Revised manuscript accepted for NHESS
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Understanding spatial patterns in earthquake-induced ground-motions is key for assessing the seismic risk of distributed infrastructure systems. To study such patterns, we propose a novel model that accounts for spatial proximity, as well as site and path effects, and estimate its parameters from past earthquake data by explicitly quantifying the inherent uncertainties.
Pierre Henry, M. Sinan Özeren, Nurettin Yakupoğlu, Ziyadin Çakir, Emmanuel de Saint-Léger, Olivier Desprez de Gésincourt, Anders Tengberg, Cristele Chevalier, Christos Papoutsellis, Nazmi Postacıoğlu, Uğur Dogan, Hayrullah Karabulut, Gülsen Uçarkuş, and M. Namık Çağatay
Nat. Hazards Earth Syst. Sci., 22, 3939–3956, https://doi.org/10.5194/nhess-22-3939-2022, https://doi.org/10.5194/nhess-22-3939-2022, 2022
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Seafloor instruments at the bottom of the Sea of Marmara recorded disturbances caused by earthquakes, addressing the minimum magnitude that may be recorded in the sediment. A magnitude 4.7 earthquake caused turbidity but little current. A magnitude 5.8 earthquake caused a mudflow and strong currents that spread sediment on the seafloor over several kilometers. However, most known earthquake deposits in the Sea of Marmara spread over larger zones and should correspond to larger earthquakes.
Nicola Alessandro Pino
Nat. Hazards Earth Syst. Sci., 22, 3787–3792, https://doi.org/10.5194/nhess-22-3787-2022, https://doi.org/10.5194/nhess-22-3787-2022, 2022
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The 1908 Messina Straits earthquake is one of the most severe seismic catastrophes in human history and is periodically back in the public discussion because of a project of building a bridge across the Straits. Some models proposed for the fault assume precursory subsidence preceding the quake, resulting in a structure significantly different from the previously debated ones and important hazard implications. The analysis of the historical sea level data allows the rejection of this hypothesis.
Jack N. Williams, Luke N. J. Wedmore, Åke Fagereng, Maximilian J. Werner, Hassan Mdala, Donna J. Shillington, Christopher A. Scholz, Folarin Kolawole, Lachlan J. M. Wright, Juliet Biggs, Zuze Dulanya, Felix Mphepo, and Patrick Chindandali
Nat. Hazards Earth Syst. Sci., 22, 3607–3639, https://doi.org/10.5194/nhess-22-3607-2022, https://doi.org/10.5194/nhess-22-3607-2022, 2022
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We use geologic and GPS data to constrain the magnitude and frequency of earthquakes that occur along active faults in Malawi. These faults slip in earthquakes as the tectonic plates on either side of the East African Rift in Malawi diverge. Low divergence rates (0.5–1.5 mm yr) and long faults (5–200 km) imply that earthquakes along these faults are rare (once every 1000–10 000 years) but could have high magnitudes (M 7–8). These data can be used to assess seismic risk in Malawi.
Mohamadreza Hosseini and Habib Rahimi
Nat. Hazards Earth Syst. Sci., 22, 3571–3583, https://doi.org/10.5194/nhess-22-3571-2022, https://doi.org/10.5194/nhess-22-3571-2022, 2022
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Earthquakes, not only because of earth-shaking but also because of surface ruptures, are a serious threat to many human activities. Reducing earthquake losses and damage requires predicting the amplitude and location of ground movements and possible surface displacements in the future. Using the probabilistic approach and earthquake method, the surface displacement of the north Tabriz fault has been investigated, and the possible displacement in different scenarios has been estimated.
Maria Francesca Ferrario
Nat. Hazards Earth Syst. Sci., 22, 3527–3542, https://doi.org/10.5194/nhess-22-3527-2022, https://doi.org/10.5194/nhess-22-3527-2022, 2022
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I mapped over 5000 landslides triggered by a moment magnitude 6.0 earthquake that occurred in 2015 in the Sabah region (Malaysia). I analyzed their number, dimension and spatial distribution by dividing the territory into 1 km2 cells. I applied the Environmental Seismic Intensity (ESI-07) scale, which allows the categorization of earthquake damage due to environmental effects. The presented approach promotes the collaboration among the experts in landslide mapping and in ESI-07 assignment.
Kirsty Bayliss, Mark Naylor, Farnaz Kamranzad, and Ian Main
Nat. Hazards Earth Syst. Sci., 22, 3231–3246, https://doi.org/10.5194/nhess-22-3231-2022, https://doi.org/10.5194/nhess-22-3231-2022, 2022
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We develop probabilistic earthquake forecasts that include different spatial information (e.g. fault locations, strain rate) using a point process method. The performance of these models is tested over three different periods and compared with existing forecasts. We find that our models perform well, with those using simulated catalogues that make use of uncertainty in model parameters performing better, demonstrating potential to improve earthquake forecasting using Bayesian approaches.
Francesco Visini, Carlo Meletti, Andrea Rovida, Vera D'Amico, Bruno Pace, and Silvia Pondrelli
Nat. Hazards Earth Syst. Sci., 22, 2807–2827, https://doi.org/10.5194/nhess-22-2807-2022, https://doi.org/10.5194/nhess-22-2807-2022, 2022
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As new data are collected, seismic hazard models can be updated and improved. In the framework of a project aimed to update the Italian seismic hazard model, we proposed a model based on the definition and parametrization of area sources. Using geological data, seismicity and other geophysical constraints, we delineated three-dimensional boundaries and activity rates of a seismotectonic zoning and explored the epistemic uncertainty by means of a logic-tree approach.
Mariana Belferman, Amotz Agnon, Regina Katsman, and Zvi Ben-Avraham
Nat. Hazards Earth Syst. Sci., 22, 2553–2565, https://doi.org/10.5194/nhess-22-2553-2022, https://doi.org/10.5194/nhess-22-2553-2022, 2022
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Internal fluid pressure in pores leads to breaking. With this mechanical principle and a correlation between historical water level changes and seismicity, we explore possible variants for water level reconstruction in the Dead Sea basin. Using the best-correlated variant, an additional indication is established regarding the location of historical earthquakes. This leads us to propose a certain forecast for the next earthquake in view of the fast and persistent dropping level of the Dead Sea.
Xuezhong Chen, Yane Li, and Lijuan Chen
Nat. Hazards Earth Syst. Sci., 22, 2543–2551, https://doi.org/10.5194/nhess-22-2543-2022, https://doi.org/10.5194/nhess-22-2543-2022, 2022
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When the tectonic stress in the crust increases, the b value will decrease, meaning the effects of tidal stresses are enhanced gradually. Increase in the tidal Coulomb failure stress might promote the occurrence of earthquakes, whereas its decrease could have an opposite effect. This observation may provide an insight into the processes leading to the Wenchuan earthquake and its precursors.
Fabrizio Marra, Alberto Frepoli, Dario Gioia, Marcello Schiattarella, Andrea Tertulliani, Monica Bini, Gaetano De Luca, and Marco Luppichini
Nat. Hazards Earth Syst. Sci., 22, 2445–2457, https://doi.org/10.5194/nhess-22-2445-2022, https://doi.org/10.5194/nhess-22-2445-2022, 2022
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Through the analysis of the morphostructural setting in which the seismicity of Rome is framed, we explain why the city should not expect to suffer damage from a big earthquake.
Chengjun Feng, Guangliang Gao, Shihuai Zhang, Dongsheng Sun, Siyu Zhu, Chengxuan Tan, and Xiaodong Ma
Nat. Hazards Earth Syst. Sci., 22, 2257–2287, https://doi.org/10.5194/nhess-22-2257-2022, https://doi.org/10.5194/nhess-22-2257-2022, 2022
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We show how FSP (Fault Slip Potential) software can be used in quantitative screening to estimate the fault slip potential in a region with some uncertainties in the ambient stress field and to assess the reactivation potential on these faults of presumably higher criticality in response to fluid injection. The case study of the Matouying enhanced geothermal system (EGS) field has important implications for deep geothermal exploitation in China, especially for the Gonghe EGS in Qinghai Province.
Patrick Oswald, Michael Strasser, Jens Skapski, and Jasper Moernaut
Nat. Hazards Earth Syst. Sci., 22, 2057–2079, https://doi.org/10.5194/nhess-22-2057-2022, https://doi.org/10.5194/nhess-22-2057-2022, 2022
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This study provides the first regional earthquake catalogue of the eastern Alps spanning 16 000 years by using three lake paleoseismic records. Recurrence statistics reveal that earthquakes recur every 1000–2000 years in an aperiodic pattern. The magnitudes of paleo-earthquakes exceed the historically documented values. This study estimates magnitude and source areas for severe paleo-earthquakes, and their shaking effects are explored in the broader study area.
Haoyu Wen, Hong-Jia Chen, Chien-Chih Chen, Massimo Pica Ciamarra, and Siew Ann Cheong
Nat. Hazards Earth Syst. Sci., 22, 1931–1954, https://doi.org/10.5194/nhess-22-1931-2022, https://doi.org/10.5194/nhess-22-1931-2022, 2022
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Recently, there has been growing interest from earth scientists to use the electric field deep underground to forecast earthquakes. We go one step further by using the electric fields, which can be directly measured, to separate/classify time periods with two labels only according to the statistical properties of the electric fields. By checking against historical earthquake records, we found time periods covered by one of the two labels to have significantly more frequent earthquakes.
Karma Tempa, Komal Raj Aryal, Nimesh Chettri, Giovanni Forte, and Dipendra Gautam
Nat. Hazards Earth Syst. Sci., 22, 1893–1909, https://doi.org/10.5194/nhess-22-1893-2022, https://doi.org/10.5194/nhess-22-1893-2022, 2022
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This paper performs site response analysis and studies soil amplification for Bhutan Himalaya. A sensitivity study is performed to assess the effect of variation in strong ground motion.
Tayeb Smail, Mohamed Abed, Ahmed Mebarki, and Milan Lazecky
Nat. Hazards Earth Syst. Sci., 22, 1609–1625, https://doi.org/10.5194/nhess-22-1609-2022, https://doi.org/10.5194/nhess-22-1609-2022, 2022
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The Sentinel-1 SAR datasets and Sentinel-2 data are used in this study to investigate the impact of natural hazards (earthquakes and landslides) on struck areas. In InSAR processing, the use of DInSAR, CCD methods, and the LiCSBAS tool permit generation of time-series analysis of ground changes. Three land failures were detected in the study area. CCD is suitable to map landslides that may remain undetected using DInSAR. In Grarem, the failure rim is clear in coherence and phase maps.
Jonatan Glehman and Michael Tsesarsky
Nat. Hazards Earth Syst. Sci., 22, 1451–1467, https://doi.org/10.5194/nhess-22-1451-2022, https://doi.org/10.5194/nhess-22-1451-2022, 2022
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Due to an insufficient number of recorded moderate–strong earthquakes in Israel, estimating the ground motions and the subsequent seismic hazard mitigation becomes a challenge. To fill this gap, we performed a series of 3-D numerical simulations of moderate and moderate–strong earthquakes. We examined the ground motions and their variability through a self-developed statistical model. However, the model cannot fully capture the ground motion variability due to the local seismotectonic setting.
Federico Mori, Amerigo Mendicelli, Gaetano Falcone, Gianluca Acunzo, Rose Line Spacagna, Giuseppe Naso, and Massimiliano Moscatelli
Nat. Hazards Earth Syst. Sci., 22, 947–966, https://doi.org/10.5194/nhess-22-947-2022, https://doi.org/10.5194/nhess-22-947-2022, 2022
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This work addresses the problem of the ground motion estimation over large areas as an important tool for seismic-risk reduction policies. In detail, the near-real-time estimation of ground motion is a key issue for emergency system management. Starting from this consideration, the present work proposes the application of a machine learning approach to produce ground motion maps, using nine input proxies. Such proxies consider seismological, geophysical, and morphological parameters.
Margarida Ramalho, Luis Matias, Marta Neres, Michele M. C. Carafa, Alexandra Carvalho, and Paula Teves-Costa
Nat. Hazards Earth Syst. Sci., 22, 117–138, https://doi.org/10.5194/nhess-22-117-2022, https://doi.org/10.5194/nhess-22-117-2022, 2022
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Probabilistic seismic hazard assessment (PSHA) is the most common tool used to decide on the acceptable seismic risk by society and mitigation measures. In slowly deforming regions, such Iberia, the earthquake generation models (EGMs) for PSHA suffer from great uncertainty. In this work we propose two sanity tests to be applied to EGMs, comparing the EGM moment release with constrains derived from GNSS observations or neotectonic modelling. Similar tests should be part of other region studies.
Janneke van Ginkel, Elmer Ruigrok, Jan Stafleu, and Rien Herber
Nat. Hazards Earth Syst. Sci., 22, 41–63, https://doi.org/10.5194/nhess-22-41-2022, https://doi.org/10.5194/nhess-22-41-2022, 2022
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A soft, shallow subsurface composition has the tendency to amplify earthquake waves, resulting in increased ground shaking. Therefore, this paper presents a workflow in order to obtain a map classifying the response of the subsurface based on local geology, earthquake signals, and background noise recordings for the Netherlands. The resulting map can be used as a first assessment in regions with earthquake hazard potential by mining or geothermal energy activities, for example.
Enrico Baglione, Stefano Lorito, Alessio Piatanesi, Fabrizio Romano, Roberto Basili, Beatriz Brizuela, Roberto Tonini, Manuela Volpe, Hafize Basak Bayraktar, and Alessandro Amato
Nat. Hazards Earth Syst. Sci., 21, 3713–3730, https://doi.org/10.5194/nhess-21-3713-2021, https://doi.org/10.5194/nhess-21-3713-2021, 2021
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We investigated the seismic fault structure and the rupture characteristics of the MW 6.6, 2 May 2020, Cretan Passage earthquake through tsunami data inverse modelling. Our results suggest a shallow crustal event with a reverse mechanism within the accretionary wedge rather than on the Hellenic Arc subduction interface. The study identifies two possible ruptures: a steeply sloping reverse splay fault and a back-thrust rupture dipping south, with a more prominent dip angle.
Navid Hooshangi, Ali Asghar Alesheikh, Mahdi Panahi, and Saro Lee
Nat. Hazards Earth Syst. Sci., 21, 3449–3463, https://doi.org/10.5194/nhess-21-3449-2021, https://doi.org/10.5194/nhess-21-3449-2021, 2021
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Task allocation under uncertain conditions is a key problem for agents attempting to achieve harmony in disaster environments. This paper presents an agent-based simulation to investigate task allocation considering appropriate spatial strategies to manage uncertainty in urban search and rescue (USAR) operations.
Thomas Chartier, Oona Scotti, Hélène Lyon-Caen, Keith Richard-Dinger, James H. Dieterich, and Bruce E. Shaw
Nat. Hazards Earth Syst. Sci., 21, 2733–2751, https://doi.org/10.5194/nhess-21-2733-2021, https://doi.org/10.5194/nhess-21-2733-2021, 2021
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In order to evaluate the seismic risk, we first model the annual rate of occurrence of earthquakes on the faults near Istanbul. By using a novel modelling approach, we consider the fault system as a whole rather than each fault individually. We explore the hypotheses that are discussed in the scientific community concerning this fault system and compare the modelled results with local recorded data and a physics-based model, gaining new insights in particular on the largest possible earthquake.
Francisco J. Chávez-García, Hugo Monsalve-Jaramillo, and Joaquín Vila-Ortega
Nat. Hazards Earth Syst. Sci., 21, 2345–2354, https://doi.org/10.5194/nhess-21-2345-2021, https://doi.org/10.5194/nhess-21-2345-2021, 2021
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We analyze earthquake damage observed in Armenia, Colombia, during the 1999 event. We investigate the reasons behind the damage and the possibility of predicting it using vulnerability studies. We show that vulnerability was a major factor and that observed damage was predicted by a vulnerability study made in 1993, which sadly had no societal impact. The comparison between two vulnerability studies, in 1993 and 2004, suggests that Armenia may still be highly vulnerable to future earthquakes.
Andrea Antonucci, Andrea Rovida, Vera D'Amico, and Dario Albarello
Nat. Hazards Earth Syst. Sci., 21, 2299–2311, https://doi.org/10.5194/nhess-21-2299-2021, https://doi.org/10.5194/nhess-21-2299-2021, 2021
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We present a probabilistic approach for integrating incomplete intensity distributions by means of the Bayesian combination of estimates provided by intensity prediction equations (IPEs) and data documented at nearby localities, accounting for the relevant uncertainties. The performance of the proposed methodology is tested at 28 Italian localities with long and rich seismic histories and for the strong 1980 and 2009 earthquakes in Italy. An application of this approach is also illustrated.
Changsheng Jiang, Libo Han, Feng Long, Guijuan Lai, Fengling Yin, Jinmeng Bi, and Zhengya Si
Nat. Hazards Earth Syst. Sci., 21, 2233–2244, https://doi.org/10.5194/nhess-21-2233-2021, https://doi.org/10.5194/nhess-21-2233-2021, 2021
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The b value is a controversial parameter that has the potential to identify the location of an upcoming strong earthquake. We conducted a case study using a newly developed algorithm that can overcome the subjectivity of calculation. The results confirmed the scientific significance of the b value for seismic hazard analysis and revealed that fluid intrusion may have been the cause of the overactive aftershocks of the studied earthquake.
Kristján Jónasson, Bjarni Bessason, Ásdís Helgadóttir, Páll Einarsson, Gunnar B. Guðmundsson, Bryndís Brandsdóttir, Kristín S. Vogfjörd, and Kristín Jónsdóttir
Nat. Hazards Earth Syst. Sci., 21, 2197–2214, https://doi.org/10.5194/nhess-21-2197-2021, https://doi.org/10.5194/nhess-21-2197-2021, 2021
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Local information on epicentres and Mw magnitudes from international catalogues have been combined to compile a catalogue of earthquakes in and near Iceland in the years 1900–2019. The magnitudes are either moment-tensor modelled or proxy values obtained with regression on Ms or exceptionally on mb. The catalogue also covers the northern Mid-Atlantic Ridge with less accurate locations but similarly harmonised magnitudes.
Onur Tan
Nat. Hazards Earth Syst. Sci., 21, 2059–2073, https://doi.org/10.5194/nhess-21-2059-2021, https://doi.org/10.5194/nhess-21-2059-2021, 2021
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Turkey is one of the most seismically active regions. In this study, an extended and homogenized earthquake catalogue, which is essential for seismic hazard studies, is presented in an easily manageable format for a wide range of researchers in earth sciences. It is the most comprehensive catalogue for Turkey and contains approximately ~ 378 000 events between 1900 and 2018.
Enrique Guillermo Cordaro, Patricio Venegas-Aravena, and David Laroze
Nat. Hazards Earth Syst. Sci., 21, 1785–1806, https://doi.org/10.5194/nhess-21-1785-2021, https://doi.org/10.5194/nhess-21-1785-2021, 2021
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We developed a methodology that generates free externally disturbed magnetic variations in ground magnetometers close to the Chilean convergent margin. Spectral analysis (~ mHz) and magnetic anomalies increased prior to large Chilean earthquakes (Maule 2010, Mw 8.8; Iquique 2014, Mw 8.2; Illapel 2015, Mw 8.3). These findings relate to microcracks within the lithosphere due to stress state changes. This physical evidence should be thought of as a last stage of the earthquake preparation process.
Ali Rodríguez-Castellanos, Sonia E. Ruiz, Edén Bojórquez, Miguel A. Orellana, and Alfredo Reyes-Salazar
Nat. Hazards Earth Syst. Sci., 21, 1445–1460, https://doi.org/10.5194/nhess-21-1445-2021, https://doi.org/10.5194/nhess-21-1445-2021, 2021
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Seismic design guidelines for building structures present simplified approaches to include relevant structural behavior that affects the structural response through design spectra modification factors. The objective of this study is to propose simplified mathematical expressions to modify the design spectra to consider the stiffness and strength-degrading behavior of structures. Additionally, these expressions are proposed to be included in the next version of the Mexico City Building Code.
Yavor Kamer, Guy Ouillon, and Didier Sornette
Nat. Hazards Earth Syst. Sci., 20, 3611–3625, https://doi.org/10.5194/nhess-20-3611-2020, https://doi.org/10.5194/nhess-20-3611-2020, 2020
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Earthquakes cluster in space highlighting fault structures in the crust. We introduce a method to identify such patterns. The method follows a bottom-up approach that starts from many small clusters and, by repeated mergings, produces a larger, less complex structure. We test the resulting fault network model by investigating its ability to forecast the location of earthquakes that were not used in the study. We envision that our method can contribute to future studies relying on fault patterns.
Silvia Pondrelli, Francesco Visini, Andrea Rovida, Vera D'Amico, Bruno Pace, and Carlo Meletti
Nat. Hazards Earth Syst. Sci., 20, 3577–3592, https://doi.org/10.5194/nhess-20-3577-2020, https://doi.org/10.5194/nhess-20-3577-2020, 2020
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We used 100 years of seismicity in Italy to predict the hypothetical tectonic style of future earthquakes, with the purpose of using this information in a new seismic hazard model. To squeeze all possible information out of the available data, we created a chain of criteria to be applied in the input and output selection processes. The result is a list of cases from very clear ones, e.g., extensional tectonics in the central Apennines, to completely random tectonics for future seismic events.
Mark C. Quigley, Wendy Saunders, Chris Massey, Russ Van Dissen, Pilar Villamor, Helen Jack, and Nicola Litchfield
Nat. Hazards Earth Syst. Sci., 20, 3361–3385, https://doi.org/10.5194/nhess-20-3361-2020, https://doi.org/10.5194/nhess-20-3361-2020, 2020
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This paper examines the roles of earth science information (data, knowledge, advice) in land-use decision-making in Christchurch, New Zealand, in response to the 2010–2011 Canterbury earthquake sequence. A detailed timeline of scientific activities and information provisions relative to key decision-making events is provided. We highlight the importance and challenges of the effective provision of science to decision makers in times of crisis.
Chieh-Hung Chen, Yang-Yi Sun, Strong Wen, Peng Han, Li-Ching Lin, Huaizhong Yu, Xuemin Zhang, Yongxin Gao, Chi-Chia Tang, Cheng-Horng Lin, and Jann-Yenq Liu
Nat. Hazards Earth Syst. Sci., 20, 3333–3341, https://doi.org/10.5194/nhess-20-3333-2020, https://doi.org/10.5194/nhess-20-3333-2020, 2020
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Scientists demystify stress changes before mainshocks and utilize the foreshocks as an indicator. We investigate changes in seismicity far from mainshocks by using tens of thousands of M ≥ 2 quakes for 10 years in Taiwan and Japan. The results show that wide areas exhibit increased seismicity occurring more than several times in areas of the fault rupture. The stressed crust triggers resonance at frequencies varying from ~ 5 × 10–4 to ~ 10–3 Hz that is supported by the resonant frequency model.
Jin Chen, Hong Tang, and Wenkai Chen
Nat. Hazards Earth Syst. Sci., 20, 3117–3134, https://doi.org/10.5194/nhess-20-3117-2020, https://doi.org/10.5194/nhess-20-3117-2020, 2020
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The spatial and temporal distribution characteristics of aftershocks around the fault are analyzed according to the stress changes after the main earthquake. The model can be used to predict the multi-timescale anisotropy distribution of aftershocks fairly. The finite fault model of the main earthquake is used in the construction of the prediction model. The model is a deep neural network; the inputs are the stress components of each point; and the output is the probability of an aftershock.
Cited articles
Álvarez-Gómez, J. A., Aniel-Quiroga, Í., González, M., Olabarrieta, M., and Carreño, E.: Scenarios for earthquake-generated tsunamis on a complex tectonic area of diffuse deformation and low velocity: The Alboran Sea, Western Mediterranean, Mar. Geol., 284, 55–73, 2011a. a, b, c, d, e, f, g, h, i, j
Álvarez-Gómez, J. A., Aniel-Quiroga, ĺ., González, M., and Otero, L.: Tsunami hazard at the Western Mediterranean Spanish coast from seismic sources, Nat. Hazards Earth Syst. Sci., 11, 227–240, https://doi.org/10.5194/nhess-11-227-2011, 2011b. a, b, c, d
Álvarez Gómez, J. A., Herrero Barbero, P., and Martínez Díaz, J. J.: Supplementary data for “Seismogenic potential and tsunami threat of the strike-slip Carboneras fault in the western Mediterranean from physics-based earthquake simulations”, Zenodo [data set], https://doi.org/10.5281/zenodo.7994105, 2023. a, b, c, d
Bak, P. and Tang, C.: Earthquakes as a self-organized critical phenomenon,
J. Geophys. Res., 94, 15635–15637, 1989. a
Bak, P., Tang, C., and Wiesenfeld, K.: Self-organized criticality, Phys. Rev. A, 38, 364–374, https://doi.org/10.1103/PhysRevA.38.364, 1988. a
Ballesteros, M., Rivera, J., noz, A. M., noz Martín, A. M., Acosta, J.,
Carbó, A., and Uchupi, E.: Alboran Basin, southern
Spain – Part II: Neogene tectonic implications for the
orogenic float model, Mar. Petrol. Geol., 25, 75–101, 2008. a
Baptista, M. A. and Miranda, J. M.: Revision of the Portuguese catalog of tsunamis, Nat. Hazards Earth Syst. Sci., 9, 25–42, https://doi.org/10.5194/nhess-9-25-2009, 2009. a
Basili, R., Brizuela, B., Herrero, A., Iqbal, S., Lorito, S., Maesano, F. E., Murphy, S., Perfetti, P., Romano, F., Scala, A., Selva, J., Taroni, M., Thio, H. K., Tiberti, M. M., Tonini, R., Volpe, M., Glimsdal, S., Harbitz, C. B., Løvholt, F., Baptista, M. A., Carrilho, F., Matias, L. M., Omira, R., Babeyko, A., Hoechner, A., Gurbuz, M., Pekcan, O., Yalçıner, A., Canals, M., Lastras, G., Agalos, A., Papadopoulos, G., Triantafyllou, I., Benchekroun, S., Agrebi Jaouadi, H., Attafi, K., Ben Abdallah, S., Bouallegue, A., Hamdi, H., and Oueslati, F.: NEAM Tsunami Hazard Model 2018 (NEAMTHM18): online data of the Probabilistic Tsunami Hazard Model for the NEAM Region from the TSUMAPS-NEAM project, Istituto Nazionale di Geofisica e Vulcanologia (INGV), https://doi.org/10.13127/tsunami/neamthm18 2018. a
Basili, R., Brizuela, B., Herrero, A., Iqbal, S., Lorito, S., Maesano, F. E., Murphy, S., Perfetti, P., Romano, F., Scala, A., Selva, J., Taroni, M., Thio, H. K., Tiberti, M. M., Tonini, R., Volpe, M., Glimsdal, S., Harbitz, C. B., Løvholt, F., Baptista, M. A., Carrilho, F., Matias, L. M., Omira, R., Babeyko, A., Hoechner, A., Gurbuz, M., Pekcan, O., Yalçıner, A., Canals, M., Lastras, G., Agalos, A., Papadopoulos, G., Triantafyllou, I., Benchekroun, S., Agrebi Jaouadi, K., Ben Abdallah, S., Bouallegue, A., Hamdi, H., Oueslati, F., Amato, A., Armigliato, A., Behrens, J., Davies, G., Di Bucci, D., Dolce, M., Geist, E., Gonzalez Vida, J. M., González, M., Macías Sánchez, J., Meletti, C., Ozer Sozdinler, C., Pagani, M., Parsons, T., Polet, J., Power, W., Sørensen, M. B., and Zaytsev, A.: The making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18), Front. Earth Sci., 8, https://doi.org/10.3389/feart.2020.616594, 2021. a, b, c
Ben-Zion, Y. and Rice, J. R.: Slip patterns and earthquake populations along different classes of faults in elastic solids, J. Geophys. Res.-Sol. Ea., 100, 12959–12983, https://doi.org/10.1029/94JB03037, 1995. a
Bolshakova, A. V. and Nosov, M. A.: Parameters of Tsunami Source Versus
Earthquake Magnitude, Pure Appl. Geophys., 168, 2023–2031,
https://doi.org/10.1007/s00024-011-0285-3, 2011. a, b, c, d
Borghini, M., Bryden, H., Schroeder, K., Sparnocchia, S., and Vetrano, A.: The Mediterranean is becoming saltier, Ocean Sci., 10, 693–700, https://doi.org/10.5194/os-10-693-2014, 2014. a
Borque, M. J., Sánchez-Alzola, A., Martin-Rojas, I., Alfaro, P., Molina, S., Rosa-Cintas, S., Rodríguez-Caderot, G., de Lacy, C., García-Armenteros, J. A., Avilés, M., Herrera-Olmo, A., García-Tortosa, F. J., Estévez, A., and Gil, A. J.: How Much Nubia-Eurasia Convergence Is Accommodated by the NE End of the Eastern Betic Shear Zone (SE Spain)? Constraints From GPS
Velocities, Tectonics, 38, 1824–1839, https://doi.org/10.1029/2018TC004970, 2019. a
Bourgois, J., Mauffret, A., Ammar, N. A., and Demnati, N. A.: Multichannel seismic data imaging of inversion tectonics of the Alboran Ridge (Western Mediterranean Sea), Geo-Mar. Lett., 12, 117–122, 1992. a
Bousquet, J.-C.: Quaternary strike-slip faults in southeastern Spain,
Tectonophysics, 52, 277–286, https://doi.org/10.1016/0040-1951(79)90232-4, 1979. a
Burbidge, D., Mueller, C., and Power, W.: The effect of uncertainty in earthquake fault parameters on the maximum wave height from a tsunami propagation model, Nat. Hazards Earth Syst. Sci., 15, 2299–2312, https://doi.org/10.5194/nhess-15-2299-2015, 2015. a
Cabañas, L., Rivas-Medina, A., Martínez-Solares, J. M., Gaspar-Escribano, J. M.,Benito, B., Antón, R., and Ruiz-Barajas, S.: Relationships Between Mw and Other Earthquake Size Parameters in the Spanish IGN Seismic Catalog, Pure Appl. Geophys., 172, 2397–2410, https://doi.org/10.1007/s00024-014-1025-2, 2015. a
Chartier, T., Scotti, O., Lyon-Caen, H., Richard-Dinger, K., Dieterich, J. H., and Shaw, B. E.: Modelling earthquake rates and associated uncertainties in the Marmara Region, Turkey, Nat. Hazards Earth Syst. Sci., 21, 2733–2751, https://doi.org/10.5194/nhess-21-2733-2021, 2021. a, b
Chertova, M. V., Spakman, W., Geenen, T., van den Berg, A. P., and van
Hinsbergen, D. J. J.: Underpinning tectonic reconstructions of the western
Mediterranean region with dynamic slab evolution from 3-D numerical
modeling, J. Geophys. Res.-Sol. Ea., 119, 5876–5902,
https://doi.org/10.1002/2014JB011150, 2014. a
Comas, M. C., Dueñas, V. G., and Jurado, M. J.: Neogene tectonic evolution of the Alboran Basin from MCS data, Geo-Mar. Lett., 12, 157–164, 1992. a
Console, R., Carluccio, R., Papadimitriou, E., and Karakostas, V.: Synthetic
earthquake catalogs simulating seismic activity in the Corinth Gulf,
Greece, fault system, J. Geophys. Res.-Sol. Ea., 120,
326–343, https://doi.org/10.1002/2014JB011765, 2015. a
Console, R., Nardi, A., Carluccio, R., Murru, M., Falcone, G., and Parsons, T.: A physics-based earthquake simulator and its application to seismic hazard assessment in Calabria (Southern Italy) region, Acta Geophys., 65, 243–257, https://doi.org/10.1007/s11600-017-0020-2, 2017. a, b
Console, R., Vannoli, P., and Carluccio, R.: The seismicity of the Central Apennines (Italy) studied by means of a physics-based earthquake simulator, Geophys. J. Int., 212, 916–929, https://doi.org/10.1093/gji/ggx451, 2018. a
Console, R. Carluccio, R., Murru, M., Papadimitriou, E., and Karakostas, V.: Physics‐Based Simulation of Spatiotemporal Patterns of Earthquakes in the Corinth Gulf, Greece, Fault System, B. Seismol. Soc. Am., 112, 98–117, https://doi.org/10.1785/0120210038, 2021. a
Cunha, T. A., Matias, L. M., Terrinha, P., Negredo, A. M., Rosas, F., Fernandes, R. M. S., and Pinheiro, L. M.: Neotectonics of the SW Iberia margin, Gulf of Cadiz and Alboran Sea: a reassessment including recent structural, seismic and geodetic data, Geophys. J. Int., 188, 850–872, 2012. a
Davies, G., Griffin, J., Løvholt, F., Glimsdal, S., Harbitz, C., Thio, H. K., Lorito, S., Basili, R., Selva, J., Geist, E., and Baptista, M. A.: A global probabilistic tsunami hazard assessment from earthquake sources, Geol. Soc. Spec. Publ., 456, 219–244, 2018. a
Dieterich, J. H.: Modeling of rock friction: 1. Experimental results and
constitutive equations, J. Geophys. Res.-Sol. Ea., 84,
2161–2168, https://doi.org/10.1029/JB084iB05p02161, 1979. a
Dieterich, J. H.: Earthquake nucleation on faults with rate-and state-dependent strength, Tectonophysics, 211, 115–134, https://doi.org/10.1016/0040-1951(92)90055-B, 1992. a
Dieterich, J. H.: Earthquake simulations with time-dependent nucleation and long-range interactions, Nonlin. Processes Geophys., 2, 109–120, https://doi.org/10.5194/npg-2-109-1995, 1995. a, b, c
Dieterich, J. H. and Richards-Dinger, K. B.: Earthquake Recurrence in Simulated Fault Systems, in: Seismogenesis and Earthquake Forecasting: The Frank Evison Volume II, edited by: Savage, M. K., Rhoades, D. A., Smith, E. G. C., Gerstenberger, M. C., and Vere-Jones, D., Springer, Basel, 233–250, https://doi.org/10.1007/978-3-0346-0500-7_15, 2010. a, b, c
Do Couto, D., Gorini, C., Jolivet, L., Lebret, N., Augier, R., Gumiaux, C., d'Acremont, E., Ammar, A., Jabour, H., and Auxietre, J.-L.: Tectonic and stratigraphic evolution of the Western Alboran Sea Basin in the last 25 Myrs, Tectonophysics, 677–678, 280–311, https://doi.org/10.1016/j.tecto.2016.03.020, 2016. a
Dotsenko, S. F., and Soloviev, S. L.: Mathematical modeling of tsunami excitation process by displacement of the ocean bottom, Tsunami Researches, 4, 8–20, 1990 (in Russian). a
Echeverria, A., Khazaradze, G., Asensio, E., Gárate, J., Dávila, J. M., and Suriñach, E.: Crustal deformation in eastern Betics from CuaTeNeo GPS network, Tectonophysics, 608, 600–612,
https://doi.org/10.1016/j.tecto.2013.08.020, 2013. a
Echeverria, A., Khazaradze, G., Asensio, E., and Masana, E.: Geodetic evidence for continuing tectonic activity of the Carboneras fault (SE Spain), Tectonophysics, 663, 302–309, https://doi.org/10.1016/j.tecto.2015.08.009, 2015. a
Elbanna, A., Abdelmeguid, M., Ma, X., Amlani, F., Bhat, H. S., Synolakis, C., and Rosakis, A. J.: Anatomy of strike-slip fault tsunami genesis, P. Natl. Acad. Sci. USA, 118, e2025632118, https://doi.org/10.1073/pnas.2025632118, 2021. a, b, c
Faccenna, C., Piromallo, C., Crespo-Blanc, A., Jolivet, L., and Rossetti, F.: Lateral slab deformation and the origin of the western Mediterranean arcs,
Tectonics, 23, TC1012, https://doi.org/10.1029/2002TC001488, 2004. a
Faulkner, D. R., Lewis, A. C., and Rutter, E. H.: On the internal structure and mechanics of large strike-slip fault zones: field observations of the
Carboneras fault in southeastern Spain, Tectonophysics, 367, 235–251,
https://doi.org/10.1016/S0040-1951(03)00134-3, 2003. a
Fernández-Ibáñez, F. and Soto, J. I.: Crustal rheology and seismicity
in the Gibraltar Arc (western Mediterranean), Tectonics, 27, TC2007, https://doi.org/10.1029/2007TC002192, 2008. a
Field, E. H.: How Physics-Based Earthquake Simulators Might Help
Improve Earthquake Forecasts, Seismol. Res. Lett., 90,
467–472, https://doi.org/10.1785/0220180299, 2019. a
Field, E. H., Arrowsmith, R. J., Biasi, G. P., Bird, P., Dawson, T. E., Felzer, K. R., Jackson, D. D., Johnson, K. M., Jordan, T. H., Madden, C., Michael, A. J., Milner, K. R., Page, M. T., Parsons, T., Powers, P. M., Shaw, B. E., Thatcher, W. R., Weldon, II, R. J., and Zeng, Y.: Uniform California
Earthquake Rupture Forecast, Version 3 (UCERF3) – The
Time-Independent Model, B. Seismol. Soc. Am., 104, 1122–1180, https://doi.org/10.1785/0120130164, 2014. a, b
Frucht, E., Salamon, A., Gal, E., Ginat, H., Grigorovitch, M., Shem Tov, R., and Ward, S.: A Fresh View of the Tsunami Generated by the Dead Sea Transform, 1995 Mw 7.2 Nuweiba Earthquake, along the Gulf of Elat – Aqaba, Seismol. Res. Lett., 90, 1483–1493,
https://doi.org/10.1785/0220190004, 2019. a, b
Fujii, Y., Satake, K., Sakai, S., Shinohara, M., and Kanazawa, T.: Tsunami
source of the 2011 off the Pacific coast of Tohoku Earthquake, Earth
Planet. Space, 63, 815–820, https://doi.org/10.5047/eps.2011.06.010, 2011. a
García-Mayordomo, J.: Caracterización y análisis de la peligrosidad sísmica en el sureste de España, PhD Thesis, Universidad Complutense de Madrid, 2005. a
García-Mayordomo, J.: Creación de un modelo de zonas sismogénicas para el
cálculo del mapa de peligrosidad sísmica de España, Instituto Geológico y
Minero de España, Madrid, 12 pp., ISBN 978-84-7840-964-8, 2015. a
García-Mayordomo, J., Martín-Banda, R., Insua-Arévalo, J. M., Álvarez-Gómez, J. A., Martínez-Díaz, J. J., and Cabral, J.: Active fault databases: building a bridge between earthquake geologists and seismic hazard practitioners, the case of the QAFI v.3 database, Nat. Hazards Earth Syst. Sci., 17, 1447–1459, https://doi.org/10.5194/nhess-17-1447-2017, 2017. a, b
Geist, E. L.: Local Tsunamis and Earthquake Source Parameters, in: Advances in Geophysics, edited by: Dmowska, R., and Saltzman, B., vol. 39 of Tsunamigenic Earthquakes and Their Consequences, Elsevier, 117–209, https://doi.org/10.1016/S0065-2687(08)60276-9, 1998. a
Geist, E. L.: Complex earthquake rupture and local tsunamis, J. Geophys. Res.-Sol. Ea., 107, ESE 2-1–ESE 2-15, https://doi.org/10.1029/2000JB000139, 2002. a, b
Gibbons, S. J., Lorito, S., de la Asunción, M., Volpe, M., Selva, J., Macías, J., Sánchez-Linares, C., Brizuela, B., Vöge, M., Tonini, R., Lanucara, P., Glimsdal, S., Romano, F., Meyer, J. C., and Løvholt, F.: The Sensitivity of Tsunami Impact to Earthquake Source Parameters
and Manning Friction in High-Resolution Inundation Simulations,
Front. Earth Sci., 9, https://doi.org/10.3389/feart.2021.757618, 2022. a
Gimbutas, Z., Greengard, L., Barall, M., and Tullis, T. E.: On the
Calculation of Displacement, Stress, and Strain Induced by
Triangular Dislocations, B. Seismol. Soc. Am., 102, 2776–2780, https://doi.org/10.1785/0120120127, 2012. a
Goda, K., Yasuda, T., Mori, N., and Mai, P. M.: Variability of tsunami
inundation footprints considering stochastic scenarios based on a single
rupture model: Application to the 2011 Tohoku earthquake, J.
Geophys. Res.-Oceans, 120, 4552–4575, https://doi.org/10.1002/2014JC010626, 2015. a
Gómez de la Peña, L., R. Ranero, C., Gràcia, E., and Booth-Rea, G.: The evolution of the westernmost Mediterranean basins, Earth-Sci. Rev., 214, 103445, https://doi.org/10.1016/j.earscirev.2020.103445, 2021. a
Gómez de la Peña, L., Gràcia, E., Maesano, F. E., Basili, R., Kopp, H., Sánchez-Serra, C., Scala, A., Romano, F., Volpe, M., Piatanesi, A., and Ranero, C. R.: A first appraisal of the seismogenic and tsunamigenic
potential of the largest fault systems in the westernmost Mediterranean,
Mar. Geol., 445, 106749, https://doi.org/10.1016/j.margeo.2022.106749, 2022. a, b, c, d, e, f, g, h, i, j
Gràcia, E., Pallàs, R., Soto, J. I., Comas, M., Moreno, X., Masana, E., Santanach, P., Diez, E., García, M., and Dañobeitia, J.: Active faulting offshore SE Spain (Alboran Sea): Implications for earthquake hazard assessment in the Southern Iberian Margin, Earth Planet. Sc. Lett., 241, 734–749, 2006. a, b
Grevemeyer, I., Gràcia, E., Villaseñor, A., Leuchters, W., and Watts, A. B.:
Seismicity and active tectonics in the Alboran Sea, Western
Mediterranean: Constraints from an offshore-onshore
seismological network and swath bathymetry data, J. Geophys. Res.-Sol. Ea., 120, 8348–8365, https://doi.org/10.1002/2015JB012073, 2015. a
Gusiakov, V. K.: Relationship of Tsunami Intensity to Source Earthquake Magnitude as Retrieved from Historical Data, Pure Appl. Geophys., 168, 2033–2041, https://doi.org/10.1007/s00024-011-0286-2, 2011. a
Gusman, A. R., Tanioka, Y., Sakai, S., and Tsushima, H.: Source model of the
great 2011 Tohoku earthquake estimated from tsunami waveforms and crustal
deformation data, Earth Planet. Sc. Lett., 341–344, 234–242,
https://doi.org/10.1016/j.epsl.2012.06.006, 2012. a
Gusman, A. R., Satake, K., and Harada, T.: Rupture process of the 2016 Wharton Basin strike-slip faulting earthquake estimated from joint inversion of teleseismic and tsunami waveforms, Geophys. Res. Lett.,
44, 4082–4089, https://doi.org/10.1002/2017GL073611, 2017. a, b
Harris, R. A., Barall, M., Aagaard, B., Ma, S., Roten, D., Olsen, K., Duan, B., Liu, D., Luo, B., Bai, K., Ampuero, J.-P., Kaneko, Y., Gabriel, A.-A., Duru, K., Ulrich, T., Wollherr, S., Shi, Z., Dunham, E., Bydlon, S., Zhang, Z., Chen, X., Somala, S. N., Pelties, C., Tago, J., Cruz-Atienza, V. M., Kozdon, J., Daub, E., Aslam, K., Kase, Y., Withers, K., and Dalguer, L.: A Suite of Exercises for Verifying Dynamic Earthquake Rupture Codes, Seismol. Res. Lett., 89, 1146–1162, https://doi.org/10.1785/0220170222,
2018. a
Heidarzadeh, M., Harada, T., Satake, K., Ishibe, T., and Takagawa, T.: Tsunamis from strike-slip earthquakes in the Wharton Basin, northeast Indian Ocean: March 2016 Mw 7.8 event and its relationship with the April 2012 Mw 8.6 event, Geophys. J. Int., 211, 1601–1612,
https://doi.org/10.1093/gji/ggx395, 2017. a, b
Herrero-Barbero, P., Alvarez-Gomez, J. A., Martinez-Diaz, J. J., and Klimowitz, J.: Neogene Basin Inversion and Recent Slip Rate Distribution of the Northern Termination of the Alhama de Murcia Fault (Eastern Betic Shear Zone, SE Spain), Tectonics, 39, e2019TC005750, https://doi.org/10.1029/2019TC005750, 2020. a
Herrero-Barbero, P., Álvarez-Gómez, J. A., Williams, C., Villamor, P., Insua-Arévalo, J. M., Alonso-Henar, J., and Martínez-Díaz, J. J.: Physics-Based Earthquake Simulations in Slow-Moving Faults: A Case Study From the Eastern Betic Shear Zone (SE Iberian Peninsula), J. Geophys. Res.-Sol. Ea., 126,
e2020JB021133, https://doi.org/10.1029/2020JB021133, 2021. a, b, c, d, e, f, g, h
Ho, T.-C., Satake, K., Watada, S., Hsieh, M.-C., Chuang, R. Y., Aoki, Y., Mulia, I. E., Gusman, A. R., and Lu, C.-H.: Tsunami Induced by the Strike-Slip Fault of the 2018 Palu Earthquake (Mw = 7.5), Sulawesi Island, Indonesia, Earth Space Sci., 8, e2020EA001400, https://doi.org/10.1029/2020EA001400, 2021. a, b
Hornbach, M. J., Braudy, N., Briggs, R. W., Cormier, M.-H., Davis, M. B., Diebold, J. B., Dieudonne, N., Douilly, R., Frohlich, C., Gulick, S. P. S., Johnson Iii, H. E., Mann, P., Mchugh, C., Ryan-mishkin, K., Prentice, C. S., Seeber, L., Sorlien, C. C., Steckler, M. S., Symithe, S. J., Taylor, F. W., and Templeton, J.: High tsunami frequency as a result of combined strike-slip
faulting and coastal landslides, Nat. Geosci., 3, 783–788,
https://doi.org/10.1038/ngeo975, 2010. a
Howarth, J. D., Barth, N. C., Fitzsimons, S. J., Richards-Dinger, K., Clark, K. J., Biasi, G. P., Cochran, U. A., Langridge, R. M., Berryman, K. R., and Sutherland, R.: Spatiotemporal clustering of great earthquakes on a transform
fault controlled by geometry, Nat. Geosci., 14, 314–320,
https://doi.org/10.1038/s41561-021-00721-4, 2021. a
IGN-UPM: Actualización de mapas de peligrosidad sísmica de España 2012, vol. 267, https://doi.org/10.7419/162.05.2017, 2013. a, b, c
Jiménez-Munt, I. and Negredo, A. M.: Neotectonic modelling of the western part of the Africa–Eurasia plate boundary: from the Mid-Atlantic ridge to Algeria, Earth Planet. Sc. Lett., 205, 257–271, 2013. a
Kozdon, J. E. and Dunham, E. M.: Rupture to the Trench: Dynamic Rupture Simulations of the 11 March 2011 Tohoku Earthquake, B. Seismol. Soc. Am., 103, 1275–1289, https://doi.org/10.1785/0120120136, 2013. a
Lavallée, D., Liu, P., and Archuleta, R. J.: Stochastic model of heterogeneity in earthquake slip spatial distributions, Geophys. J. Int., 165, 622–640, https://doi.org/10.1111/j.1365-246X.2006.02943.x, 2006. a
Legg, M., Borrero, J., and Synolakis, C.: Tsunami Hazards From
Strike-Slip Earthquakes, AGU Fall Meeting, 8–12 December 2003, San Francisco, USA, American Geophysical Union, OS21D-06, 2003. a
Leonard, M.: Self-Consistent Earthquake Fault-Scaling Relations: Update and Extension to Stable Continental Strike-Slip Faults,
B. Seismol. Soc. Am., 104, 2953–2965, https://doi.org/10.1785/0120140087, 2014. a
Liu, P. L. F., Cho, Y. S., Yoon, S. B., and Seo, S. N.: Numerical Simulations of the 1960 Chilean Tsunami Propagation and Inundation at Hilo, Hawaii, in: Tsunami: Progress in Prediction, Disaster Prevention and Warning, edited by: Tsuchiya, Y. and Shuto, N., Advances in Natural and Technological Hazards Research, Springer Netherlands, Dordrecht, 99–115, https://doi.org/10.1007/978-94-015-8565-1_7, 1995. a, b
Lotto, G. C. and Dunham, E. M.: High-order finite difference modeling of tsunami generation in a compressible ocean from offshore earthquakes, Comput. Geosci., 19, 327–340, https://doi.org/10.1007/s10596-015-9472-0, 2015. a
Løvholt, F., Pedersen, G., Bazin, S., Kühn, D., Bredesen, R. E., and
Harbitz, C.: Stochastic analysis of tsunami runup due to heterogeneous
coseismic slip and dispersion, J. Geophys. Res.-Oceans, 117, C03047,
https://doi.org/10.1029/2011JC007616, 2012. a
Madden, E. H., Bader, M., Behrens, J., van Dinther, Y., Gabriel, A.-A., Rannabauer, L., Ulrich, T., Uphoff, C., Vater, S., and van Zelst, I.: Linked 3-D modelling of megathrust earthquake-tsunami events: from subduction to tsunami run up, Geophys. J. Int., 224, 487–516, https://doi.org/10.1093/gji/ggaa484, 2021. a
Maeda, T., and Furumura, T.: FDM Simulation of Seismic Waves, Ocean Acoustic Waves, and Tsunamis Based on Tsunami-Coupled Equations
of Motion, Pure Appl. Geophys., 170, 109–127,
https://doi.org/10.1007/s00024-011-0430-z, 2013. a
Mai, P. M. and Beroza, G. C.: A spatial random field model to characterize complexity in earthquake slip, J. Geophys. Res.-Sol. Ea., 107, ESE 10-1–ESE 10-21, https://doi.org/10.1029/2001JB000588, 2002. a
Mancilla, F. L., Stich, D., Berrocoso, M., Martín, R., Morales, J., Fernandez-Ros, A., Páez, R., and Pérez-Peña, A.: Delamination in the Betic Range: Deep structure, seismicity, and GPS motion, Geology, 41, 307–310, 2013. a
Martínez-García, P.: Recent tectonic evolution of the Alboran Ridge and Yusuf regions, PhD thesis, Universidad de Granada, ISBN 9788490283325, 2012. a
Martínez-García, P., Comas, M., Soto, J. I., Lonergan, L., and Watts,
A. B.: Strike-slip tectonics and basin inversion in the Western
Mediterranean: the Post-Messinian evolution of the Alboran Sea,
Basin Res., 25, 361–387, https://doi.org/10.1111/bre.12005, 2013. a
Martínez-García, P., Comas, M., Lonergan, L., and Watts, A. B.: From Extension to Shortening: Tectonic Inversion Distributed in Time and Space in the Alboran Sea, Western Mediterranean, Tectonics, 36,
2777–2805, https://doi.org/10.1002/2017TC004489, 2017. a
Martínez Solares, J. M. and Mezcua, J.: Catálogo sísmico de la Península Ibérica: (880 a. C–1900), Ministerio de Fomento, ISBN 84-95.172-37-2, 2002. a
Masana, E., Moreno, X., Gràcia, E., Pallàs, R., Ortuño, M., López, R., Gómez-Novell, O., Ruano, P., Perea, H., Stepancikova, P., and Khazaradze, G.: First evidence of paleoearthquakes along the Carboneras Fault Zone (SE Iberian Peninsula): Los Trances site, Geol. Acta, 16, 461–476, 2018. a, b
McCloskey, J., Antonioli, A., Piatanesi, A., Sieh, K., Steacy, S., Nalbant, S., Cocco, M., Giunchi, C., Huang, J., and Dunlop, P.: Tsunami threat in the Indian Ocean from a future megathrust earthquake west of Sumatra, Earth Planet. Sc. Lett., 265, 61–81, https://doi.org/10.1016/j.epsl.2007.09.034, 2008. a
Meade, B. J.: Algorithms for the calculation of exact displacements, strains, and stresses for triangular dislocation elements in a uniform elastic half space, Comput. Geosci., 33, 1064–1075, https://doi.org/10.1016/j.cageo.2006.12.003, 2007. a
Moreno, X.: Neotectonic and Paleoseismic Onshore-Offshore integrated study of the Carboneras Fault (Eastern Betics, SE Iberia)/Estudio integrado tierra-mar de la Neotectonica y Paleosismología de la Falla de Carboneras (Béticas Orientales, SE Península Ibérica), PhD Thesis, Universitat de Barcelona, http://hdl.handle.net/10261/100991 (last access: 1 June 2023), 2011. a, b, c, d
Moreno, X., Masana, E., Pallàs, R., Gràcia, E., Rodés, Á., and Bordonau, J.: Quaternary tectonic activity of the Carboneras Fault in the La Serrata range (SE Iberia): Geomorphological and chronological constraints, Tectonophysics, 663, 78–94, https://doi.org/10.1016/j.tecto.2015.08.016, 2015. a, b, c, d, e
National Geophysical Data Center (NGDC): Global Historical Tsunami Database, National Geophysical Data Center [data set], https://doi.org/10.7289/V5PN93H7, 2022. a
Neres, M., Carafa, M. M. C.,Fernandes, R. M. S., Matias, L., Duarte, J. C., Barba, S., and Terrinha, P.: Lithospheric deformation in the Africa-Iberia plate boundary: Improved neotectonic modeling testing a basal-driven Alboran plate, J. Geophys. Res.-Sol. Ea., 121, 6566–6596, https://doi.org/10.1002/2016JB013012, 2016. a
Niemeijer, A. R. and Vissers, R. L. M.: Earthquake rupture propagation inferred from the spatial distribution of fault rock frictional properties, Earth Planet. Sc. Lett., 396, 154–164, https://doi.org/10.1016/j.epsl.2014.04.010,
2014. a
Nikkhoo, M. and Walter, T. R.: Triangular dislocation: an analytical,
artefact-free solution, Geophys. J. Int., 201, 1119–1141,
https://doi.org/10.1093/gji/ggv035, 2015. a, b
Noda, H. and Lapusta, N.: Stable creeping fault segments can become destructive as a result of dynamic weakening, Nature, 493, 518–521,
https://doi.org/10.1038/nature11703, 2013. a
Nosov, M. A., Bolshakova, A. V., and Kolesov, S. V.: Displaced Water Volume, Potential Energy of Initial Elevation, and Tsunami Intensity: Analysis of Recent Tsunami Events, Pure Appl. Geophys., 171, 3515–3525, https://doi.org/10.1007/s00024-013-0730-6, 2014. a
Okada, Y.: Internal deformation due to shear and tensile faults in a
half-space, B. Seismol. Soc. Am., 82, 1018–1040, 1992. a
Pollitz, F. F.: ViscoSim Earthquake Simulator, Seismol. Res. Lett., 83, 979–982, https://doi.org/10.1785/0220120050, 2012. a
Power, W., Wang, X., Lane, E., and Gillibrand, P.: A Probabilistic Tsunami Hazard Study of the Auckland Region, Part I: Propagation Modelling and Tsunami Hazard Assessment at the Shoreline, Pure Appl. Geophys., 170, 1621–1634, 2013. a
Rafiei, M., Khodaverdian, A., and Rahimian,M.: A Probabilistic Physics-Based
Seismic Hazard Model for the Alborz Region, Iran, B. Seismol. Soc. Am., 112, 2141–2155, https://doi.org/10.1785/0120210238, 2022. a
Reicherter, K. and Becker-Heidmann, P.: Tsunami deposits in the western Mediterranean: Remains of the 1522 Almería earthquake?, Geol. Soc. Spec. Publ., 316, 217–235, https://doi.org/10.1144/SP316.14, 2009. a
Reicherter, K. and Hübscher, C.: Evidence for a seafloor rupture of the
Carboneras Fault Zone (southern Spain): Relation to the 1522
Almería earthquake?, J. Seismol., 11, 15–26,
https://doi.org/10.1007/s10950-006-9024-0, 2007. a, b
Robinson, R. and Benites, R.: Synthetic seismicity models of multiple interacting faults, J. Geophys. Res.-Sol. Ea., 100, 18229–18238, https://doi.org/10.1029/95JB01569, 1995. a
Robinson, R., Van Dissen, R., and Litchfield, N.: Using synthetic seismicity to evaluate seismic hazard in the Wellington region, New Zealand,
Geophys. J. Int., 187, 510–528, https://doi.org/10.1111/j.1365-246X.2011.05161.x, 2011. a
Rodriguez Escudero, E.: Implicaciones de la estructura interna de una zona de
falla activa en la génesis de terremotos, PhD Thesis, Universidad
Autonoma de Madrid, http://hdl.handle.net/10486/682976 (last access: 1 June 2023), 2017. a
Romagny, A., Jolivet, L., Menant, A., Bessière, E., Maillard, A., Canva, A., Gorini, C., and Augier, R.: Detailed tectonic reconstructions of the Western Mediterranean region for the last 35 Ma, insights on driving mechanisms, B. Soc. Géol. Fr., 191, 37, https://doi.org/10.1051/bsgf/2020040, 2020. a
Rosenbaum, G. and Lister, G. S.: Formation of arcuate orogenic belts in the western Mediterranean region, in: Orogenic curvature: integrating paleomagnetic and structural analyses, edited by: Sussman, A. J. and Weil, A. B., Geological Society of America, 383, 41–56, https://doi.org/10.1130/0-8137-2383-3(2004)383[41:FOAOBI]2.0.CO;2, 2004. a
Ruina, A.: Slip instability and state variable friction laws, J. Geophys. Res.-Sol. Ea., 88, 10359–10370, https://doi.org/10.1029/JB088iB12p10359, 1983. a
Rundle, J. B.: A physical model for earthquakes: 2. Application to southern
California, J. Geophys. Res.-Sol. Ea., 93, 6255–6274,
https://doi.org/10.1029/JB093iB06p06255, 1988. a, b
Rutter, E. H., Faulkner, D. R., and Burgess, R.: Structure and geological history of the Carboneras Fault Zone, SE Spain: Part of a stretching transform fault system, J. Struct. Geol., 45, 68–86,
https://doi.org/10.1016/j.jsg.2012.08.009, 2012. a
Ryan, K. J., Geist, E. L., Barall, M., and Oglesby, D. D.: Dynamic models of an earthquake and tsunami offshore Ventura, California, Geophys. Res. Lett., 42, 6599–6606, https://doi.org/10.1002/2015GL064507, 2015. a
Sachs, M. K., Heien, E. M., Turcotte, D. L., Yikilmaz, M. B., Rundle, J. B.,
and Kellogg, L. H.: Virtual California Earthquake Simulator,
Seismol. Res. Lett., 83, 973–978, https://doi.org/10.1785/0220120052, 2012. a
Satake, K., Fujii, Y., Harada, T., and Namegaya, Y.: Time and Space Distribution of Coseismic Slip of the 2011 Tohoku Earthquake as Inferred from Tsunami Waveform Data, B. Seismol. Soc. Am., 103, 1473–1492, https://doi.org/10.1785/0120120122, 2013. a
Scholz, C. H.: Earthquakes and friction laws, Nature, 391, 37–42,
https://doi.org/10.1038/34097, 1998. a
Schultz, K. W., Yoder, M. R., Wilson, J. M., Heien, E. M., Sachs, M. K., Rundle, J. B., and Turcotte, D. L.: Parametrizing Physics-Based Earthquake Simulations, in: Earthquakes and Multi-hazards Around the Pacific Rim, Vol. I, edited by: Zhang, Y., Goebel, T., Peng, Z.,
Williams, C. A., Yoder, M., and Rundle, J. B., Springer
International Publishing, Cham, 75–84, https://doi.org/10.1007/978-3-319-71565-0_6, 2018. a
Schwartz, D. P. and Coppersmith, J.: Fault behavior and characteristic earthquakes: Examples from the Wasatch and San Andreas fault zones,
J. Geophys. Res., 89, 5681–5698, 1984. a
Serpelloni, E., Vannucci, G., Pondrelli, S., Argnani, A., Casula, G., Anzidei, M., Baldi, P., and Gasperini, P.: Kinematics of the Western Africa-Eurasia plate boundary from focal mechanisms and GPS data, Geophys. J. Int., 169, 1180–1200, https://doi.org/10.1111/j.1365-246X.2007.03367.x, 2007. a
Shaw, B. E., Milner, K. R., Field, E. H., Richards-Dinger, K., Gilchrist, J. J., Dieterich, J. H., and Jordan, T. H.: A physics-based earthquake simulator replicates seismic hazard statistics across California, Science Advances, 4, eaau0688, https://doi.org/10.1126/sciadv.aau0688, 2018. a, b, c, d, e
Shaw, B. E., Fry, B., Nicol, A., Howell, A., and Gerstenberger, M.: An Earthquake Simulator for New Zealand, B. Seismol. Soc. Am., 112,
763–778, https://doi.org/10.1785/0120210087, 2022. a, b, c
Somoza, L., Medialdea, T., Terrinha, P., Ramos, A., and Vázquez, J.-T.: Submarine Active Faults and Morpho-Tectonics Around the Iberian Margins: Seismic and Tsunamis Hazards, Front. Earth Sci., 9, https://doi.org/10.3389/feart.2021.653639, 2021. a, b
Sørensen, M. B., Spada, M., Babeyko, A., Wiemer, S., and Grünthal, G.: Probabilistic tsunami hazard in the Mediterranean Sea. J. Geophys. Res.-Sol. Ea., 117, B01305, https://doi.org/10.1029/2010JB008169, 2012. a
Tanioka, Y. and Satake, K.: Tsunami generation by horizontal displacement of ocean bottom, Geophys. Res. Lett., 23, 861–864, https://doi.org/10.1029/96GL00736, 1996. a, b
Tao, C. and Tsunami Research Group: COMCOT adaptation to gfortran compiler, Institute of Hydrological and Oceanic Science, National Central University, China, GitHub [code], https://github.com/AndybnACT/comcot-gfortran, last access: 5 June 2023. a
Tullis, T. E., Richards-Dinger, K., Barall, M., Dieterich, J. H., Field, E. H., Heien, E. M., Kellogg, L. H., Pollitz, F. F., Rundle, J. B., Sachs, M. K., Turcotte, D. L., Ward, S. N., and Burak Yikilmaz, M.: A Comparison among Observations and Earthquake Simulator Results for the allcal2
California Fault Model, Seismol. Res. Lett., 83, 994–1006,
https://doi.org/10.1785/0220120094, 2012. a
Ulrich, T., Vater, S., Madden, E. H., Behrens, J., van Dinther, Y., van Zelst, I., Fielding, E. J., Liang, C., and Gabriel, A.-A.: Coupled, Physics-Based Modeling Reveals Earthquake Displacements are Critical to the 2018 Palu, Sulawesi Tsunami, Pure Appl. Geophys., 176, 4069–4109, https://doi.org/10.1007/s00024-019-02290-5, 2019. a
Vernant, P., Fadil, A., Mourabit, T., Ouazar, D., Koulali, A., Davila, J. M., Garate, J., McClusky, S., and Reilinger, R.: Geodetic constraints on active tectonics of the Western Mediterranean: Implications for the kinematics and dynamics of the Nubia-Eurasia plate boundary zone, J. Geodynam., 49, 123–129, https://doi.org/10.1016/j.jog.2009.10.007, 2010. a
Wang, X. and Liu, P. L.-F.: An analysis of 2004 Sumatra earthquake fault plane mechanisms and Indian Ocean tsunami, J. Hydraul. Res., 44, 147–154, 2006. a
Ward, S. N.: San Francisco Bay Area Earthquake Simulations: A Step Toward a Standard Physical Earthquake Model, B. Seismol. Soc. Am., 90, 370–386, https://doi.org/10.1785/0119990026, 2000. a
Ward, S. N.: ALLCAL Earthquake Simulator, Seismol. Res. Lett.,
83, 964–972, https://doi.org/10.1785/0220120056, 2012. a
Wendt, J., Oglesby, D. D., and Geist, E. L.: Tsunamis and splay fault dynamics, Geophys. Res. Lett., 36, L15303, https://doi.org/10.1029/2009GL038295, 2009. a
Wessel, P.: An Empirical Method for Optimal Robust Regional-Residual Separation of Geophysical Data, Math. Geol., 30, 391–408, https://doi.org/10.1023/A:1021744224009, 1998. a
Wessel, P., Smith, W. H. F., Scharroo, R., Luis, J., and Wobbe, F.: Generic Mapping Tools: Improved Version Released, Eos, Transactions American Geophysical Union, 94, 409–410, https://doi.org/10.1002/2013EO450001, 2013.
a
Whirley, R. G. and Engelmann, B. E.: DYNA3D: A nonlinear, explicit,
three-dimensional finite element code for solid and structural mechanics,
User manual. Revision 1, Tech. Rep. UCRL-MA-107254-Rev.1, Lawrence
Livermore National Lab, CA, United States, https://doi.org/10.2172/10139227, 1993. a
Wilson, A. and Ma, S.: Wedge Plasticity and Fully Coupled Simulations of Dynamic Rupture and Tsunami in the Cascadia Subduction Zone, J. Geophys. Res.-Sol. Ea., 126, e2020JB021627, https://doi.org/10.1029/2020JB021627, 2021. a
Xu, Z., Sun, L., Rahman, M. N. A., Liang, S., Shi, J., and Li, H.: Insights on the small tsunami from January 28, 2020, Caribbean Sea MW 7.7 earthquake by numerical simulation and spectral analysis, Nat. Hazards, 111, 2703–2719, https://doi.org/10.1007/s11069-021-05154-1, 2022. a
Yamazaki, D., Ikeshima, D., Tawatari, R., Yamaguchi, T., O'Loughlin, F., Neal, J. C., Sampson, C. C., Kanae, S., and Bates, P. D.: A high-accuracy map of global terrain elevations, Geophys. Res. Lett., 44, 5844–5853,
https://doi.org/10.1002/2017GL072874, 2017. a, b
Yamazaki, Y., Lay, T., Cheung, K. F., Yue, H., and Kanamori, H.: Modeling
near-field tsunami observations to improve finite-fault slip models for the
11 March 2011 Tohoku earthquake, Geophys. Res. Lett., 38, L00G15,
https://doi.org/10.1029/2011GL049130, 2011. a
Zamora, N. and Babeyko, A. Y.: Tsunami potential from local seismic sources along the southern Middle America Trench, Nat. Hazards, 80, 901–934, 2016. a
Short summary
The strike-slip Carboneras fault is one of the largest sources in the Alboran Sea, with it being one of the faster faults in the eastern Betics. The dimensions and location of the Carboneras fault imply a high seismic and tsunami threat. In this work, we present tsunami simulations from sources generated with physics-based earthquake simulators. We show that the Carboneras fault has the capacity to generate locally damaging tsunamis with inter-event times between 2000 and 6000 years.
The strike-slip Carboneras fault is one of the largest sources in the Alboran Sea, with it being...
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