Articles | Volume 24, issue 5
https://doi.org/10.5194/nhess-24-1795-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-24-1795-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
23 May 2024
Research article |
| 23 May 2024
| 23 May 2024
Modelling seismic ground motion and its uncertainty in different tectonic contexts: challenges and application to the 2020 European Seismic Hazard Model (ESHM20)
Graeme Weatherill
CORRESPONDING AUTHOR
Seismic Hazard and Risk Dynamics, GFZ German Research Centre for Geosciences, Potsdam, 14467, Germany
Sreeram Reddy Kotha
Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France
Laurentiu Danciu
Swiss Seismological Service (SED), ETH, Zürich, Switzerland
Susana Vilanova
Instituto Superior Tecnico (IST), Lisbon, Portugal
Fabrice Cotton
Seismic Hazard and Risk Dynamics, GFZ German Research Centre for Geosciences, Potsdam, 14467, Germany
Institute of Geosciences, University of Potsdam, Potsdam, Germany
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Karina Loviknes, Fabrice Cotton, and Graeme Weatherill
Nat. Hazards Earth Syst. Sci., 24, 1223–1247, https://doi.org/10.5194/nhess-24-1223-2024, https://doi.org/10.5194/nhess-24-1223-2024, 2024
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Earthquake ground shaking can be strongly affected by local geology and is often amplified by soft sediments. In this study, we introduce a global geomorphological model for sediment thickness as a protentional parameter for predicting this site amplification. The results show that including geology and geomorphology in site-amplification predictions adds important value and that global or regional models for sediment thickness from fields beyond engineering seismology are worth considering.
Irina Dallo, Michèle Marti, Nadja Valenzuela, Helen Crowley, Jamal Dabbeek, Laurentiu Danciu, Simone Zaugg, Fabrice Cotton, Domenico Giardini, Rui Pinho, John F. Schneider, Céline Beauval, António A. Correia, Olga-Joan Ktenidou, Päivi Mäntyniemi, Marco Pagani, Vitor Silva, Graeme Weatherill, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 291–307, https://doi.org/10.5194/nhess-24-291-2024, https://doi.org/10.5194/nhess-24-291-2024, 2024
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For the release of cross-country harmonised hazard and risk models, a communication strategy co-defined by the model developers and communication experts is needed. The strategy should consist of a communication concept, user testing, expert feedback mechanisms, and the establishment of a network with outreach specialists. Here we present our approach for the release of the European Seismic Hazard Model and European Seismic Risk Model and provide practical recommendations for similar efforts.
Laurentiu Danciu, Domenico Giardini, Graeme Weatherill, Roberto Basili, Shyam Nandan, Andrea Rovida, Céline Beauval, Pierre-Yves Bard, Marco Pagani, Celso Guillermo Reyes, Karin Sesetyan, Susana Vilanova, Fabrice Cotton, and Stefan Wiemer
EGUsphere, https://doi.org/10.5194/egusphere-2023-3062, https://doi.org/10.5194/egusphere-2023-3062, 2024
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The 2020 European Seismic Hazard Model (ESHM20) is the latest seismic hazard assessment update for the Euro-Mediterranean region. This state-of-the-art model delivers a broad range of hazard results, including hazard curves, maps, and uniform hazard spectra. ESHM20 provides two hazard maps as informative reference in the next update of the European Seismic Design Codes (CEN EC8) and it also provides a key input to the first earthquake risk model for Europe (Crowley et al., 2021).
Graeme Weatherill, Fabrice Cotton, Guillaume Daniel, Irmela Zentner, Pablo Iturrieta, and Christian Bosse
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-98, https://doi.org/10.5194/nhess-2023-98, 2023
Revised manuscript has not been submitted
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New generations of seismic hazard models are developed with sophisticated approaches to quantify uncertainties in our knowledge of earthquake process. To understand why and how recent state-of-the-art seismic hazard models for France, Germany and Europe differ despite similar underlying assumptions, we present a systematic approach to investigate model-to-model differences and to quantify and visualise them while accounting for their respective uncertainties.
Bénédicte Donniol Jouve, Anne Socquet, Céline Beauval, Jesús Piña Valdès, and Laurentiu Danciu
EGUsphere, https://doi.org/10.5194/egusphere-2024-787, https://doi.org/10.5194/egusphere-2024-787, 2024
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This research investigates how geodetic monitoring enhances accuracy in seismic hazard assessment. By utilizing geodetic strain rate maps for Europe and the ESHM20 source model, we compare geodetic and seismic moment rates across the continent while addressing associated uncertainties. Our analysis reveals primary compatibility in high-activity zones. In well-constrained regions of lower activity, we also observed an overlap in the distribution of seismic and geodetic moments.
Karina Loviknes, Fabrice Cotton, and Graeme Weatherill
Nat. Hazards Earth Syst. Sci., 24, 1223–1247, https://doi.org/10.5194/nhess-24-1223-2024, https://doi.org/10.5194/nhess-24-1223-2024, 2024
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Earthquake ground shaking can be strongly affected by local geology and is often amplified by soft sediments. In this study, we introduce a global geomorphological model for sediment thickness as a protentional parameter for predicting this site amplification. The results show that including geology and geomorphology in site-amplification predictions adds important value and that global or regional models for sediment thickness from fields beyond engineering seismology are worth considering.
Dino Bindi, Riccardo Zaccarelli, Angelo Strollo, Domenico Di Giacomo, Andres Heinloo, Peter Evans, Fabrice Cotton, and Frederik Tilmann
Earth Syst. Sci. Data, 16, 1733–1745, https://doi.org/10.5194/essd-16-1733-2024, https://doi.org/10.5194/essd-16-1733-2024, 2024
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The size of an earthquake is often described by a single number called the magnitude. Among the possible magnitude scales, the seismic moment (Mw) and the radiated energy (Me) scales are based on physical parameters describing the rupture process. Since these two magnitude scales provide complementary information that can be used for seismic hazard assessment and for seismic risk mitigation, we complement the Mw catalog disseminated by the GEOFON Data Centre with Me values.
Maren Böse, Laurentiu Danciu, Athanasios Papadopoulos, John Clinton, Carlo Cauzzi, Irina Dallo, Leila Mizrahi, Tobias Diehl, Paolo Bergamo, Yves Reuland, Andreas Fichtner, Philippe Roth, Florian Haslinger, Frédérick Massin, Nadja Valenzuela, Nikola Blagojević, Lukas Bodenmann, Eleni Chatzi, Donat Fäh, Franziska Glueer, Marta Han, Lukas Heiniger, Paulina Janusz, Dario Jozinović, Philipp Kästli, Federica Lanza, Timothy Lee, Panagiotis Martakis, Michèle Marti, Men-Andrin Meier, Banu Mena Cabrera, Maria Mesimeri, Anne Obermann, Pilar Sanchez-Pastor, Luca Scarabello, Nicolas Schmid, Anastasiia Shynkarenko, Bozidar Stojadinović, Domenico Giardini, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 583–607, https://doi.org/10.5194/nhess-24-583-2024, https://doi.org/10.5194/nhess-24-583-2024, 2024
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Seismic hazard and risk are time dependent as seismicity is clustered and exposure can change rapidly. We are developing an interdisciplinary dynamic earthquake risk framework for advancing earthquake risk mitigation in Switzerland. This includes various earthquake risk products and services, such as operational earthquake forecasting and early warning. Standardisation and harmonisation into seamless solutions that access the same databases, workflows, and software are a crucial component.
Irina Dallo, Michèle Marti, Nadja Valenzuela, Helen Crowley, Jamal Dabbeek, Laurentiu Danciu, Simone Zaugg, Fabrice Cotton, Domenico Giardini, Rui Pinho, John F. Schneider, Céline Beauval, António A. Correia, Olga-Joan Ktenidou, Päivi Mäntyniemi, Marco Pagani, Vitor Silva, Graeme Weatherill, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 291–307, https://doi.org/10.5194/nhess-24-291-2024, https://doi.org/10.5194/nhess-24-291-2024, 2024
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Elena F. Manea, Laurentiu Danciu, Carmen O. Cioflan, Dragos Toma-Danila, and Matt Gerstenberger
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-232, https://doi.org/10.5194/nhess-2023-232, 2024
Preprint under review for NHESS
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We test and evaluate the results of the 2020 European Seismic Hazard Model (ESHM20; Danciu et al., 2021) against observations spamming over a few centuries at twelve cities in Romania. The full distribution of the hazard curves at the given location was considered, and the testing was done for two relevant peak ground acceleration (PGA) values. Our analysis suggests that the observed exceedance rates for the selected PGA levels are consistent with ESHM20 estimates.
Laurentiu Danciu, Domenico Giardini, Graeme Weatherill, Roberto Basili, Shyam Nandan, Andrea Rovida, Céline Beauval, Pierre-Yves Bard, Marco Pagani, Celso Guillermo Reyes, Karin Sesetyan, Susana Vilanova, Fabrice Cotton, and Stefan Wiemer
EGUsphere, https://doi.org/10.5194/egusphere-2023-3062, https://doi.org/10.5194/egusphere-2023-3062, 2024
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The 2020 European Seismic Hazard Model (ESHM20) is the latest seismic hazard assessment update for the Euro-Mediterranean region. This state-of-the-art model delivers a broad range of hazard results, including hazard curves, maps, and uniform hazard spectra. ESHM20 provides two hazard maps as informative reference in the next update of the European Seismic Design Codes (CEN EC8) and it also provides a key input to the first earthquake risk model for Europe (Crowley et al., 2021).
Graeme Weatherill, Fabrice Cotton, Guillaume Daniel, Irmela Zentner, Pablo Iturrieta, and Christian Bosse
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-98, https://doi.org/10.5194/nhess-2023-98, 2023
Revised manuscript has not been submitted
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New generations of seismic hazard models are developed with sophisticated approaches to quantify uncertainties in our knowledge of earthquake process. To understand why and how recent state-of-the-art seismic hazard models for France, Germany and Europe differ despite similar underlying assumptions, we present a systematic approach to investigate model-to-model differences and to quantify and visualise them while accounting for their respective uncertainties.
Roberto Basili, Laurentiu Danciu, Céline Beauval, Karin Sesetyan, Susana Pires Vilanova, Shota Adamia, Pierre Arroucau, Jure Atanackov, Stephane Baize, Carolina Canora, Riccardo Caputo, Michele Matteo Cosimo Carafa, Edward Marc Cushing, Susana Custódio, Mine Betul Demircioglu Tumsa, João C. Duarte, Athanassios Ganas, Julián García-Mayordomo, Laura Gómez de la Peña, Eulàlia Gràcia, Petra Jamšek Rupnik, Hervé Jomard, Vanja Kastelic, Francesco Emanuele Maesano, Raquel Martín-Banda, Sara Martínez-Loriente, Marta Neres, Hector Perea, Barbara Šket Motnikar, Mara Monica Tiberti, Nino Tsereteli, Varvara Tsironi, Roberto Vallone, Kris Vanneste, Polona Zupančič, and Domenico Giardini
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-118, https://doi.org/10.5194/nhess-2023-118, 2023
Revised manuscript under review for NHESS
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This study presents the European Fault-Source Model 2020 (EFSM20), a dataset of 1,248 geologic crustal faults and four subduction systems, each having the necessary parameters to forecast long-term earthquake occurrences in the European continent. This dataset constituted one of the main inputs for the recently released European Seismic Hazard Model 2020, a key instrument to mitigate seismic risk in Europe. EFSM20 adopts recognized open-standard formats, and it is openly accessible and reusable.
Konstantinos Trevlopoulos, Pierre Gehl, Caterina Negulescu, Helen Crowley, and Laurentiu Danciu
EGUsphere, https://doi.org/10.5194/egusphere-2023-1740, https://doi.org/10.5194/egusphere-2023-1740, 2023
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The models used to estimate the probability of exceeding a level of earthquake damages are essential to the reduction of disasters. These models consist of components, which may be tested individually, however testing these types of models as a whole is challenging. Here, we are using observations of damages caused by the Le Teil 2019 earthquake, and estimations with other models to test components of the 2020 Euro-Mediterranean Seismic Hazard Model and the European Seismic Risk Model.
Athanasios N. Papadopoulos, Philippe Roth, Laurentiu Danciu, Paolo Bergamo, Francesco Panzera, Donat Fäh, Carlo Cauzzi, Blaise Duvernay, Alireza Khodaverdian, Pierino Lestuzzi, Ömer Odabaşi, Ettore Fagà, Paolo Bazzurro, Michèle Marti, Nadja Valenzuela, Irina Dallo, Nicolas Schmid, Philip Kästli, Florian Haslinger, and Stefan Wiemer
EGUsphere, https://doi.org/10.5194/egusphere-2023-1504, https://doi.org/10.5194/egusphere-2023-1504, 2023
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The Earthquake Risk Model of Switzerland (ERM-CH23), released in early 2023, is the culmination of a multidisciplinary effort aiming to achieve, for the first time, a comprehensive assessment of the potential consequences of earthquakes on the Swiss building stock and population. ERM-CH23 provides risk estimates for various impact metrics, ranging from economic loss as a result of damage to buildings and their contents, to human losses, such as deaths, injuries and displaced population.
Max Schneider, Fabrice Cotton, and Pia-Johanna Schweizer
Nat. Hazards Earth Syst. Sci., 23, 2505–2521, https://doi.org/10.5194/nhess-23-2505-2023, https://doi.org/10.5194/nhess-23-2505-2023, 2023
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Hazard maps are fundamental to earthquake risk reduction, but research is missing on how to design them. We review the visualization literature to identify evidence-based criteria for color and classification schemes for hazard maps. We implement these for the German seismic hazard map, focusing on communicating four properties of seismic hazard. Our evaluation finds that the redesigned map successfully communicates seismic hazard in Germany, improving on the baseline map for two key properties.
Juan Camilo Gómez Zapata, Massimiliano Pittore, Nils Brinckmann, Juan Lizarazo-Marriaga, Sergio Medina, Nicola Tarque, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 23, 2203–2228, https://doi.org/10.5194/nhess-23-2203-2023, https://doi.org/10.5194/nhess-23-2203-2023, 2023
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To investigate cumulative damage on extended building portfolios, we propose an alternative and modular method to probabilistically integrate sets of single-hazard vulnerability models that are being constantly developed by experts from various research fields to be used within a multi-risk context. We demonstrate its application by assessing the economic losses expected for the residential building stock of Lima, Peru, a megacity commonly exposed to consecutive earthquake and tsunami scenarios.
John Douglas, Helen Crowley, Vitor Silva, Warner Marzocchi, Laurentiu Danciu, and Rui Pinho
EGUsphere, https://doi.org/10.5194/egusphere-2023-991, https://doi.org/10.5194/egusphere-2023-991, 2023
Preprint withdrawn
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Estimates of the earthquake ground motions expected during the lifetime of a building or the length of an insurance policy are frequently calculated for locations around the world. Estimates for the same location from different studies can show large differences. These differences affect engineering, financial and risk management decisions. We apply various approaches to understand when such differences have an impact on such decisions and when they are expected because data are limited.
Audrey Bonnelye, Pierre Dick, Marco Bohnhoff, Fabrice Cotton, Rüdiger Giese, Jan Henninges, Damien Jougnot, Grzegorz Kwiatek, and Stefan Lüth
Adv. Geosci., 58, 177–188, https://doi.org/10.5194/adgeo-58-177-2023, https://doi.org/10.5194/adgeo-58-177-2023, 2023
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The overall objective of the CHENILLE project is to performed an in-situ experiment in the Underground Reaserch Laboratory of Tournemire (Southern France) consisting of hydraulic and thermal stimulation of a fault zone. This experiment is monitored with extensive geophysical means (passive seismic, active seismic, distributed fiber optics for temperature measurements) in order to unravel the physical processes taking place during the stimulation for a better charactization of fault zones.
Juan Camilo Gomez-Zapata, Nils Brinckmann, Sven Harig, Raquel Zafrir, Massimiliano Pittore, Fabrice Cotton, and Andrey Babeyko
Nat. Hazards Earth Syst. Sci., 21, 3599–3628, https://doi.org/10.5194/nhess-21-3599-2021, https://doi.org/10.5194/nhess-21-3599-2021, 2021
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We present variable-resolution boundaries based on central Voronoi tessellations (CVTs) to spatially aggregate building exposure models and physical vulnerability assessment. Their geo-cell sizes are inversely proportional to underlying distributions that account for the combination between hazard intensities and exposure proxies. We explore their efficiency and associated uncertainties in risk–loss estimations and mapping from decoupled scenario-based earthquakes and tsunamis in Lima, Peru.
Marco Broccardo, Arnaud Mignan, Francesco Grigoli, Dimitrios Karvounis, Antonio Pio Rinaldi, Laurentiu Danciu, Hannes Hofmann, Claus Milkereit, Torsten Dahm, Günter Zimmermann, Vala Hjörleifsdóttir, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 20, 1573–1593, https://doi.org/10.5194/nhess-20-1573-2020, https://doi.org/10.5194/nhess-20-1573-2020, 2020
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This study presents a first-of-its-kind pre-drilling probabilistic induced seismic risk analysis for the Geldinganes (Iceland) deep-hydraulic stimulation. The results of the assessment indicate that the individual risk within a radius of 2 km around the injection point is below the safety limits. However, the analysis is affected by a large variability due to the presence of pre-drilling deep uncertainties. This suggests the need for online risk updating during the stimulation.
Sebastian von Specht, Ugur Ozturk, Georg Veh, Fabrice Cotton, and Oliver Korup
Solid Earth, 10, 463–486, https://doi.org/10.5194/se-10-463-2019, https://doi.org/10.5194/se-10-463-2019, 2019
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We show the landslide response to the 2016 Kumamoto earthquake (Mw 7.1) in central Kyushu (Japan). Landslides are concentrated to the northeast of the rupture, coinciding with the propagation direction of the earthquake. This azimuthal variation in the landslide concentration is linked to the seismic rupture process itself and not to classical landslide susceptibility factors. We propose a new ground-motion model that links the seismic radiation pattern with the landslide distribution.
Ahoura Jafarimanesh, Arnaud Mignan, and Laurentiu Danciu
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2018-167, https://doi.org/10.5194/nhess-2018-167, 2018
Revised manuscript not accepted
Related subject area
Earthquake Hazards
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Exploring inferred geomorphological sediment thickness as a new site proxy to predict ground-shaking amplification at regional scale: application to Europe and eastern Türkiye
Surface rupture kinematics of the 2020 Mw 6.6 Masbate (Philippines) earthquake determined from optical and radar data
The influence of aftershocks on seismic hazard analysis: a case study from Xichang and the surrounding areas
Characteristics and mechanisms of near-surface negative atmospheric electric field anomalies preceding the 5 September 2022, Ms 6.8 Luding earthquake in China
Seismogenic depth and seismic coupling estimation in the transition zone between Alps, Dinarides and Pannonian Basin for the new Slovenian seismic hazard model
Towards a dynamic earthquake risk framework for Switzerland
Understanding flow characteristics from tsunami deposits at Odaka, Joban Coast, using a deep neural network (DNN) inverse model
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Update on the seismogenic potential of the Upper Rhine Graben southern region
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Earthquake forecasting model for Albania: the area source model and the smoothing model
The footprint of a historical paleoearthquake: the sixth-century-CE event in the European western Southern Alps
Risk-informed representative earthquake scenarios for Valparaíso and Viña del Mar, Chile
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The seismic hazard from the Lembang Fault, Indonesia, derived from InSAR and GNSS data
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Rapid estimation of seismic intensities by analyzing early aftershock sequences using the robust locally weighted regression program (LOWESS)
Towards improving the spatial testability of aftershock forecast models
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The Earthquake Risk Model of Switzerland ERM-CH23
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Vera D'Amico, Francesco Visini, Andrea Rovida, Warner Marzocchi, and Carlo Meletti
Nat. Hazards Earth Syst. Sci., 24, 1401–1413, https://doi.org/10.5194/nhess-24-1401-2024, https://doi.org/10.5194/nhess-24-1401-2024, 2024
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We propose a scoring strategy to rank multiple models/branches of a probabilistic seismic hazard analysis (PSHA) model that could be useful to consider specific requests from stakeholders responsible for seismic risk reduction actions. In fact, applications of PSHA often require sampling a few hazard curves from the model. The procedure is introduced through an application aimed to score and rank the branches of a recent Italian PSHA model according to their fit with macroseismic intensity data.
Davide Scafidi, Alfio Viganò, Jacopo Boaga, Valeria Cascone, Simone Barani, Daniele Spallarossa, Gabriele Ferretti, Mauro Carli, and Giancarlo De Marchi
Nat. Hazards Earth Syst. Sci., 24, 1249–1260, https://doi.org/10.5194/nhess-24-1249-2024, https://doi.org/10.5194/nhess-24-1249-2024, 2024
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Our paper concerns the use of a dense network of low-cost seismic accelerometers in populated areas to achieve rapid and reliable estimation of exposure maps in Trentino (northeast Italy). These additional data, in conjunction with the automatic monitoring procedure, allow us to obtain dense measurements which only rely on actual recorded data, avoiding the use of ground motion prediction equations. This leads to a more reliable picture of the actual ground shaking.
Karina Loviknes, Fabrice Cotton, and Graeme Weatherill
Nat. Hazards Earth Syst. Sci., 24, 1223–1247, https://doi.org/10.5194/nhess-24-1223-2024, https://doi.org/10.5194/nhess-24-1223-2024, 2024
Short summary
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Earthquake ground shaking can be strongly affected by local geology and is often amplified by soft sediments. In this study, we introduce a global geomorphological model for sediment thickness as a protentional parameter for predicting this site amplification. The results show that including geology and geomorphology in site-amplification predictions adds important value and that global or regional models for sediment thickness from fields beyond engineering seismology are worth considering.
Khelly Shan Sta. Rita, Sotiris Valkaniotis, and Alfredo Mahar Francisco Lagmay
Nat. Hazards Earth Syst. Sci., 24, 1135–1161, https://doi.org/10.5194/nhess-24-1135-2024, https://doi.org/10.5194/nhess-24-1135-2024, 2024
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The ground movement and rupture produced by the 2020 Masbate earthquake in the Philippines were studied using satellite data. We highlight the importance of the complementary use of optical and radar datasets. The slip measurements and field observations helped improve our understanding of the seismotectonics of the region, which is critical for seismic hazard studies.
Qing Wu, Guijuan Lai, Jian Wu, and Jinmeng Bi
Nat. Hazards Earth Syst. Sci., 24, 1017–1033, https://doi.org/10.5194/nhess-24-1017-2024, https://doi.org/10.5194/nhess-24-1017-2024, 2024
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Aftershocks are typically ignored for traditional probabilistic seismic hazard analyses, which underestimate the seismic hazard to some extent and may cause potential risks. A probabilistic seismic hazard analysis based on the Monte Carlo method was combined with the Omi–Reasenberg–Jones model to systematically study how aftershocks impact seismic hazard analyses. The influence of aftershocks on probabilistic seismic hazard analysis can exceed 50 %.
Lixin Wu, Xiao Wang, Yuan Qi, Jingchen Lu, and Wenfei Mao
Nat. Hazards Earth Syst. Sci., 24, 773–789, https://doi.org/10.5194/nhess-24-773-2024, https://doi.org/10.5194/nhess-24-773-2024, 2024
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The atmospheric electric field (AEF) is the bridge connecting the surface charges and atmospheric particle changes before an earthquake, which is essential for the study of the coupling process between the coversphere and atmosphere caused by earthquakes. This study discovers AEF anomalies before the Luding earthquake in 2022 and clarifies the relationship between the surface changes and atmosphere changes possibly caused by the earthquake.
Polona Zupančič, Barbara Šket Motnikar, Michele M. C. Carafa, Petra Jamšek Rupnik, Mladen Živčić, Vanja Kastelic, Gregor Rajh, Martina Čarman, Jure Atanackov, and Andrej Gosar
Nat. Hazards Earth Syst. Sci., 24, 651–672, https://doi.org/10.5194/nhess-24-651-2024, https://doi.org/10.5194/nhess-24-651-2024, 2024
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We considered two parameters that affect seismic hazard assessment in Slovenia. The first parameter we determined is the thickness of the lithosphere's section where earthquakes are generated. The second parameter is the activity of each fault, which is expressed by its average displacement per year (slip rate). Since the slip rate can be either seismic or aseismic, we estimated both components. This analysis was based on geological and seismological data and was validated through comparisons.
Maren Böse, Laurentiu Danciu, Athanasios Papadopoulos, John Clinton, Carlo Cauzzi, Irina Dallo, Leila Mizrahi, Tobias Diehl, Paolo Bergamo, Yves Reuland, Andreas Fichtner, Philippe Roth, Florian Haslinger, Frédérick Massin, Nadja Valenzuela, Nikola Blagojević, Lukas Bodenmann, Eleni Chatzi, Donat Fäh, Franziska Glueer, Marta Han, Lukas Heiniger, Paulina Janusz, Dario Jozinović, Philipp Kästli, Federica Lanza, Timothy Lee, Panagiotis Martakis, Michèle Marti, Men-Andrin Meier, Banu Mena Cabrera, Maria Mesimeri, Anne Obermann, Pilar Sanchez-Pastor, Luca Scarabello, Nicolas Schmid, Anastasiia Shynkarenko, Bozidar Stojadinović, Domenico Giardini, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 583–607, https://doi.org/10.5194/nhess-24-583-2024, https://doi.org/10.5194/nhess-24-583-2024, 2024
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Seismic hazard and risk are time dependent as seismicity is clustered and exposure can change rapidly. We are developing an interdisciplinary dynamic earthquake risk framework for advancing earthquake risk mitigation in Switzerland. This includes various earthquake risk products and services, such as operational earthquake forecasting and early warning. Standardisation and harmonisation into seamless solutions that access the same databases, workflows, and software are a crucial component.
Rimali Mitra, Hajime Naruse, and Tomoya Abe
Nat. Hazards Earth Syst. Sci., 24, 429–444, https://doi.org/10.5194/nhess-24-429-2024, https://doi.org/10.5194/nhess-24-429-2024, 2024
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This study estimates the behavior of the 2011 Tohoku-oki tsunami from its deposit distributed in the Joban coastal area. In this study, the flow characteristics of the tsunami were reconstructed using the DNN (deep neural network) inverse model, suggesting that the tsunami inundation occurred in the very high-velocity condition.
Sedat İnan, Hasan Çetin, and Nurettin Yakupoğlu
Nat. Hazards Earth Syst. Sci., 24, 397–409, https://doi.org/10.5194/nhess-24-397-2024, https://doi.org/10.5194/nhess-24-397-2024, 2024
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Two devastating earthquakes, Mw 7.7 and Mw 7.6, occurred in Türkiye on 6 February 2023. We obtained commercially bottled waters from two springs, 100 km from the epicenter of Mw 7.7. Samples of the first spring emanating from fault zone in hard rocks showed positive anomalies in major ions lasting for 6 months before the earthquake. Samples from the second spring accumulated in an alluvium deposit showed no anomalies. We show that pre-earthquake anomalies are geologically site-dependent.
Sylvain Michel, Clara Duverger, Laurent Bollinger, Jorge Jara, and Romain Jolivet
Nat. Hazards Earth Syst. Sci., 24, 163–177, https://doi.org/10.5194/nhess-24-163-2024, https://doi.org/10.5194/nhess-24-163-2024, 2024
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The Upper Rhine Graben, located in France and Germany, is bordered by north–south-trending faults, posing a potential threat to dense population and infrastructures on the Alsace plain. We build upon previous seismic hazard studies of the graben by exploring uncertainties in greater detail, revisiting a number of assumptions. There is a 99 % probability that a maximum-magnitude earthquake would be below 7.3 if assuming a purely dip-slip mechanism or below 7.6 if assuming a strike-slip one.
Melody Philippon, Jean Roger, Jean Frédéric Lebrun, Isabelle Thinon, Océane Foix, Stéphane Mazzotti, Marc-André Gutscher, Leny Montheil, and Jean-Jacques Cornée
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-222, https://doi.org/10.5194/nhess-2023-222, 2024
Revised manuscript accepted for NHESS
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Using novel geophysical datasets we reassess the slip rate of the Morne Piton Fault (Lesser Antilles) at 0.2 mm.yr-1, dividing by five previous estimations and thus increasing the earthquake time recurrence and lowering the associated hazard. We evaluate a plausible magnitude for a potential seismic event of Mw 6.5 ± 0.5. Our multi-segment tsunami model representative for the worst-case scenario gives an overview of tsunami generation if the whole Fault segments would ruptured together.
Edlira Xhafaj, Chung-Han Chan, and Kuo-Fong Ma
Nat. Hazards Earth Syst. Sci., 24, 109–119, https://doi.org/10.5194/nhess-24-109-2024, https://doi.org/10.5194/nhess-24-109-2024, 2024
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Our study introduces new earthquake forecasting models for Albania, aiming to map out future seismic hazards. By analysing earthquakes from 1960 to 2006, we have developed models that predict where activity is most likely to occur, highlighting the western coast and southern regions as high-hazard zones. Our validation process confirms these models are effective tools for anticipating seismic events, offering valuable insights for earthquake preparedness and hazard assessment efforts.
Franz Livio, Maria Francesca Ferrario, Elisa Martinelli, Sahra Talamo, Silvia Cercatillo, and Alessandro Maria Michetti
Nat. Hazards Earth Syst. Sci., 23, 3407–3424, https://doi.org/10.5194/nhess-23-3407-2023, https://doi.org/10.5194/nhess-23-3407-2023, 2023
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Here we document the occurrence of an historical earthquake that occurred in the European western Southern Alps in the sixth century CE. Analysis of the effects due to earthquake shaking in the city of Como (N Italy) and a comparison with dated offshore landslides in the Alpine lakes allowed us to make an inference about the possible magnitude and the location of the seismic source for this event.
Hugo Rosero-Velásquez, Mauricio Monsalve, Juan Camilo Gómez Zapata, Elisa Ferrario, Alan Poulos, Juan Carlos de la Llera, and Daniel Straub
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-186, https://doi.org/10.5194/nhess-2023-186, 2023
Revised manuscript accepted for NHESS
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Seismic risk management uses scenarios of earthquake events, but the selection criteria do not always consider consequences to exposed assets. For this reason, we adopt a definition of representative scenario, associated to a return period and loss level, for selecting such scenarios among a big set of possible earthquakes. We identify the scenarios for the residential buildings and power supply in Valparaíso and Viña del Mar, Chile. The selected scenarios vary in function of the exposed assets.
Simone Francesco Fornasari, Deniz Ertuncay, and Giovanni Costa
Nat. Hazards Earth Syst. Sci., 23, 3219–3234, https://doi.org/10.5194/nhess-23-3219-2023, https://doi.org/10.5194/nhess-23-3219-2023, 2023
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We analysed the background seismic noise for the Italian strong motion network by developing the Italian accelerometric low- and high-noise models. Spatial and temporal variations of the noise levels have been analysed. Several stations located near urban areas are affected by human activities, with high noise levels in the low periods. Our results provide an overview of the background noise of the strong motion network and can be used as a station selection criterion for future research.
Subash Ghimire, Philippe Guéguen, Adrien Pothon, and Danijel Schorlemmer
Nat. Hazards Earth Syst. Sci., 23, 3199–3218, https://doi.org/10.5194/nhess-23-3199-2023, https://doi.org/10.5194/nhess-23-3199-2023, 2023
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This study explores the efficacy of several machine learning models for damage characterization, trained and tested on the Database of Observed Damage (DaDO) for Italian earthquakes. Reasonable damage prediction effectiveness (68 % accuracy) is observed, particularly when considering basic structural features and grouping the damage according to the traffic-light-based system used during the post-disaster period (green, yellow, and red), showing higher relevancy for rapid damage prediction.
Ekbal Hussain, Endra Gunawan, Nuraini Rahma Hanifa, and Qori'atu Zahro
Nat. Hazards Earth Syst. Sci., 23, 3185–3197, https://doi.org/10.5194/nhess-23-3185-2023, https://doi.org/10.5194/nhess-23-3185-2023, 2023
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The earthquake potential of the Lembang Fault, located near the city of Bandung in West Java, Indonesia, is poorly understood. Bandung has a population of over 8 million people. We used satellite data to estimate the energy storage on the fault and calculate the likely size of potential future earthquakes. We use simulations to show that 1.9–2.7 million people would be exposed to high levels of ground shaking in the event of a major earthquake on the fault.
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karayev, Paola Ceresa, and Paolo Bazzurro
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-131, https://doi.org/10.5194/nhess-2023-131, 2023
Revised manuscript accepted for NHESS
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A regionally consistent probabilistic risk assessment for multiple hazards and assets was recently developed as part of the “Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia” (SFRARR) program, promoted by the European Union in collaboration with the World Bank and GFDRR. This paper describes the preparation of the input data sets (earthquake catalog and active fault database) needed to implement a probabilistic earthquake model for the Central Asian countries.
Huaiqun Zhao, Wenkai Chen, Can Zhang, and Dengjie Kang
Nat. Hazards Earth Syst. Sci., 23, 3031–3050, https://doi.org/10.5194/nhess-23-3031-2023, https://doi.org/10.5194/nhess-23-3031-2023, 2023
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Early emergency response requires improving the utilization value of the data available in the early post-earthquake period. We proposed a method for assessing seismic intensities by analyzing early aftershock sequences using the robust locally weighted regression program. The seismic intensity map evaluated by the method can reflect the range of the hardest-hit areas and the spatial distribution of the possible property damage and casualties caused by the earthquake.
Asim M. Khawaja, Behnam Maleki Asayesh, Sebastian Hainzl, and Danijel Schorlemmer
Nat. Hazards Earth Syst. Sci., 23, 2683–2696, https://doi.org/10.5194/nhess-23-2683-2023, https://doi.org/10.5194/nhess-23-2683-2023, 2023
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Testing of earthquake forecasts is important for model verification. Forecasts are usually spatially discretized with many equal-sized grid cells, but often few earthquakes are available for evaluation, leading to meaningless tests. Here, we propose solutions to improve the testability of earthquake forecasts and give a minimum ratio between the number of earthquakes and spatial cells for significant tests. We show applications of the proposed technique for synthetic and real case studies.
Konstantinos Trevlopoulos, Pierre Gehl, Caterina Negulescu, Helen Crowley, and Laurentiu Danciu
EGUsphere, https://doi.org/10.5194/egusphere-2023-1740, https://doi.org/10.5194/egusphere-2023-1740, 2023
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The models used to estimate the probability of exceeding a level of earthquake damages are essential to the reduction of disasters. These models consist of components, which may be tested individually, however testing these types of models as a whole is challenging. Here, we are using observations of damages caused by the Le Teil 2019 earthquake, and estimations with other models to test components of the 2020 Euro-Mediterranean Seismic Hazard Model and the European Seismic Risk Model.
Athanasios N. Papadopoulos, Philippe Roth, Laurentiu Danciu, Paolo Bergamo, Francesco Panzera, Donat Fäh, Carlo Cauzzi, Blaise Duvernay, Alireza Khodaverdian, Pierino Lestuzzi, Ömer Odabaşi, Ettore Fagà, Paolo Bazzurro, Michèle Marti, Nadja Valenzuela, Irina Dallo, Nicolas Schmid, Philip Kästli, Florian Haslinger, and Stefan Wiemer
EGUsphere, https://doi.org/10.5194/egusphere-2023-1504, https://doi.org/10.5194/egusphere-2023-1504, 2023
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The Earthquake Risk Model of Switzerland (ERM-CH23), released in early 2023, is the culmination of a multidisciplinary effort aiming to achieve, for the first time, a comprehensive assessment of the potential consequences of earthquakes on the Swiss building stock and population. ERM-CH23 provides risk estimates for various impact metrics, ranging from economic loss as a result of damage to buildings and their contents, to human losses, such as deaths, injuries and displaced population.
Lukas Bodenmann, Jack W. Baker, and Božidar Stojadinović
Nat. Hazards Earth Syst. Sci., 23, 2387–2402, https://doi.org/10.5194/nhess-23-2387-2023, https://doi.org/10.5194/nhess-23-2387-2023, 2023
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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.
José A. Álvarez-Gómez, Paula Herrero-Barbero, and José J. Martínez-Díaz
Nat. Hazards Earth Syst. Sci., 23, 2031–2052, https://doi.org/10.5194/nhess-23-2031-2023, https://doi.org/10.5194/nhess-23-2031-2023, 2023
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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.
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.
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.
Cited articles
Abrahamson, N., Gregor, N., and Addo, K.: BC Hydro Ground Motion Prediction Equations for Subduction Earthquakes, Earthq. Spectra, 32, 23–44, https://doi.org/10.1193/051712EQS188MR, 2016.
Abrahamson, N., Kuehn, N., Gulerce, Z., Gregor, N., Bozorgnia, Y., Parker, G., Stewart, J., Chiou, B., Idriss, L. M., Campbell, K., and Youngs, R. R.: Update of the BCHydro Subduction Ground-Motion Model Using the NGA-Subduction Dataset, Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, https://doi.org/10.55461/OYCD7434, 2018.
Abrahamson, N. A. and Gulerce, Z.: Summary of the Abrahamson and Gulerce NGA-SUB ground-motion model for subduction earthquakes, Earthq. Spectra, 38, 2638–2681, https://doi.org/10.1177/87552930221114374, 2022.
Abrahamson, N. A., Silva, W. J., and Kamai, R.: Summary of the ASK14 Ground Motion Relation for Active Crustal Regions, Earthq. Spectra, 30, 1025–1055, https://doi.org/10.1193/070913EQS198M, 2014.
Akkar, S., Sandıkkaya, M. A., and Bommer, J. J.: Empirical ground-motion models for point- and extended-source crustal earthquake scenarios in Europe and the Middle East, B. Earthq. Eng., 12, 359–387, https://doi.org/10.1007/s10518-013-9461-4, 2014a.
Akkar, S., Sandikkaya, M. A., Senyert, M., Azari Sisi, A., Ay, B. Ö., Traversa, P., Douglas, J., Cotton, F., Luzi, L., Hernandez, B., and Godey, S.: Reference database for seismic ground-motion in Europe (RESORCE), B. Earthq. Eng., 12, 311–339, https://doi.org/10.1007/s10518-013-9506-8, 2014b.
Al Atik, L.: NGA-East: Ground-Motion Standard Deviation Models for Central and Eastern North America, Pacific Earthquake Engineering Research Center, Berkeley, https://peer.berkeley.edu/sites/default/files/webpeer-2015-07-linda_al_atik.pdf (last access: June 2020), 2015.
Al Atik, L. and Youngs, R. R.: Epistemic Uncertainty for NGA-West2 Models, Earthq. Spectra, 30, 1301–1318, https://doi.org/10.1193/062813EQS173M, 2014.
Asch, K.: The 1:5 Million International Geological Map of Eurioe and Adjacent Areas (Digital Dataset), Bundesanstalt für Geowissenschaften und Rohstoffe (BGR), https://www.bgr.bund.de/EN/Themen/Sammlungen-Grundlagen/GG_geol_Info/Karten/Europa/IGME5000/IGME_Project/IGME_Projectinfo.html;jsessionid=77F5C1F7313160F6F8293D75155F2C62.internet012?nn=1556480 (last access: June 2020), 2005.
Atkinson, G. M. and Boore, D. M.: Empirical Ground-Motion Relations for Subduction-Zone Earthquakes and Their Application to Cascadia and Other Regions, B. Seismol. Soc. Am., 93, 1703–1729, https://doi.org/10.1785/0120020156, 2003.
Atkinson, G. M., Bommer, J. J., and Abrahamson, N. A.: Alternative Approaches to Modeling Epistemic Uncertainty in Ground Motions in Probabilistic Seismic-Hazard Analysis, Seismol. Res. Lett., 85, 1141–1144, https://doi.org/10.1785/0220140120, 2014.
Baker, J. W., Bradley, B. A., and Stafford, P. J.: Seismic Hazard and Risk Analysis, Cambridge University Press, ISBN 9781108348157, https://doi.org/10.1017/9781108425056, 2021.
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., Tiberti, M. M., Thio, H. K., 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. Gürbüz, M., Pekcan, O., Yalçıner, A., Canals, M., Lastras, G., Agalos, A., Papadopoulos, G., Triantafyllou, I., Benchekroun, S., Agrebi Jaouadi, H., 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., and Zaytsev, A.: The Making of the NEAM Tsunami Hazard Model 2018 (NEAMTHM18), Front. Earth Sci., 8, 616594, https://doi.org/10.3389/feart.2020.616594, 2021.
Bindi, D., Massa, M., Luzi, L., Ameri, G., Pacor, F., Puglia, R., and Augliera, P.: Pan-European ground-motion prediction equations for the average horizontal component of PGA, PGV, and 5 %-damped PSA at spectral periods up to 3.0 s using the RESORCE dataset, B. Earthq. Eng., 12, 391–430, https://doi.org/10.1007/s10518-013-9525-5, 2014.
Bindi, D., Kotha, S. R., Weatherill, G., Lanzano, G., Luzi, L., and Cotton, F.: The pan-European engineering strong motion (ESM) flatfile: consistency check via residual analysis, B. Earthq. Eng., 17, 583–602, https://doi.org/10.1007/s10518-018-0466-x, 2019.
Bommer, J. J.: Challenges of Building Logic Trees for Probabilistic Seismic Hazard Analysis, Earthq. Spectra, 28, 1723–1735, https://doi.org/10.1193/1.4000079, 2012.
Bommer, J. J. and Scherbaum, F.: The Use and Misuse of Logic Trees in Probabilistic Seismic Hazard Analysis, Earthq. Spectra, 24, 997–1009, https://doi.org/10.1193/1.2977755, 2008.
Bommer, J. J. and Stafford, P. J.: Selecting Ground-Motion Models for Site-Specific PSHA: Adaptability versus Applicability, B. Seismol. Soc. Am., 110, 2801–2815, https://doi.org/10.1785/0120200171, 2020.
Bommer, J. J., Douglas, J., Scherbaum, F., Cotton, F., Bungum, H., and Fäh, D.: On the Selection of Ground-Motion Prediction Equations for Seismic Hazard Analysis, Seismol. Res. Lett., 81, 783–793, https://doi.org/10.1785/gssrl.81.5.783, 2010.
Bommer, J. J., Coppersmith, K. J., Coppersmith, R. T., Hanson, K. L., Mangongolo, A., Neveling, J., Rathje, E. M., Rodriguez-Marek A. M., Scherbaum, F., Shelembe, R., Stafford, P. J., and Strasser, F. O.: A SSHAC Level 3 Probabilistic Seismic Hazard Analysis for a New-Build Nuclear Site in South Africa, Earthq. Spectra, 31, 661–698, https://doi.org/10.1193/060913EQS145M, 2015.
Boore, D. M., Stewart, J. P., Seyhan, E., and Atkinson, G. M.: NGA-West2 Equations for Predicting PGA, PGV, and 5 % Damped PSA for Shallow Crustal Earthquakes, Earthq. Spectra, 30, 1057–1085, https://doi.org/10.1193/070113EQS184M, 2014.
Bozorgnia, Y. and Stewart, J. P.: Data resources for NGA-Subduction Project, Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, Berkeley, https://doi.org/10.55461/RDWC6463, 2020.
Bradley, B. A., Bora, S., Lee, R. L., Manea, E. F., Gerstenberger, M. C., Stafford, P. J., Atkinson, G. M., Weatherill, G., Hutchinson, J., de la Torre, C. A., Hulsey, A. M., and Kaiser, A. E.: The Ground‐Motion Characterization Model for the 2022 New Zealand National Seismic Hazard Model, Bull. Seismol. Soc. Am., 114, 329–349, https://doi.org/10.1785/0120230170, 2023.
Breusch, T. S. and Pagan, A. R.: A Simple Test for Heteroscedasticity and Random Coefficient Variation, Econometrica, 47, 1287–1294, https://doi.org/10.2307/1911963, 1979.
Campbell, K. W.: Proposed methodology for estimating the magnitude at which subduction megathrust ground motions and source dimensions exhibit a break in magnitude scaling: Example for 79 global subduction zones, Earthq. Spectra, 36, 1271–1297, https://doi.org/10.1177/8755293019899957, 2020.
Campbell, K. W. and Bozorgnia, Y.: NGA-West2 Ground Motion Model for the Average Horizontal Components of PGA, PGV, and 5 % Damped Linear Acceleration Response Spectra, Earthq. Spectra, 30, 1087–1115, https://doi.org/10.1193/062913EQS175M, 2014.
Campbell, K. W., Bozorgnia, Y., Kuehn, N., and Gregor, N.: An evaluation of partially nonergodic PGA ground-motion models for Japanese megathrust earthquakes, Earthq. Spectra, 38, 2611–2637, https://doi.org/10.1177/87552930221104840, 2022.
Caramenti, L., Menafoglio, A., Sgobba, S., and Lanzano, G.: Multi-source geographically weighted regression for regionalized ground-motion models, Spatial Stat., 47, 100610, https://doi.org/10.1016/j.spasta.2022.100610, 2022.
Cauzzi, C., Faccioli, E., Vanini, M., and Bianchini, A.: Updated predictive equations for broadband (0.01–10 s) horizontal response spectra and peak ground motions, based on a global dataset of digital acceleration records, B. Earthq. Eng., 13, 1587–1612, https://doi.org/10.1007/s10518-014-9685-y, 2015.
Chen, Y.-S., Weatherill, G., Pagani, M., and Cotton, F.: A transparent and data-driven global tectonic regionalization model for seismic hazard assessment, Geophys. J. Int., 213, 1263–1280, https://doi.org/10.1093/gji/ggy005, 2018.
Chiou, B. S.-J. and Youngs, R. R.: Update of the Chiou and Youngs NGA Model for the Average Horizontal Component of Peak Ground Motion and Response Spectra, Earthq. Spectra, 30, 1117–1153, https://doi.org/10.1193/072813EQS219M, 2014.
Crowley, H., Dabbeek, J., Despotaki, V., Rodrigues, D., Martins, L., Silva, V., Romão, X., Pereira, N., Weatherill, G., and Danciu, L.: European Seismic Risk Model (ESRM20), https://doi.org/10.7414/EUC-EFEHR-TR002-ESRM20, 2021.
Dabbeek, J., Crowley, H., Silva, V., Weatherill, G., Paul, N., and Nievas, C. I.: Impact of exposure spatial resolution on seismic loss estimates in regional portfolios, B. Earthq. Eng., 19, 5819–5841, https://doi.org/10.1007/s10518-021-01194-x, 2021.
Danciu, L., Nandan, S., Reyes, C., Basili, R., Weatherill, G., Beauval, C., Rovida, A., Vilanova, S., Sesetyan, K., Bard, P. Y., Cotton, F., Wiemer, S., and Giardini, D.: The 2020 update of the European Seismic Hazard Models – ESHM20: Model Overview, https://doi.org/10.12686/a15, 2021.
Delavaud, E., Cotton, F., Akkar, S., and Scherbaum, F.: Toward a ground-motion logic tree for probabilistic seismic hazard assessment in Europe, J. Seismol., 16, 451–473, https://doi.org/10.1007/s10950-012-9281-z, 2012.
Derras, B., Bard, P. Y., and Cotton, F.: Towards fully data driven ground-motion prediction models for Europe, B. Earthq. Eng., 12, 495–516, https://doi.org/10.1007/s10518-013-9481-0, 2014.
Douglas, J.: Capturing Geographically-Varying Uncertainty in Earthquake Ground Motion Models or What We Think We Know May Change, in: Recent Advances in Earthquake Engineering in Europe, vol. 46, edited by: Pitilakis, K., Springer International Publishing, Cham, 153–181, https://doi.org/10.1007/978-3-319-75741-4_6, 2018.
Drouet, S., Ameri, G., Le Dortz, K., Secanell, R., and Senfaute, G.: A probabilistic seismic hazard map for the metropolitan France, B. Earthq. Eng., 18, 1865–1898, https://doi.org/10.1007/s10518-020-00790-7, 2020.
Fülöp, L., Jussila, V., Aapasuo, R., Vuorinen, T., and Mäntyniemi, P.: A Ground-Motion Prediction Equation for Fennoscandian Nuclear Installations, B. Seismol. Soc. Am., 110, 1211–1230, https://doi.org/10.1785/0120190230, 2020.
García, D., Singh, S. K., Herráiz, M., Ordaz, M., and Pacheco, F.: Inslab earthquakes of Central Mexico: Peak ground‐motion parameters and response spectra, Bull. Seismol. Soc. Am., 95, 2272–2282, 2005.
Ghasemi, H., Cummins, P., Weatherill, G., McKee, C., Hazelwood, M., and Allen, T.: Seismotectonic model and probabilistic seismic hazard assessment for Papua New Guinea, B. Earthq. Eng., 18, 6571–6605, https://doi.org/10.1007/s10518-020-00966-1, 2020.
Goulet, C. A., Abrahamson, N. A., Somerville, P. G., and Wooddell, K. E.: The SCEC Broadband Platform Exercise: Methodology for Code Validation in the Context of Seismic Hazard Analysis, Seismol. Res. Lett., 86, 17–26, https://doi.org/10.1785/0220140104, 2015.
Goulet, C. A., Bozorgnia, Y., Kuehn, N., Al Atik, L., Youngs, R. R., Graves, R. W., and Atkinson, G. M.: NGA-East Ground-Motion Models for the U.S. Geological Survey National Seismic Hazard Maps, Pacific Earthquake Engineering Research Center, University of California, Berkeley, https://doi.org/10.55461/QOZJ4825, 2017.
Goulet, C. A., Bozorgnia, Y., Kuehn, N., Al Atik, L., Youngs, R. R., Graves, R. W., and Atkinson, G. M.: NGA-East Ground-Motion Characterization model part I: Summary of products and model development, Earthq. Spectra, 37, 1231–1282, https://doi.org/10.1177/87552930211018723, 2021.
Grad, M., Tiira, T., and The ESC Working Group: The Moho depth map of the European plate, Geophys. J. Int., 176, 279–292, 2009.
Gregor, N., Addo, K., Abrahamson, N. A., Al Atik, L., Atkinson, G. M., Boore, D., M., Bozorgnia, Y., Campbell, K. W., Chiou, B. S.-J., Gülerce, Z., Hassani, B., Kishida, T., Kuehn, N., Mazzoni, S., Midorikawa, S., Parker, G. A., Si, H., Stewart, J. P., and Youngs, R. R.: Comparisons of the NGA-Subduction ground motion models, Earthq. Spectra, 38, 2580–2610, https://doi.org/10.1177/87552930221112688, 2022.
Grünthal, G. and Wahlström, R.: The European-Mediterranean Earthquake Catalogue (EMEC) for the last millennium, J. Seismol., 16, 535–570, https://doi.org/10.1007/s10950-012-9302-y, 2012.
Grünthal, G., Stromeyer, D., Bosse, C., Cotton, F., and Bindi, D.: The probabilistic seismic hazard assessment of Germany – version 2016, considering the range of epistemic uncertainties and aleatory variability, B. Earthq. Eng., 16, 4339–4395, https://doi.org/10.1007/s10518-018-0315-y, 2018.
Hashash, Y. M. A., Ilhan, O., Harmon, J. A., Parker, G. A., Stewart, J. P., Rathje, E. M., Campbell, K. W., and Silva, W. J.: Nonlinear site amplification model for ergodic seismic hazard analysis in Central and Eastern North America, Earthq. Spectra, 36, 69–86, https://doi.org/10.1177/8755293019878193, 2020.
Hassani, B. and Atkinson, G. M.: Equivalent Point-Source Ground-Motion Model for Subduction Earthquakes in Japan, B. Seismol. Soc. Am., 111, 951–974, https://doi.org/10.1785/0120200257, 2021.
Hayes, G. P., Moore, G. L., Portner, D. E., Hearne, M., Flamme, H., Furtney, M., and Smoczyk, G. M.: Slab2, a comprehensive subduction zone geometry model, Science, 362, 58–61, https://doi.org/10.1126/science.aat4723, 2018.
Ivan, I. A., Enescu, B. D., and Pantea, A.: Input for seismic hazard assessment using Vrancea source region, Rom. J. Phys., 43, 619–636, 1998.
Kale, Ö., Akkar, S., Ansari, A., and Hamzehloo, H.: A Ground-Motion Predictive Model for Iran and Turkey for Horizontal PGA, PGV, and 5 % Damped Response Spectrum: Investigation of Possible Regional Effects, B. Seismol. Soc. Am., 105, 963–980, https://doi.org/10.1785/0120140134, 2015.
Kotha, S. R.: From a Regionalized Ground-Motion Model for Europe and Middle-East to Site-specific Seismic Hazard Assessments in Low-to-Moderate Seismicity Regions, SIGMA 2 Deliverable, SIGMA2-2019-D3-029/1, https://www.sigma-2.net/medias/files/sigma2-2019-d3-029-1-deliverable-3.2.2-approved-public--1.pdf (last access: May 2024), 2020.
Kotha, S. R. and Traversa, P.: A Bayesian update of Kotha et al. (2020) ground-motion model using Résif dataset, Bull. Earthquake. Eng., 22, 2267–2293, https://doi.org/10.1007/s10518-023-01853-1, 2024.
Kotha, S. R., Bindi, D., and Cotton, F.: Partially non-ergodic region specific GMPE for Europe and Middle-East, B. Earthq. Eng., 14, 1245–1263, https://doi.org/10.1007/s10518-016-9875-x, 2016.
Kotha, S. R., Weatherill, G., Bindi, D., and Cotton, F.: A regionally-adaptable ground-motion model for shallow crustal earthquakes in Europe, B. Earthq. Eng., 18, 4091–4125, https://doi.org/10.1007/s10518-020-00869-1, 2020.
Kotha, S. R., Weatherill, G., Bindi, D., and Cotton, F.: Near-source magnitude scaling of spectral accelerations: analysis and update of Kotha et al. (2020) model, B. Earthq. Eng., 20, 1343–1370, https://doi.org/10.1007/s10518-021-01308-5, 2022.
Kowsari, M., Halldorsson, B., Hrafnkelsson, B., Snæbjörnsson, J. Þ., and Jónsson, S.: Calibration of ground motion models to Icelandic peak ground acceleration data using Bayesian Markov Chain Monte Carlo simulation, B. Earthq. Eng., 17, 2841–2870, https://doi.org/10.1007/s10518-019-00569-5, 2019.
Kowsari, M., Sonnemann, T., Halldorsson, B., Hrafnkelsson, B., Snæbjörnsson, J. Þ., and Jónsson, S.: Bayesian inference of empirical ground motion models to pseudo-spectral accelerations of south Iceland seismic zone earthquakes based on informative priors, Soil Dyn. Earthq. Eng., 132, 106075, https://doi.org/10.1016/j.soildyn.2020.106075, 2020.
Kowsari, M., Ghasemi, S., Bayat, F., and Halldorsson, B.: A backbone seismic ground motion model for strike-slip earthquakes in Southwest Iceland and its implications for near- and far-field PSHA, B. Earthq. Eng., 21, 715–738, https://doi.org/10.1007/s10518-022-01556-z, 2023.
Kuehn, N.: A comparison of nonergodic ground-motion models based on geographically weighted regression and the integrated nested laplace approximation, B. Earthq. Eng., 21, 27–52, https://doi.org/10.1007/s10518-022-01443-7, 2023.
Kuehn, N., Bozorgnia, Y., Campbell, K., and Gregor, N.: Partially Non-Ergodic Ground-Motion Model for Subduction Regions using the NGA Subduction Database, Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, https://doi.org/10.55461/NZZW1930, 2020.
Kuehn, N. M. and Scherbaum, F.: A partially non-ergodic ground-motion prediction equation for Europe and the Middle East, B. Earthq. Eng., 14, 2629–2642, https://doi.org/10.1007/s10518-016-9911-x, 2016.
Landwehr, N., Kuehn, N. M., Scheffer, T., and Abrahamson, N.: A Nonergodic Ground-Motion Model for California with Spatially Varying Coefficients, B. Seismol. Soc. Am., 106, 2574–2583, https://doi.org/10.1785/0120160118, 2016.
Lanzano, G., Luzi, L., Russo, E., Felicetta, C., D'Amico, M. C., Sgobba, S., and Pacor, F.: Engineering Strong Motion Database (ESM) flatfile [Data set], INGV – Istituto Nazionale di Geofisica e Vulcanologia [data set], https://doi.org/10.13127/esm/flatfile.1.0, 2018.
Lanzano, G., Sgobba, S., Luzi, L., Puglia, R., Pacor, F., Felicetta, C., D'Amico, M., Cotton, F., and Bindi, D.: The pan-European Engineering Strong Motion (ESM) flatfile: compilation criteria and data statistics, B. Earthq. Eng., 17, 561–582, https://doi.org/10.1007/s10518-018-0480-z, 2019.
Lanzano, G., Luzi, L., D'Amico, V., Pacor, F., Meletti, C., Marzocchi, W., Rotondi, R., and Varini, E.: Ground motion models for the new seismic hazard model of Italy (MPS19): selection for active shallow crustal regions and subduction zones, B. Earthq. Eng., 18, 3487–3516, https://doi.org/10.1007/s10518-020-00850-y, 2020.
Lanzano, G., Sgobba, S., Caramenti, L., and Menafoglio, A.: Ground-Motion Model for Crustal Events in Italy by Applying the Multisource Geographically Weighted Regression (MS-GWR) Method, B. Seismol. Soc. Am., 111, 3297–3313, https://doi.org/10.1785/0120210044, 2021.
Lavrentiadis, G., Abrahamson, N. A., and Kuehn, N. M.: A non-ergodic effective amplitude ground-motion model for California, B. Earthq. Eng., 21, 5233–5264, https://doi.org/10.1007/s10518-021-01206-w, 2023a.
Lavrentiadis, G., Abrahamson, N. A., Kuehn, N. M., Bozorgnia, Y., Goulet, C. A., Babic, A., Macedo, J., Dolsek, M., Gregor, N., Kottke, A. R., Lacour, M., Liu, C., Meng, X., Phung, V.-B., Sung, C.-H., and Walling, M.: Overview and introduction to development of non-ergodic ground motion models, Bull. Earthq. Eng., 21, 5121–5150, https://doi.org/10.1007/s10518-022-01485-x, 2023b.
Lee, R. L., Bradley, B. A., Stafford, P. J., Graves, R. W., and Rodriguez-Marek, A.: Hybrid broadband ground-motion simulation validation of small magnitude active shallow crustal earthquakes in New Zealand, Earthq. Spectra, 38, 2548–2579, https://doi.org/10.1177/87552930221109297, 2022.
Lin, P.-S. and Lee, C.-T.: Ground-Motion Attenuation Relationships for Subduction-Zone Earthquakes in Northeastern Taiwan, B. Seismol. Soc. Am., 98, 220–240, https://doi.org/10.1785/0120060002, 2008.
Lucazeau, F.: Analysis and Mapping of an Updated Terrestrial Heat Flow Data Set, Geochem. Geophy. Geosy., 20, 4001–4024, https://doi.org/10.1029/2019GC008389, 2019.
Luzi, L., Lanzano, G., Felicetta, C., D'Amico, M. C., Russo, E., Sgobba, S., Pacor, F., and ORFEUS Working Group: Engineering Strong Motion Database (ESM) (Version 2.0), https://doi.org/10.13127/ESM.2, 2020.
Maechling, P. J., Silva, F., Callaghan, S., and Jordan, T. H.: SCEC Broadband Platform: System Architecture and Software Implementation, Seismol. Res. Lett., 86, 27–38, https://doi.org/10.1785/0220140125, 2015.
Mak, S., Clements, R. A., and Schorlemmer, D.: Empirical Evaluation of Hierarchical Ground-Motion Models: Score Uncertainty and Model Weighting, B. Seismol. Soc. Am., 107, 949–965, https://doi.org/10.1785/0120160232, 2017.
Manea, E. F., Cioflan, C. O., and Danciu, L.: Ground-motion models for Vrancea intermediate-depth earthquakes, Earthq. Spectra, 38, 407–431, https://doi.org/10.1177/87552930211032985, 2022.
Mayor, J., Traversa, P., Calvet, M., and Margerin, L.: Tomography of crustal seismic attenuation in Metropolitan France: implications for seismicity analysis, B. Earthq. Eng., 16, 2195–2210, https://doi.org/10.1007/s10518-017-0124-8, 2018.
Miller, A. C. and Rice, T. R.: Discrete Approximations of Probability Distributions, Manage. Sci., 29, 352–362, 1983.
Mitchell, B. J., Cong, L., and Ekström, G.: A continent-wide map of 1-Hz Lg coda Q variation across Eurasia and its relation for lithospheric evolution, J. Geophys. Res., 113, B04303, https://doi.org/10.1029/2007JB005065, 2008.
Montalva, G. A., Bastías, N., and Rodriguez-Marek, A.: Ground-Motion Prediction Equation for the Chilean Subduction Zone, B. Seismol. Soc. Am., 107, 901–911, https://doi.org/10.1785/0120160221, 2017.
Mooney, W. D., Ritsema, J., and Hwang, Y. K.: Crustal seismicity and the earthquake catalog maximum moment magnitude M_cmax in stable continental regions (SCRs): Correlation with the seismic velocity of the lithosphere, Earth Planet. Sc. Lett., 357–358, 78–83, 2012.
Mosca, I., Sargeant, S., Baptie, B., Musson, R. M. W., and Pharaoh, T. C.: The 2020 national seismic hazard model for the United Kingdom, B. Earthq. Eng., 20, 633–675, https://doi.org/10.1007/s10518-021-01281-z, 2022.
Ornthammarath, T., Douglas, J., Sigbjörnsson, R., and Lai, C. G.: Assessment of ground motion variability and its effects on seismic hazard analysis: a case study for iceland, B. Earthq. Eng., 9, 931–953, https://doi.org/10.1007/s10518-011-9251-9, 2011.
Pacor, F., Felicetta, C., Lanzano, G., Sgobba, S., Puglia, R., D'Amico, M., Russo, E., Baltzopoulos, G., and Iervolino, I.: NESS1: A Worldwide Collection of Strong-Motion Data to Investigate Near-Source Effects, Seismol. Res. Lett., 89, 2299–2313, https://doi.org/10.1785/0220180149, 2018.
Pagani, M., Monelli, D., Weatherill, G., Danciu, L., Crowley, H., Silva, V., Henshaw, P., Butler, L., Nastasi, M., Panzeri, L., Simionato, M., and Vigano, D.: OpenQuake Engine: An Open Hazard (and Risk) Software for the Global Earthquake Model, Seismol. Res. Lett., 85, 692–702, https://doi.org/10.1785/0220130087, 2014.
Pagani, M., Garcia-Pelaez, J., Gee, R., Johnson, K., Poggi, V., Silva, V., Simionato, M., Styron, R., Viganò, D., Danciu, L., Monelli, D., and Weatherill, G.: The 2018 version of the Global Earthquake Model: Hazard component, Earthq. Spectra, 36, 226–251, https://doi.org/10.1177/8755293020931866, 2020.
Paolucci, R., Mazzieri, I., Smerzini, C., and Stupazzini, M.: Physics-Based Earthquake Ground Shaking Scenarios in Large Urban Areas, in: Perspectives on European Earthquake Engineering and Seismology, vol. 34, edited by: Ansal, A., Springer International Publishing, Cham, 331–359, https://doi.org/10.1007/978-3-319-07118-3_10, 2014.
Paolucci, R., Smerzini, C., and Vanini, M.: BB‐SPEEDset: A Validated Dataset of Broadband Near‐Source Earthquake Ground Motions from 3D Physics‐Based Numerical Simulations, Bull. Seismol. Soc. Am., 111, 2527–2545, https://doi.org/10.1785/0120210089, 2021.
Parker, G. A., Stewart, J. P., Boore, D. M., Atkinson, G. M., and Hassani, B.: NGA-subduction global ground motion models with regional adjustment factors, Earthq. Spectra, 38, 456–493, https://doi.org/10.1177/87552930211034889, 2022.
Pavel, F., Vacareanu, R., Douglas, J., Radulian, M., Cioflan, C., and Barbat, A.: An Updated Probabilistic Seismic Hazard Assessment for Romania and Comparison with the Approach and Outcomes of the SHARE Project, Pure Appl. Geophys., 173, 1881–1905, https://doi.org/10.1007/s00024-015-1223-6, 2016.
Pezeshk, S., Zandieh, A., and Tavakoli, B.: Hybrid Empirical Ground-Motion Prediction Equations for Eastern North America Using NGA Models and Updated Seismological Parameters, B. Seismol. Soc. Am., 101, 1859–1870, https://doi.org/10.1785/0120100144, 2011.
Razafindrakoto, H. N. T., Cotton, F., Bindi, D., Pilz, M., Graves, R. W., and Bora, S.: Regional Calibration of Hybrid Ground-Motion Simulations in Moderate Seismicity Areas: Application to the Upper Rhine Graben, B. Seismol. Soc. Am., 111, 1422–1444, https://doi.org/10.1785/0120200287, 2021.
RESORCE: RESORCE, reference database for seismic ground-motion prediction in Europe, https://www.resorce-portal.eu/ (last access: May 2024), 2024.
Rovida, A., Antonucci, A., and Locati, M.: The European Preinstrumental Earthquake Catalogue EPICA, the 1000–1899 catalogue for the European Seismic Hazard Model 2020, Earth Syst. Sci. Data, 14, 5213–5231, https://doi.org/10.5194/essd-14-5213-2022, 2022.
Salvatier, J., Wiecki, T. V., and Fonnesbeck, C.: Probabilistic programming in Python using PyMC3, PeerJ Computer Science, 2, e55, https://doi.org/10.7717/peerj-cs.55, 2016.
Scherbaum, F., Delavaud, E., and Riggelsen, C.: Model Selection in Seismic Hazard Analysis: An Information-Theoretic Perspective, B. Seismol. Soc. Am., 99, 3234–3247, https://doi.org/10.1785/0120080347, 2009.
Schiappapietra, E., Felicetta, C., and D'Amico, M.: Fling-Step Recovering from Near-Source Waveforms Database, Geosciences, 11, 67, https://doi.org/10.3390/geosciences11020067, 2021.
Seyhan, E. and Stewart, J. P.: Semi-Empirical Nonlinear Site Amplification from NGA-West2 Data and Simulations, Earthq. Spectra, 30, 1241–1256, https://doi.org/10.1193/063013EQS181M, 2014.
Sgobba, S., Felicetta, C., Lanzano, G., Ramadan, F., D'Amico, M., and Pacor, F.: NESS2.0: An Updated Version of the Worldwide Dataset for Calibrating and Adjusting Ground-Motion Models in Near Source, B. Seismol. Soc. Am., 111, 2358–2378, https://doi.org/10.1785/0120210080, 2021.
Si, H., Midorikawa, S., and Kishida, T.: Development of NGA-Sub ground-motion prediction equation of 5%-damped pseudo-spectral acceleration based on database of subduction earthquakes in Japan, Earthq. Spectra, 38, 2682–2706, https://doi.org/10.1177/87552930221090326, 2022.
Sigbjörnsson, R., Snæbjörnsson, J. Th., Higgins, S. M., Halldórsson, B., and Ólafsson, S.: A note on the Mw 6.3 earthquake in Iceland on 29 May 2008 at 15:45 UTC, B. Earthq. Eng., 7, 113–126, https://doi.org/10.1007/s10518-008-9087-0, 2009.
Silva, V.: Critical Issues in Earthquake Scenario Loss Modeling, J. Earthq. Eng., 20, 1322–1341, https://doi.org/10.1080/13632469.2016.1138172, 2016.
Silva, V., Amo-Oduro, D., Calderon, A., Costa, C., Dabbeek, J., Despotaki, V., Martins, L., Pagani, M., Rao, A., Simionato, M., Viganò, D., Yepes-Estrada, C., Acevedo, A., Crowley, H., Horspool, N., Jaiswal, K., Journeay, M., and Pittore, M.: Development of a global seismic risk model, Earthq. Spectra, 36, 372–394, https://doi.org/10.1177/8755293019899953, 2020.
Skarlatoudis, A. A., Papazachos, C. B., Margaris, B. N., Ventouzi, C., Kalogeras, I., and the EGELADOS Group: Ground-Motion Prediction Equations of Intermediate-Depth Earthquakes in the Hellenic Arc, Southern Aegean Subduction Area, B. Seismol. Soc. Am., 103, 1952–1968, https://doi.org/10.1785/0120120265, 2013.
Sokolov, V., Bonjer, K.-P., Wenzel, F., Grecu, B., and Radulian, M.: Ground-motion prediction equations for the intermediate depth Vrancea (Romania) earthquakes, B. Earthq. Eng., 6, 367–388, https://doi.org/10.1007/s10518-008-9065-6, 2008.
Stafford, P. J.: Continuous integration of data into ground-motion models using Bayesian updating, J. Seismol., 23, 39–57, https://doi.org/10.1007/s10950-018-9792-3, 2019.
Stafford, P. J., Strasser, F. O., and Bommer, J. J.: An evaluation of the applicability of the NGA models to ground-motion prediction in the Euro-Mediterranean region, B. Earthq. Eng., 6, 149–177, https://doi.org/10.1007/s10518-007-9053-2, 2008.
Stewart, J. P., Parker, G. A., Atkinson, G. M., Boore, D. M., Hashash, Y. M. A., and Silva, W. J.: Ergodic site amplification model for central and eastern North America, Earthq. Spectra, 36, 42–68, https://doi.org/10.1177/8755293019878185, 2020.
Sung, C.-H., Abrahamson, N. A., Kuehn, N. M., Traversa, P., and Zentner, I.: A non-ergodic ground-motion model of Fourier amplitude spectra for France, B. Earthq. Eng., 21, 5293–5317, https://doi.org/10.1007/s10518-022-01403-1, 2023.
Traversa, P., Maufroy, E., Hollender, F., Perron, V., Bremaud, V., Shible, H., Drouet, S., Guéguen, P., Langlais, M., Wolyniec, D., Péquegnat, C., and Douste-Bacque, I.: RESIF RAP and RLBP Dataset of Earthquake Ground Motion in Mainland France, Seismol. Res. Lett., 91, 2409–2424, https://doi.org/10.1785/0220190367, 2020.
Vacareanu, R., Radulian, M., Iancovici, M., Pavel, F., and Neagu, C.: Fore-Arc and Back-Arc Ground Motion Prediction Model for Vrancea Intermediate Depth Seismic Source, J. Earthq. Eng., 19, 535–562, https://doi.org/10.1080/13632469.2014.990653, 2015.
Van Houtte, C., Drouet, S., and Cotton, F.: Analysis of the Origins of (Kappa) to Compute Hard Rock to Rock Adjustment Factors for GMPEs, B. Seismol. Soc. Am., 101, 2926–2941, https://doi.org/10.1785/0120100345, 2011.
Vilanova, S. P., Fonseca, J. F. B. D., and Oliveira, C. S.: Ground-Motion Models for Seismic-Hazard Assessment in Western Iberia: Constraints from Instrumental Data and Intensity Observations, B. Seismol. Soc. Am., 102, 169–184, https://doi.org/10.1785/0120110097, 2012.
Wald, D. J., and Allen, T. I.: Topographic Slope as a Proxy for Seismic Site Conditions and Amplification. B. Seismol. Soc. Am., 97, 1379–1395, https://doi.org/10.1785/0120060267, 2007.
Weatherill, G.: eshm20_gmms, GitLab [code], https://gitlab.seismo.ethz.ch/efehr/eshm20_gmms (last access: May 2024), 2024.
Weatherill, G. and Cotton, F.: A ground motion logic tree for seismic hazard analysis in the stable cratonic region of Europe: regionalisation, model selection and development of a scaled backbone approach, B. Earthq. Eng., 18, 6119–6148, https://doi.org/10.1007/s10518-020-00940-x, 2020.
Weatherill, G., Bindi, D., Cotton, F., Danciu, L., and Luzi, L.: Building a New Ground Motion Logic Tree for Europe: Needs, Challenges and New Opportunities from European Seismological Data, in: Proceedings of the 16th European Conference on Earthquake Engineering, 18–21 June 2018, Thessaloniki, 2018.
Weatherill, G., Kotha, S. R., and Cotton, F.: A regionally-adaptable “scaled backbone” ground motion logic tree for shallow seismicity in Europe: application to the 2020 European seismic hazard model, B. Earthq. Eng., 18, 5087–5117, https://doi.org/10.1007/s10518-020-00899-9, 2020.
Weatherill, G. A., Crowley, H., Roullé, A., Tourlière, B., Lemoine, A., Gracianne Hidalgo, C., Kotha, S. R., Cotton, F., and Dabbeek, J.: European Site Response Model Datasets Viewer (v1.0), https://maps.eu-risk.eucentre.it/map/european-site-response-model-datasets/#4/53.96/4.57 (last access: May 2024), 2021.
Weatherill, G., Crowley, H., Roullé, A., Tourlière, B., Lemoine, A., Gracianne, C., Kotha, S.-R., and Cotton, F.: Modelling site response at regional scale for the 2020 European Seismic Risk Model (ESRM20), B. Earthq. Eng., 21, 665–714, https://doi.org/10.1007/s10518-022-01526-5, 2023.
Weatherill, G. A. and Danciu, L.: Regional variation of spectral parameters for seismic design from broadband probabilistic seismic hazard analysis, Earthquake Engineering and Structural Dynamics, 47, 2447–2467, https://doi.org/10.1002/eqe.3092, 2018.
Woessner, J., Danciu, L., Giardini, D., Crowley, H., Cotton, F., Grünthal, G., Valensise, G., Arvidsson, R., Basili, R., Demicioglu, M. B., Hiemer, S., Meletti, C., Musson, R. W., Rovida, A. N., Sesetyan, K., Stucchi, M., and the SHARE Consortium: The 2013 European Seismic Hazard Model: key components and results, B. Earthq. Eng., 13, 3553–3596, https://doi.org/10.1007/s10518-015-9795-1, 2015.
Youngs, R. R., Chiou, B. S.-J., Silva, W. J., and Humphrey, J. R.: Strong Ground Motion Attenuation Relationships for Subduction Zone Earthquakes, Seismol. Res. Lett., 68, 58–73, 1997.
Zhao, J. X.: Attenuation Relations of Strong Ground Motion in Japan Using Site Classification Based on Predominant Period, B. Seismol. Soc. Am., 96, 898–913, https://doi.org/10.1785/0120050122, 2006.
Zhao, J. X., Zhou, S., Zhou, J., Zhao, C., Zhang, H., Zhang, Y., Gao, P., Lan, X., Rhoades, D., Fukushima, Y., Somerville, P. G., and Irikura, K.: Ground-Motion Prediction Equations for Shallow Crustal and Upper-Mantle Earthquakes in Japan Using Site Class and Simple Geometric Attenuation Functions, B. Seismol. Soc. Am., 106, 1552–1569, https://doi.org/10.1785/0120150063, 2016a.
Zhao, J. X., Liang, X., Jiang, F., Xing, H., Zhu, M., Hou, R., Zhang, Y., Lan, X., Rhoades, D. A., Irikura, K., Fukushima, Y., and Somerville, P. G.: Ground-Motion Prediction Equations for Subduction Interface Earthquakes in Japan Using Site Class and Simple Geometric Attenuation Functions, B. Seismol. Soc. Am., 106, 1518–1534, https://doi.org/10.1785/0120150034, 2016b.
Zhao, J. X., Jiang, F., Shi, P., Xing, H., Huang, H., Hou, R., Zhang, Y., Yu, P., Lan, X., Rhoades, D. A., Somerville, P., Irikura, K., and Fukushima, Y.: Ground-Motion Prediction Equations for Subduction Slab Earthquakes in Japan Using Site Class and Simple Geometric Attenuation Functions, B. Seismol. Soc. Am., 106, 1535–1551, https://doi.org/10.1785/0120150056, 2016c.
Short summary
The ground motion models (GMMs) selected for the 2020 European Seismic Hazard Model (ESHM20) and their uncertainties require adaptation to different tectonic environments. Using insights from new data, local experts and developments in the scientific literature, we further calibrate the ESHM20 GMM logic tree to capture previously unmodelled regional variation. We also propose a new scaled-backbone logic tree for application to Europe's subduction zones and the Vrancea deep seismic source.
The ground motion models (GMMs) selected for the 2020 European Seismic Hazard Model (ESHM20) and...
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