Articles | Volume 24, issue 2
https://doi.org/10.5194/nhess-24-583-2024
© 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-24-583-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Review article
| 
16 Feb 2024
Review article |
| 16 Feb 2024
| 16 Feb 2024
Towards a dynamic earthquake risk framework for Switzerland
Maren Böse
CORRESPONDING AUTHOR
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Laurentiu Danciu
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Athanasios Papadopoulos
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
John Clinton
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Carlo Cauzzi
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Irina Dallo
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Leila Mizrahi
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Tobias Diehl
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Paolo Bergamo
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Yves Reuland
Institute of Structural Engineering (IBK), ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland
Andreas Fichtner
Seismology and Wave Physics (SWP), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Philippe Roth
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Florian Haslinger
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Frédérick Massin
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Nadja Valenzuela
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Nikola Blagojević
Institute of Structural Engineering (IBK), ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland
Lukas Bodenmann
Institute of Structural Engineering (IBK), ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland
Eleni Chatzi
Institute of Structural Engineering (IBK), ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland
Donat Fäh
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Franziska Glueer
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Marta Han
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Lukas Heiniger
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Paulina Janusz
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Dario Jozinović
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Philipp Kästli
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Federica Lanza
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Timothy Lee
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Panagiotis Martakis
Institute of Structural Engineering (IBK), ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland
Michèle Marti
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Men-Andrin Meier
Seismology and Geodynamics (SEG), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Banu Mena Cabrera
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Maria Mesimeri
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Anne Obermann
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Pilar Sanchez-Pastor
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Luca Scarabello
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Nicolas Schmid
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Anastasiia Shynkarenko
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Bozidar Stojadinović
Institute of Structural Engineering (IBK), ETH Zurich, Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland
Domenico Giardini
Seismology and Geodynamics (SEG), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
Stefan Wiemer
Swiss Seismological Service (SED), ETH Zurich, Sonneggstrasse 5, 8092 Zurich, Switzerland
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Valentin Samuel Gischig, Antonio Pio Rinaldi, Andres Alcolea, Falko Bethman, Marco Broccardo, Kai Erich Norbert Bröker, Raymi Castilla, Federico Ciardo, Victor Clasen Repollés, Virginie Durand, Nima Gholizadeh Doonechaly, Marian Hertrich, Rebecca Hochreutener, Philipp Kästli, Dimitrios Karvounis, Xiaodong Ma, Men-Andrin Meier, Peter Meier, Maria Mesimeri, Arnaud Mignan, Anne Obermann, Katrin Plenkers, Martina Rosskopf, Francisco Serbeto, Paul Antony Selvadurai, Alexis Shakas, Linus Villiger, Quinn Wenning, Alba Zappone, Jordan Aaron, Hansruedi Maurer, and Domenico Giardini
EGUsphere, https://doi.org/10.5194/egusphere-2024-3882, https://doi.org/10.5194/egusphere-2024-3882, 2025
This preprint is open for discussion and under review for Solid Earth (SE).
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Induced earthquakes present a major obstacle for developing geoenergy resources. These occur during hydraulic stimulations that enhance fluid pathways in the rock. In the Bedretto Underground Laboratory, hydraulic stimulations are investigated in a downscaled manner. A workflow to analyse the hazard of induced earthquakes is applied at different stages of the test program. The hazard estimates illustrate the difficulty to reduce the uncertainty owing to the variable seismogenic responses.
Elena F. Manea, Laurentiu Danciu, Carmen O. Cioflan, Dragos Toma-Danila, and Matthew C. Gerstenberger
Nat. Hazards Earth Syst. Sci., 25, 1–12, https://doi.org/10.5194/nhess-25-1-2025, https://doi.org/10.5194/nhess-25-1-2025, 2025
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We test and evaluate the results of the 2020 European Seismic Hazard Model (ESHM20) against observations spanning a few centuries at 12 cities in Romania. The full distributions of the hazard curves at the given locations were considered, and the testing was performed 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.
Ana Fernandez-Navamuel, Nicolas Gorostidi, David Pardo, Vincenzo Nava, and Eleni Chatzi
Wind Energ. Sci. Discuss., https://doi.org/10.5194/wes-2024-160, https://doi.org/10.5194/wes-2024-160, 2024
Revised manuscript under review for WES
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This work employs Deep Neural Networks to identify damage in the mooring system of a Floating Offshore Wind Turbine (FOWT) using measurements from the platform response. We account for the effect of uncertainty in the assessment estimates caused by the existence of multiple solutions (different damage scenarios can cause the observed data). We describe the damage condition features using a distributional model based on a Gaussian Mixture, which captures the uncertainty in the predictions.
Roberto Basili, Laurentiu Danciu, Céline Beauval, Karin Sesetyan, Susana Pires Vilanova, Shota Adamia, Pierre Arroucau, Jure Atanackov, Stéphane 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., 24, 3945–3976, https://doi.org/10.5194/nhess-24-3945-2024, https://doi.org/10.5194/nhess-24-3945-2024, 2024
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This study presents the European Fault-Source Model 2020 (EFSM20), a dataset of 1248 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.
Emma Pearce, Dimitri Zigone, Coen Hofstede, Andreas Fichtner, Joachim Rimpot, Sune Olander Rasmussen, Johannes Freitag, and Olaf Eisen
The Cryosphere, 18, 4917–4932, https://doi.org/10.5194/tc-18-4917-2024, https://doi.org/10.5194/tc-18-4917-2024, 2024
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Our study near EastGRIP camp in Greenland shows varying firn properties by direction (crucial for studying ice stream stability, structure, surface mass balance, and past climate conditions). We used dispersion curve analysis of Love and Rayleigh waves to show firn is nonuniform along and across the flow of an ice stream due to wind patterns, seasonal variability, and the proximity to the edge of the ice stream. This method better informs firn structure, advancing ice stream understanding.
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
Nat. Hazards Earth Syst. Sci., 24, 3561–3578, https://doi.org/10.5194/nhess-24-3561-2024, https://doi.org/10.5194/nhess-24-3561-2024, 2024
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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.
Sandro Truttmann, Tobias Diehl, Marco Herwegh, and Stefan Wiemer
EGUsphere, https://doi.org/10.5194/egusphere-2024-2975, https://doi.org/10.5194/egusphere-2024-2975, 2024
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Our study investigates the statistical relationship between geological faults and earthquakes in the Southwestern Swiss Alps. We analyze how the fault size and earthquake rupture are related and find differences in how faults at different depths rupture seismically. While shallow faults tend to rupture only partially, deeper faults are more likely to rupture along their entire length, potentially resulting in larger earthquakes.
Laurentiu Danciu, Domenico Giardini, Graeme Weatherill, Roberto Basili, Shyam Nandan, Andrea Rovida, Céline Beauval, Pierre-Yves Bard, Marco Pagani, Celso G. Reyes, Karin Sesetyan, Susana Vilanova, Fabrice Cotton, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 3049–3073, https://doi.org/10.5194/nhess-24-3049-2024, https://doi.org/10.5194/nhess-24-3049-2024, 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 references in the next update of the European Seismic Design Code (CEN EC8), and it also provides a key input to the first earthquake risk model for Europe.
Peter Achtziger-Zupančič, Alberto Ceccato, Alba Simona Zappone, Giacomo Pozzi, Alexis Shakas, Florian Amann, Whitney Maria Behr, Daniel Escallon Botero, Domenico Giardini, Marian Hertrich, Mohammadreza Jalali, Xiaodong Ma, Men-Andrin Meier, Julian Osten, Stefan Wiemer, and Massimo Cocco
Solid Earth, 15, 1087–1112, https://doi.org/10.5194/se-15-1087-2024, https://doi.org/10.5194/se-15-1087-2024, 2024
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We detail the selection and characterization of a fault zone for earthquake experiments in the Fault Activation and Earthquake Ruptures (FEAR) project at the Bedretto Lab. FEAR, which studies earthquake processes, overcame data collection challenges near faults. The fault zone in Rotondo granite was selected based on geometry, monitorability, and hydro-mechanical properties. Remote sensing, borehole logging, and geological mapping were used to create a 3D model for precise monitoring.
Kathrin Behnen, Marian Hertrich, Hansruedi Maurer, Alexis Shakas, Kai Bröker, Claire Epiney, María Blanch Jover, and Domenico Giardini
EGUsphere, https://doi.org/10.5194/egusphere-2024-1919, https://doi.org/10.5194/egusphere-2024-1919, 2024
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Several crosshole seismic surveys in the undisturbed Rotondo granite are used to analyze the seismic anisotropy in the BedrettoLab in the Swiss alps. The P- and S1-waves show a clear trend of faster velocities in NE-SW direction and slower velocities perpendicular to it. This pattern describes a tilted transverse isotropic velocity model. The symmetry plane is mostly aligned with the direction of maximum stress but also the orientation of fractures are expected to influence the wave velocities.
Konstantinos Trevlopoulos, Pierre Gehl, Caterina Negulescu, Helen Crowley, and Laurentiu Danciu
Nat. Hazards Earth Syst. Sci., 24, 2383–2401, https://doi.org/10.5194/nhess-24-2383-2024, https://doi.org/10.5194/nhess-24-2383-2024, 2024
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The models used to estimate the probability of exceeding a level of earthquake damage are essential to the reduction of disasters. These models consist of components that may be tested individually; however testing these types of models as a whole is challenging. Here, we use observations of damage caused by the 2019 Le Teil earthquake and estimations from other models to test components of seismic risk models.
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.
Graeme Weatherill, Sreeram Reddy Kotha, Laurentiu Danciu, Susana Vilanova, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 24, 1795–1834, https://doi.org/10.5194/nhess-24-1795-2024, https://doi.org/10.5194/nhess-24-1795-2024, 2024
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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.
Janneke van Ginkel, Fabian Walter, Fabian Lindner, Miroslav Hallo, Matthias Huss, and Donat Fäh
EGUsphere, https://doi.org/10.5194/egusphere-2024-646, https://doi.org/10.5194/egusphere-2024-646, 2024
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This study on Glacier de la Plaine Morte in Switzerland employs various passive seismic analysis methods to identify complex hydraulic behaviours at the ice-bedrock interface. In 4 months of seismic records, we detect spatiotemporal variations in the glacier's basal interface, following the drainage of an ice-marginal lake. We identify a low-velocity layer, whose properties are determined using modeling techniques. This low-velocity layer results from temporary water storage within the glacier.
Yuriy Marykovskiy, Thomas Clark, Justin Day, Marcus Wiens, Charles Henderson, Julian Quick, Imad Abdallah, Anna Maria Sempreviva, Jean-Paul Calbimonte, Eleni Chatzi, and Sarah Barber
Wind Energ. Sci., 9, 883–917, https://doi.org/10.5194/wes-9-883-2024, https://doi.org/10.5194/wes-9-883-2024, 2024
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This paper delves into the crucial task of transforming raw data into actionable knowledge which can be used by advanced artificial intelligence systems – a challenge that spans various domains, industries, and scientific fields amid their digital transformation journey. This article underscores the significance of cross-industry collaboration and learning, drawing insights from sectors leading in digitalisation, and provides strategic guidance for further development in this area.
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.
Marta Han, Leila Mizrahi, and Stefan Wiemer
EGUsphere, https://doi.org/10.5194/egusphere-2023-3153, https://doi.org/10.5194/egusphere-2023-3153, 2024
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Relying on recent accomplishments in collecting and harmonizing data by the 2020 European Seismic Hazard Model (ESHM20) and leveraging advancements in state-of-the-art earthquake forecasting methods, we develop a harmonized earthquake forecasting model for Europe. We propose several model variants and test them on training data for consistency and on a seven-year testing period against each other, as well as against both a time-independent benchmark and a global time-dependent benchmark.
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.
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.
Christophe Lienert, Franziska Angly Bieri, Irina Dallo, and Michèle Marti
Abstr. Int. Cartogr. Assoc., 5, 154, https://doi.org/10.5194/ica-abs-5-154-2022, https://doi.org/10.5194/ica-abs-5-154-2022, 2022
Sarah Barber, Julien Deparday, Yuriy Marykovskiy, Eleni Chatzi, Imad Abdallah, Gregory Duthé, Michele Magno, Tommaso Polonelli, Raphael Fischer, and Hanna Müller
Wind Energ. Sci., 7, 1383–1398, https://doi.org/10.5194/wes-7-1383-2022, https://doi.org/10.5194/wes-7-1383-2022, 2022
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Aerodynamic and acoustic field measurements on operating large-scale wind turbines are key for the further reduction in the costs of wind energy. In this work, a novel cost-effective MEMS (micro-electromechanical systems)-based aerodynamic and acoustic wireless measurement system that is thin, non-intrusive, easy to install, low power and self-sustaining is designed and tested.
Xiaodong Ma, Marian Hertrich, Florian Amann, Kai Bröker, Nima Gholizadeh Doonechaly, Valentin Gischig, Rebecca Hochreutener, Philipp Kästli, Hannes Krietsch, Michèle Marti, Barbara Nägeli, Morteza Nejati, Anne Obermann, Katrin Plenkers, Antonio P. Rinaldi, Alexis Shakas, Linus Villiger, Quinn Wenning, Alba Zappone, Falko Bethmann, Raymi Castilla, Francisco Seberto, Peter Meier, Thomas Driesner, Simon Loew, Hansruedi Maurer, Martin O. Saar, Stefan Wiemer, and Domenico Giardini
Solid Earth, 13, 301–322, https://doi.org/10.5194/se-13-301-2022, https://doi.org/10.5194/se-13-301-2022, 2022
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Questions on issues such as anthropogenic earthquakes and deep geothermal energy developments require a better understanding of the fractured rock. Experiments conducted at reduced scales but with higher-resolution observations can shed some light. To this end, the BedrettoLab was recently established in an existing tunnel in Ticino, Switzerland, with preliminary efforts to characterize realistic rock mass behavior at the hectometer scale.
Mauro Häusler, Paul Richmond Geimer, Riley Finnegan, Donat Fäh, and Jeffrey Ralston Moore
Earth Surf. Dynam., 9, 1441–1457, https://doi.org/10.5194/esurf-9-1441-2021, https://doi.org/10.5194/esurf-9-1441-2021, 2021
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Natural rock arches are valued landmarks worldwide. As ongoing erosion can lead to rockfall and collapse, it is important to monitor the structural integrity of these landforms. One suitable technique involves measurements of resonance, produced when mainly natural sources, such as wind, vibrate the spans. Here we explore the use of two advanced processing techniques to accurately measure the resonant frequencies, damping ratios, and deflection patterns of several rock arches in Utah, USA.
Mario Arroyo-Solórzano, Diego Castro-Rojas, Frédérick Massin, Lepolt Linkimer, Ivonne Arroyo, and Robin Yani
Solid Earth, 12, 2127–2144, https://doi.org/10.5194/se-12-2127-2021, https://doi.org/10.5194/se-12-2127-2021, 2021
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We present the first seismic noise variation levels during COVID-19 in Central America using 10 seismometers. We study the impact of the seismic noise reduction on the detectability of earthquakes and on the felt reports. Our results show maximum values (~50 % decrease) at seismic stations near airports and densely inhabited cities. The decrease in seismic noise improved earthquake locations and reports. Seismic noise could also be useful to verify compliance with lockdown measures.
Irene Bianchi, Elmer Ruigrok, Anne Obermann, and Edi Kissling
Solid Earth, 12, 1185–1196, https://doi.org/10.5194/se-12-1185-2021, https://doi.org/10.5194/se-12-1185-2021, 2021
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The European Alps formed during collision between the European and Adriatic plates and are one of the most studied orogens for understanding the dynamics of mountain building. In the Eastern Alps, the contact between the colliding plates is still a matter of debate. We have used the records from distant earthquakes to highlight the geometries of the crust–mantle boundary in the Eastern Alpine area; our results suggest a complex and faulted internal crustal structure beneath the higher crests.
Alba Zappone, Antonio Pio Rinaldi, Melchior Grab, Quinn C. Wenning, Clément Roques, Claudio Madonna, Anne C. Obermann, Stefano M. Bernasconi, Matthias S. Brennwald, Rolf Kipfer, Florian Soom, Paul Cook, Yves Guglielmi, Christophe Nussbaum, Domenico Giardini, Marco Mazzotti, and Stefan Wiemer
Solid Earth, 12, 319–343, https://doi.org/10.5194/se-12-319-2021, https://doi.org/10.5194/se-12-319-2021, 2021
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The success of the geological storage of carbon dioxide is linked to the availability at depth of a capable reservoir and an impermeable caprock. The sealing capacity of the caprock is a key parameter for long-term CO2 containment. Faults crosscutting the caprock might represent preferential pathways for CO2 to escape. A decameter-scale experiment on injection in a fault, monitored by an integrated network of multiparamerter sensors, sheds light on the mobility of fluids within the fault.
Camilla Rossi, Francesco Grigoli, Simone Cesca, Sebastian Heimann, Paolo Gasperini, Vala Hjörleifsdóttir, Torsten Dahm, Christopher J. Bean, Stefan Wiemer, Luca Scarabello, Nima Nooshiri, John F. Clinton, Anne Obermann, Kristján Ágústsson, and Thorbjörg Ágústsdóttir
Adv. Geosci., 54, 129–136, https://doi.org/10.5194/adgeo-54-129-2020, https://doi.org/10.5194/adgeo-54-129-2020, 2020
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We investigate the microseismicity occurred at Hengill area, a complex tectonic and geothermal site, where the origin of earthquakes may be either natural or anthropogenic. We use a very dense broadband seismic monitoring network and apply full-waveform based method for location. Our results and first characterization identified different types of microseismic clusters, which might be associated to either production/injection or the tectonic activity of the geothermal area.
Laura Ermert, Jonas Igel, Korbinian Sager, Eléonore Stutzmann, Tarje Nissen-Meyer, and Andreas Fichtner
Solid Earth, 11, 1597–1615, https://doi.org/10.5194/se-11-1597-2020, https://doi.org/10.5194/se-11-1597-2020, 2020
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We present an open-source tool to model ambient seismic auto- and cross-correlations with spatially varying source spectra. The modeling is based on pre-computed databases of seismic wave propagation, which can be obtained from public data providers. The aim of this tool is to facilitate the modeling of ambient noise correlations, which are an important seismologic observable, with realistic wave propagation physics. We present a description and benchmark along with example use cases.
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.
Dominik Zbinden, Antonio Pio Rinaldi, Tobias Diehl, and Stefan Wiemer
Solid Earth, 11, 909–933, https://doi.org/10.5194/se-11-909-2020, https://doi.org/10.5194/se-11-909-2020, 2020
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The deep geothermal project in St. Gallen, Switzerland, aimed at generating electricity and heat. The fluid pumped into the underground caused hundreds of small earthquakes and one larger one felt by the local population. Here we use computer simulations to study the physical processes that led to the earthquakes. We find that gas present in the subsurface could have intensified the seismicity, which may have implications for future geothermal projects conducted in similar geological conditions.
Nienke Blom, Alexey Gokhberg, and Andreas Fichtner
Solid Earth, 11, 669–690, https://doi.org/10.5194/se-11-669-2020, https://doi.org/10.5194/se-11-669-2020, 2020
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We have developed a model of the Earth's structure in the upper 500 km beneath the central and eastern Mediterranean. Within this model, we can see parts of the African tectonic plate that have sunk underneath the European plate over the past tens of millions of years. This model was constructed using seismic waveform tomography by matching the seismograms from many earthquakes recorded at the surface to synthetic seismograms that were generated by simulating earthquake wave propagation.
Linus Villiger, Valentin Samuel Gischig, Joseph Doetsch, Hannes Krietsch, Nathan Oliver Dutler, Mohammadreza Jalali, Benoît Valley, Paul Antony Selvadurai, Arnaud Mignan, Katrin Plenkers, Domenico Giardini, Florian Amann, and Stefan Wiemer
Solid Earth, 11, 627–655, https://doi.org/10.5194/se-11-627-2020, https://doi.org/10.5194/se-11-627-2020, 2020
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Hydraulic stimulation summarizes fracture initiation and reactivation due to high-pressure fluid injection. Several borehole intervals covering intact rock and pre-existing fractures were targets for high-pressure fluid injections within a decameter-scale, crystalline rock volume. The observed induced seismicity strongly depends on the target geology. In addition, the severity of the induced seismicity per experiment counter correlates with the observed transmissivity enhancement.
Michèle Marti, Michael Stauffacher, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 19, 2677–2700, https://doi.org/10.5194/nhess-19-2677-2019, https://doi.org/10.5194/nhess-19-2677-2019, 2019
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Maps are an established way to illustrate natural hazards and regularly used to communicate with non-experts. However, there is evidence that they are frequently misconceived. Using a real case, our study shows that applying or disregarding best practices in visualization, editing, and presentation significantly impacts the comprehensibility of seismic hazard information. We suggest scrutinizing current natural-hazard communication strategies and empirically testing new products.
Matthias Heck, Alec van Herwijnen, Conny Hammer, Manuel Hobiger, Jürg Schweizer, and Donat Fäh
Earth Surf. Dynam., 7, 491–503, https://doi.org/10.5194/esurf-7-491-2019, https://doi.org/10.5194/esurf-7-491-2019, 2019
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We used continuous seismic data from two small aperture geophone arrays deployed in the region above Davos in the eastern Swiss Alps to develop a machine learning workflow to automatically identify signals generated by snow avalanches. Our results suggest that the method presented could be used to identify major avalanche periods and highlight the importance of array processing techniques for the automatic classification of avalanches in seismic data.
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
Florian Amann, Valentin Gischig, Keith Evans, Joseph Doetsch, Reza Jalali, Benoît Valley, Hannes Krietsch, Nathan Dutler, Linus Villiger, Bernard Brixel, Maria Klepikova, Anniina Kittilä, Claudio Madonna, Stefan Wiemer, Martin O. Saar, Simon Loew, Thomas Driesner, Hansruedi Maurer, and Domenico Giardini
Solid Earth, 9, 115–137, https://doi.org/10.5194/se-9-115-2018, https://doi.org/10.5194/se-9-115-2018, 2018
Matthias Heck, Conny Hammer, Alec van Herwijnen, Jürg Schweizer, and Donat Fäh
Nat. Hazards Earth Syst. Sci., 18, 383–396, https://doi.org/10.5194/nhess-18-383-2018, https://doi.org/10.5194/nhess-18-383-2018, 2018
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In this study we use hidden Markov models, a machine learning algorithm to automatically identify avalanche events in a continuous seismic data set recorded during the winter 2010. With additional post processing steps, we detected around 70 avalanche events. Although not every detection could be confirmed as an avalanche, we clearly identified the two main avalanche periods of the winter season 2010 in our classification results.
Valentin Samuel Gischig, Joseph Doetsch, Hansruedi Maurer, Hannes Krietsch, Florian Amann, Keith Frederick Evans, Morteza Nejati, Mohammadreza Jalali, Benoît Valley, Anne Christine Obermann, Stefan Wiemer, and Domenico Giardini
Solid Earth, 9, 39–61, https://doi.org/10.5194/se-9-39-2018, https://doi.org/10.5194/se-9-39-2018, 2018
Agnieszka Płonka, Nienke Blom, and Andreas Fichtner
Solid Earth, 7, 1591–1608, https://doi.org/10.5194/se-7-1591-2016, https://doi.org/10.5194/se-7-1591-2016, 2016
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Imaging the inside of the Earth requires knowledge of how the Earth's properties affect seismic recordings. However, certain properties, such as density, affect seismograms in a way that is not fully known. Using numerical simulations, we can calculate a synthetic seismogram for a medium with and without density heterogeneities, and then compare the two signals. That way, we quantify the density effect on a seismogram. We also show that it is visible and growing as the wavefield gets scattered.
Irene Molinari, John Clinton, Edi Kissling, György Hetényi, Domenico Giardini, Josip Stipčević, Iva Dasović, Marijan Herak, Vesna Šipka, Zoltán Wéber, Zoltán Gráczer, Stefano Solarino, the Swiss-AlpArray Field Team, and the AlpArray Working Group
Adv. Geosci., 43, 15–29, https://doi.org/10.5194/adgeo-43-15-2016, https://doi.org/10.5194/adgeo-43-15-2016, 2016
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AlpArray is a collaborative seismological project in Europe that includes ~ 50 research institutes and seismological observatories. At its heart is the collection of top-quality seismological data from a dense network of stations in the Alpine region: the AlpArray Seismic Network (AASN). We report the Swiss contribution: site selections, installation, data quality and management. We deployed 27 temporary BB stations across 5 countries as result of a fruitful collaboration between 5 institutes.
Related subject area
Earthquake Hazards
Computing the time-dependent activity rate using non-declustered and declustered catalogues – a first step towards time-dependent seismic hazard calculations for operational earthquake forecasting
Analysis of borehole strain anomalies before the 2017 Jiuzhaigou Ms 7.0 earthquake based on a graph neural network
Testing the 2020 European Seismic Hazard Model (ESHM20) against observations from Romania
Sedimentary record of historical seismicity in a small, southern Oregon lake
A 2700-year record of Cascadia megathrust and crustal/slab earthquakes from Acorn Woman Lakes, Oregon
Probabilistic seismic hazard assessment of Sweden
Correlation between seismic activity and acoustic emission on the basis of in situ monitoring
The European Fault-Source Model 2020 (EFSM20): geologic input data for the European Seismic Hazard Model 2020
2021 Alaska earthquake: entropy approach to its precursors and aftershock regimes
Strategies for comparison of modern probabilistic seismic hazard models and insights from the Germany and France border region
The Earthquake Risk Model of Switzerland, ERM-CH23
Estimating ground motion intensities using simulation-based estimates of local crustal seismic response
Co- and postseismic subaquatic evidence for prehistoric fault activity near Coyhaique, Aysén Region, Chile
Forearc crustal faults as tsunami sources in the upper plate of the Lesser Antilles subduction zone: the case study of the Morne Piton fault system
The 2020 European Seismic Hazard Model: overview and results
Dynamic Fragility of a Slender Rock Pillar in a Sedimentary Rock Mass – from rock mechanics to seismic hazard
Risk-informed representative earthquake scenarios for Valparaíso and Viña del Mar, Chile
Harmonizing seismicity information in Central Asian countries: earthquake catalogue and active faults
Comparing components for seismic risk modelling using data from the 2019 Le Teil (France) earthquake
Modeling Seismic Hazard and Landslide Potentials in Northwestern Yunnan, China: Exploring Complex Fault Systems with multi-segment rupturing in a Block Rotational Tectonic Zone
Conversion relationships between Modified Mercalli Intensity and Peak Ground Acceleration for historical shallow crustal earthquakes in Mexico
Consistency between the Strain Rate Model and ESHM20 Earthquake Rate Forecast in Europe: insights for seismic hazard
Modelling seismic ground motion and its uncertainty in different tectonic contexts: challenges and application to the 2020 European Seismic Hazard Model (ESHM20)
Scoring and ranking probabilistic seismic hazard models: an application based on macroseismic intensity data
A dense micro-electromechanical system (MEMS)-based seismic network in populated areas: rapid estimation of exposure maps in Trentino (NE Italy)
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
Understanding flow characteristics from tsunami deposits at Odaka, Joban Coast, using a deep neural network (DNN) inverse model
Spring water anomalies before two consecutive earthquakes (Mw 7.7 and Mw 7.6) in Kahramanmaraş (Türkiye) on 6 February 2023
The quest for reference stations at the National Observatory of Athens, Greece
Update on the seismogenic potential of the Upper Rhine Graben southern region
Earthquake forecasting model for Albania: the area source model and the smoothing model
Towards a Harmonized Operational Earthquake Forecasting Model for Europe
The footprint of a historical paleoearthquake: the sixth-century-CE event in the European western Southern Alps
Seismic background noise levels in the Italian strong-motion network
Testing machine learning models for heuristic building damage assessment applied to the Italian Database of Observed Damage (DaDO)
The seismic hazard from the Lembang Fault, Indonesia, derived from InSAR and GNSS data
Development of a regional probabilistic seismic hazard model for Central Asia
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
Accounting for path and site effects in spatial ground-motion correlation models using Bayesian inference
Seismogenic potential and tsunami threat of the strike-slip Carboneras fault in the western Mediterranean from physics-based earthquake simulations
Earthquake hazard characterization by using entropy: application to northern Chilean earthquakes
Seismic risk scenarios for the residential buildings in the Sabana Centro province in Colombia
Looking for undocumented earthquake effects: a probabilistic analysis of Italian macroseismic data
Spatiotemporal seismicity pattern of the Taiwan orogen
A web-based GIS (web-GIS) database of the scientific articles on earthquake-triggered landslides
David Montiel-López, Sergio Molina, Juan José Galiana-Merino, Igor Gómez, Alireza Kharazian, Juan Luis Soler-Llorens, José Antonio Huesca-Tortosa, Arianna Guardiola-Villora, and Gonzalo Ortuño-Sáez
Nat. Hazards Earth Syst. Sci., 25, 515–539, https://doi.org/10.5194/nhess-25-515-2025, https://doi.org/10.5194/nhess-25-515-2025, 2025
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We presents a comparison between different methods of computing the seismic activity rate in the time-dependent annual probability of exceedance (TD-APE) for a given earthquake in two areas: Italy (high seismicity) and Spain (moderate seismicity). Important changes in the TD-APE are seen in Italy before the L'Aquila earthquake, which can be related to foreshocks. In the case of Spain subtle changes are seen before some earthquakes. This approach could enable operational earthquake forecasting.
Chenyang Li, Changfeng Qin, Jie Zhang, Yu Duan, and Chengquan Chi
Nat. Hazards Earth Syst. Sci., 25, 231–245, https://doi.org/10.5194/nhess-25-231-2025, https://doi.org/10.5194/nhess-25-231-2025, 2025
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In this study, we advance the field of earthquake prediction by introducing a pre-seismic anomaly extraction method based on the structure of a graph WaveNet model, which reveals the temporal correlation and spatial correlation of the strain observation data from different boreholes prior to the occurrence of an earthquake event.
Elena F. Manea, Laurentiu Danciu, Carmen O. Cioflan, Dragos Toma-Danila, and Matthew C. Gerstenberger
Nat. Hazards Earth Syst. Sci., 25, 1–12, https://doi.org/10.5194/nhess-25-1-2025, https://doi.org/10.5194/nhess-25-1-2025, 2025
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We test and evaluate the results of the 2020 European Seismic Hazard Model (ESHM20) against observations spanning a few centuries at 12 cities in Romania. The full distributions of the hazard curves at the given locations were considered, and the testing was performed 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.
Ann E. Morey, Mark D. Shapley, Daniel G. Gavin, Alan R. Nelson, and Chris Goldfinger
Nat. Hazards Earth Syst. Sci., 24, 4523–4561, https://doi.org/10.5194/nhess-24-4523-2024, https://doi.org/10.5194/nhess-24-4523-2024, 2024
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Disturbance events from historical sediments from a small lake in Oregon were evaluated to determine if Cascadia megathrust earthquakes are uniquely identifiable. Geochemical provenance data identify two likely Cascadia earthquakes, one from 1700 CE and the other from 1873 CE. A crustal earthquake deposit and flood deposits were also uniquely identified, suggesting that small Cascadia lakes are good recorders of megathrust earthquakes and other disturbances.
Ann E. Morey and Chris Goldfinger
Nat. Hazards Earth Syst. Sci., 24, 4563–4584, https://doi.org/10.5194/nhess-24-4563-2024, https://doi.org/10.5194/nhess-24-4563-2024, 2024
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This study uses the characteristics from a deposit attributed to the 1700 CE Cascadia earthquake to identify other subduction-earthquake deposits in sediments from two lakes located near the California–Oregon border. Seven deposits were identified in these records, and an age–depth model suggests that these correlate in time to the largest Cascadia earthquakes preserved in the offshore record, suggesting that inland lakes can be good recorders of Cascadia earthquakes.
Niranjan Joshi, Björn Lund, and Roland Roberts
Nat. Hazards Earth Syst. Sci., 24, 4199–4223, https://doi.org/10.5194/nhess-24-4199-2024, https://doi.org/10.5194/nhess-24-4199-2024, 2024
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Few large earthquakes and low occurrence rates make seismic hazard assessment of Sweden a challenging task. Recent expansion of the seismic network has improved the quality and quantity of the data recorded. We use these new data to estimate the Swedish seismic hazard using probabilistic methods to find that hazard was previously underestimated in the north. The north has the highest hazard in Sweden, with estimated mean peak ground acceleration of up to 0.06 g for a 475-year return period.
Zhiwen Zhu, Zihan Jiang, Federico Accornero, and Alberto Carpinteri
Nat. Hazards Earth Syst. Sci., 24, 4133–4143, https://doi.org/10.5194/nhess-24-4133-2024, https://doi.org/10.5194/nhess-24-4133-2024, 2024
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Since April 2023, an in situ experiment in a granite tunnel in Southeast China has been revealing strong correlations between acoustic emission signals and seismic activity. Acoustic emission bursts precede seismic events by approximately 17 h, with a notable decline in the b value and natural-time variance κ1. This research provides new evidence that acoustic emission can serve as an effective earthquake precursor.
Roberto Basili, Laurentiu Danciu, Céline Beauval, Karin Sesetyan, Susana Pires Vilanova, Shota Adamia, Pierre Arroucau, Jure Atanackov, Stéphane 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., 24, 3945–3976, https://doi.org/10.5194/nhess-24-3945-2024, https://doi.org/10.5194/nhess-24-3945-2024, 2024
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This study presents the European Fault-Source Model 2020 (EFSM20), a dataset of 1248 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.
Eugenio E. Vogel, Denisse Pastén, Gonzalo Saravia, Michel Aguilera, and Antonio Posadas
Nat. Hazards Earth Syst. Sci., 24, 3895–3906, https://doi.org/10.5194/nhess-24-3895-2024, https://doi.org/10.5194/nhess-24-3895-2024, 2024
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For the first time, an entropy analysis has been performed in Alaska, a seismic-rich region located in a subduction zone that shows non-trivial behavior: the subduction arc changes seismic activity from the eastern zone to the western zone, showing a decrease in this activity along the subduction zone. This study shows how an entropy approach can help us understand seismicity in subduction zones.
Graeme Weatherill, Fabrice Cotton, Guillaume Daniel, Irmela Zentner, Pablo Iturrieta, and Christian Bosse
Nat. Hazards Earth Syst. Sci., 24, 3755–3787, https://doi.org/10.5194/nhess-24-3755-2024, https://doi.org/10.5194/nhess-24-3755-2024, 2024
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New generations of seismic hazard models are developed with sophisticated approaches to quantify uncertainties in our knowledge of earthquake processes. 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.
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
Nat. Hazards Earth Syst. Sci., 24, 3561–3578, https://doi.org/10.5194/nhess-24-3561-2024, https://doi.org/10.5194/nhess-24-3561-2024, 2024
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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.
Himanshu Agrawal and John McCloskey
Nat. Hazards Earth Syst. Sci., 24, 3519–3536, https://doi.org/10.5194/nhess-24-3519-2024, https://doi.org/10.5194/nhess-24-3519-2024, 2024
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Rapidly expanding cities in earthquake-prone regions of the Global South often lack seismic event records, hindering accurate ground motion predictions for hazard assessment. Our study demonstrates that, despite these limitations, reliable predictions can be made using simulation-based methods for small (sub)urban units undergoing rapid development. High-resolution local geological data can reveal spatial variability in ground motions, aiding effective risk mitigation.
Morgan Vervoort, Katleen Wils, Kris Vanneste, Roberto Urrutia, Mario Pino, Catherine Kissel, Marc De Batist, and Maarten Van Daele
Nat. Hazards Earth Syst. Sci., 24, 3401–3421, https://doi.org/10.5194/nhess-24-3401-2024, https://doi.org/10.5194/nhess-24-3401-2024, 2024
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This study identifies a prehistoric earthquake around 4400 years ago near the city of Coyhaique (Aysén Region, Chilean Patagonia) and illustrates the potential seismic hazard in the region. We found deposits in lakes and a fjord that can be related to subaquatic and onshore landslides, all with a similar age, indicating that they were most likely caused by an earthquake. Through modeling we found that this was an earthquake of magnitude 6.3 to 7.0 on a fault near the city of Coyhaique.
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., 24, 3129–3154, https://doi.org/10.5194/nhess-24-3129-2024, https://doi.org/10.5194/nhess-24-3129-2024, 2024
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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 by dividing by four 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 of the worst-case scenario gives an overview of tsunami generation if all the fault segments ruptured together.
Laurentiu Danciu, Domenico Giardini, Graeme Weatherill, Roberto Basili, Shyam Nandan, Andrea Rovida, Céline Beauval, Pierre-Yves Bard, Marco Pagani, Celso G. Reyes, Karin Sesetyan, Susana Vilanova, Fabrice Cotton, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 3049–3073, https://doi.org/10.5194/nhess-24-3049-2024, https://doi.org/10.5194/nhess-24-3049-2024, 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 references in the next update of the European Seismic Design Code (CEN EC8), and it also provides a key input to the first earthquake risk model for Europe.
Alaa Jbara and Michael Tsesarsky
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-150, https://doi.org/10.5194/nhess-2024-150, 2024
Revised manuscript under review for NHESS
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Fragile geological features are the only empirical data to validate seismic hazard analysis over prehistoric timescales. We present a fragility analysis of a 42 m high rock pillar. Based on LiDAR scanning and in-situ rock elastic modulus measurements, we developed an accurate finite element model. The model was validated by comparing computational modal analysis with in-situ measurements of natural vibrations. Dynamic fragility analysis was used to challenge regional seismic hazard estimates.
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., 24, 2667–2687, https://doi.org/10.5194/nhess-24-2667-2024, https://doi.org/10.5194/nhess-24-2667-2024, 2024
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Seismic risk management uses reference earthquake scenarios, but the criteria for selecting them do not always consider consequences for exposed assets. Hence, we adopt a definition of representative scenarios associated with a return period and loss level to select such scenarios among a large set of possible earthquakes. We identify the scenarios for the residential-building stock and power supply in Valparaíso and Viña del Mar, Chile. The selected scenarios depend on the exposed assets.
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karaev, Paola Ceresa, and Paolo Bazzurro
Nat. Hazards Earth Syst. Sci., 24, 2597–2613, https://doi.org/10.5194/nhess-24-2597-2024, https://doi.org/10.5194/nhess-24-2597-2024, 2024
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As part of the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) programme, funded by the European Union in collaboration with the World Bank and GFDRR, a regionally consistent probabilistic multi-hazard and multi-asset risk assessment has been developed. This paper describes the preparation of the input datasets (earthquake catalogue and active-fault database) required for the implementation of the probabilistic seismic hazard model.
Konstantinos Trevlopoulos, Pierre Gehl, Caterina Negulescu, Helen Crowley, and Laurentiu Danciu
Nat. Hazards Earth Syst. Sci., 24, 2383–2401, https://doi.org/10.5194/nhess-24-2383-2024, https://doi.org/10.5194/nhess-24-2383-2024, 2024
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The models used to estimate the probability of exceeding a level of earthquake damage are essential to the reduction of disasters. These models consist of components that may be tested individually; however testing these types of models as a whole is challenging. Here, we use observations of damage caused by the 2019 Le Teil earthquake and estimations from other models to test components of seismic risk models.
Jia Cheng, Chong Xu, Xiwei Xu, Shimin Zhang, and Pengyu Zhu
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-96, https://doi.org/10.5194/nhess-2024-96, 2024
Revised manuscript accepted for NHESS
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The Northwestern Yunnan Region (NWYR), with a complex network of active faults, presents significant seismic hazards such as multi-segment ruptures and landslides. This article introduces a new seismic hazard model, which integrates fault slip parameters to assess the risks associated with multi-segment ruptures. The results reveal the intricate relationship between these ruptures and the regional small block rotation induced by regional low-crustal flow and gravitational collapse.
Quetzalcoatl Rodríguez-Pérez and F. Ramón Zúñiga
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-92, https://doi.org/10.5194/nhess-2024-92, 2024
Revised manuscript under review for NHESS
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Seismic intensity reflects earthquake damage, although this parameter is often subjective. On the other hand, peak acceleration values are a direct measure of earthquake effects. Seismic intensity was used to describe historical earthquakes, and its use is rare today. For this reason, it is important to have a relationship between these parameters of strong movements in order to predict the acceleration of historical earthquakes.
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.
Graeme Weatherill, Sreeram Reddy Kotha, Laurentiu Danciu, Susana Vilanova, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 24, 1795–1834, https://doi.org/10.5194/nhess-24-1795-2024, https://doi.org/10.5194/nhess-24-1795-2024, 2024
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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.
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
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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.
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.
Olga-Joan Ktenidou, Antonia Papageorgiou, Erion-Vasilis Pikoulis, Spyros Liakopoulos, Fevronia Gkika, Ziya Cekinmez, Panagiotis Savvaidis, Kalliopi Fragouli, and Christos P. Evangelidis
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-233, https://doi.org/10.5194/nhess-2023-233, 2024
Revised manuscript accepted for NHESS
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Greek seismic data are valuable in European and even global databases, due to its high seismicity and numerous seismic stations. Seismic data coming from stations that lie on rock (i.e., not soil) sits are particularly valuable in seismology to define reference ground conditions and ground motions. However, little knowledge exists yet on how rock stations in Greece behave. This is the first time the network of the National Observatory is studied systematically to reveal reference stations.
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.
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.
Marta Han, Leila Mizrahi, and Stefan Wiemer
EGUsphere, https://doi.org/10.5194/egusphere-2023-3153, https://doi.org/10.5194/egusphere-2023-3153, 2024
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Relying on recent accomplishments in collecting and harmonizing data by the 2020 European Seismic Hazard Model (ESHM20) and leveraging advancements in state-of-the-art earthquake forecasting methods, we develop a harmonized earthquake forecasting model for Europe. We propose several model variants and test them on training data for consistency and on a seven-year testing period against each other, as well as against both a time-independent benchmark and a global time-dependent benchmark.
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.
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, Marco Santulin, and Paolo Bazzurro
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-132, https://doi.org/10.5194/nhess-2023-132, 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 source model and presents the main results of the 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.
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.
Cited articles
Ajo-Franklin, J., Dou, S., Lindsey, N., Monga, I., Tracy, C., Robertson, M., Rodriguez Tribaldos, V., Ulrich, C., Freifeld, B., Daley, T., and Li, X.: Distributed acoustic sensing using dark fiber for near-surface characterisation and broadband seismic event detection, Sci. Rep., 9, 1328, https://doi.org/10.1038/s41598-018-36675-8, 2019.
Al Atik, L., Abrahamson, N., Bommer, J. J., Scherbaum, F., Cotton, F., and Kuehn, N.: The Variability of Ground-Motion Prediction Models and Its Components, Seismol. Res. Lett., 81, 794–801, https://doi.org/10.1785/gssrl.81.5.794, 2010.
Allen, R. M., Gasparini, P., Kamigaichi, O., and Böse, M.: The status of earthquake early warning around the world: an introductory overview, Seismol. Res. Lett., 80, 682–693, https://doi.org/10.1785/gssrl.80.5.682, 2009.
Armbruster, D., Mesimeri, M., Kästli, P., Diehl, T., Massin, F., and Wiemer, S.: SCDetect: Near real-time computationally efficient waveform cross-correlation based earthquake detection during intense earthquake sequences, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-12443, https://doi.org/10.5194/egusphere-egu22-12443, 2022.
Bayliss, K., Naylor, M., Kamranzad, F., and Main, I.: Pseudo-prospective testing of 5-year earthquake forecasts for California using inlabru, Nat. Hazards Earth Syst. Sci., 22, 3231–3246, https://doi.org/10.5194/nhess-22-3231-2022, 2022.
Bear, M. and Kradolfer, U.: An automatic phase picker for local and teleseismic events, Bull. Seismol. Soc. Am., 77, 1437–1445, 1987.
Bergamo, P., Hammer, C., and Fäh, D.: Correspondence between Site Amplification and Topographical, Geological Parameters: Collation of Data from Swiss and Japanese Stations, and Neural Networks-Based Prediction of Local Response, Bull. Seismol. Soc. Am., 112, 1008–1030, 2021.
Bergamo, P., Fäh, D., Panzera, F., Cauzzi, C., Glueer, F., Perron, V., Wiemer, S.: A site amplification model for Switzerland based on site-condition indicators and incorporating local response as measured at seismic stations, Bull. Earthq. Eng., 21, 5831–5865, https://doi.org/10.1007/s10518-023-01766-z, 2023.
Blagojević, N., Hefti, F., Henken, J., Didier, M., and Stojadinović, B.: Quantifying disaster resilience of a community with interdependent civil infrastructure systems, Struct. Infrastruct. Eng., 19, 1696–1710, https://doi.org/10.1080/15732479.2022.2052912, 2022.
Bodenmann, L., Reuland, Y., and Stojadinović, B.: Dynamic post-earthquake updating of regional damage estimates using Gaussian processes, Reliabil. Eng. Syst. Safe., 234, 109201, https://doi.org/10.1016/j.ress.2023.109201, 2023.
Bogris, A., Nikas, T., Simos, C., Simos, I., Lentas, K., Melis, N. S., Fichtner, A., Bowden, D., Smolinski, K., Mesaritakis, C., and Chochliournos, I.: Sensitive seismic sensors based on microwave frequency fiber interferometry in commercially deployed cables, Sci. Rep., 12, 14000, https://doi.org/10.1038/s41598-022-18130-x, 2022.
Böse, M., Heaton, T. H., and Hauksson, E.: Real-time Finite Fault Rupture Detector (FinDer) for large earthquakes, Geophys. J. Int., 191, 803–812, https://doi.org/10.1111/j.1365-246X.2012.05657.x, 2012.
Böse, M., Papadopoulos, A. N., Danciu, L., Clinton, J. F., and Wiemer, S.: Loss-Based Performance Assessment and Seismic Network Optimization for Earthquake Early Warning, Bull. Seismol. Soc. Am., 112, 1662–1677, https://doi.org/10.1785/0120210298, 2022.
Blagojević, N. and Stojadinović, B.: pyrecodes: an open-source library for regional recovery simulation and disaster resilience assessment of the built environment (v0.1.0), Chair of Structural Dynamics and Earthquake Engineering, ETH Zurich, Zurich, https://doi.org/10.5905/ethz-1007-700, 2023.
Burjánek, J., Gischig, V., Moore, J. R., and Fäh, D.: Ambient vibration characterization and monitoring of a rock slope close to collapse, Geophys. J. Int., 212, 297–310, 2018.
Cattania, C., Werner, M. J., Marzocchi, W., Hainzl, S., Rhoades, D., Gerstenberger, M., Liukis, M., Savran, W., Christophersen, A., and Helmstetter, A.: The forecasting skill of physics-based seismicity models during the 2010–2012 Canterbury, New Zealand, earthquake sequence, Seismol. Res. Lett., 89, 1238–1250, 2018.
Cauzzi, C. and Clinton, J.: A High- and Low-Noise Model for High-Quality Strong-Motion Accelerometer Stations, Earthq. Spectra, 29, 85–102, https://doi.org/10.1193/1.4000107, 2013.
Cauzzi, C., Edwards, B., Fäh, D., Clinton, J., Wiemer, S., Kästli, P., Cua, G., and Giardini, D.: New predictive equations and site amplification estimates for the next-generation Swiss ShakeMaps, Geophys. J. Int., 200, 421-438, https://doi.org/10.1093/gji/ggu404, 2015.
Cauzzi, C., Behr, Y., Le Guenan, T., Douglas, J., Auclair, S., Woessner, J., Clinton, J., and Wiemer, S.: Earthquake early warning and operational earthquake forecasting as real-time hazard information to mitigate seismic risk at nuclear facilities, Bull. Earthq. Eng., 14, 2495–2512, https://doi.org/10.1007/s10518-016-9864-0, 2016a.
Cauzzi, C., Sleeman, R., Clinton, J., Ballesta, J. D., Galanis, O., and Kästli, P.: Introducing the European Rapid Raw Strong-Motion Database, Seismol. Res. Lett., 87, 977–986, https://doi.org/10.1785/0220150271, 2016b.
Cauzzi, C., Clinton, J., Faenza, L., Heimers, S., Koymans, M. R., Lauciani, V., Luzi, L., Michelini, A., Puglia, R., and Russo, E.: Introducing a European integrated ShakeMap system, Seismol. Res. Lett., 89, 926, https://doi.org/10.1785/0220180082, 2018a.
Cauzzi, C., Fäh, D., Wald, D. J., Clinton, J., Losey, S., and Wiemer, S.: ShakeMap-based prediction of earthquake-induced mass movements in Switzerland calibrated on historical observations, Nat. Hazards, 92, 1211–1235, https://doi.org/10.1007/s11069-018-3248-5, 2018b.
Cauzzi, C. V., Clinton, J., Kaestli, P., Fäh, D., Bergamo, P., Böse, M., Haslinger, F., and Wiemer, S.: Swiss Shakemap at Fifteen: Distinctive Local Features and International Outreach, in: Seismological Society of America Annual Meeting (SSA 2022), Seismol. Res. Lett., 93, 1315–1316, https://doi.org/10.1785/0220220087, 2022.
Chiaraluce, L., Festa, G., Bernard, P., Caracausi, A., Carluccio, I., Clinton, J., Stefano, R., Elia, L., Evangelidis, C., Ergintav, S., Jianu, O., Kaviris, G., Marmureanu, A., Sebela, S., and Sokos, E.: The Near Fault Observatory community in Europe: a new resource for faulting and hazard studies, Ann. Geophys., 65, DM316, https://doi.org/10.4401/ag-8778, 2022.
Clinton, J., Cauzzi, C., Fäh, D., Michel, C., Zweifel, P., Olivieri, M., Cua, G., Haslinger, F., and Giardini, D.: The current state of strong motion monitoring in Switzerland, in: Earthquake Data in Engineering Seismology. Geotechnical, Geological, and Earthquake Engineering, vol. 14, edited by: Akkar, S., Gülkan, P., and van Eck, T., Springer, Dordrecht, https://doi.org/10.1007/978-94-007-0152-6_15, 2011.
Console, R. and Di Giovambattista, R.: Local earthquake relative location by digital records, Phys. Earth Planet. Inter., 47I, 43–49, https://doi.org/10.1016/0031-9201(87)90065-3, 1987.
Cremen, G. and Galasso, C.: Earthquake early warning: Recent advances and perspectives, Earth-Sci. Rev., 205, 103184, https://doi.org/10.1016/j.earscirev.2020.103184, 2020.
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), EFEHR Technical Report, 2, EFEHR, https://doi.org/10.3929/ethz-b-000590388, 2021.
Cua, G. B.: Creating the Virtual Seismologist: Developments in Ground Motion Characterization and Seismic Early Warning, PhD dissertation, California Institute of Technology, https://doi.org/10.7907/M926-J956, 2005.
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Short summary
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.
Seismic hazard and risk are time dependent as seismicity is clustered and exposure can change...
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