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.
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
Related authors
No articles found.
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
Preprint under review for WES
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Revised manuscript accepted for NHESS
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
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
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
Analysis of Borehole Strain Anomalies Before the 2017 Jiuzhaigou Ms7.0 Earthquake Based on Graph Neural Network
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
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
Testing the 2020 European Seismic Hazard Model (ESHM20) against observations from Romania
Towards a Harmonized Operational Earthquake Forecasting Model for Europe
Computing time-dependent activity rate using non-declustered and declustered catalogues. A first step towards time dependent seismic hazard calculations for operational earthquake forecasting
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
Evaluation of liquefaction triggering potential in Italy: a seismic-hazard-based approach
Earthquake vulnerability assessment of the built environment in the city of Srinagar, Kashmir Himalaya, using a geographic information system
Earthquake-induced landslides in Norway
PERL: a dataset of geotechnical, geophysical, and hydrogeological parameters for earthquake-induced hazards assessment in Terre del Reno (Emilia-Romagna, Italy)
Development of a seismic loss prediction model for residential buildings using machine learning – Ōtautahi / Christchurch, New Zealand
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
Chenyang Li, Changfeng Qin, Jie Zhang, Yu Duan, and Chengquan Chi
EGUsphere, https://doi.org/10.5194/egusphere-2024-2025, https://doi.org/10.5194/egusphere-2024-2025, 2024
Short summary
Short summary
In this study, we advance the field of earthquake prediction by introducing a pre-seismic anomaly extraction method based on the structure of graph-wave network, which reveals the temporal correlation and spatial correlation of the strain observation data from different boreholes prior to the occurrence of an earthquake event.
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
Short summary
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.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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
Revised manuscript accepted for NHESS
Short summary
Short summary
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.
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
Short summary
Short summary
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.
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
EGUsphere, https://doi.org/10.5194/egusphere-2023-2818, https://doi.org/10.5194/egusphere-2023-2818, 2024
Short summary
Short summary
This work presents a comparison between different methods of computing seismic activity rate in the time-dependent annual probability of exceedance computation for a given earthquake in two areas: Italy (high seismicity) and Spain (moderate seismicity). Important changes in the time-dependent annual exceedance probability are observed in Italy before L’Aquila earthquake, which can be used in Operational Earthquake Forecasting. These changes are not so evident in Spain for the chosen events.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
The strike-slip Carboneras fault is one of the largest sources in the Alboran Sea, with it being one of the faster faults in the eastern Betics. The dimensions and location of the Carboneras fault imply a high seismic and tsunami threat. In this work, we present tsunami simulations from sources generated with physics-based earthquake simulators. We show that the Carboneras fault has the capacity to generate locally damaging tsunamis with inter-event times between 2000 and 6000 years.
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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
Short summary
Short summary
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.
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.
Dahmen, N. L., Clinton, J. F., Meier, M. A., Stähler, S. C., Ceylan, S., Kim, D., Stott, A. E., and Giardini, D.: MarsQuakeNet: A more complete marsquake catalog obtained by deep learning techniques, J. Geophys. Res.-Planets, 127, e2022JE007503, https://doi.org/10.1029/2022JE007503, 2022.
Dallo, I., Marti, M., Clinton, J., Böse, M., Massin, F., and Zaugg, S.: Earthquake early warning in countries where damaging earthquakes only occur every 50 to 150 years – The societal perspective, Int. J. Disast. Risk Reduct., 83, 103441, https://doi.org/10.1016/j.ijdrr.2022.103441, 2022a.
Dallo, I., Stauffacher, M., and Marti, M.: Actionable and understandable? Evidence-based recommendations for the design of (multi-)hazard warning messages, Int. J. Disast. Risk Reduct., 74, 102917, https://doi.org/10.1016/j.ijdrr.2022.102917, 2022b.
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 Model: Model Overview, ETH Zurich, Zurich, https://doi.org/10.12686/a15, 2021.
Danciu, L., Weatherill, G., Rovida, A., Basili, R., Bard, P.-Y., Beauval, C., Nandan, S., Pagani, M., Crowley, H., Sesetyan, K., Villanova, S., Reyes, C., Marti, M., Cotton, F., Wiemer, S., and Giardini, D.: The 2020 European Seismic Hazard Model: Milestones and Lessons Learned, in: Progresses in European Earthquake Engineering and Seismology, ECEES 2022, Springer Proceedings in Earth and Environmental Sciences, Cham, https://doi.org/10.1007/978-3-031-15104-0_1, 2022.
Diehl, T., Husen, S., Kissling, E., and Deichmann, N.: High-resolution 3-D P-wave model of the Alpine crust, Geophys. J. Int., 179, 1133–1147, https://doi.org/10.1111/j.1365-246X.2009.04331.x, 2009.
Diehl, T., Kraft, T., Kissling, E., and Wiemer, S.: The induced earthquake sequence related to the St. Gallen deep geothermal project (Switzerland): Fault reactivation and fluid interactions imaged by microseismicity, J. Geophys. Res.-Solid, 122, 7272–7290, https://doi.org/10.1002/2017JB014473, 2017.
Diehl, T., Kissling, E., Herwegh, M., and Schmid, S.: Improving Absolute Hypocenter Accuracy with 3-D Pg and Sg Body-Wave Inversion Procedures and Application to Earthquakes in the Central Alps Region, J. Geophys. Res.-Solid, 126, e2021JB022155, https://doi.org/10.1029/2021jb022155, 2021a.
Diehl, T., Clinton, J., Cauzzi, C., Kraft, T., Kaestli, P., Deichmann, N., Massin, F., Grigoli, F., Molinari, I., and Böse, M.: Earthquakes in Switzerland and surrounding regions during 2017 and 2018, Swiss J. Geosci., 106, 543–558, https://doi.org/10.1007/s00015-013-0154-4, 2021b.
Diehl, T., Madritsch, H., Schnellmann, M., Spillmann, T., Brockmann, E., and Wiemer, S.: Seismotectonic evidence for present-day transtensional reactivation of the slowly deforming Hegau-Bodensee Graben in the northern foreland of the Central Alps, Tectonophysics, 846, 229659, https://doi.org/10.1016/j.tecto.2022.229659, 2023.
Dryhurst, S., Mulder, F., Dallo, I., Kerr, J. R., McBride, S. K., Fallou, L., and Becker, J. S.: Fighting misinformation in seismology: Expert opinion on earthquake facts vs. fiction, Front. Earth Sci., 10, 937055, https://doi.org/10.3389/feart.2022.937055, 2022.
Edwards, B., Allmann, B., Fäh, D., and Clinton, J.: Automatic computation of moment magnitudes for small earthquakes and the scaling of local to moment magnitude, Geophys. J. Int., 183, 407–420, https://doi.org/10.1111/j.1365-246X.2010.04743.x, 2010.
Edwards, B., Michel, C., Poggi, V., and Fäh, D.: Determination of Site Amplification from Regional Seismicity: Application to the Swiss National Seismic Networks, Seismol. Res. Lett., 84, 611–621, 2013.
Edwards, B., Kraft, T., Cauzzi, C., Kastli, P., and Wiemer, S.: Seismic monitoring and analysis of deep geothermal projects in St Gallen and Basel, Switzerland, Geophys. J. Int., 201, 1022–1039, https://doi.org/10.1093/gji/ggv059, 2015.
Faenza, L. and Michelini, A.: Regression analysis of MCS intensity and ground motion parameters in Italy and its application in ShakeMap, Geophys. J. Int., 180, 1138–1152, 2010.
Faenza, L. and Michelini, A.: Regression analysis of MCS intensity and ground motion spectral accelerations (SAs) in Italy, Geophys. J. Int., 186, 1415–1430, 2011.
Fäh, D., and Huggenberger, P.: INTERREG III Projekt: Erdbebenmikrozonierung am südlichen Oberrhein, Zusammenfassung, ETH Zurich, https://doi.org/10.3929/ethz-a-006412199, 2006.
Fäh, D., Giardini, D., Kästli, P., Deichmann, N., Gisler, M., Schwarz-Zanetti, G., Alvarez-Rubio, S., Sellami, S., Edwards, B., Allmann, B., Bethmann, F., Wössner, J., Gassner-Stamm, G., Fritsche, S., and Eberhard, D.: ECOS-09 Earthquake Catalogue of Switzerland Release 2011 Report and Database, Public catalogue, 17.4.2011, Report SED/RISK/R/001/20110417, Swiss Seismological Service ETH Zurich, http://www.seismo.ethz.ch/static/ecos-09/ECOS-2009_Report_final_WEB.pdf (last access: February 2024), 2011.
Fäh, D., Moore, J. R., Burjanek, J., Iosifescu, I., Dalguer, L., Dupray, F., Michel, C., Woessner, J., Villiger, A., Laue, J., Marshall,I., Gischig, V., Loew, S., Marin, A., Gassner, G., Alvarez, S., Balderer, W., Kästli, P., Giardini, D., Iosifescu, C., Hurni, L., Lestuzzi, P., Karbassi, A., Baumann, C., Geiger, A., Ferrari, A., Laloui, L., Clinton, J., and Deichmann, N.: Coupled seismogenic geohazards in Alpine regions, Bollettino di geofisica teorica ed applicata, 53, 485–508, https://doi.org/10.4430/bgta0048, 2012.
Fritsche, S., Fäh, D., and Schwarz-Zanetti, G.: Historical intensity VIII earthquakes along the Rhone valley (Valais, Switzerland): primary and secondary effects, Swiss J. Geosci., 105, 1–18, 2012.
Giardini, D.: The global seismic hazard assessment program (GSHAP) – 1992/1999, Ann. Geophys., 42, https://doi.org/10.4401/ag-3780, 1999.
Giardini, D., Wiemer, S., Fäh, D., and Deichmann, N.: Seismic hazard assessment of Switzerland, 2004, Publication Series of the Swiss Seismological Service, ETH Zurich, Zurich, 91 pp., http://www.seismo.ethz.ch/export/sites/sedsite/knowledge/.galleries/pdf_knowledge/SUIhaz2015_final-report_16072016_2.pdf_2063069299.pdf (last access: February 2024), 2004.
Giardini, D., Danciu, L., Erdik, M., Sesetyan, K., Demircioglu Tümsa, M. B., Akkar, S., Gülen, L., and Zare, M.: Seismic hazard map of the Middle East, Bull. Earthquake. Eng., 16, 3567–3570, https://doi.org/10.1007/s10518-018-0347-3, 2018.
Glueer, F., Häusler, M., Gischig, V., and Fäh, D.: Coseismic Stability Assessment of a Damaged Underground Ammunition Storage Chamber Through Ambient Vibration Recordings and Numerical Modelling, Front. Earth Sci., 9, 773155, https://doi.org/10.3389/feart.2021.773155, 2021.
Grigoli, F., Scarabello, L., Böse, M., Weber, B., Wiemer, S., and Clinton, J. F.: Pick- and waveform-based techniques for real-time detection of induced seismicity, Geophys. J. Int., 213, 868–884, https://doi.org/10.1093/gji/ggy019, 2018.
Guarini, M. R., Battisti, F., and Chiovitti, A.: A Methodology for the Selection of Multi-Criteria Decision Analysis Methods in Real Estate and Land Management Processes, Sustainability, 10, 507, https://doi.org/10.3390/su10020507, 2018.
Hammer, C., Ohrnberger, M., and Fäh, D.: Classifying seismic waveforms from scratch: a case study in the alpine environment, Geophys. J. Int., 192, 425–439, https://doi.org/10.1093/gji/ggs036, 2013.
Harte, D. S.: Evaluation of earthquake stochastic models based on their real-time forecasts: a case study of Kaikoura 2016, Geophys. J. Int., 217, 1894–1914, 2019.
Haslinger, F., Basili, R., Bossu, R., Cauzzi, C., Cotton, F., Crowley, H., Custodio, S., Danciu, L., Locati, M., Michelini, A., Molinari, I., Ottemöller, L., and Parolai, S.: Coordinated and interoperable seismological data and product services in Europe: the EPOS thematic core service for seismology, Ann. Geophys., 65, DM213, https://doi.org/10.4401/ag-8767, 2022.
Häusler, M., Gischig, V., Thöny, R., Glueer, F., and Donat, F.: Monitoring the changing seismic site response of a fast-moving rockslide (Brienz/Brinzauls, Switzerland), Geophys. J. Int., 229, 299–310, 2022.
Hengl, T., Heuvelink, G. B. M., and Rossiter, D. G.: About regression-kriging: From equations to case studies, Computers & Geosciences, 33(10), 1301–1315, 2007.
Hermann, M., Zechar, J. D., and Wiemer, S.: Communicating time-varying seismic risk during an earthquake sequence, Seismol. Res. Lett., 87, 301–312, https://doi.org/10.1785/0220150168, 2016.
Hetényi, G., Molinari, I., Clinton, J., Bokelmann, G., Bondár, I., Crawford, W. C., Dessa, J.-X., Doubre, C., Friederich, W., and Fuchs, F.: The AlpArray seismic network: a large-scale European experiment to image the Alpine Orogen, Surv. Geophys., 39, 1009–1033, https://doi.org/10.1007/s10712-018-9472-4, 2018.
Hillers, G., Husen, S., Obermann, A., Planès, T., Larose, E., and Campillo, M.: Noise-based monitoring and imaging of aseismic transient deformation induced by the 2006 Basel reservoir stimulation, Geophysics, 80, KS51–KS68, 2015.
Hobiger, M., Bergamo, P., Imperatori, W., Panzera, F., Lontsi, A. M., Perron, V., C., M., J., B., and Fäh, D.: Site Characterization of Swiss Strong-Motion Stations: The Benefit of Advanced Processing Algorithms, Bull. Seismol. Soc. Am., 111, 1713–1739, 2021.
Husen, S., Kissling, E., Deichmann, N., Wiemer, S., Giardini, D., and Baer, M.: Probabilistic earthquake location in complex three-dimensional velocity models: Application to Switzerland, J. Geophys. Res.-Solid, 108, 2077, https://doi.org/10.1029/2002JB001778, 2003.
Janusz, P., Bonilla, L. F., and Fäh, D.: URBASIS Deliverable: A case study on non-linear soil response in urban areas, ETC Zurich, Zurich, https://doi.org/10.3929/ethz-b-000575536, 2022.
Jousset, P., Currenti, G., Schwarz, B., Chalari, A., Tilmann, F., Reinsch, T., Zuccarello, L., Privitera, E., and Krawczyk, C. M.: Fibre optic distributed acoustic sensing of volcanic events, Nat. Commun., 13, 1753, https://doi.org/10.1038/s41467-022-29184-w, 2022.
Jozinović, D., Massin, F., Böse, M., and Clinton, J.: Combining earthquake early warning solutions from different algorithms: application to Switzerland, in: 2023 SSA Annual Meeting, 17–20 April 2023, San Juan, Puerto Rico, abstract 9451, 2023.
Klaasen, S., Paitz, P., Lindner, N., Dettmer, J., and Fichtner, A.: Distributed Acoustic Sensing in volcano-glacial environments – Mount Meager, British Columbia, J. Geophys. Res., 126, e2021JB022358, https://doi.org/10.1029/2021JB022358, 2021.
Kleinbrod, U., Burjánek, J., and Fäh, D.: Ambient vibration classification of unstable rock slopes: A systematic approach, Eng. Geol., 249, 198–217, 2019.
Kremer, K., Fabbri, S. C., Evers, F. M., Schweizer, N., and Wirth, S. B.: Traces of a prehistoric and potentially tsunamigenic mass movement in the sediments of Lake Thun (Switzerland), Swiss J. Geosci., 115, 1–20, 2022.
Lagomarsino, S. and Giovinazzi, S.: Macroseismic and mechanical models for the vulnerability and damage assessment of current buildings, Bull. Earthq. Eng., 4, 415–443, https://doi.org/10.1007/s10518-006-9024-z, 2006.
Lagomarsino, S., Cattari, S., and Ottonelli, D.: The heuristic vulnerability model: fragility curves for masonry buildings, Bull. Earthq. Eng., 19, 3129–3163, https://doi.org/10.1007/s10518-021-01063-7, 2021.
Lanza, F., Diehl, T., Deichmann, N., Kraft, T., Nussbaum, C., Schefer, S., and Wiemer, S.: The Saint-Ursanne earthquakes of 2000 revisited: evidence for active shallow thrust-faulting in the Jura fold-and-thrust belt, Swiss J. Geosci., 115, 1–24, https://doi.org/10.1186/s00015-021-00400-x, 2022.
Lestuzzi, P., Podestà, S., Luchini, C., Garofano, A., Kazantzidou-Firtinidou, D., and Bozzano, C.: Validation and improvement of Risk-UE LM2 capacity curves for URM buildings with stiff floors and RC shear walls buildings, Bull. Earthq. Eng., 15, 1111–1134, https://doi.org/10.1007/s10518-016-9981-9, 2017.
Lee, T.: The transition between Western and Central Alps: New seismotectonic insights from high-resolution earthquake catalogs and tomography, PhD thesis, Diss. No. 29073, ETH Zurich, Zurich, https://doi.org/10.3929/ethz-b-000613262, 2023.
Lee, T., Diehl, T., Kissling, E., and Wiemer, S.: New insights into the Rhône–Simplon fault system (Swiss Alps) from a consistent earthquake catalogue covering 35 yr, Geophys. J. Int., 232, 1568–1589, https://doi.org/10.1093/gji/ggac407, 2023.
Lindsey, N., Rademacher, H., and Ajo-Franklin, J.: On the broadband instrument response of fiber-optic (DAS) arrays, J. Geophys. Res., 125, e2019JB018145, https://doi.org/10.1029/2019JB018145, 2020.
Lomax, A., Virieux, J., Volant, P., and Berge, C.: Probabilistic earthquake location in 3D and layered models: Introduction of a Metropolis-Gibbs method and comparison with linear locations, in: Advances in Seismic Event Location, edited by: Thurber, C. H. and Rabinowitz, N., Kluwer, Amsterdam, 101–134, 2000.
Maranò, S., Reller, C., Loeliger, H.-A., and Fäh, D.: Seismic waves estimation and wave field decomposition: Application to ambient vibrations, Geophys. J. Int., 191, 175–188, 2012.
Marra, G., Clivati, C., Luckett, R., Tampellini, A., Kronjäger, J., Wright, L., Mura, A., Levi, F., Robinson, S., Xuereb, A., Baptie, B., and Calonico, D.: Ultrastable laser interferometry for earthquake detection with terrestrial and submarine cables, Science, 361, 486–490, 2018.
Martakis, P., Movsessian, A., Reuland, Y., Pai, S. G., Quqa, S., Garcia Cava, D., Tcherniak, D., and Chatzi, E.: A semi-supervised interpretable machine learning framework for sensor fault detection, Smart Struct. Syst. Int. J., 29, 251–266, 2022.
Martakis, P., Reuland, Y., Stavridis, A., and Chatzi, E.: Fusing damage-sensitive features and domain adaptation towards robust damage classification in real buildings, Soil Dynam. Earthq. Eng., 166, 107739, https://doi.org/10.1016/j.soildyn.2022.107739 2023.
Marti, M., Stauffacher, M., and Wiemer, S.: Anecdotal evidence is an insufficient basis for designing earthquake preparedness campaigns, Seismol. Res. Lett., 91, 1929–1935, https://doi.org/10.1785/0220200010, 2020.
Marti, M., Dallo, I., Roth, P., Papadopoulos, A. N., and Zaugg, S.: Illustrating the impact of earthquakes: Evidence-based and user-centered recommendations on how to design earthquake scenarios and rapid impact assessments, Int. J. Disast. Risk Reduct., 90, 103674, https://doi.org/10.1016/j.ijdrr.2023.103674, 2023.
Marzocchi, W., Lombardi, A. M., and Casarotti, E.: The establishment of an operational earthquake forecasting system in Italy, Seismol. Res. Lett., 85, 961–969, 2014.
Massin, F., Clinton, J., and Böse, M.: Status of Earthquake Early Warning in Switzerland, Front. Earth Sci., 9, 707654, https://doi.org/10.3389/feart.2021.707654, 2021.
Meier, M.-A., Ross, Z. E., Ramachandran, A., Balakrishna, A., Nair, S., Kundzicz, P., Li, Z., Andrews, J., Hauksson, E., and Yue, Y.: Reliable real-time seismic signal/noise discrimination with machine learning, J. Geophys. Res.-Solid, 124, 788–800, https://doi.org/10.1029/2018JB016661, 2019.
Mesimeri, M., Armbruster, D., Kästli, P., Scarabello, L., Diehl, T., Clinton, J., and Wiemer, S.: SCDetect: A SeisComP Module for Real‐Time Waveform Cross‐Correlation‐Based Earthquake Detection, Seismol. Res. Lett., https://doi.org/10.1785/0220230164, in press, 2024.
Michel, C., Edwards, B., Poggi, V., Burjánek, J., and Fäh, D.: Assessment of Site Effects in Alpine Regions through Systematic Site Characterization of Seismic Stations, Bull. Seismol. Soc. Am., 104, 2809–2826, 2014.
Michel, C., Fäh, D., Edwards, B., and Cauzzi, C. V.: Site amplification at the city scale in Basel (Switzerland) from geophysical site characterization and spectral modelling of recorded earthquakes, Phys. Chem. Earth, 98, 27–40, 2017.
Michelini, A., Faenza, L., Cauzzi, C., Lauciani, V., Clinton, J., Kästli, P., Haslinger, F., Wiemer, S., Melis, N., Theodoulidis, N., Böse, M., Weatherill, G., Cotton, F., and Giardini, D.: ShakeMap-EU: an update on the shakemap service in Europe, EGU General Assembly 2023, Vienna, Austria, 23–28 April 2023, EGU23-5937, https://doi.org/10.5194/egusphere-egu23-5937, 2023.
Mitchell-Wallace, K., Jones, M., Hillier, J., and Foote, M.: Natural catastrophe risk management and modelling, in: Natural catastrophe risk management and modelling: A practitioner's Guide, 1st Edn., John Wiley & Sons, Hoboken, NJ, https://doi.org/10.1002/9781118906057, 2017.
Mizrahi, L.: Towards Next Generation Time-Dependent Earthquake Forecasting, Doctoral dissertation, ETH Zurich, Zurich, https://doi.org/10.3929/ethz-b-000584646, 2022.
Mizrahi, L., Irina, D., and Kuratle, L. D.: D3.5 Development, Testing, and Communicating Earthquake Fore-casts: Current Practices and Expert Recommendations, https://www.research-collection.ethz.ch/bitstream/handle/20.500.11850/637239/3/Supplement_Developingtestingandcommunicatingearthquakeforecasts.pdf (last access: February 2024), 2023.
Molinari, I., Obermann, A., Kissling, E., Hetényi, G., Boschi, L., and AlpArray-Easi Working: 3D crustal structure of the Eastern Alpine region from ambient noise tomography, Results Geophys. Sci., 1–4, 100006, https://doi.org/10.1016/j.ringps.2020.100006, 2020.
Mousavi, S. M. and Beroza, G. C.: Deep-learning seismology, Science, 377, eabm4470, https://doi.org/10.1126/science.abm4470, 2022.
Nakata, N., Gualtieri, L., and Fichtner, A. (Eds.): Seismic ambient noise, Cambridge University Press, ISBN 9781108271745, 2019.
Nandan, S., Kamer, Y., Ouillon, G., Hiemer, S., and Sornette, D.: Global models for short-term earthquake forecasting and predictive skill assessment, Eur. Phys. J. Spec. Top., 230, 425–449, 2021.
Nievas, C., Crowley, C., Reuland, Y., Weatherill, G., Baltzopoulos, G., Bayliss, K., Chatzi, E., Chioccarelli, E., Gueìguen, P., Iervolino, I., Marzocchi, W., Naylor, M., Orlacchio, M., Pejovic, J., Popovic, N., Serafini, F., Serdar, N.: RISE deliverable 6.1: Integration of RISE Innovations in the Fields of OELF, RLA and SHM, http://static.seismo.ethz.ch/rise/deliverables/Deliverable_6.1.pdf (last access: February 2024), 2023.
Obermann, A., Planès, T., Larose, E., and Campillo, M.: Imaging preeruptive and coeruptive structural and mechanical changes of a volcano with ambient seismic noise, J. Geophys. Res.-Solid, 118, 6285–6294, 2013.
Obermann, A., Froment, B., Campillo, M., Larose, E., Planès, T., Valette, B., Chen, J. H., and Liu, Q. Y.: Seismic noise correlations to image structural and mechanical changes associated with the Mw 7.9 2008 Wenchuan earthquake, J. Geophys. Res.-Solid, 119, 3155–3168, 2014.
Obermann, A., Lupi, M., Mordret, A., Jakobsdóttir, S. S., and Miller, S. A.: 3D-ambient noise Rayleigh wave tomography of Snæfellsjjökull volcano, Iceland, J. Volancol. Geoth. Res., 317, 42–52, https://doi.org/10.1016/j.jvolgeores.2016.02.013, 2016.
Obermann Kraft, T., Larose, E., and Wiemer, S.: Potential of ambient seismic noise techniques to monitor the St. Gallen geothermal site (Switzerland), J. Geophys. Res.-Solid, 120, 4301–4316, 2015.
Ogata, Y.: Statistical models for earthquake occurrences and residual analysis for point processes, J. Am. Stat. Assoc., 83, 9–27, https://doi.org/10.1080/01621459.1988.10478560v, 1988.
Ogata, Y., Katsura, K., Falcone, G., Nanjo, K., and Zhuang, J.: Comprehensive and topical evaluations of earthquake forecasts in terms of number, time, space, and magnitude, Bull. Seismol. Soc. Am., 103, 1692–1708, 2013.
Pagani, M., Monelli, D., Weatherill, G., Danciu, L., Crowley, H., Silva, V., Henshaw, P., Butler, L., Nastasi, M., and Panzeri, L.: 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.
Paitz, P., Edme, P., Gräff, D., Walter, F., Doetsch, J., Chalari, A., Schmelzbach, C., and Fichtner, A.: Empirical investigations of the instrument response for distributed acoustic sensing (DAS) across 17 octaves, Bull. the Seismol. Soc. Am., 111, 1–10, 2021.
Paitz, P., Lindner, N., Edme, P., Huguenin, P., Hohl, M., Sovilla, B., Walter, F., and Fichtner, A.: Phenomenology of avalanche recordings from distributed acoustic sensing, J. Geophys. Res., 128, e2022JF007011, https://doi.org/10.1029/2022JF007011, 2023.
Panzera, F., Bergamo, P., and Fäh, D.: Canonical Correlation Analysis Based on Site- Response Proxies to Predict Site- Specific Amplification Functions in Switzerland, Bull. Seismol. Soc. Am., 111, 1905–1920, 2021.
Panzera, F., Alber, J., Imperatori, W., Bergamo, P., and Fäh, D.: Reconstructing a 3D model from geophysical data for local amplification modelling: The study case of the upper Rhone valley, Switzerland, Soil Dynam. Earthq. Eng., 155, 107163, https://doi.org/10.1016/j.soildyn.2022.107163, 2022.
Papadopoulos, A. N., Böse, M., Danciu, L., Clinton, J., and Wiemer, S.: A framework to quantify the effectiveness of earthquake early warning in mitigating seismic risk, Earthq. Spectra, 39, 938–961, https://doi.org/10.1177/87552930231153424, 2023a.
Papadopoulos, A. N., Roth, P., Danciu, L., Bergamo, P., Panzera, F., Fäh, D., Cauzzi, C., Duvernay, B., Khodaverdian, A., Lestuzzi, P., Odabaşi, Ö., Fagà, E., Bazzurro, P., Marti, M., Valenzuela, N., Dallo, I., Schmid, N., Kästli, P., Haslinger, F., and Wiemer, S.: The Earthquake Risk Model of Switzerland ERM-CH23, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2023-1504, 2023b.
Perron, V., Bergamo, P., and Fäh D.: Site Amplification at High Spatial Resolution from Combined Ambient Noise and Earthquake Recordings in Sion, Switzerland, Seismol. Res. Lett., 93, 2281–2298, 2022.
Poggi, V., Edward, B., and Fäh, D.: A comparative analysis of site-specific response spectral amplification models, Phys. Chem. Earth, 98, 16–26, https://doi.org/10.1016/j.pce.2016.09.001, 2017.
Racine, R., Cauzzi, C., Clinton, J., Roman, R.,. Cauzzi, C. V., Clinton, J. F., Fäh, D., Edwards, B., Diehl, T., Heimers, S., Deichmann, N., Kästli, P., Haslinger, F., and Wiemer, S.: Updated determination of earthquake magnitudes at the Swiss Seismological Service, EGU General Assembly 2020, 4–8 May 2020, online, https://doi.org/10.5194/egusphere-egu2020-8273, 2020.
Reuland, Y., Martakis, P., and Chatzi, E.: Damage-sensitive features for rapid damage assessment in a seismic context, in: 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure, 30 June–2 July 2021, Porto, Portugal, 613–619, 2021.
Reuland, Y., Martakis, P., and Chatzi, E.: A Comparative Study of Damage-Sensitive Features for Rapid Data-Driven Seismic Structural Health Monitoring, Appl. Sci., 13, 2708, https://doi.org/10.3390/app13042708, 2023a.
Reuland, Y., Khodaverdian, A., Crowley, H., Nievas, C., Martakis, P., and Chatzi, E.: Monitoring-Driven Post-earthquake Building Damage Tagging, in: Experimental Vibration Analysis for Civil Engineering Structures, EVACES 2023, Lecture Notes in Civil Engineering, vol. 433, edited by: Limongelli, M. P., Giordano, P. F., Quqa, S., Gentile, C., and Cigada, A., Springer, Cham, https://doi.org/10.1007/978-3-031-39117-0_56, 2023b.
Roten, D., Fäh, D., and Bonilla, L. F.: Quantification of cyclic mobility parameters in liquefiable soils from inversion of vertical array records, Bull. Seismol. Soc. Am., 104, 3115–3138, 2014.
Sägesser, R. and Mayer-Rosa, D: Erdbebengefährdung in der Schweiz, Schweizerische Bauzeitung Heft 7, https://www.e-periodica.ch/digbib/view?pid=sbz-002:1978:96::78#1074 (last access: February 2024), 1978.
Sánchez-Pastor, P., Obermann, A., Schimmel, M., Weemstra, C., Verdel, A., and Jousset, P.: Short-and long-term variations in the Reykjanes geothermal reservoir from seismic noise interferometry, Geophys. Res. Lett., 46, 5788–5798, https://doi.org/10.1029/2019GL082352, 2019.
Savran, W. H., Werner, M. J., Marzocchi, W., Rhoades, D. A., Jackson, D. D., Milner, K., Field, E., and Michael, A.: Pseudoprospective Evaluation of UCERF3‐ETAS Forecasts during the 2019 Ridgecrest Sequence, Bull. Seismol. Soc. Am., 110, 1799–1817, https://doi.org/10.1785/0120200026, 2020.
Scarabello, L. and Diehl, T.: swiss-seismological-service/scrtdd, Zenodo [code], https://doi.org/10.5281/zenodo.5337361, 2021.
Scarabello, L., Diehl, T., Kästli, P., Clinton, J., and Wiemer, S.: Towards Real-Time Double-Difference Hypocenter Relocation of Natural and Induced Seismicity, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-13058, https://doi.org/10.5194/egusphere-egu2020-13058, 2020.
Schorlemmer, D., Euchner, F., Kästli, P., Saul, J., and Group, Q. W.: QuakeML: status of the XML-based seismological data exchange format, Ann. Geophys., 54, 59–65, https://doi.org/10.4401/ag-4874, 2011.
SED – Swiss Seismological Service At ETH Zurich: National Seismic Networks of Switzerland, Other/Seismic Network, ETH Zurich, Zurich, https://doi.org/10.12686/SED/NETWORKS/CH, 1983.
SED – Swiss Seismological Service At ETH Zurich: Temporary deployments in Switzerland associated with glacier monitoring, Other, ETH Zurich, Zurich, https://doi.org/10.12686/SED/NETWORKS/4D, 1985.
SED – Swiss Seismological Service At ETH Zurich: Temporary deployments in Switzerland associated with aftershocks and other seismic sequences, Other, ETH Zurich, Zurich, https://doi.org/10.12686/SED/NETWORKS/8D, 2005.
SED – Swiss Seismological Service at ETH Zurich: GEOBEST Baseline Seismic Monitoring Networks for Deep Geothermal Energy Projects in Switzerland, Other/Seismic network, ETH Zurich, Zurich, https://doi.org/10.12686/SED/NETWORKS/G2, 2006.
SED – Swiss Seismological Service At ETH Zurich: Temporary deployments in Switzerland associated with landslides; ETH Zurich. Other. https://doi.org/10.12686/SED/NETWORKS/XP, 2012.
SED – Swiss Seismological Service at ETH Zurich: The Site Characterization Database for Seismic Stations in Switzerland, Federal Institute of Technology, Zurich, https://doi.org/10.12686/sed-stationcharacterizationdb, 2015.
SED – Swiss Seismological Service at ETH Zurich: Bedretto Underground Laboratory for Geosciences and Geoenergies (BULGG) Seismic Network, Switzerland, Other/Seismic network, ETH Zurich, Zurich, https://doi.org/10.12686/SED/NETWORKS/8R, 2018a.
SED – Swiss Seismological Service At ETH Zurich: Stations deployed for Risk Model Switzerland, Other, ETH Zurich, Zurich, https://doi.org/10.12686/SED/NETWORKS/XY, 2018b.
SED – Swiss Seismological Service at ETH Zurich: Temporary Deployments operated by industry partners of the Swiss Seismological Serrvice, typically associated with geothermal monitoring projects, Other/Seismic Network, ETH Zurich, Zurich, https://doi.org/10.12686/SED/NETWORKS/5A, 2021.
Shynkarenko, A., Kremer, K., Stegmann, S., Bergamo, P., Lontsi, A. M., Roesner, A., Hammerschmidt, S., Kopf, A., and Fäh, D.: Geotechnical characterization and stability analysis of subaqueous slopes in Lake Lucerne (Switzerland), Nat. Hazards, 113, 475–505, 2022.
SIA 261: Norm 261, Einwirkungen auf Tragwerke, SIA – Schweizerischer Ingenieur- und Architektenverein, Zurich, http://shop.sia.ch/normenwerk/architekt/sia 261/d/2020/D/Product (last access: February 2023), 2020.
Silva, V., Amo-Oduro, D., Calderon, A., Costa, C., Dabbeek, J., Despotaki, V., Martins, L., Pagani, M., Rao, A., and Simionato, M.: Development of a global seismic risk model, Earthq. Spectra, 36, 372–394, 2020.
Spica, Z., Perton, M., Martin, E., Beroza, G., and Biondi, B.: Urban seismic site characterization by fiber-optic seismology, J. Geophys. Res., 125, e2019JB018656, https://doi.org/10.1029/2019JB018656, 2020.
Spica, Z. J., Castellanos, J. C., Viens, L., Nishida, K., Akuhara, T., Shinohara, M., and Yamada, T.: Subsurface imaging with ocean-bottom distributed acoustic sensing and water phases reverberations, Geophys. Res. Lett., 49, e2021GL095287, https://doi.org/10.1029/2021GL095287, 2022.
Strader, A., Schneider, M., and Schorlemmer, D.: Prospective and retrospective evaluation of five-year earthquake forecast models for California, Geophys. J. Int., 211, 239–251, 2017.
Strollo, A., Cambaz, D., Clinton, J., Danecek, P., Evangelidis, C. P., Marmureanu, A., Ottemöller, L., Pedersen, H., Sleeman, R., and Stammler, K.: EIDA: The European integrated data archive and service infrastructure within ORFEUS, Seismol. Soc. Am., 92, 1788–1795, 2021.
Strupler, M., Hilbe, M., Kremer, K., Danciu, L., Anselmetti, F. S., Strasser, M., and Wiemer, S.: Subaqueous landslide-triggered tsunami hazard for Lake Zurich, Switzerland, Swiss J. Geosci., 111, 353–371, 2018.
Toledo, T., Obermann, A., Verdel, A., Martins, J. E., Jousset, P., Mortensen, A. K., Erbas, K., and Krawczyk, C. M.: Ambient seismic noise monitoring and imaging at the Theistareykir geothermal field (Iceland), J. Volcanol. Geoth. Res., 429, 107590, https://doi.org/10.1016/j.jvolgeores.2022.107590, 2022.
Valenzuela Rodríguez, N.: Die aktuelle Erdbebensituation der Schweiz visualisieren – Eine Analyse der Erdbebenkarte der MeteoSchweiz-App hinsichtlich ihrer Verständlichkeit und ihres Verbesserungspotenzials, MS thesis, ZHAW – Zurich University of Applied Sciences, Zurich, https://www.polybox.ethz.ch/index.php/s/vaBmjfUr0AgaVtS (last access: February 2024), 2021.
Van der Elst, N. J., Hardebeck, J. L., Michael, A. J., McBride, S. K., and Vanacore, E.: Prospective and retrospective evaluation of the US Geological Survey Public aftershock forecast for the 2019–2021 Southwest Puerto Rico Earthquake and aftershocks, Seismol. Soc. Am., 93, 620–640, 2022.
Van Stiphout, T., Wiemer, S., and Marzocchi, W.: Are short-term evacuations warranted? Case of the 2009 L'Aquila earthquake, Geophys. Res. Lett., 37, 1–5, https://doi.org/10.1029/2009GL042352, 2010.
Waldhauser, F.: Near-real-time double-difference event location using long-term seismic archives, with application to Northern California, Bull. Seismol. Soc. Am., 99, 2736–2748, https://doi.org/10.1785/0120080294, 2009.
Waldhauser, F. and Ellsworth, W.: A Double-Difference Earthquake Location Algorithm: Method and Application to the Northern Hayward Fault, California, Bull. Seismol. Soc. Am., 90, 1353–1368, https://doi.org/10.1785/0120000006, 2000.
Walter, F., Gräff, D., Lindner, N., Paitz, P., Köpfli, M., Chmiel, M., and Fichtner, A.: Distributed Acoustic Sensing of microseismic sources and wave propagation in glaciated terrain, Nat. Commun., 11, 2436, https://doi.org/10.1038/s41467-020-15824-6, 2020.
Wiemer, S., Danciu, L., Edwards, B., Marti, M., Fäh, D., Hiemer, S., Wössner, J., Cauzzi, C., Kästli, P., and Kremer, K.: Seismic Hazard Model 2015 for Switzerland (SUIhaz2015), ETH Zurich, Zurich, https://doi.org/10.12686/a2, 2016.
Wiemer, S., Papadopoulos, A., Roth, P., Danciu, L., Bergamo, P., Fäh, D., Duvernay, B., Khodaverdian, A., Lestuzzi, P., Odabaşi, Ö., Fagà, E., Bazzuro, P., Cauzzi, C., Hammer, C., Panzera, F., Perron, V., Marti, M., N., V., Dallo, I., Zaugg, S., Fulda, D., Kästli, P., Schmid, N., and Haslinger, F.: Earthquake Risk Model of Switzerland (ERM-CH23), Swiss Seismological Service, ETH Zurich, Zurich, https://doi.org/10.12686/a20, 2023.
Woessner, J., Hainzl, S., Marzocchi, W., Werner, M. J., Lombardi, A. M., Catalli, F., Enescu, B., Cocco, M., Gerstenberger, M. C., and Wiemer, S.: A retrospective comparative forecast test on the 1992 Landers sequence, J. Geophys. Res.-Solid, 116, B05305, https://doi.org/10.1029/2010JB007846, 2011.
Woessner, J., Danciu, L., Giardini, D., Crowley, H., Cotton, F., Grünthal, G., Valensise, G., Arvidsson, R., Basili, R., Demircioglu, M. B., Hiemer, S., Meletti, C., Musson, R. W., Rovida, A., Sesetyan, K., and Stucchi, M.: The 2013 European Seismic Hazard Model: key components and results, Bull. Earthq. Eng., 13, 3553–3596, https://doi.org/10.1007/s10518-015-9795-1, 2015.
Worden, C. B., Thompson, E. M., Hearne, M., and Wald, D. J.: ShakeMap Manual Online: technical manual, user's guide, and software guide, US Geological Survey, https://doi.org/10.5066/F7D21VPQ, 2020.
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...
Special issue
Altmetrics
Final-revised paper
Preprint