Articles | Volume 24, issue 10
https://doi.org/10.5194/nhess-24-3561-2024
© 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-24-3561-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The Earthquake Risk Model of Switzerland, ERM-CH23
Athanasios N. Papadopoulos
CORRESPONDING AUTHOR
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Philippe Roth
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Laurentiu Danciu
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Paolo Bergamo
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Francesco Panzera
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Department of Biological, Geological, and Environmental Sciences, University of Catania, Catania, Italy
Donat Fäh
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Carlo Cauzzi
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Blaise Duvernay
Federal Office for the Environment (FOEN), Bern, Switzerland
Alireza Khodaverdian
École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Pierino Lestuzzi
École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
Ömer Odabaşi
RED Risk Engineering + Development, Pavia, Italy
Ettore Fagà
RED Risk Engineering + Development, Pavia, Italy
Paolo Bazzurro
RED Risk Engineering + Development, Pavia, Italy
Michèle Marti
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Nadja Valenzuela
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Irina Dallo
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Nicolas Schmid
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Philip Kästli
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Florian Haslinger
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
Stefan Wiemer
Swiss Seismological Service (SED), ETH Zurich, Zurich, Switzerland
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Shiba Subedi, Nadja Valenzuela, Priyanka Dhami, Maren Böse, György Hetényi, Lauriane Chardot, Lok Bijaya Adhikari, Mukunda Bhattarai, Rabindra Prasad Dhakal, Sarah Houghton, and Bishal Nath Upreti
EGUsphere, https://doi.org/10.5194/egusphere-2025-4131, https://doi.org/10.5194/egusphere-2025-4131, 2025
This preprint is open for discussion and under review for Geoscience Communication (GC).
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An interactive exhibition in Pokhara, Nepal, held on the tenth anniversary of the 2015 earthquake, helped school students understand why earthquakes occur and how to protect themselves. After taking part, most felt more confident and prepared, and many planned to share safety tips with their families and friends. This ripple effect shows how hands-on learning can spread awareness, inspire action, and help entire communities build resilience for future earthquakes.
Sandro Truttmann, Tobias Diehl, Marco Herwegh, and Stefan Wiemer
Solid Earth, 16, 641–662, https://doi.org/10.5194/se-16-641-2025, https://doi.org/10.5194/se-16-641-2025, 2025
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Our study investigates the statistical relationship between geological fractures and earthquakes in the southwestern Swiss Alps. We analyze how the fracture size and earthquake rupture are related and find differences in how fractures at different depths rupture seismically. While shallow fractures tend to rupture only partially, deeper fractures are more likely to rupture along their entire length, potentially resulting in larger earthquakes.
Bénédicte Donniol Jouve, Anne Socquet, Céline Beauval, Jesus Piña Valdès, and Laurentiu Danciu
Nat. Hazards Earth Syst. Sci., 25, 1789–1809, https://doi.org/10.5194/nhess-25-1789-2025, https://doi.org/10.5194/nhess-25-1789-2025, 2025
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We investigate how geodetic monitoring enhances accuracy in seismic hazard assessment. By utilizing geodetic strain rate maps for Europe and the European Seismic Hazard Model 2020 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.
Janneke van Ginkel, Fabian Walter, Fabian Lindner, Miroslav Hallo, Matthias Huss, and Donat Fäh
The Cryosphere, 19, 1469–1490, https://doi.org/10.5194/tc-19-1469-2025, https://doi.org/10.5194/tc-19-1469-2025, 2025
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This study on Glacier de la Plaine Morte in Switzerland employs various passive seismic analysis methods to identify complex hydraulic behaviours at the ice–bedrock interface. In 4 months of seismic records, we detect spatio-temporal 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 modelling techniques. This low-velocity layer results from temporary water storage subglacially.
Miriam Larissa Schwarz, Hansruedi Maurer, Anne Christine Obermann, Paul Antony Selvadurai, Alexis Shakas, Stefan Wiemer, and Domenico Giardini
EGUsphere, https://doi.org/10.5194/egusphere-2025-1094, https://doi.org/10.5194/egusphere-2025-1094, 2025
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This study applied fat ray travel time tomography to image the geothermal testbed at the BedrettoLab. An active seismic crosshole survey provided a dataset of 42'843 manually picked first breaks. The complex major fault zone was successfully imaged by a 3D velocity model and validated with wireline logs and geological observations. Seismic events from hydraulic stimulation correlated with velocity structures, "avoiding" very high and low velocities, speculatively due to stress gradients.
Marta Han, Leila Mizrahi, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 25, 991–1012, https://doi.org/10.5194/nhess-25-991-2025, https://doi.org/10.5194/nhess-25-991-2025, 2025
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Relying on recent accomplishments of 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 7-year testing period against each other, as well as against both a time-independent benchmark and a global time-dependent benchmark.
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karaev, Paola Ceresa, Marco Santulin, and Paolo Bazzurro
Nat. Hazards Earth Syst. Sci., 25, 817–842, https://doi.org/10.5194/nhess-25-817-2025, https://doi.org/10.5194/nhess-25-817-2025, 2025
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A regionally consistent probabilistic risk assessment for multiple hazards and assets was developed under the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) programme, supported by the European Union, the World Bank, and the Global Facility for Disaster Reduction and Recovery. This paper outlines the preparation of the source model and presents key results of the probabilistic earthquake hazard analysis for the Central Asian countries.
Paola Ceresa, Gianbattista Bussi, Simona Denaro, Gabriele Coccia, Paolo Bazzurro, Mario Martina, Ettore Fagà, Carlos Avelar, Mario Ordaz, Benjamin Huerta, Osvaldo Garay, Zhanar Raimbekova, Kanatbek Abdrakhmatov, Sitora Mirzokhonova, Vakhitkhan Ismailov, and Vladimir Belikov
Nat. Hazards Earth Syst. Sci., 25, 403–428, https://doi.org/10.5194/nhess-25-403-2025, https://doi.org/10.5194/nhess-25-403-2025, 2025
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A fully probabilistic flood risk assessment was carried out for five Central Asian countries to support regional and national risk financing and insurance applications. The paper presents the first high-resolution regional-scale transboundary flood risk assessment study in the area aiming to provide tools for decision-making.
Valentin Samuel Gischig, Antonio Pio Rinaldi, Andres Alcolea, Falko Bethman, Marco Broccardo, Kai Erich Norbert Bröker, Raymi Castilla, Federico Ciardo, Victor Clasen Repollés, Virginie Durand, Nima Gholizadeh Doonechaly, Marian Hertrich, Rebecca Hochreutener, Philipp Kästli, Dimitrios Karvounis, Xiaodong Ma, Men-Andrin Meier, Peter Meier, Maria Mesimeri, Arnaud Mignan, Anne Obermann, Katrin Plenkers, Martina Rosskopf, Francisco Serbeto, Paul Antony Selvadurai, Alexis Shakas, Linus Villiger, Quinn Wenning, Alba Zappone, Jordan Aaron, Hansruedi Maurer, and Domenico Giardini
EGUsphere, https://doi.org/10.5194/egusphere-2024-3882, https://doi.org/10.5194/egusphere-2024-3882, 2025
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Induced earthquakes present a major obstacle for developing geoenergy resources. These occur during hydraulic stimulations that enhance fluid pathways in the rock. In the Bedretto Underground Laboratory, hydraulic stimulations are investigated in a downscaled manner. A workflow to analyse the hazard of induced earthquakes is applied at different stages of the test program. The hazard estimates illustrate the difficulty to reduce the uncertainty owing to the variable seismogenic responses.
Elena F. Manea, Laurentiu Danciu, Carmen O. Cioflan, Dragos Toma-Danila, and Matthew C. Gerstenberger
Nat. Hazards Earth Syst. Sci., 25, 1–12, https://doi.org/10.5194/nhess-25-1-2025, https://doi.org/10.5194/nhess-25-1-2025, 2025
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We test and evaluate the results of the 2020 European Seismic Hazard Model (ESHM20) against observations spanning a few centuries at 12 cities in Romania. The full distributions of the hazard curves at the given locations were considered, and the testing was performed for two relevant peak ground acceleration (PGA) values. Our analysis suggests that the observed exceedance rates for the selected PGA levels are consistent with ESHM20 estimates.
Roberto Basili, Laurentiu Danciu, Céline Beauval, Karin Sesetyan, Susana Pires Vilanova, Shota Adamia, Pierre Arroucau, Jure Atanackov, Stéphane Baize, Carolina Canora, Riccardo Caputo, Michele Matteo Cosimo Carafa, Edward Marc Cushing, Susana Custódio, Mine Betul Demircioglu Tumsa, João C. Duarte, Athanassios Ganas, Julián García-Mayordomo, Laura Gómez de la Peña, Eulàlia Gràcia, Petra Jamšek Rupnik, Hervé Jomard, Vanja Kastelic, Francesco Emanuele Maesano, Raquel Martín-Banda, Sara Martínez-Loriente, Marta Neres, Hector Perea, Barbara Šket Motnikar, Mara Monica Tiberti, Nino Tsereteli, Varvara Tsironi, Roberto Vallone, Kris Vanneste, Polona Zupančič, and Domenico Giardini
Nat. Hazards Earth Syst. Sci., 24, 3945–3976, https://doi.org/10.5194/nhess-24-3945-2024, https://doi.org/10.5194/nhess-24-3945-2024, 2024
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This study presents the European Fault-Source Model 2020 (EFSM20), a dataset of 1248 geologic crustal faults and four subduction systems, each having the necessary parameters to forecast long-term earthquake occurrences in the European continent. This dataset constituted one of the main inputs for the recently released European Seismic Hazard Model 2020, a key instrument to mitigate seismic risk in Europe. EFSM20 adopts recognized open-standard formats, and it is openly accessible and reusable.
Mario A. Salgado-Gálvez, Mario Ordaz, Benjamín Huerta, Osvaldo Garay, Carlos Avelar, Ettore Fagà, Mohsen Kohrangi, Paola Ceresa, Georgios Triantafyllou, and Ulugbek T. Begaliev
Nat. Hazards Earth Syst. Sci., 24, 3851–3868, https://doi.org/10.5194/nhess-24-3851-2024, https://doi.org/10.5194/nhess-24-3851-2024, 2024
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Central Asia is prone to earthquake losses, which can heavily impact different types of assets. This paper presents the details of a probabilistic earthquake risk model which made use of a regionally consistent approach to assess feasible earthquake losses in five countries. Results are presented in terms of commonly used risk metrics, which are aimed at facilitating a policy dialogue regarding different disaster risk management strategies, from risk mitigation to disaster risk financing.
Laurentiu Danciu, Domenico Giardini, Graeme Weatherill, Roberto Basili, Shyam Nandan, Andrea Rovida, Céline Beauval, Pierre-Yves Bard, Marco Pagani, Celso G. Reyes, Karin Sesetyan, Susana Vilanova, Fabrice Cotton, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 3049–3073, https://doi.org/10.5194/nhess-24-3049-2024, https://doi.org/10.5194/nhess-24-3049-2024, 2024
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The 2020 European Seismic Hazard Model (ESHM20) is the latest seismic hazard assessment update for the Euro-Mediterranean region. This state-of-the-art model delivers a broad range of hazard results, including hazard curves, maps, and uniform hazard spectra. ESHM20 provides two hazard maps as informative references in the next update of the European Seismic Design Code (CEN EC8), and it also provides a key input to the first earthquake risk model for Europe.
Peter Achtziger-Zupančič, Alberto Ceccato, Alba Simona Zappone, Giacomo Pozzi, Alexis Shakas, Florian Amann, Whitney Maria Behr, Daniel Escallon Botero, Domenico Giardini, Marian Hertrich, Mohammadreza Jalali, Xiaodong Ma, Men-Andrin Meier, Julian Osten, Stefan Wiemer, and Massimo Cocco
Solid Earth, 15, 1087–1112, https://doi.org/10.5194/se-15-1087-2024, https://doi.org/10.5194/se-15-1087-2024, 2024
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We detail the selection and characterization of a fault zone for earthquake experiments in the Fault Activation and Earthquake Ruptures (FEAR) project at the Bedretto Lab. FEAR, which studies earthquake processes, overcame data collection challenges near faults. The fault zone in Rotondo granite was selected based on geometry, monitorability, and hydro-mechanical properties. Remote sensing, borehole logging, and geological mapping were used to create a 3D model for precise monitoring.
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karaev, Paola Ceresa, and Paolo Bazzurro
Nat. Hazards Earth Syst. Sci., 24, 2597–2613, https://doi.org/10.5194/nhess-24-2597-2024, https://doi.org/10.5194/nhess-24-2597-2024, 2024
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As part of the Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia (SFRARR) programme, funded by the European Union in collaboration with the World Bank and GFDRR, a regionally consistent probabilistic multi-hazard and multi-asset risk assessment has been developed. This paper describes the preparation of the input datasets (earthquake catalogue and active-fault database) required for the implementation of the probabilistic seismic hazard model.
Konstantinos Trevlopoulos, Pierre Gehl, Caterina Negulescu, Helen Crowley, and Laurentiu Danciu
Nat. Hazards Earth Syst. Sci., 24, 2383–2401, https://doi.org/10.5194/nhess-24-2383-2024, https://doi.org/10.5194/nhess-24-2383-2024, 2024
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The models used to estimate the probability of exceeding a level of earthquake damage are essential to the reduction of disasters. These models consist of components that may be tested individually; however testing these types of models as a whole is challenging. Here, we use observations of damage caused by the 2019 Le Teil earthquake and estimations from other models to test components of seismic risk models.
Graeme Weatherill, Sreeram Reddy Kotha, Laurentiu Danciu, Susana Vilanova, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci., 24, 1795–1834, https://doi.org/10.5194/nhess-24-1795-2024, https://doi.org/10.5194/nhess-24-1795-2024, 2024
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The ground motion models (GMMs) selected for the 2020 European Seismic Hazard Model (ESHM20) and their uncertainties require adaptation to different tectonic environments. Using insights from new data, local experts and developments in the scientific literature, we further calibrate the ESHM20 GMM logic tree to capture previously unmodelled regional variation. We also propose a new scaled-backbone logic tree for application to Europe's subduction zones and the Vrancea deep seismic source.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Vakhitkhan Ismailov, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Faga
Nat. Hazards Earth Syst. Sci., 24, 929–945, https://doi.org/10.5194/nhess-24-929-2024, https://doi.org/10.5194/nhess-24-929-2024, 2024
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Central Asia is highly exposed to multiple hazards, including earthquakes, floods and landslides, for which risk reduction strategies are currently under development. We provide a regional-scale database of assets at risk, including population and residential buildings, based on existing information and recent data collected for each Central Asian country. The population and number of buildings are also estimated for the year 2080 to support the definition of disaster risk reduction strategies.
Maren Böse, Laurentiu Danciu, Athanasios Papadopoulos, John Clinton, Carlo Cauzzi, Irina Dallo, Leila Mizrahi, Tobias Diehl, Paolo Bergamo, Yves Reuland, Andreas Fichtner, Philippe Roth, Florian Haslinger, Frédérick Massin, Nadja Valenzuela, Nikola Blagojević, Lukas Bodenmann, Eleni Chatzi, Donat Fäh, Franziska Glueer, Marta Han, Lukas Heiniger, Paulina Janusz, Dario Jozinović, Philipp Kästli, Federica Lanza, Timothy Lee, Panagiotis Martakis, Michèle Marti, Men-Andrin Meier, Banu Mena Cabrera, Maria Mesimeri, Anne Obermann, Pilar Sanchez-Pastor, Luca Scarabello, Nicolas Schmid, Anastasiia Shynkarenko, Bozidar Stojadinović, Domenico Giardini, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 583–607, https://doi.org/10.5194/nhess-24-583-2024, https://doi.org/10.5194/nhess-24-583-2024, 2024
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Seismic hazard and risk are time dependent as seismicity is clustered and exposure can change rapidly. We are developing an interdisciplinary dynamic earthquake risk framework for advancing earthquake risk mitigation in Switzerland. This includes various earthquake risk products and services, such as operational earthquake forecasting and early warning. Standardisation and harmonisation into seamless solutions that access the same databases, workflows, and software are a crucial component.
Chiara Scaini, Alberto Tamaro, Baurzhan Adilkhan, Satbek Sarzhanov, Zukhritdin Ergashev, Ruslan Umaraliev, Mustafo Safarov, Vladimir Belikov, Japar Karayev, and Ettore Fagà
Nat. Hazards Earth Syst. Sci., 24, 355–373, https://doi.org/10.5194/nhess-24-355-2024, https://doi.org/10.5194/nhess-24-355-2024, 2024
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Central Asia is prone to multiple hazards such as floods, landslides and earthquakes, which can affect a wide range of assets at risk. We develop the first regionally consistent database of assets at risk for non-residential buildings, transportation and croplands in Central Asia. The database combines global and regional data sources and country-based information and supports the development of regional-scale disaster risk reduction strategies for the Central Asia region.
Irina Dallo, Michèle Marti, Nadja Valenzuela, Helen Crowley, Jamal Dabbeek, Laurentiu Danciu, Simone Zaugg, Fabrice Cotton, Domenico Giardini, Rui Pinho, John F. Schneider, Céline Beauval, António A. Correia, Olga-Joan Ktenidou, Päivi Mäntyniemi, Marco Pagani, Vitor Silva, Graeme Weatherill, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 291–307, https://doi.org/10.5194/nhess-24-291-2024, https://doi.org/10.5194/nhess-24-291-2024, 2024
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For the release of cross-country harmonised hazard and risk models, a communication strategy co-defined by the model developers and communication experts is needed. The strategy should consist of a communication concept, user testing, expert feedback mechanisms, and the establishment of a network with outreach specialists. Here we present our approach for the release of the European Seismic Hazard Model and European Seismic Risk Model and provide practical recommendations for similar efforts.
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
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Estimates of the earthquake ground motions expected during the lifetime of a building or the length of an insurance policy are frequently calculated for locations around the world. Estimates for the same location from different studies can show large differences. These differences affect engineering, financial and risk management decisions. We apply various approaches to understand when such differences have an impact on such decisions and when they are expected because data are limited.
Christophe Lienert, Franziska Angly Bieri, Irina Dallo, and Michèle Marti
Abstr. Int. Cartogr. Assoc., 5, 154, https://doi.org/10.5194/ica-abs-5-154-2022, https://doi.org/10.5194/ica-abs-5-154-2022, 2022
Xiaodong Ma, Marian Hertrich, Florian Amann, Kai Bröker, Nima Gholizadeh Doonechaly, Valentin Gischig, Rebecca Hochreutener, Philipp Kästli, Hannes Krietsch, Michèle Marti, Barbara Nägeli, Morteza Nejati, Anne Obermann, Katrin Plenkers, Antonio P. Rinaldi, Alexis Shakas, Linus Villiger, Quinn Wenning, Alba Zappone, Falko Bethmann, Raymi Castilla, Francisco Seberto, Peter Meier, Thomas Driesner, Simon Loew, Hansruedi Maurer, Martin O. Saar, Stefan Wiemer, and Domenico Giardini
Solid Earth, 13, 301–322, https://doi.org/10.5194/se-13-301-2022, https://doi.org/10.5194/se-13-301-2022, 2022
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Questions on issues such as anthropogenic earthquakes and deep geothermal energy developments require a better understanding of the fractured rock. Experiments conducted at reduced scales but with higher-resolution observations can shed some light. To this end, the BedrettoLab was recently established in an existing tunnel in Ticino, Switzerland, with preliminary efforts to characterize realistic rock mass behavior at the hectometer scale.
Mauro Häusler, Paul Richmond Geimer, Riley Finnegan, Donat Fäh, and Jeffrey Ralston Moore
Earth Surf. Dynam., 9, 1441–1457, https://doi.org/10.5194/esurf-9-1441-2021, https://doi.org/10.5194/esurf-9-1441-2021, 2021
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Natural rock arches are valued landmarks worldwide. As ongoing erosion can lead to rockfall and collapse, it is important to monitor the structural integrity of these landforms. One suitable technique involves measurements of resonance, produced when mainly natural sources, such as wind, vibrate the spans. Here we explore the use of two advanced processing techniques to accurately measure the resonant frequencies, damping ratios, and deflection patterns of several rock arches in Utah, USA.
Alba Zappone, Antonio Pio Rinaldi, Melchior Grab, Quinn C. Wenning, Clément Roques, Claudio Madonna, Anne C. Obermann, Stefano M. Bernasconi, Matthias S. Brennwald, Rolf Kipfer, Florian Soom, Paul Cook, Yves Guglielmi, Christophe Nussbaum, Domenico Giardini, Marco Mazzotti, and Stefan Wiemer
Solid Earth, 12, 319–343, https://doi.org/10.5194/se-12-319-2021, https://doi.org/10.5194/se-12-319-2021, 2021
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The success of the geological storage of carbon dioxide is linked to the availability at depth of a capable reservoir and an impermeable caprock. The sealing capacity of the caprock is a key parameter for long-term CO2 containment. Faults crosscutting the caprock might represent preferential pathways for CO2 to escape. A decameter-scale experiment on injection in a fault, monitored by an integrated network of multiparamerter sensors, sheds light on the mobility of fluids within the fault.
Camilla Rossi, Francesco Grigoli, Simone Cesca, Sebastian Heimann, Paolo Gasperini, Vala Hjörleifsdóttir, Torsten Dahm, Christopher J. Bean, Stefan Wiemer, Luca Scarabello, Nima Nooshiri, John F. Clinton, Anne Obermann, Kristján Ágústsson, and Thorbjörg Ágústsdóttir
Adv. Geosci., 54, 129–136, https://doi.org/10.5194/adgeo-54-129-2020, https://doi.org/10.5194/adgeo-54-129-2020, 2020
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We investigate the microseismicity occurred at Hengill area, a complex tectonic and geothermal site, where the origin of earthquakes may be either natural or anthropogenic. We use a very dense broadband seismic monitoring network and apply full-waveform based method for location. Our results and first characterization identified different types of microseismic clusters, which might be associated to either production/injection or the tectonic activity of the geothermal area.
Cited articles
Akkar, S. and Bommer, J. J.: Empirical equations for the prediction of PGA, PGV, and spectral accelerations in Europe, the mediterranean region, and the Middle East, Seismol. Res. Lett., 81, 195–206, https://doi.org/10.1785/gssrl.81.2.195, 2010.
ARCADIS: International Construction Costs, https://www.arcadis.com/-/media/project/arcadiscom/com/perspectives/asia/publications/other-research-and-publications/international-construction-cost-2019.pdf (last access: 19 September 2024), 2019.
Avila, L., Vasconcelos, G., Lourenço, P. B., Mendes, N., and Alves, P.: Seismic response analysis of concrete block masonry buildings: An experimental study using shaking table, 15th World Conf. Earthq. Eng., 2012.
Baumont, D., Manchuel, K., Traversa, P., Durouchoux, C., Nayman, E., and Ameri, G.: Intensity predictive attenuation models calibrated in Mw for metropolitan France, Bull. Earthq. Eng., 16, 2285–2310, https://doi.org/10.1007/s10518-018-0344-6, 2018.
Bentele, G. and Nothhaft, H.: Konzeption von Kommunikationsprogrammen, in: Handbuch Unternehmenskommunikation, Gabler Verlag, Wiesbaden, 357–380, https://doi.org/10.1007/978-3-8349-9164-5_18, 2007.
Bergamo, P., Fäh, D., Panzera, F., Cauzzi, C. V., Glueer, F., Perron, V., and 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.
Bernardini, A., Lagomarsino, S., Mannella, A., Martinelli, A., Milano, L., Parodi, S., and Troffaes, M.: Forecasting seismic damage scenarios of residential buildings from rough inventories: a case study in the Abruzzo Region (Italy), Proc. Inst. Mech. Eng., 4, 279–296, https://doi.org/10.1243/1748006XJRR305, 2010.
Bindi, D., Parolai, S., Oth, A., Abdrakhmatov, K., Muraliev, A., and Zschau, J.: Intensity prediction equations for Central Asia, Geophys. J. Int., 187, 327–337, https://doi.org/10.1111/j.1365-246X.2011.05142.x, 2011.
Bommer, J. J. and Crowley, H.: The Purpose and Definition of the Minimum Magnitude Limit in PSHA Calculations, Seismol. Res. Lett., 88, 1097–1106, https://doi.org/10.1785/0220170015, 2017.
Cardona, O. D., Ordaz, M. G., Mora, M. G., Salgado-Gálvez, M. A., Bernal, G. A., Zuloaga-Romero, D., Marulanda Fraume, M. C., Yamín, L., and González, D.: Global risk assessment: A fully probabilistic seismic and tropical cyclone wind risk assessment, Int. J. Disaster Risk Reduct., 10, 461–476, https://doi.org/10.1016/j.ijdrr.2014.05.006, 2014.
Cardone, D.: Fragility curves and loss functions for RC structural components with smooth rebars, Earthq. Struct., 10, 1181–1212, https://doi.org/10.12989/eas.2016.10.5.1181, 2016.
Cardone, D. and Perrone, G.: Developing fragility curves and loss functions for masonry infill walls, Earthquakes Struct., 9, 257–279, https://doi.org/10.12989/eas.2015.9.1.000, 2015.
Cauzzi, C. and Faccioli, E.: Broadband (0.05 to 20 s) prediction of displacement response spectra based on worldwide digital records, J. Seismol., 12, 453–475, https://doi.org/10.1007/s10950-008-9098-y, 2008.
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.
Chiou, B.-J. and Youngs, R. R.: An NGA Model for the Average Horizontal Component of Peak Ground Motion and Response Spectra, Earthq. Spectra, 24, 173–215, https://doi.org/10.1193/1.2894832, 2008.
Comune di Milano and Regione Lombardia: Public Works Pricelist, Prezzario regionale delle opere pubbliche, edizione 2021, Volume 1.1, Milano, https://www.regione.lombardia.it/wps/wcm/connect/27c2798c-b12b-490a-8499-1bdbb8e6e76b/Prezzario+2021.zip?MOD=AJP ERES&CACHEID=ROOTWORKSPACE-27c2798c-b12b-490a-8499-1bdbb8e6e76b-oUug6Ea (last access: 19 September 2024), 2021.
Crowley, H., Dabbeek, J., Despotaki, V., Rodrigues, D., Martins, L., Silva, V., Romao, X., Pereira, N., Weatherill, G., and Danciu, L.: European Seismic Risk Model (ESRM20), https://doi.org/10.7414/EUC-EFEHR-TR002-ESRM20, 2021.
Dallo, I., Stauffacher, M., and Marti, M.: Actionable and understandable? Evidence-based recommendations for the design of (multi-)hazard warning messages, Int. J. Disaster Risk Reduct., 74, https://doi.org/10.1016/j.ijdrr.2022.102917, 2022.
Dallo, I., Schnegg, L. N., and Marti, M.: The design of user-centred seismic risk maps – the Swiss case, EGU General Assembly 2023, Vienna, Austria, 24–28 April 2023, EGU23-3241, https://doi.org/10.5194/egusphere-egu23-3241, 2023.
Dallo, I., Schnegg, L. N., and Marti, M, Fulda, D., Papadopoulos, A. N., Roth, P., Danciu, L., Valenzuela, N., Wenk, S. R., Bergamo, P., Haslinger, F., Fäh, D., Kästli, P., and Wiemer, S.: Designing understandable, action-oriented, and well-perceived earthquake risk maps – The Swiss case study, Front. Commun., 8, 1306104, https://doi.org/10.3389/fcomm.2023.1306104, 2024a.
Dallo, I., Marti, M., Valenzuela, N., Crowley, H., Dabbeek, J., Danciu, L., Zaugg, S., Cotton, F., Giardini, D., Pinho, R., Schneider, J. F., Beauval, C., Correia, A. A., Ktenidou, O.-J., Mäntyniemi, P., Pagani, M., Silva, V., Weatherill, G., and Wiemer, S.: The communication strategy for the release of the first European Seismic Risk Model and the updated European Seismic Hazard Model, Nat. Hazards Earth Syst. Sci., 24, 291–307, https://doi.org/10.5194/nhess-24-291-2024, 2024b.
Daniell, J. E., Schaefer, A. M., and Wenzel, F.: Losses associated with secondary effects in earthquakes, Front. Built Environ., 3, 1–14, https://doi.org/10.3389/fbuil.2017.00030, 2017.
Diana, L., Thiriot, J., Reuland, Y., and Lestuzzi, P.: Application of Association Rules to Determine Building Typological Classes for Seismic Damage Predictions at Regional Scale: The Case Study of Basel, Front. Built Environ., 19, 2999–3032, https://doi.org/10.3389/fbuil.2019.00051, 2019.
Di Ludovico, M., Prota, A., Moroni, C., Manfredi, G., and Dolce, M.: Reconstruction process of damaged residential buildings outside historical centres after the L’Aquila earthquake: part I-“light damage” reconstruction, Bull. Earthq. Eng., 15, 667–692, https://doi.org/10.1007/s10518-016-9877-8, 2017a.
Di Ludovico, M., Prota, A., Moroni, C., Manfredi, G., and Dolce, M.: Reconstruction process of damaged residential buildings outside historical centres after the L’Aquila earthquake: part II—“heavy damage” reconstruction, Bull. Earthq. Eng., 15, 693–729, https://doi.org/10.1007/s10518-016-9979-3, 2017b.
Dolce, M., Prota, A., Borzi, B., da Porto, F., Lagomarsino, S., Magenes, G., Moroni, C., Penna, A., Polese, M., Speranza, E., Verderame, G. M., and Zuccaro, G.: Seismic risk assessment of residential buildings in Italy, Springer Netherlands, 2999–3032, https://doi.org/10.1007/s10518-020-01009-5, 2021.
Dryhurst, S., Luoni, G., Dallo, I., Freeman, A. L. J., and Marti, M.: Designing & implementing the seismic portion of dynamic risk communication for long-term risks, variable short-term risks, early warnings (Society: Data Gathering and Information Sharing with the Public and Policy-Makers) [Deliverable], European Horizon-2020 project RISE, http://static.seismo.ethz.ch/rise/deliverables/Deliverable_5.3.pdf (last access: 17 September 2024), 92, 948, 2021.
Edwards, B. and Fäh, D.: A Stochastic ground-motion model for Switzerland, Bull. Seismol. Soc. Am., 103, 78–98, https://doi.org/10.1785/0120110331, 2013.
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, https://doi.org/10.1785/0220120176, 2013.
Edwards, B., Cauzzi, C., Danciu, L., and Fäh, D.: Region-Specific Assessment, Adjustment, and Weighting of Ground-Motion Prediction Models: Application to the 2015 Swiss Seismic-Hazard Maps, Bull. Seismol. Soc. Am., 106, 1840–1857, https://doi.org/10.1785/0120150367, 2016.
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, https://doi.org/10.1111/j.1365-246X.2009.04467.x, 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, https://doi.org/10.1111/j.1365-246X.2011.05125.x, 2011.
Fäh, D., Gisler, M., Jaggi, B., Kästli, P., Lutz, T., Masciadri, V., Matt, C., Mayer-Rosa, D., Rippmann, D., Schwarz-Zanetti, G., Tauber, J., and Wenk, T.: The 1356 Basel earthquake: An interdisciplinary revision, Geophys. J. Int., 178, 351–374, https://doi.org/10.1111/j.1365-246X.2009.04130.x, 2009.
Fäh, D., Giardini, D., Kästli, P., Deichmann, N., Gisler, M., Schwarz-Zanetti, G., Alvarez-Rubio, S., Sellami, S., Edwards, B., and Allmann, B.: ECOS-09 earthquake catalogue of Switzerland release 2011 report and database, Public catalogue, http://ecos09.seismo.ethz.ch/index.html (last access: 19 September 2024), 17 April 2011, 1–42, 2011.
Federal Emergency Management Agency (FEMA): Seismic Performance Assessment of Buildings, Washington, D.C., https://www.atcouncil.org/files/FEMAP-58-1_Volume 1_Methodology.pdf (last access: 19 September 2024), 2018.
FEMA: Multi-hazard Loss Estimation Methodology Earthquake Model Hazus®-MH MR5: Technical Manual, Washington, D.C., 2010.
Field, E. H., Milner, K. R., and Porter, K. A.: Assessing the value of removing earthquake-hazard-related epistemic uncertainties, exemplified using average annual loss in California, Earthq. Spectra, 36, 1912–1929, https://doi.org/10.1177/8755293020926185, 2020.
FOCP: National risk analysis report. Disasters and Emergencies in Switzerland 2020, Bern, 60 pp., Federal Office for Civil Protection (FOCP), Guisanplatz 1B, 3003 Bern, https://backend.babs.admin.ch/fileservice/sdweb-docs-prod-babsch-files/files/2023/12/12/d52f064d-45d9-423a-9138-7c9a9b50df2d.pdf (last access: 19 September 2024), 2020.
FOEN: Earthquake Risk Model Switzerland (ERM-CH) – Subproject F, Database of building objects – Deliverable DB4, report. SPG-SPD-0015, 2021.
Fritsche, S. and Fäh, D.: The 1946 magnitude 6.1 earthquake in the Valais: site-effects as contributor to the damage, Swiss J. Geosci., 102, 423, https://doi.org/10.1007/s00015-009-1340-2, 2009.
Fritsche, S., Fäh, D., Gisler, M., and Giardini, D.: Reconstructing the damage field of the 1855 earthquake in Switzerland: Historical investigations on a well-documented event, Geophys. J. Int., 166, 719–731, https://doi.org/10.1111/j.1365-246X.2006.02994.x, 2006.
Global Earthquake Model Foundation: OpenQuake Engine, GitHub [code], https://github.com/gem/oq-engine/, last access: 13 October 2024.
Grünthal, G.: European Macroseismic Scale 1998 (EMS-98), Luxembourg, Centre Européen de Géodynamique et de Séismologie, ISBN 2-87977-008-4, 1998.
Hengl, T., Heuvelink, G. B. M., and Rossiter, D. G.: About regression-kriging: From equations to case studies, Comput. Geosci., 33, 1301–1315, https://doi.org/10.1016/j.cageo.2007.05.001, 2007.
Hobbs, T. E., Journeay, J. M., Rao, A. S., Kolaj, M., Martins, L., LeSueur, P., Simionato, M., Silva, V., Pagani, M., Johnson, K., Rotheram, D., and Chow, W.: A national seismic risk model for Canada: Methodology and scientific basis, Earthq. Spectra, 39, 1410–1434, https://doi.org/10.1177/87552930231173446, 2023.
Ho, T. K.: The random subspace method for constructing decision forests, IEEE Trans. Pattern Anal. Mach. Intell., 20, 832–844, https://doi.org/10.1109/34.709601, 1998.
Hügli, M., Zischg, A., and Keiler, M.: Modellierung von Gebäudeattributen im Rahmen des Projektes Erdbeben- risikomodell Schweiz – dritte Arbeitsphase, Bericht im Auftrag vom Bundesamt für Umwelt, EXT-TR-0017, 2021.
Jaiswal, K. S., Bausch, D., Chen, R., Bouabid, J., and Seligson, H.: Estimating annualized earthquake losses for the conterminous United States, Earthq. Spectra, 31, S221–S243, https://doi.org/10.1193/010915EQS005M, 2015.
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.
Lestuzzi, P., Podestà, S., Luchini, C., Garofano, A., Kazantzidou-Firtinidou, D., Bozzano, C., Bischof, P., Haffter, A., and Rouiller, J. D.: Seismic vulnerability assessment at urban scale for two typical Swiss cities using Risk-UE methodology, Nat. Hazards, 84, 249–269, https://doi.org/10.1007/s11069-016-2420-z, 2016.
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.
Liu, L. and Pezeshk, S.: An improvement on the estimation of pseudoresponse spectral velocity using RVT method, Bull. Seismol. Soc. Am., 89, 1384–1389, https://doi.org/10.1785/BSSA0890051384, 1999.
MacQueen, J.: Some methods for classification and analysis of multivariate observations, in: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1: Statistics, 1967.
Magenes, G. and Calvi, G. M.: In-plane seismic response of brick masonry walls, Earthq. Eng. Struct. Dyn., 26, 1091–1112, https://doi.org/10.1002/(SICI)1096-9845(199711)26:11<1091::AID-EQE693>3.0.CO;2-6, 1997.
Marques, M., Monteiro, R., and Delgado, R.: An improved model for seismic risk assessment in Portugal, Int. J. Disaster Resil. Built Environ., 9, 70–83, https://doi.org/10.1108/IJDRBE-10-2016-0040, 2018.
Marti, M., Stauffacher, M., and Wiemer, S.: Difficulties in explaining complex issues with maps: Evaluating seismic hazard communication - The Swiss case, Nat. Hazards Earth Syst. Sci., 19, 2677–2700, https://doi.org/10.5194/nhess-19-2677-2019, 2019.
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. Disaster Risk Reduct., 90, 103674, https://doi.org/10.1016/j.ijdrr.2023.103674, 2023.
Michel, C., Crowley, H., Hannewald, P., Lestuzzi, P., and Fäh, D.: Deriving fragility functions from bilinearized capacity curves for earthquake scenario modelling using the conditional spectrum, Bull. Earthq. Eng., 16, 4639–4660, https://doi.org/10.1007/s10518-018-0371-3, 2018.
Mouyiannou, A., Rota, M., Penna, A., and Magenes, G.: Identification of suitable limit states from nonlinear dynamic analyses of masonry structures, J. Earthq. Eng., 18, 231–263, https://doi.org/10.1080/13632469.2013.842190, 2014.
National Institute of Building Sciences: Natural Hazard Mitigation Saves 2019 Report, 658, https://www.nibs.org/projects/natural-hazard-mitigation-saves-2019-report (last access: 24 September 2024), 2019.
NCPD: National risk assessment: Overview of the potential major disasters in Italy: seismic, volcanic, tsunami, hydro-geological/hydraulic and extreme weather, droughts and forest fire risks, Presidency of the Council of Ministers Italian Civil Protection Department, https://www.protezionecivile.gov.it/static/5cffeb32c9803b0bddce533947555cf1/Documento_sulla_Valutazione_nazionale_dei_rischi.pdf (last access: 19 September 2024), 2018.
Ottonelli, D., Cattari, S., and Lagomarsino, S.: Displacement-Based Simplified Seismic Loss Assessment of Masonry Buildings, J. Earthq. Eng., 24, 23–59, https://doi.org/10.1080/13632469.2020.1755747, 2020.
Pagani, M., Monelli, D., Weatherill, G., Danciu, L., Crowley, H., Silva, V., Henshaw, P., Butler, L., Nastasi, M., Panzeri, L., Simionato, M., and Vigano, D.: OpenQuake Engine: An Open Hazard (and Risk) Software for the Global Earthquake Model, Seismol. Res. Lett., 85, 692–702, https://doi.org/10.1785/0220130087, 2014.
Panzera, F., Bergamo, P., and Fäh, D.: Reference soil condition for intensity prediction equations derived from seismological and geophysical data at seismic stations, J. Seismol., 25, 163–179, https://doi.org/10.1007/s10950-020-09962-z, 2021.
Papadopoulos, A. N., Vamvatsikos, D., and Kazantzi, A. K.: Development and Application of FEMA P-58 Compatible Story Loss Functions, Earthq. Spectra, 35, 95–112, https://doi.org/10.1193/102417EQS222M, 2019.
Papadopoulos, A. N., Roth, P., and Danciu, L.: Exposure manipulation strategies for optimizing computational efficiency in seismic risk analysis, Bull. Earthq. Eng., 22, 4779–4795, https://doi.org/10.1007/s10518-024-01929-6, 2024
Poggi, V., Edwards, B., and Fah, D.: Derivation of a Reference Shear-Wave Velocity Model from Empirical Site Amplification, Bull. Seismol. Soc. Am., 101, 258–274, https://doi.org/10.1785/0120100060, 2011.
Porter, K. A., Beck, J. L., and Shaikhutdinov, R. V.: Sensitivity of building loss estimates to major uncertain variables, Earthq. Spectra, 18, 719–743, https://doi.org/10.1193/1.1516201, 2002.
Porter, K. A., Farokhnia, K., Vamvatsikos, D., and Cho, I. H.: Guidelines for component- based analytical vulnerability assessment of buildings and nonstructural elements, Tech. Rep. 2014-12, GEM Foundation, Pavia, Italy, https://doi.org/10.13117/GEM.VULN-MOD.TR2014.13, 2015.
Raetz, H., Forscher, T., Kneebone, E., and Reid, C.: The Hard Costs of Construction: Recent Trends in Labor and Materials Costs for Apartment Buildings in California, California, https://ternercenter.berkeley.edu/wp-content/uploads/pdfs/Hard_Construction_Costs_March_2020.pdf (last access: 19 September 2024), 2020.
Rossi, A., Morandi, P., and Magenes, G.: A novel approach for the evaluation of the economical losses due to seismic actions on RC buildings with masonry infills, Soil Dyn. Earthq. Eng., 145, 106722, https://doi.org/10.1016/j.soildyn.2021.106722, 2021.
Röthlisberger, V., Zischg, A. P., and Keiler, M.: A comparison of building value models for flood risk analysis, Nat. Hazards Earth Syst. Sci., 18, 2431–2453, https://doi.org/10.5194/nhess-18-2431-2018, 2018.
Salgado-Gálvez, M. A., Cardona, O. D., Carreño, M. L., and Barbat, A. H.: Probabilistic seismic hazard and risk assessment in Spain: national and local level case studies, centro internacional de métodos numéricos en ingeniería, 1–215, ISBN 978-84-943307-7-3, 2015.
Silva, V., Crowley, H., Pagani, M. et al.: Development of the OpenQuake engine, the Global Earthquake Model's open-source software for seismic risk assessment, Nat. Hazards, 72, 1409–1427, https://doi.org/10.1007/s11069-013-0618-x, 2014.
Silva, A., Castro, J. M., and Monteiro, R.: A rational approach to the conversion of FEMA P-58 seismic repair costs to Europe, Earthq. Spectra, 36, 1607–1618, https://doi.org/10.1177/8755293019899964, 2020a.
Silva, V., Amo-Oduro, D., Calderon, A., Costa, C., Dabbeek, J., Despotaki, V., Martins, L., Pagani, M., Rao, A., Simionato, M., Viganò, D., Yepes-Estrada, C., Acevedo, A., Crowley, H., Horspool, N., Jaiswal, K., Journeay, M., and Pittore, M.: Development of a global seismic risk model, Earthq. Spectra, 36, 372–394, https://doi.org/10.1177/8755293019899953, 2020b.
Spence, R., So, E., Ameri, G., Akinci, A., Cocco, M., Cultrera, G., Franceschina, G., Pacor, F., Pessina, V., Lombardi, A. M., Zonno, G., Carvalho, A., Campos Costa, A., Coelho, E., Pitilakis, K., Anastasiadis, A., Kakderi, K., Alexoudi, M., Ansal, A., Erdic, M., Tonuk, G., and Demircioglu, M.: Earthquake Disaster Scenario Prediction and Loss Modelling for Urban Areas, IUSS Press, Pavia, ISBN 978-88-6198-011-2, 2007.
Turner and Townsend: International construction market survey – 2019, https://www.turnerandtownsend.com/en/perspectives/international-construction-market-survey-2019 (last access: 14 May 2020), 2019.
Tyagunov, S., Grünthal, G., Wahlström, R., Stempniewski, L., and Zschau, J.: Seismic risk mapping for Germany, Nat. Hazards Earth Syst. Sci., 6, 573–586, https://doi.org/10.5194/nhess-6-573-2006, 2006.
Wiemer, S., Giardini, D., Fäh, D., Deichmann, N., and Sellami, S.: Probabilistic seismic hazard assessment of Switzerland: Best estimates and uncertainties, J. Seismol., 13, 449–478, https://doi.org/10.1007/s10950-008-9138-7, 2009.
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), Swiss Seismological Service (SED) at ETH Zurich, 164 pp., 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., Odabaşı, O., Fagà, E., Bazzurro, P., Cauzzi, C., Hammer, C., Panzera, F., Perron, V., Marti, M., Valenzuela, N., Dallo, I., Zaugg, S., Fulda, D., Kästli, P., Schmid, N., and Haslinger, F.: Earthquake Risk Model of Switzerland ERM-CH23, Swiss Seismological Service (SED), https://doi.org/10.12686/a20, 2023.
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. N., 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.
Zhao, J. X.: Attenuation Relations of Strong Ground Motion in Japan Using Site Classification Based on Predominant Period, Bull. Seismol. Soc. Am., 96, 898–913, https://doi.org/10.1785/0120050122, 2006.
Executive editor
The paper offers an interesting case study about Switzerland's earthquake risk. It may be of interest for nation-wide studies and public management of earthquake threats.
The paper offers an interesting case study about Switzerland's earthquake risk. It may be of...
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.
The Earthquake Risk Model of Switzerland (ERM-CH23), released in early 2023, is the culmination...
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