Articles | Volume 24, issue 8
https://doi.org/10.5194/nhess-24-2667-2024
© 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-24-2667-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Aug 2024
Research article |
| 08 Aug 2024
| 08 Aug 2024
Risk-informed representative earthquake scenarios for Valparaíso and Viña del Mar, Chile
Engineering Risk Analysis Group, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany
Mauricio Monsalve
School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
Research Center for Integrated Disaster Risk Management (CIGIDEN), Santiago, Chile
Juan Camilo Gómez Zapata
Seismic Hazard and Risk Dynamics, GFZ German Research Centre for Geosciences, 14473 Potsdam, Germany
Elisa Ferrario
School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
Research Center for Integrated Disaster Risk Management (CIGIDEN), Santiago, Chile
Ricerca sul Sistema Energetico – RSE S.p.A., Milan, Italy
Alan Poulos
Department of Civil and Environmental Engineering, Stanford University, Stanford, California, USA
Juan Carlos de la Llera
Research Center for Integrated Disaster Risk Management (CIGIDEN), Santiago, Chile
Department of Structural and Geotechnical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile
Daniel Straub
Engineering Risk Analysis Group, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany
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Khelly Shan Sta. Rita, Sotiris Valkaniotis, and Alfredo Mahar Francisco Lagmay
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Qing Wu, Guijuan Lai, Jian Wu, and Jinmeng Bi
Nat. Hazards Earth Syst. Sci., 24, 1017–1033, https://doi.org/10.5194/nhess-24-1017-2024, https://doi.org/10.5194/nhess-24-1017-2024, 2024
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Lixin Wu, Xiao Wang, Yuan Qi, Jingchen Lu, and Wenfei Mao
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The atmospheric electric field (AEF) is the bridge connecting the surface charges and atmospheric particle changes before an earthquake, which is essential for the study of the coupling process between the coversphere and atmosphere caused by earthquakes. This study discovers AEF anomalies before the Luding earthquake in 2022 and clarifies the relationship between the surface changes and atmosphere changes possibly caused by the earthquake.
Polona Zupančič, Barbara Šket Motnikar, Michele M. C. Carafa, Petra Jamšek Rupnik, Mladen Živčić, Vanja Kastelic, Gregor Rajh, Martina Čarman, Jure Atanackov, and Andrej Gosar
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We considered two parameters that affect seismic hazard assessment in Slovenia. The first parameter we determined is the thickness of the lithosphere's section where earthquakes are generated. The second parameter is the activity of each fault, which is expressed by its average displacement per year (slip rate). Since the slip rate can be either seismic or aseismic, we estimated both components. This analysis was based on geological and seismological data and was validated through comparisons.
Morgan Vervoort, Katleen Wils, Kris Vanneste, Roberto Urrutia, Mario Pino, Catherine Kissel, Marc De Batist, and Maarten Van Daele
EGUsphere, https://doi.org/10.5194/egusphere-2024-8, https://doi.org/10.5194/egusphere-2024-8, 2024
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This study identified 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 modelling we found that this was a magnitude 5.6 to 6.8 earthquake on a fault near the city of Coyhaique.
Maren Böse, Laurentiu Danciu, Athanasios Papadopoulos, John Clinton, Carlo Cauzzi, Irina Dallo, Leila Mizrahi, Tobias Diehl, Paolo Bergamo, Yves Reuland, Andreas Fichtner, Philippe Roth, Florian Haslinger, Frédérick Massin, Nadja Valenzuela, Nikola Blagojević, Lukas Bodenmann, Eleni Chatzi, Donat Fäh, Franziska Glueer, Marta Han, Lukas Heiniger, Paulina Janusz, Dario Jozinović, Philipp Kästli, Federica Lanza, Timothy Lee, Panagiotis Martakis, Michèle Marti, Men-Andrin Meier, Banu Mena Cabrera, Maria Mesimeri, Anne Obermann, Pilar Sanchez-Pastor, Luca Scarabello, Nicolas Schmid, Anastasiia Shynkarenko, Bozidar Stojadinović, Domenico Giardini, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 583–607, https://doi.org/10.5194/nhess-24-583-2024, https://doi.org/10.5194/nhess-24-583-2024, 2024
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Seismic hazard and risk are time dependent as seismicity is clustered and exposure can change rapidly. We are developing an interdisciplinary dynamic earthquake risk framework for advancing earthquake risk mitigation in Switzerland. This includes various earthquake risk products and services, such as operational earthquake forecasting and early warning. Standardisation and harmonisation into seamless solutions that access the same databases, workflows, and software are a crucial component.
Rimali Mitra, Hajime Naruse, and Tomoya Abe
Nat. Hazards Earth Syst. Sci., 24, 429–444, https://doi.org/10.5194/nhess-24-429-2024, https://doi.org/10.5194/nhess-24-429-2024, 2024
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This study estimates the behavior of the 2011 Tohoku-oki tsunami from its deposit distributed in the Joban coastal area. In this study, the flow characteristics of the tsunami were reconstructed using the DNN (deep neural network) inverse model, suggesting that the tsunami inundation occurred in the very high-velocity condition.
Sedat İnan, Hasan Çetin, and Nurettin Yakupoğlu
Nat. Hazards Earth Syst. Sci., 24, 397–409, https://doi.org/10.5194/nhess-24-397-2024, https://doi.org/10.5194/nhess-24-397-2024, 2024
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Two devastating earthquakes, Mw 7.7 and Mw 7.6, occurred in Türkiye on 6 February 2023. We obtained commercially bottled waters from two springs, 100 km from the epicenter of Mw 7.7. Samples of the first spring emanating from fault zone in hard rocks showed positive anomalies in major ions lasting for 6 months before the earthquake. Samples from the second spring accumulated in an alluvium deposit showed no anomalies. We show that pre-earthquake anomalies are geologically site-dependent.
Sylvain Michel, Clara Duverger, Laurent Bollinger, Jorge Jara, and Romain Jolivet
Nat. Hazards Earth Syst. Sci., 24, 163–177, https://doi.org/10.5194/nhess-24-163-2024, https://doi.org/10.5194/nhess-24-163-2024, 2024
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The Upper Rhine Graben, located in France and Germany, is bordered by north–south-trending faults, posing a potential threat to dense population and infrastructures on the Alsace plain. We build upon previous seismic hazard studies of the graben by exploring uncertainties in greater detail, revisiting a number of assumptions. There is a 99 % probability that a maximum-magnitude earthquake would be below 7.3 if assuming a purely dip-slip mechanism or below 7.6 if assuming a strike-slip one.
Melody Philippon, Jean Roger, Jean Frédéric Lebrun, Isabelle Thinon, Océane Foix, Stéphane Mazzotti, Marc-André Gutscher, Leny Montheil, and Jean-Jacques Cornée
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-222, https://doi.org/10.5194/nhess-2023-222, 2024
Revised manuscript accepted for NHESS
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Using novel geophysical datasets we reassess the slip rate of the Morne Piton Fault (Lesser Antilles) at 0.2 mm.yr-1, dividing by five previous estimations and thus increasing the earthquake time recurrence and lowering the associated hazard. We evaluate a plausible magnitude for a potential seismic event of Mw 6.5 ± 0.5. Our multi-segment tsunami model representative for the worst-case scenario gives an overview of tsunami generation if the whole Fault segments would ruptured together.
Edlira Xhafaj, Chung-Han Chan, and Kuo-Fong Ma
Nat. Hazards Earth Syst. Sci., 24, 109–119, https://doi.org/10.5194/nhess-24-109-2024, https://doi.org/10.5194/nhess-24-109-2024, 2024
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Our study introduces new earthquake forecasting models for Albania, aiming to map out future seismic hazards. By analysing earthquakes from 1960 to 2006, we have developed models that predict where activity is most likely to occur, highlighting the western coast and southern regions as high-hazard zones. Our validation process confirms these models are effective tools for anticipating seismic events, offering valuable insights for earthquake preparedness and hazard assessment efforts.
Himanshu Agrawal and John McCloskey
EGUsphere, https://doi.org/10.22541/essoar.169504548.82107207/v1, https://doi.org/10.22541/essoar.169504548.82107207/v1, 2024
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Rapidly growing cities in earthquake-prone Global South regions lack seismic event records, hindering accurate ground motion predictions for hazard assessment. Our study shows that even with these limitations, it is possible to generate reasonable predictions of the spatial variability in expected ground motions using high-resolution local geological information and simulation-based methods. We emphasize that substantial investments in the measurement of subsurface properties can prove valuable.
Laurentiu Danciu, Domenico Giardini, Graeme Weatherill, Roberto Basili, Shyam Nandan, Andrea Rovida, Céline Beauval, Pierre-Yves Bard, Marco Pagani, Celso Guillermo Reyes, Karin Sesetyan, Susana Vilanova, Fabrice Cotton, and Stefan Wiemer
EGUsphere, https://doi.org/10.5194/egusphere-2023-3062, https://doi.org/10.5194/egusphere-2023-3062, 2024
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The 2020 European Seismic Hazard Model (ESHM20) is the latest seismic hazard assessment update for the Euro-Mediterranean region. This state-of-the-art model delivers a broad range of hazard results, including hazard curves, maps, and uniform hazard spectra. ESHM20 provides two hazard maps as informative reference in the next update of the European Seismic Design Codes (CEN EC8) and it also provides a key input to the first earthquake risk model for Europe (Crowley et al., 2021).
Niranjan Joshi, Björn Lund, and Roland Roberts
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-213, https://doi.org/10.5194/nhess-2023-213, 2023
Revised manuscript under review for NHESS
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Few large earthquakes and low occurrence rates makes seismic hazard assessment of Sweden a challenging task. Since 2000, expansion of the seismic network has improved the quality and quantity of the data recorded. We use this new data to estimate the Swedish seismic hazard using probabilistic methods. We find that hazard was previously underestimated in the north, which we find to have the highest hazard in Sweden with mean peak ground acceleration of up to 0.05 g for a 475 year return period.
Franz Livio, Maria Francesca Ferrario, Elisa Martinelli, Sahra Talamo, Silvia Cercatillo, and Alessandro Maria Michetti
Nat. Hazards Earth Syst. Sci., 23, 3407–3424, https://doi.org/10.5194/nhess-23-3407-2023, https://doi.org/10.5194/nhess-23-3407-2023, 2023
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Here we document the occurrence of an historical earthquake that occurred in the European western Southern Alps in the sixth century CE. Analysis of the effects due to earthquake shaking in the city of Como (N Italy) and a comparison with dated offshore landslides in the Alpine lakes allowed us to make an inference about the possible magnitude and the location of the seismic source for this event.
Graeme Weatherill, Fabrice Cotton, Guillaume Daniel, Irmela Zentner, Pablo Iturrieta, and Christian Bosse
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-98, https://doi.org/10.5194/nhess-2023-98, 2023
Revised manuscript under review for NHESS
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New generations of seismic hazard models are developed with sophisticated approaches to quantify uncertainties in our knowledge of earthquake process. To understand why and how recent state-of-the-art seismic hazard models for France, Germany and Europe differ despite similar underlying assumptions, we present a systematic approach to investigate model-to-model differences and to quantify and visualise them while accounting for their respective uncertainties.
Simone Francesco Fornasari, Deniz Ertuncay, and Giovanni Costa
Nat. Hazards Earth Syst. Sci., 23, 3219–3234, https://doi.org/10.5194/nhess-23-3219-2023, https://doi.org/10.5194/nhess-23-3219-2023, 2023
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We analysed the background seismic noise for the Italian strong motion network by developing the Italian accelerometric low- and high-noise models. Spatial and temporal variations of the noise levels have been analysed. Several stations located near urban areas are affected by human activities, with high noise levels in the low periods. Our results provide an overview of the background noise of the strong motion network and can be used as a station selection criterion for future research.
Subash Ghimire, Philippe Guéguen, Adrien Pothon, and Danijel Schorlemmer
Nat. Hazards Earth Syst. Sci., 23, 3199–3218, https://doi.org/10.5194/nhess-23-3199-2023, https://doi.org/10.5194/nhess-23-3199-2023, 2023
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This study explores the efficacy of several machine learning models for damage characterization, trained and tested on the Database of Observed Damage (DaDO) for Italian earthquakes. Reasonable damage prediction effectiveness (68 % accuracy) is observed, particularly when considering basic structural features and grouping the damage according to the traffic-light-based system used during the post-disaster period (green, yellow, and red), showing higher relevancy for rapid damage prediction.
Ekbal Hussain, Endra Gunawan, Nuraini Rahma Hanifa, and Qori'atu Zahro
Nat. Hazards Earth Syst. Sci., 23, 3185–3197, https://doi.org/10.5194/nhess-23-3185-2023, https://doi.org/10.5194/nhess-23-3185-2023, 2023
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The earthquake potential of the Lembang Fault, located near the city of Bandung in West Java, Indonesia, is poorly understood. Bandung has a population of over 8 million people. We used satellite data to estimate the energy storage on the fault and calculate the likely size of potential future earthquakes. We use simulations to show that 1.9–2.7 million people would be exposed to high levels of ground shaking in the event of a major earthquake on the fault.
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karayev, Paola Ceresa, Marco Santulin, and Paolo Bazzurro
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-132, https://doi.org/10.5194/nhess-2023-132, 2023
Revised manuscript under review for NHESS
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A regionally consistent probabilistic risk assessment for multiple hazards and assets was recently developed as part of the "Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia" (SFRARR) program, promoted by the European Union in collaboration with the World Bank and GFDRR. This paper describes the preparation of the source model and presents the main results of the probabilistic earthquake model for the Central Asian countries.
Roberto Basili, Laurentiu Danciu, Céline Beauval, Karin Sesetyan, Susana Pires Vilanova, Shota Adamia, Pierre Arroucau, Jure Atanackov, Stephane Baize, Carolina Canora, Riccardo Caputo, Michele Matteo Cosimo Carafa, Edward Marc Cushing, Susana Custódio, Mine Betul Demircioglu Tumsa, João C. Duarte, Athanassios Ganas, Julián García-Mayordomo, Laura Gómez de la Peña, Eulàlia Gràcia, Petra Jamšek Rupnik, Hervé Jomard, Vanja Kastelic, Francesco Emanuele Maesano, Raquel Martín-Banda, Sara Martínez-Loriente, Marta Neres, Hector Perea, Barbara Šket Motnikar, Mara Monica Tiberti, Nino Tsereteli, Varvara Tsironi, Roberto Vallone, Kris Vanneste, Polona Zupančič, and Domenico Giardini
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-118, https://doi.org/10.5194/nhess-2023-118, 2023
Revised manuscript under review for NHESS
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This study presents the European Fault-Source Model 2020 (EFSM20), a dataset of 1,248 geologic crustal faults and four subduction systems, each having the necessary parameters to forecast long-term earthquake occurrences in the European continent. This dataset constituted one of the main inputs for the recently released European Seismic Hazard Model 2020, a key instrument to mitigate seismic risk in Europe. EFSM20 adopts recognized open-standard formats, and it is openly accessible and reusable.
Huaiqun Zhao, Wenkai Chen, Can Zhang, and Dengjie Kang
Nat. Hazards Earth Syst. Sci., 23, 3031–3050, https://doi.org/10.5194/nhess-23-3031-2023, https://doi.org/10.5194/nhess-23-3031-2023, 2023
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Early emergency response requires improving the utilization value of the data available in the early post-earthquake period. We proposed a method for assessing seismic intensities by analyzing early aftershock sequences using the robust locally weighted regression program. The seismic intensity map evaluated by the method can reflect the range of the hardest-hit areas and the spatial distribution of the possible property damage and casualties caused by the earthquake.
Ann Elizabeth Morey and Chris Goldfinger
EGUsphere, https://doi.org/10.21203/rs.3.rs-2277419/v2, https://doi.org/10.21203/rs.3.rs-2277419/v2, 2023
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This study uses the characteristics from a deposit attributed to the 1700 CE Cascadia earthquake to identify other subduction earthquake deposits in sediments from two lakes located near the California/Oregon border. Seven deposits were identified in these records and an age-depth model suggests that these correlate in time to the largest Cascadia earthquakes preserved in the offshore record suggesting that inland lakes can be good recorders of Cascadia earthquakes.
Asim M. Khawaja, Behnam Maleki Asayesh, Sebastian Hainzl, and Danijel Schorlemmer
Nat. Hazards Earth Syst. Sci., 23, 2683–2696, https://doi.org/10.5194/nhess-23-2683-2023, https://doi.org/10.5194/nhess-23-2683-2023, 2023
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Testing of earthquake forecasts is important for model verification. Forecasts are usually spatially discretized with many equal-sized grid cells, but often few earthquakes are available for evaluation, leading to meaningless tests. Here, we propose solutions to improve the testability of earthquake forecasts and give a minimum ratio between the number of earthquakes and spatial cells for significant tests. We show applications of the proposed technique for synthetic and real case studies.
Athanasios N. Papadopoulos, Philippe Roth, Laurentiu Danciu, Paolo Bergamo, Francesco Panzera, Donat Fäh, Carlo Cauzzi, Blaise Duvernay, Alireza Khodaverdian, Pierino Lestuzzi, Ömer Odabaşi, Ettore Fagà, Paolo Bazzurro, Michèle Marti, Nadja Valenzuela, Irina Dallo, Nicolas Schmid, Philip Kästli, Florian Haslinger, and Stefan Wiemer
EGUsphere, https://doi.org/10.5194/egusphere-2023-1504, https://doi.org/10.5194/egusphere-2023-1504, 2023
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The Earthquake Risk Model of Switzerland (ERM-CH23), released in early 2023, is the culmination of a multidisciplinary effort aiming to achieve, for the first time, a comprehensive assessment of the potential consequences of earthquakes on the Swiss building stock and population. ERM-CH23 provides risk estimates for various impact metrics, ranging from economic loss as a result of damage to buildings and their contents, to human losses, such as deaths, injuries and displaced population.
Lukas Bodenmann, Jack W. Baker, and Božidar Stojadinović
Nat. Hazards Earth Syst. Sci., 23, 2387–2402, https://doi.org/10.5194/nhess-23-2387-2023, https://doi.org/10.5194/nhess-23-2387-2023, 2023
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Understanding spatial patterns in earthquake-induced ground motions is key for assessing the seismic risk of distributed infrastructure systems. To study such patterns, we propose a novel model that accounts for spatial proximity, as well as site and path effects, and estimate its parameters from past earthquake data by explicitly quantifying the inherent uncertainties.
José A. Álvarez-Gómez, Paula Herrero-Barbero, and José J. Martínez-Díaz
Nat. Hazards Earth Syst. Sci., 23, 2031–2052, https://doi.org/10.5194/nhess-23-2031-2023, https://doi.org/10.5194/nhess-23-2031-2023, 2023
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The strike-slip Carboneras fault is one of the largest sources in the Alboran Sea, with it being one of the faster faults in the eastern Betics. The dimensions and location of the Carboneras fault imply a high seismic and tsunami threat. In this work, we present tsunami simulations from sources generated with physics-based earthquake simulators. We show that the Carboneras fault has the capacity to generate locally damaging tsunamis with inter-event times between 2000 and 6000 years.
Antonio Posadas, Denisse Pasten, Eugenio E. Vogel, and Gonzalo Saravia
Nat. Hazards Earth Syst. Sci., 23, 1911–1920, https://doi.org/10.5194/nhess-23-1911-2023, https://doi.org/10.5194/nhess-23-1911-2023, 2023
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In this paper we understand an earthquake from a thermodynamics point of view as an irreversible transition; then it must suppose an increase in entropy. We use > 100 000 earthquakes in northern Chile to test the theory that Shannon entropy, H, is an indicator of the equilibrium state. Using variation in H, we were able to detect major earthquakes and their foreshocks and aftershocks, including the 2007 Mw 7.8 Tocopilla earthquake and 2014 Mw 8.1 Iquique earthquake.
Dirsa Feliciano, Orlando Arroyo, Tamara Cabrera, Diana Contreras, Jairo Andrés Valcárcel Torres, and Juan Camilo Gómez Zapata
Nat. Hazards Earth Syst. Sci., 23, 1863–1890, https://doi.org/10.5194/nhess-23-1863-2023, https://doi.org/10.5194/nhess-23-1863-2023, 2023
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This article presents the number of damaged buildings and estimates the economic losses from a set of earthquakes in Sabana Centro, a region of 11 towns in Colombia.
Andrea Antonucci, Andrea Rovida, Vera D'Amico, and Dario Albarello
Nat. Hazards Earth Syst. Sci., 23, 1805–1816, https://doi.org/10.5194/nhess-23-1805-2023, https://doi.org/10.5194/nhess-23-1805-2023, 2023
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The earthquake effects undocumented at 228 Italian localities were calculated through a probabilistic approach starting from the values obtained through the use of an intensity prediction equation, taking into account the intensity data documented at close localities for a given earthquake. The results showed some geographical dependencies and correlations with the intensity levels investigated.
Yi-Ying Wen, Chien-Chih Chen, Strong Wen, and Wei-Tsen Lu
Nat. Hazards Earth Syst. Sci., 23, 1835–1846, https://doi.org/10.5194/nhess-23-1835-2023, https://doi.org/10.5194/nhess-23-1835-2023, 2023
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Knowing the spatiotemporal seismicity patterns prior to impending large earthquakes might help earthquake hazard assessment. Several recent moderate earthquakes occurred in the various regions of Taiwan, which help to further investigate the spatiotemporal seismic pattern related to the regional tectonic stress. We should pay attention when a seismicity decrease of 2.5 < M < 4.5 events around the southern Central Range or an accelerating seismicity of 3 < M < 5 events appears in central Taiwan.
Luca Schilirò, Mauro Rossi, Federica Polpetta, Federica Fiorucci, Carolina Fortunato, and Paola Reichenbach
Nat. Hazards Earth Syst. Sci., 23, 1789–1804, https://doi.org/10.5194/nhess-23-1789-2023, https://doi.org/10.5194/nhess-23-1789-2023, 2023
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We present a database of the main scientific articles published on earthquake-triggered landslides in the last 4 decades. To enhance data viewing, the articles were catalogued into a web-based GIS, which was specifically designed to show different types of information, such as bibliometric information, the relevant topic and sub-topic category (or categories), and earthquake(s) addressed. Such information can be useful to obtain a general overview of the topic, especially for a broad readership.
Simone Barani, Gabriele Ferretti, and Davide Scafidi
Nat. Hazards Earth Syst. Sci., 23, 1685–1698, https://doi.org/10.5194/nhess-23-1685-2023, https://doi.org/10.5194/nhess-23-1685-2023, 2023
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In the present study, we analyze ground-motion hazard maps and hazard disaggregation in order to define areas in Italy where liquefaction triggering due to seismic activity can not be excluded. The final result is a screening map for all of Italy that classifies sites in terms of liquefaction triggering potential according to their seismic hazard level. The map and the associated data are freely accessible at the following web address: www.distav.unige.it/rsni/milq.php.
Midhat Fayaz, Shakil A. Romshoo, Irfan Rashid, and Rakesh Chandra
Nat. Hazards Earth Syst. Sci., 23, 1593–1611, https://doi.org/10.5194/nhess-23-1593-2023, https://doi.org/10.5194/nhess-23-1593-2023, 2023
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Earthquakes cause immense loss of lives and damage to properties, particularly in major urban centres. The city of Srinagar, which houses around 1.5 million people, is susceptible to high seismic hazards due to its peculiar geological setting, urban setting, demographic profile, and tectonic setting. Keeping in view all of these factors, the present study investigates the earthquake vulnerability of buildings in Srinagar, an urban city in the northwestern Himalayas, India.
Mathilde B. Sørensen, Torbjørn Haga, and Atle Nesje
Nat. Hazards Earth Syst. Sci., 23, 1577–1592, https://doi.org/10.5194/nhess-23-1577-2023, https://doi.org/10.5194/nhess-23-1577-2023, 2023
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Most Norwegian landslides are triggered by rain or snowmelt, and earthquakes have not been considered a relevant trigger mechanism even though some cases have been reported. Here we systematically search historical documents and databases and find 22 landslides induced by eight large Norwegian earthquakes. The Norwegian earthquakes induce landslides at distances and over areas that are much larger than those found for global datasets.
Chiara Varone, Gianluca Carbone, Anna Baris, Maria Chiara Caciolli, Stefania Fabozzi, Carolina Fortunato, Iolanda Gaudiosi, Silvia Giallini, Marco Mancini, Luca Paolella, Maurizio Simionato, Pietro Sirianni, Rose Line Spacagna, Francesco Stigliano, Daniel Tentori, Luca Martelli, Giuseppe Modoni, and Massimiliano Moscatelli
Nat. Hazards Earth Syst. Sci., 23, 1371–1382, https://doi.org/10.5194/nhess-23-1371-2023, https://doi.org/10.5194/nhess-23-1371-2023, 2023
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In 2012, Italy was struck by a seismic crisis characterized by two main shocks and relevant liquefaction events. Terre del Reno is one of the municipalities that experienced the most extensive liquefaction effects; thus it was chosen as case study for a project devoted to defining a new methodology to assess the liquefaction susceptibility. In this framework, about 1800 geotechnical, geophysical, and hydrogeological investigations were collected and stored in the publicly available PERL dataset.
Samuel Roeslin, Quincy Ma, Pavan Chigullapally, Joerg Wicker, and Liam Wotherspoon
Nat. Hazards Earth Syst. Sci., 23, 1207–1226, https://doi.org/10.5194/nhess-23-1207-2023, https://doi.org/10.5194/nhess-23-1207-2023, 2023
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This paper presents a new framework for the rapid seismic loss prediction for residential buildings in Christchurch, New Zealand. The initial model was trained on insurance claims from the Canterbury earthquake sequence. Data science techniques, geospatial tools, and machine learning were used to develop the prediction model, which also delivered useful insights. The model can rapidly be updated with data from new earthquakes. It can then be applied to predict building loss in Christchurch.
Sasan Motaghed, Mozhgan Khazaee, Nasrollah Eftekhari, and Mohammad Mohammadi
Nat. Hazards Earth Syst. Sci., 23, 1117–1124, https://doi.org/10.5194/nhess-23-1117-2023, https://doi.org/10.5194/nhess-23-1117-2023, 2023
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We modify the probabilistic seismic hazard analysis (PSHA) formulation by replacing the Gutenberg–Richter power law with the SCP (Sotolongo-Costa and Posadas) non-extensive model for earthquake size distribution and call it NEPSHA. The proposed method (NEPSHA) is implemented in the Tehran region, and the results are compared with the classic PSHA method. The hazard curves show that NEPSHA gives a higher hazard, especially in the range of practical return periods.
Paola Sbarra, Pierfrancesco Burrato, Valerio De Rubeis, Patrizia Tosi, Gianluca Valensise, Roberto Vallone, and Paola Vannoli
Nat. Hazards Earth Syst. Sci., 23, 1007–1028, https://doi.org/10.5194/nhess-23-1007-2023, https://doi.org/10.5194/nhess-23-1007-2023, 2023
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Earthquakes are fundamental for understanding how the earth works and for assessing seismic risk. We can easily measure the magnitude and depth of today's earthquakes, but can we also do it for pre-instrumental ones? We did it by analyzing the decay of earthquake effects (on buildings, people, and objects) with epicentral distance. Our results may help derive data that would be impossible to obtain otherwise, for any country where the earthquake history extends for centuries, such as Italy.
Haekal A. Haridhi, Bor Shouh Huang, Kuo Liang Wen, Arif Mirza, Syamsul Rizal, Syahrul Purnawan, Ilham Fajri, Frauke Klingelhoefer, Char Shine Liu, Chao Shing Lee, Crispen R. Wilson, Tso-Ren Wu, Ichsan Setiawan, and Van Bang Phung
Nat. Hazards Earth Syst. Sci., 23, 507–523, https://doi.org/10.5194/nhess-23-507-2023, https://doi.org/10.5194/nhess-23-507-2023, 2023
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Near the northern end of Sumatra, the horizontal movement Sumatran fault zone extended to its northern offshore. The movement of offshore fault segments trigger submarine landslides and induce tsunamis. Scenarios of a significant tsunami caused by the combined effect of an earthquake and its triggered submarine landslide at the coast were proposed in this study. Based on our finding, the landslide tsunami hazard assessment and early warning systems in this region should be urgently considered.
Lixin Wu, Yuan Qi, Wenfei Mao, Jingchen Lu, Yifan Ding, Boqi Peng, and Busheng Xie
Nat. Hazards Earth Syst. Sci., 23, 231–249, https://doi.org/10.5194/nhess-23-231-2023, https://doi.org/10.5194/nhess-23-231-2023, 2023
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Multiple seismic anomalies were reported to be related to the 2015 Nepal earthquake. By sufficiently investigating both the space–time features and the physical models of the seismic anomalies, the coupling mechanisms of these anomalies in 3D space were revealed and an integrated framework to strictly root the sources of various anomalies was proposed. This study provides a practical solution for scrutinizing reliable seismic anomalies from diversified earthquake observations.
David Montiel-López, Sergio Molina, Juan José Galiana-Merino, and Igor Gómez
Nat. Hazards Earth Syst. Sci., 23, 91–106, https://doi.org/10.5194/nhess-23-91-2023, https://doi.org/10.5194/nhess-23-91-2023, 2023
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One of the most effective ways to describe the seismicity of a region is to map the b-value parameter of the Gutenberg-Richter law. This research proposes the study of the spatial cell-event distance distribution to define the smoothing kernel that controls the influence of the data. The results of this methodology depict tectonic stress changes before and after intense earthquakes happen, so it could enable operational earthquake forecasting (OEF) and tectonic source profiling.
Pierre Henry, M. Sinan Özeren, Nurettin Yakupoğlu, Ziyadin Çakir, Emmanuel de Saint-Léger, Olivier Desprez de Gésincourt, Anders Tengberg, Cristele Chevalier, Christos Papoutsellis, Nazmi Postacıoğlu, Uğur Dogan, Hayrullah Karabulut, Gülsen Uçarkuş, and M. Namık Çağatay
Nat. Hazards Earth Syst. Sci., 22, 3939–3956, https://doi.org/10.5194/nhess-22-3939-2022, https://doi.org/10.5194/nhess-22-3939-2022, 2022
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Seafloor instruments at the bottom of the Sea of Marmara recorded disturbances caused by earthquakes, addressing the minimum magnitude that may be recorded in the sediment. A magnitude 4.7 earthquake caused turbidity but little current. A magnitude 5.8 earthquake caused a mudflow and strong currents that spread sediment on the seafloor over several kilometers. However, most known earthquake deposits in the Sea of Marmara spread over larger zones and should correspond to larger earthquakes.
Nicola Alessandro Pino
Nat. Hazards Earth Syst. Sci., 22, 3787–3792, https://doi.org/10.5194/nhess-22-3787-2022, https://doi.org/10.5194/nhess-22-3787-2022, 2022
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The 1908 Messina Straits earthquake is one of the most severe seismic catastrophes in human history and is periodically back in the public discussion because of a project of building a bridge across the Straits. Some models proposed for the fault assume precursory subsidence preceding the quake, resulting in a structure significantly different from the previously debated ones and important hazard implications. The analysis of the historical sea level data allows the rejection of this hypothesis.
Cited articles
Abrahamson, N., Gregor, N., and Addo, K.: BC hydro ground motion prediction equations for subduction earthquakes, Earthq. Spectra, 32, 23–44, https://doi.org/10.1193/051712EQS188MR, 2016. a
Aguirre, P., Vásquez, J., de la Llera, J. C., González, J., and González, G.: Earthquake damage assessment for deterministic scenarios in Iquique, Chile, Nat. Hazards, 92, 1433–1461, https://doi.org/10.1007/s11069-018-3258-3, 2018. a, b
Allen, E., Chamorro, A., Poulos, A., Castro, S., de la Llera, J. C., and Echaveguren, T.: Sensitivity analysis and uncertainty quantification of a seismic risk model for road networks, Comput.-Aided Civ. Inf., 37, 516–530, https://doi.org/10.1111/mice.12748, 2022. a, b
Baker, J., Bradley, B., and Stafford, P.: Seismic Hazard and Risk Analysis, Cambridge University Press, Cambridge, UK, https://doi.org/10.1017/9781108425056, 2021. a, b
Bazzurro, P. and Cornell, C. A.: Disaggregation of seismic hazard, B. Seismol. Soc. Am., 89, 501–520, https://doi.org/10.1785/BSSA0890020501, 1999. a
Bodenmann, L., Baker, J. W., and Stojadinović, B.: Accounting for path and site effects in spatial ground-motion correlation models using Bayesian inference, Nat. Hazards Earth Syst. Sci., 23, 2387–2402, https://doi.org/10.5194/nhess-23-2387-2023, 2023. a
Borzoo, S., Bastami, M., and Fallah, A.: Extreme scenarios selection for seismic assessment of expanded lifeline networks, Struct. Infrastruct. E., 17, 1386–1403, https://doi.org/10.1080/15732479.2020.1811989, 2021. a
Candia, G., Poulos, A., de la Llera, J. C., Crempien, J. G., and Macedo, J.: Correlations of spectral accelerations in the Chilean subduction zone, Earthq. Spectra, 36, 788–805, https://doi.org/10.1177/8755293019891723, 2020. a
Carvajal, M., Cisternas, M., and Catalán, P. A.: Source of the 1730 Chilean earthquake from historical records: Implications for the future tsunami hazard on the coast of Metropolitan Chile, J. Geophys. Res.-Sol. Ea., 122, 3648–3660, https://doi.org/10.1002/2017JB014063, 2017. a, b
Chatelain, J.-L., Yepes, H., Bustamante, G., Fernández, J., Valverde, J., Kaneko, F., Villacis, C., Yamada, T., and Tucker, B.: Proyecto para Manejo del Riesgo sísmico de Quito, Escuela Politécnica Nacional, Quito, Ecuador, 1995. a
Cornell, C. A.: Engineering seismic risk analysis, B. Seismol. Soc. Am., 58, 1583–1606, 1968. a
de la Llera, J. C., Rivera, F., Mitrani-Reiser, J., Jünemann, R., Fortuño, C., Ríos, M., Hube, M., Santa María, H., and Cienfuegos, R.: Data collection after the 2010 Maule earthquake in Chile, B. Earthquake E., 15, 555–588, https://doi.org/10.1007/s10518-016-9918-3, 2017. a
Efron, B. and Tibshirani, R. J.: An Introduction to the Bootstrap, Chapman & Hall/CRC, Boca Raton, FL, USA, https://doi.org/10.1201/9780429246593, 1993. a
Esteva, L.: Regionalización sísmica de México para fines de ingeniería, Instituto de Ingeniería, UNAM, Mexico, https://aplicaciones.iingen.unam.mx/ConsultasSPII/DetallePublicacion.aspx?id=152 (last access: 18 July 2024), 1970. a
Feliciano, D., Arroyo, O., Cabrera, T., Contreras, D., Valcárcel Torres, J. A., and Gómez Zapata, J. C.: Seismic risk scenarios for the residential buildings in the Sabana Centro province in Colombia, Nat. Hazards Earth Syst. Sci., 23, 1863–1890, https://doi.org/10.5194/nhess-23-1863-2023, 2023. a
Fox, M.: Considerations on seismic hazard disaggregation in terms of occurrence or exceedance in New Zealand, Bull. N. Z. Soc. Earthq. Eng., 56, 1–10, https://doi.org/10.5459/bnzsee.56.1.1-10, 2023. a, b
Fox, M. J., Stafford, P. J., and Sullivan, T. J.: Seismic hazard disaggregation in performance-based earthquake engineering: occurrence or exceedance?, Earthq. Eng. Struct. D., 45, 835–842, https://doi.org/10.1002/eqe.2675, 2016. a, b
Frank, S. and Rebennack, S.: An introduction to optimal power flow: Theory, formulation, and examples, IIE Trans., 48, 1172–1197, https://doi.org/10.1080/0740817X.2016.1189626, 2016. a
Gisbert, F. J. G.: Weighted samples, kernel density estimators and convergence, Empir. Econ., 28, 335–351, https://doi.org/10.1007/s001810200134, 2003. a
Goda, K. and Atkinson, G. M.: Intraevent spatial correlation of ground-motion parameters using SK-net data, B. Seismol. Soc. Am., 100, 3055–3067, https://doi.org/10.1785/0120100031, 2010. a
Gómez-Zapata, J. C., Zafrir, R., Pittore, M., and Merino, Y.: Towards a sensitivity analysis in seismic risk with probabilistic building exposure models: An application in Valparaíso, Chile, using ancillary open-source data and parametric ground motions, ISPRS Int. J. Geo-Inf., 11, 113, https://doi.org/10.3390/ijgi11020113, 2022a. a, b, c, d, e
Gómez-Zapata, J. C., Pittore, M., Cotton, F., Lilienkamp, H., Shinde, S., Aguirre, P., and Santa María, H.: Epistemic uncertainty of probabilistic building exposure compositions in scenario-based earthquake loss models, B. Earthquake E., 20, 2401–2438, https://doi.org/10.1007/s10518-021-01312-9, 2022b. a
Hayes, G. P., Wald, D. J., and Johnson, R. L.: Slab1.0: A three-dimensional model of global subduction zone geometries, J. Geophys. Res.-Sol. Ea., 117, B01302, https://doi.org/10.1029/2011JB008524, 2012. a, b
Hussain, E., Elliott, J. R., Silva, V., Vilar-Vega, M., and Kane, D.: Contrasting seismic risk for Santiago, Chile, from near-field and distant earthquake sources, Nat. Hazards Earth Syst. Sci., 20, 1533–1555, https://doi.org/10.5194/nhess-20-1533-2020, 2020. a, b
Jayaram, N. and Baker, J. W.: Correlation model for spatially distributed ground-motion intensities, Earthq. Eng. Struct. D., 38, 1687–1708, https://doi.org/10.1002/eqe.922, 2009a. a
Jayaram, N. and Baker, J. W.: Deaggregation of lifeline risk: Insights for choosing deterministic scenario earthquakes, in: Proceedings of the Technical Council on Lifeline Earthquake Engineering Conference, Oakland, California, 28 June–1 July 2009, https://doi.org/10.1061/41050(357)100, 2009b. a, b, c, d, e
Jiménez, B., Pelá, L., and Hurtado, M.: Building survey forms for heterogeneous urban areas in seismically hazardous zones: Application to the historical center of Valparaíso, Chile, Int. J. Archit. Herit., 12, 1076–1111, https://doi.org/10.1080/15583058.2018.1503370, 2018. a, b
Jiménez Martínez, M., Jiménez Martínez, M., and Romero-Jarén, R.: How resilient is the labour market against natural disaster? Evaluating the effects from the 2010 earthquake in Chile, Nat. Hazards, 104, 1481–1533, https://doi.org/10.1007/s11069-020-04229-9, 2020. a
Jünemann, R., de la Llera, J., Hube, M., Cifuentes, L., and Kausel, E.: A statistical analysis of reinforced concrete wall buildings damaged during the 2010, Chile earthquake, Eng. Struct., 82, 168–185, https://doi.org/10.1016/j.engstruct.2014.10.014, 2015. a, b
McGuire, R. K.: Probabilistic seismic hazard analysis and design earthquakes: Closing the loop, B. Seismol. Soc. Am., 85, 1275–1284, https://doi.org/10.1785/BSSA0850051275, 1995. a
Miller, M. and Baker, J.: Ground-motion intensity and damage map selection for probabilistic infrastructure network risk assessment using optimization, Earthq. Eng. Struct. D., 44, 1139–1156, https://doi.org/10.1002/eqe.2506, 2015. a
Montalva, G. A., Bastías, N., and Rodriguez-Marek, A.: Ground motion prediction equation for the Chilean subduction zone, B. Seismol. Soc. Am., 107, 901–911, https://doi.org/10.1785/0120160221, 2017. a, b
ODEPLAN: Plan de reconstrucción: Sismo marzo 1985, Of. de Planificación Nal., Santiago de Chile, https://www.desarrollosocialyfamilia.gob.cl/btca/txtcompleto/DIGITALIZADOS/ODEPLAN/O32Ppr-1985-pdf (last access: 18 July 2024), 1985. a
ONEMI: Informe sobre el terremoto de marzo 1985 en Chile, Of. Nal. de Emergencias del Min. del Interior, Santiago de Chile, https://bibliogrd.senapred.gob.cl/handle/2012/125 (last access: 18 July 2024), 1985. a
Pagani, M., Johnson, K., and Garcia Pelaez, J.: Modelling subduction sources for probabilistic seismic hazard analysis, Geol. Soc. Spec. Publ., 501, 225–244, https://doi.org/10.1144/SP501-2019-120, 2021. a
Pittore, M., Gómez-Zapata, J., Brinckmann, N., and Rüster, M.: Assetmaster and Modelprop: web services to serve building exposure models and fragility functions for physical vulnerability to natural-hazards. V.1.0., GFZ Data Services [code], https://doi.org/10.5880/riesgos.2021.005, 2021. a, b, c, d
Rasmussen, C. and Williams, C.: Gaussian Processes for Machine Learning, The MIT Press, Cambridge, MA, USA, https://doi.org/10.7551/mitpress/3206.001.0001, 2005. a, b
Rosero-Velásquez, H. and Straub, D.: Selecting Representative Scenarios for Contingency Analysis of Infrastructure Systems with Dependent Component Failures, in: Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, 26–30 May 2019, Seoul, South Korea, 1–8, https://doi.org/10.22725/ICASP13.335, 2019. a
Salgado-Gálvez, M. A., Zuloaga, D., Henao, S., Bernal, G. A., and Cardona, O. D.: Probabilistic assessment of annual repair rates in pipelines and of direct economic losses in water and sewage networks: application to Manizales, Colombia, Nat. Hazards, 93, 5–24, https://doi.org/10.1007/s11069-017-2987-z, 2018. a, b
Silva, V.: Critical issues in earthquake scenario loss modeling, J. Earthq. Eng., 20, 1322–1341, https://doi.org/10.1080/13632469.2016.1138172, 2016. a
Tomar, A. and Burton, H. V.: Active learning method for risk assessment of distributed infrastructure systems, Comput.-Aided Civ. Inf., 36, 438–452, https://doi.org/10.1111/mice.12665, 2021. a
USGS – US Geological Survey: Earthquake Hazards Program, Advanced National Seismic System (ANSS) Comprehensive Catalog of Earthquake Events and Products: Various, https://doi.org/10.5066/F7MS3QZH, 2017. a
Villar-Vega, M., Silva, M., Crowley, H., Yepes, C., Tarque, N., Acevedo, A., Hube, M., Gustavo, C., and Santa María, H.: Development of a fragility model for the residential building stock in South America, Earthq. Spectra, 33, 581–604, https://doi.org/10.1193/010716EQS005M, 2017. a
Wood, A., Wollenberg, B., and Sheblé, G.: Power Generation, Operation, and Control, John Wiley & Sons Ltd, ISBN 9780471790556, 2013. a
Yepes-Estrada, C., Silva, V., Valcárcel, J., Acevedo, A. B., Tarque, N., Hube, M. A., Coronel, G., and María, H. S.: Modeling the residential building inventory in South America for seismic risk assessment, Earthq. Spectra, 33, 299–322, https://doi.org/10.1193/101915eqs155dp, 2017. a, b, c
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.
Seismic risk management uses reference earthquake scenarios, but the criteria for selecting them...
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