Articles | Volume 21, issue 8
https://doi.org/10.5194/nhess-21-2299-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-2299-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Aug 2021
Research article |
| 03 Aug 2021
| 03 Aug 2021
Integrating macroseismic intensity distributions with a probabilistic approach: an application in Italy
Andrea Antonucci
CORRESPONDING AUTHOR
Istituto Nazionale di Geofisica e Vulcanologia, Milan, 20133, Italy
Department of Earth Sciences, University of Pisa, Pisa, 56126, Italy
Andrea Rovida
Istituto Nazionale di Geofisica e Vulcanologia, Milan, 20133, Italy
Vera D'Amico
Istituto Nazionale di Geofisica e Vulcanologia, Pisa, 56125, Italy
Dario Albarello
Department of Physics, Earth and Environmental Sciences, University of Siena, Siena, 53100, Italy
Related authors
Andrea Rovida, Mario Locati, Andrea Antonucci, and Romano Camassi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-467, https://doi.org/10.5194/essd-2024-467, 2024
Preprint under review for ESSD
Short summary
Short summary
ASMI, the Italian Archive of Historical Earthquake Data, is a data collection that provides seismological data on more than 6600 earthquakes that occurred in Italy and surrounding between 461 BC and today, based on more than 460 data sources. ASMI distributes in diverse ways and formats earthquake parameters, sets of macroseismic intensity, together with the bibliographical reference of the data source and, if possible the data source itself.
Andrea Antonucci, Andrea Rovida, Vera D'Amico, and Dario Albarello
Nat. Hazards Earth Syst. Sci., 23, 1805–1816, https://doi.org/10.5194/nhess-23-1805-2023, https://doi.org/10.5194/nhess-23-1805-2023, 2023
Short summary
Short summary
The earthquake effects undocumented at 228 Italian localities were calculated through a probabilistic approach starting from the values obtained through the use of an intensity prediction equation, taking into account the intensity data documented at close localities for a given earthquake. The results showed some geographical dependencies and correlations with the intensity levels investigated.
Andrea Rovida, Andrea Antonucci, and Mario Locati
Earth Syst. Sci. Data, 14, 5213–5231, https://doi.org/10.5194/essd-14-5213-2022, https://doi.org/10.5194/essd-14-5213-2022, 2022
Short summary
Short summary
EPICA is the 1000–1899 catalogue compiled for the European Seismic Hazard Model 2020 and contains 5703 earthquakes with Mw ≥ 4.0. It relies on the data of the European Archive of Historical Earthquake Data (AHEAD), both macroseismic intensities from historical seismological studies and parameters from regional catalogues. For each earthquake, the most representative datasets were selected and processed in order to derive harmonised parameters, both from intensity data and parametric catalogues.
Andrea Rovida, Mario Locati, Andrea Antonucci, and Romano Camassi
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2024-467, https://doi.org/10.5194/essd-2024-467, 2024
Preprint under review for ESSD
Short summary
Short summary
ASMI, the Italian Archive of Historical Earthquake Data, is a data collection that provides seismological data on more than 6600 earthquakes that occurred in Italy and surrounding between 461 BC and today, based on more than 460 data sources. ASMI distributes in diverse ways and formats earthquake parameters, sets of macroseismic intensity, together with the bibliographical reference of the data source and, if possible the data source itself.
Laurentiu Danciu, Domenico Giardini, Graeme Weatherill, Roberto Basili, Shyam Nandan, Andrea Rovida, Céline Beauval, Pierre-Yves Bard, Marco Pagani, Celso G. Reyes, Karin Sesetyan, Susana Vilanova, Fabrice Cotton, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 3049–3073, https://doi.org/10.5194/nhess-24-3049-2024, https://doi.org/10.5194/nhess-24-3049-2024, 2024
Short summary
Short summary
The 2020 European Seismic Hazard Model (ESHM20) is the latest seismic hazard assessment update for the Euro-Mediterranean region. This state-of-the-art model delivers a broad range of hazard results, including hazard curves, maps, and uniform hazard spectra. ESHM20 provides two hazard maps as informative references in the next update of the European Seismic Design Code (CEN EC8), and it also provides a key input to the first earthquake risk model for Europe.
Vera D'Amico, Francesco Visini, Andrea Rovida, Warner Marzocchi, and Carlo Meletti
Nat. Hazards Earth Syst. Sci., 24, 1401–1413, https://doi.org/10.5194/nhess-24-1401-2024, https://doi.org/10.5194/nhess-24-1401-2024, 2024
Short summary
Short summary
We propose a scoring strategy to rank multiple models/branches of a probabilistic seismic hazard analysis (PSHA) model that could be useful to consider specific requests from stakeholders responsible for seismic risk reduction actions. In fact, applications of PSHA often require sampling a few hazard curves from the model. The procedure is introduced through an application aimed to score and rank the branches of a recent Italian PSHA model according to their fit with macroseismic intensity data.
Andrea Antonucci, Andrea Rovida, Vera D'Amico, and Dario Albarello
Nat. Hazards Earth Syst. Sci., 23, 1805–1816, https://doi.org/10.5194/nhess-23-1805-2023, https://doi.org/10.5194/nhess-23-1805-2023, 2023
Short summary
Short summary
The earthquake effects undocumented at 228 Italian localities were calculated through a probabilistic approach starting from the values obtained through the use of an intensity prediction equation, taking into account the intensity data documented at close localities for a given earthquake. The results showed some geographical dependencies and correlations with the intensity levels investigated.
Andrea Rovida, Andrea Antonucci, and Mario Locati
Earth Syst. Sci. Data, 14, 5213–5231, https://doi.org/10.5194/essd-14-5213-2022, https://doi.org/10.5194/essd-14-5213-2022, 2022
Short summary
Short summary
EPICA is the 1000–1899 catalogue compiled for the European Seismic Hazard Model 2020 and contains 5703 earthquakes with Mw ≥ 4.0. It relies on the data of the European Archive of Historical Earthquake Data (AHEAD), both macroseismic intensities from historical seismological studies and parameters from regional catalogues. For each earthquake, the most representative datasets were selected and processed in order to derive harmonised parameters, both from intensity data and parametric catalogues.
Francesco Visini, Carlo Meletti, Andrea Rovida, Vera D'Amico, Bruno Pace, and Silvia Pondrelli
Nat. Hazards Earth Syst. Sci., 22, 2807–2827, https://doi.org/10.5194/nhess-22-2807-2022, https://doi.org/10.5194/nhess-22-2807-2022, 2022
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As new data are collected, seismic hazard models can be updated and improved. In the framework of a project aimed to update the Italian seismic hazard model, we proposed a model based on the definition and parametrization of area sources. Using geological data, seismicity and other geophysical constraints, we delineated three-dimensional boundaries and activity rates of a seismotectonic zoning and explored the epistemic uncertainty by means of a logic-tree approach.
Silvia Pondrelli, Francesco Visini, Andrea Rovida, Vera D'Amico, Bruno Pace, and Carlo Meletti
Nat. Hazards Earth Syst. Sci., 20, 3577–3592, https://doi.org/10.5194/nhess-20-3577-2020, https://doi.org/10.5194/nhess-20-3577-2020, 2020
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We used 100 years of seismicity in Italy to predict the hypothetical tectonic style of future earthquakes, with the purpose of using this information in a new seismic hazard model. To squeeze all possible information out of the available data, we created a chain of criteria to be applied in the input and output selection processes. The result is a list of cases from very clear ones, e.g., extensional tectonics in the central Apennines, to completely random tectonics for future seismic events.
D. Albarello, L. Peruzza, and V. D'Amico
Nat. Hazards Earth Syst. Sci., 15, 171–186, https://doi.org/10.5194/nhess-15-171-2015, https://doi.org/10.5194/nhess-15-171-2015, 2015
D. Albarello, M. Palo, and G. Martinelli
Nat. Hazards Earth Syst. Sci., 12, 3617–3629, https://doi.org/10.5194/nhess-12-3617-2012, https://doi.org/10.5194/nhess-12-3617-2012, 2012
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1. The dense clusters of AE appear to anticipate the major seismic events. 2. AE has a strong correlation to seismic swarms occurring in surrounding areas. AE tends to regularly anticipates by approximately 17 hours both the considered seismic events. 3. The trends of b-value and natural-time variance can be used as seismic precursors.
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Karina Loviknes, Fabrice Cotton, and Graeme Weatherill
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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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Aftershocks are typically ignored for traditional probabilistic seismic hazard analyses, which underestimate the seismic hazard to some extent and may cause potential risks. A probabilistic seismic hazard analysis based on the Monte Carlo method was combined with the Omi–Reasenberg–Jones model to systematically study how aftershocks impact seismic hazard analyses. The influence of aftershocks on probabilistic seismic hazard analysis can exceed 50 %.
Lixin Wu, Xiao Wang, Yuan Qi, Jingchen Lu, and Wenfei Mao
Nat. Hazards Earth Syst. Sci., 24, 773–789, https://doi.org/10.5194/nhess-24-773-2024, https://doi.org/10.5194/nhess-24-773-2024, 2024
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The atmospheric electric field (AEF) is the bridge connecting the surface charges and atmospheric particle changes before an earthquake, which is essential for the study of the coupling process between the coversphere and atmosphere caused by earthquakes. This study discovers AEF anomalies before the Luding earthquake in 2022 and clarifies the relationship between the surface changes and atmosphere changes possibly caused by the earthquake.
Polona Zupančič, Barbara Šket Motnikar, Michele M. C. Carafa, Petra Jamšek Rupnik, Mladen Živčić, Vanja Kastelic, Gregor Rajh, Martina Čarman, Jure Atanackov, and Andrej Gosar
Nat. Hazards Earth Syst. Sci., 24, 651–672, https://doi.org/10.5194/nhess-24-651-2024, https://doi.org/10.5194/nhess-24-651-2024, 2024
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We considered two parameters that affect seismic hazard assessment in Slovenia. The first parameter we determined is the thickness of the lithosphere's section where earthquakes are generated. The second parameter is the activity of each fault, which is expressed by its average displacement per year (slip rate). Since the slip rate can be either seismic or aseismic, we estimated both components. This analysis was based on geological and seismological data and was validated through comparisons.
Maren Böse, Laurentiu Danciu, Athanasios Papadopoulos, John Clinton, Carlo Cauzzi, Irina Dallo, Leila Mizrahi, Tobias Diehl, Paolo Bergamo, Yves Reuland, Andreas Fichtner, Philippe Roth, Florian Haslinger, Frédérick Massin, Nadja Valenzuela, Nikola Blagojević, Lukas Bodenmann, Eleni Chatzi, Donat Fäh, Franziska Glueer, Marta Han, Lukas Heiniger, Paulina Janusz, Dario Jozinović, Philipp Kästli, Federica Lanza, Timothy Lee, Panagiotis Martakis, Michèle Marti, Men-Andrin Meier, Banu Mena Cabrera, Maria Mesimeri, Anne Obermann, Pilar Sanchez-Pastor, Luca Scarabello, Nicolas Schmid, Anastasiia Shynkarenko, Bozidar Stojadinović, Domenico Giardini, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 583–607, https://doi.org/10.5194/nhess-24-583-2024, https://doi.org/10.5194/nhess-24-583-2024, 2024
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Seismic hazard and risk are time dependent as seismicity is clustered and exposure can change rapidly. We are developing an interdisciplinary dynamic earthquake risk framework for advancing earthquake risk mitigation in Switzerland. This includes various earthquake risk products and services, such as operational earthquake forecasting and early warning. Standardisation and harmonisation into seamless solutions that access the same databases, workflows, and software are a crucial component.
Rimali Mitra, Hajime Naruse, and Tomoya Abe
Nat. Hazards Earth Syst. Sci., 24, 429–444, https://doi.org/10.5194/nhess-24-429-2024, https://doi.org/10.5194/nhess-24-429-2024, 2024
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This study estimates the behavior of the 2011 Tohoku-oki tsunami from its deposit distributed in the Joban coastal area. In this study, the flow characteristics of the tsunami were reconstructed using the DNN (deep neural network) inverse model, suggesting that the tsunami inundation occurred in the very high-velocity condition.
Sedat İnan, Hasan Çetin, and Nurettin Yakupoğlu
Nat. Hazards Earth Syst. Sci., 24, 397–409, https://doi.org/10.5194/nhess-24-397-2024, https://doi.org/10.5194/nhess-24-397-2024, 2024
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Two devastating earthquakes, Mw 7.7 and Mw 7.6, occurred in Türkiye on 6 February 2023. We obtained commercially bottled waters from two springs, 100 km from the epicenter of Mw 7.7. Samples of the first spring emanating from fault zone in hard rocks showed positive anomalies in major ions lasting for 6 months before the earthquake. Samples from the second spring accumulated in an alluvium deposit showed no anomalies. We show that pre-earthquake anomalies are geologically site-dependent.
Sylvain Michel, Clara Duverger, Laurent Bollinger, Jorge Jara, and Romain Jolivet
Nat. Hazards Earth Syst. Sci., 24, 163–177, https://doi.org/10.5194/nhess-24-163-2024, https://doi.org/10.5194/nhess-24-163-2024, 2024
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The Upper Rhine Graben, located in France and Germany, is bordered by north–south-trending faults, posing a potential threat to dense population and infrastructures on the Alsace plain. We build upon previous seismic hazard studies of the graben by exploring uncertainties in greater detail, revisiting a number of assumptions. There is a 99 % probability that a maximum-magnitude earthquake would be below 7.3 if assuming a purely dip-slip mechanism or below 7.6 if assuming a strike-slip one.
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.
Elena F. Manea, Laurentiu Danciu, Carmen O. Cioflan, Dragos Toma-Danila, and Matt Gerstenberger
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-232, https://doi.org/10.5194/nhess-2023-232, 2024
Revised manuscript accepted for NHESS
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We test and evaluate the results of the 2020 European Seismic Hazard Model (ESHM20; Danciu et al., 2021) against observations spamming over a few centuries at twelve cities in Romania. The full distribution of the hazard curves at the given location was considered, and the testing was done for two relevant peak ground acceleration (PGA) values. Our analysis suggests that the observed exceedance rates for the selected PGA levels are consistent with ESHM20 estimates.
Marta Han, Leila Mizrahi, and Stefan Wiemer
EGUsphere, https://doi.org/10.5194/egusphere-2023-3153, https://doi.org/10.5194/egusphere-2023-3153, 2024
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Relying on recent accomplishments in collecting and harmonizing data by the 2020 European Seismic Hazard Model (ESHM20) and leveraging advancements in state-of-the-art earthquake forecasting methods, we develop a harmonized earthquake forecasting model for Europe. We propose several model variants and test them on training data for consistency and on a seven-year testing period against each other, as well as against both a time-independent benchmark and a global time-dependent benchmark.
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 accepted 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.
Simone Francesco Fornasari, Deniz Ertuncay, and Giovanni Costa
Nat. Hazards Earth Syst. Sci., 23, 3219–3234, https://doi.org/10.5194/nhess-23-3219-2023, https://doi.org/10.5194/nhess-23-3219-2023, 2023
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We analysed the background seismic noise for the Italian strong motion network by developing the Italian accelerometric low- and high-noise models. Spatial and temporal variations of the noise levels have been analysed. Several stations located near urban areas are affected by human activities, with high noise levels in the low periods. Our results provide an overview of the background noise of the strong motion network and can be used as a station selection criterion for future research.
Subash Ghimire, Philippe Guéguen, Adrien Pothon, and Danijel Schorlemmer
Nat. Hazards Earth Syst. Sci., 23, 3199–3218, https://doi.org/10.5194/nhess-23-3199-2023, https://doi.org/10.5194/nhess-23-3199-2023, 2023
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This study explores the efficacy of several machine learning models for damage characterization, trained and tested on the Database of Observed Damage (DaDO) for Italian earthquakes. Reasonable damage prediction effectiveness (68 % accuracy) is observed, particularly when considering basic structural features and grouping the damage according to the traffic-light-based system used during the post-disaster period (green, yellow, and red), showing higher relevancy for rapid damage prediction.
Ekbal Hussain, Endra Gunawan, Nuraini Rahma Hanifa, and Qori'atu Zahro
Nat. Hazards Earth Syst. Sci., 23, 3185–3197, https://doi.org/10.5194/nhess-23-3185-2023, https://doi.org/10.5194/nhess-23-3185-2023, 2023
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The earthquake potential of the Lembang Fault, located near the city of Bandung in West Java, Indonesia, is poorly understood. Bandung has a population of over 8 million people. We used satellite data to estimate the energy storage on the fault and calculate the likely size of potential future earthquakes. We use simulations to show that 1.9–2.7 million people would be exposed to high levels of ground shaking in the event of a major earthquake on the fault.
Valerio Poggi, Stefano Parolai, Natalya Silacheva, Anatoly Ischuk, Kanatbek Abdrakhmatov, Zainalobudin Kobuliev, Vakhitkhan Ismailov, Roman Ibragimov, Japar Karayev, Paola Ceresa, Marco Santulin, and Paolo Bazzurro
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-132, https://doi.org/10.5194/nhess-2023-132, 2023
Revised manuscript accepted for NHESS
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A regionally consistent probabilistic risk assessment for multiple hazards and assets was recently developed as part of the "Strengthening Financial Resilience and Accelerating Risk Reduction in Central Asia" (SFRARR) program, promoted by the European Union in collaboration with the World Bank and GFDRR. This paper describes the preparation of the source model and presents the main results of the probabilistic earthquake model for the Central Asian countries.
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 accepted 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, Mark D. Shapley, Daniel G. Gavin, Alan R. Nelson, and Chris Goldfinger
EGUsphere, https://doi.org/10.21203/rs.3.rs-1631354/v2, https://doi.org/10.21203/rs.3.rs-1631354/v2, 2023
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Disturbance events from historic sediments from a small lake in Oregon were compared to known events to determine if Cascadia earthquakes are uniquely identifiable. Sedimentological methods and geochemical provenance data identify a deposit likely from the most recent Cascadia earthquake (which occurred in 1700), another type of earthquake deposit, and flood deposits, suggesting that small lakes are good recorders of megathrust earthquakes. New methods developed hold promise for other lakes.
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.
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.
Cited articles
Albarello, D. and D'Amico, V.: Attenuation relationship of macroseismic intensity in Italy for probabilistic seismic hazard assessment, B. Geofis. Teor. Appl., 45, 271–284, 2004.
Albarello, D. and D'Amico, V.: Validation of intensity attenuation relationships, B. Seismol. Soc. Am., 95, 719–724, https://doi.org/10.1785/0120040062, 2005.
Albarello, D. and Mucciarelli, M.: Seismic hazard estimates from ill-defined macroseismic data at a site, Pure Appl. Geophys., 159, 1289–1304, https://doi.org/10.1007/s00024-002-8682-2, 2002.
Albarello, D., Camassi, R., and Rebez, A.: Detection of space and time heterogeneity in the completeness of a seismic catalog by a statistical approach: An Application to the Italian Area, B. Seismol. Soc. Am., 91, 1694–1703, https://doi.org/10.1785/0120000058, 2001.
Albarello, D., D'Amico, V., Gasperini, P., Pettenati, F., Rotondi, R., and
Zonno G.: Nuova formulazione delle procedure per la stima dell'intensità
macrosismica da dati epicentrali o da risentimenti in zone vicine, Progetto
DPC-INGV S1, available at: http://esse1.mi.ingv.it/d10.html (last access: 12 April 2021), 2007.
Albini, P.: Documenting Earthquakes in the United States of the Ionian Islands, 1815–1864, Seismol. Res. Lett., 91, 2554–2562, https://doi.org/10.1785/0220200056, 2020a.
Albini, P.: Nine Major Earthquakes in the United States of the Ionian Islands, 1815–1864, Seismol. Res. Lett., 91, 3595–3611, https://doi.org/10.1785/0220200205, 2020b.
Albini, P. and Rovida, A.: Earthquakes in southern Dalmatia and coastal Montenegro before the large 6 April 1667 event, J. Seismol., 22, 721–754, https://doi.org/10.1007/s10950-018-9730-4, 2018.
Allen, T. I., Wald, D. J., and Worden, C. B.: Intensity attenuation for active crustal regions, J. Seismol., 16, 409–433, https://doi.org/10.1007/s10950-012-9278-7, 2012.
Ambraseys, N. N. and Douglas, J.: Magnitude calibration of north Indian earthquakes. Geophys. J. Int., 159, 165–206, https://doi.org/10.1111/j.1365-246X.2004.02323.x, 2004.
Bakun, W. H. and Wentworth, C. M.: Estimating earthquake location and magnitude from seismic intensity data, B. Seismol. Soc. Am., 87, 1502–1521, 1997.
Barbano, M. S., Cosentino, M., Lombardo, G., and Patané, G.: Isoseismal
maps of Calabria and Sicily earthquakes (Southern Italy), CNR-PFG, Catania, 116 pp., 1980.
Carletti, F. and Gasperini, P.: Lateral variations of seismic intensity attenuation in Italy, Geophys. J. Int., 155, 839–856, https://doi.org/10.1111/j.1365-246X.2003.02073.x, 2003.
D'Amico, V. and Albarello, D.: SASHA: A computer program to assess seismic hazard from intensity data, Seismol. Res. Lett., 79, 663–671, https://doi.org/10.1785/gssrl.79.5.663, 2008.
Fäh, D., Giardini, D., Kästli, P., Deichmann, N., Gisler, M., Schwarz-Zanetti, G., Alvarez-Rubio, S., Sellami, S., Edwards, B., Allmann, B., Bethmann, F., Wössner, J., Gassner-Stamm, G., Fritsche, S., and Eberhard, D.: ECOS-09 Earthquake Catalogue of Switzerland Release 2011 report and database, Swiss Seismological Service, ETH Zurich, Report SED/RISK/R/001/20110417, 2011.
Ferrari, G. and Postpischl, D.: The Mugello earthquake of June 29, 1919, in:
Atlas of isoseismal maps of Italian earthquakes, edited by: Postpischl, D., Quaderni della Ricerca Scientifica, 114, 124–125, 1985.
Galli, P. and Camassi, R.: Rapporto sugli effetti del terremoto aquilano del 6 aprile 2009, Rapporto tecnico QUEST, DPC-INGV, Roma, 12 pp., https://doi.org/10.13127/QUEST/20090406, 2009.
Gasperini, P, Bernardini, F, Valensise, G., and Boschi, E.: Defining
seismogenic sources from historical earthquake felt reports, B. Seismol. Soc. Am., 89, 94–110, 1999.
Gasperini, P., Vannucci, G., Tripone, D., and Boschi, E.: The Location and Sizing of Historical Earthquakes Using the Attenuation of Macroseismic Intensity with Distance, B. Seismol. Soc. Am., 100, 2035–2066, https://doi.org/10.1785/0120090330, 2010.
Grünthal, G.: European Macroseismic Scale 1998 (EMS-98), Cahiers du Centre Européen de Géodynamique et de Séismologie, 13, 1–99, 1998.
Guidoboni, E. and Stucchi, M.: The contribution of historical records of earthquakes to the evaluation of seismic hazard, Ann. Geophys.-Italy, 36, 201–215, https://doi.org/10.4401/ag-4264, 1993.
Guidoboni, E., Ferrari, G., Mariotti, D., Comastri, A., Tarabusi, G., and
Valensise, G.: CFTI4Med, Catalogue of Strong Earthquakes in Italy
(461 B. C.–1997) and Mediterranean Area (760 B.C.–1500), INGV-SGA,
available at: http://storing.ingv.it/cfti4med/ (last access: 12 April 2021), 2007.
Hough, S. E. and Martin, S. M.: Which Earthquake Accounts Matter?, Seismol. Res. Lett., 92, 1069–1084, https://doi.org/10.1785/0220200366, 2021.
Locati, M., Camassi, R., Rovida, A., Ercolani, E., Bernardini, F., Castelli, V., Caracciolo, C. H., Tertulliani, A., Rossi, A., Azzaro, R., D'Amico, S., Conte, S., Rocchetti, E., and Antonucci, A.: Database Macrosismico Italiano (DBMI15), versione 2.0, Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/DBMI/DBMI15.2, 2019.
Lolli, B., Pasolini, C., Gasperini, P., and Vannucci, G.: Prodotto 4.8:
Ricalibrazione dell'equazione di previsione di Pasolini et al. (2008), in: Il modello di pericolosità sismica MPS19, rapporto finale, edited by: Meletti, C. and Marzocchi, W., Centro Pericolosità Sismica, Istituto Nazionale di Geofisica e Vulcanologia, maggio 2019, Roma, 168 pp., 2 App., 2019.
Magri, L., Mucciarelli, M., and Albarello, D.: Estimates of site seismicity rates using ill-defined macroseismic data, Pure Appl. Geophys., 143, 618–632, https://doi.org/10.1007/BF00879501, 1994.
Manchuel, K., Traversa, P., Baumont, D., Cara, M., Nayman, E., and
Durouchoux, C.: The French seismic CATalogue (FCAT-17), B. Earthq. Eng., 16,
2227–2251, https://doi.org/10.1007/s10518-017-0236-1, 2018.
Medvedev, S., Sponheuer, W., and Karník, V.: Neue seismische Skala
Intensity scale of earthquakes, in: 7. Tagung der Europäischen
Seismologischen Kommission vom 24.9. bis 30.9.1962, in Jena, Veröff. Institut für Bodendynamik und Erdbebenforschung in Jena, Deutsche Akademie der Wissenschaften zu Berlin, 77, 69–76, 1964.
Meletti, C., Marzocchi, W., D'Amico, V., Lanzano, G., Luzi, L., Martinelli, F., Pace, B., Rovida, A., Taroni, M., Visini, F., and the MPS19 Working Group.: The new Italian seismic hazard model (MPS19), Ann. Geophys.-Italy, 64, SE112, https://doi.org/10.4401/ag-8579, 2021.
Mucciarelli, M., Albarello, D., and D'Amico, V.: Comparison of probabilistic seismic hazard estimates in Italy, B. Seismol. Soc. Am., 98, 2652–2664, https://doi.org/10.1785/0120080077, 2008.
Musson, R. M. and Cecić, I.: Intensity and Intensity Scales, in: New
Manual of Seismological Observatory Practice 2 (NMSOP-2), edited by:
Bormann, P., Deutsches GeoForschungsZentrum GFZ, Potsdam, 1–41, https://doi.org/10.2312/GFZ.NMSOP-2_ch12, 2012.
Olea, R. A.: Geostatistics for engineers and earth scientists, Kluwer Academic Publishers, Dordrecht, https://doi.org/10.1007/978-1-4615-5001-3, 1999.
Pasolini, C., Albarello, D., Gasperini, P., D'Amico, V., and Lolli, B.: The attenuation of seismic intensity in Italy, Part II: Modeling and validation, B. Seismol. Soc. Am., 98, 692–708, https://doi.org/10.1785/0120070021, 2008.
Patané, G. and Imposa, S.: The Linera earthquake of May 8, 1914, in:
Atlas of isoseismal maps of Italian earthquakes, edited by: Postpischl, D., Quaderni della Ricerca Scientifica, 114, 120–121, 1985.
Postpischl, D., Branno, A., Esposito, E., Ferrari, G., Marturano, A.,
Porfido, S., Rinaldis, V., and Stucchi M.: The Irpinia earthquake of November
23, 1980, in: Atlas of isoseismal maps of Italian earthquakes, edited by: Postpischl, D., Quaderni della Ricerca Scientifica, 114, 52–59, 1985.
Provost, L. and Scotti, O.: QUake-MD: Open-Source Code to Quantify Uncertainties in Magnitude–Depth Estimates of Earthquakes from Macroseismic Intensities, Seismol. Res. Lett., 91, 2520–2530, https://doi.org/10.1785/0220200064, 2020.
Rey, J., Beauval, C., and Douglas, J.: Do French macroseismic intensity observations agree with expectations from the European Seismic Hazard Model 2013?, J. Seismol., 22, 589–604, https://doi.org/10.1007/s10950-017-9724-7, 2018.
Rotondi, R., Varini, E., and Brambilla, C.: Probabilistic modelling of macroseismic attenuation and forecast of damage scenarios, B. Earthq. Eng., 14, 1777–1796, https://doi.org/10.1007/s10518-015-9781-7, 2016.
Rovida, A., Locati, M., Antonucci, A., and Camassi, R.: Italian Archive of
Historical Earthquake Data (ASMI), Istituto Nazionale di Geofisica e
Vulcanologia (INGV) [data set], https://doi.org/10.13127/asmi, 2017.
Rovida, A., Locati, M., Camassi, R., Lolli, B., and Gasperini, P.: Catalogo Parametrico dei Terremoti Italiani (CPTI15), versione 2.0, Istituto Nazionale di Geofisica e Vulcanologia (INGV) [data set], https://doi.org/10.13127/CPTI/CPTI15.2, 2019.
Rovida, A., Locati, M., Camassi, R., Lolli, B., and Gasperini, P.: The Italian earthquake catalogue CPTI15, B. Earthq. Eng, 18, 2953–2984, https://doi.org/10.1007/s10518-020-00818-y, 2020.
Shebalin, N. V.: Atlas of isoseismal maps, III, UNDP-UNESCO Survey of the seismicity of the Balkan region, Skopje, 275 pp., 1974.
Sieberg, A.: Geologie der Erdbeben. Handbuch der Geophysik, Gebrüder Bornträger, Berlin, 2, 550–555, 1932.
Sørensen, M. B., Stromeyer, D., and Grünthal G.: Attenuation of macroseismic intensity: a new relation for the Marmara Sea region, northwest Turkey, B. Seismol. Soc. Am., 99, 538–553, https://doi.org/10.1785/0120080299, 2009.
Stirling, M. and Petersen, M.: Comparison of the historical record of earthquake hazard with seismic hazard models for New Zealand and continental Unites States, B. Seismol. Soc. Am., 96, 1978–1994, https://doi.org/10.1785/0120050176, 2006.
Stucchi, M., Albini, P., Mirto, M., and Rebez, A.: Assessing the completeness of Italian historical earthquake data, Ann. Geophys.-Italy, 47, 2–3, https://doi.org/10.4401/ag-3330, 2004.
Stucchi, M., Meletti, C., Montaldo, V., Crowley, H., Calvi, G. M., and Boschi, E.: Seismic hazard assessment (2003–2009) for the Italian building code, B. Seismol. Soc. Am., 101, 1885–1911, https://doi.org/10.1785/0120100130, 2011.
Stucchi, M., Rovida, A., Gomez Capera, A.A, Alexandre, P., Camelbeeck, T., Demircioglu, M. B., Gasperini, P., Kouskouna, V., Musson, R. M. W., Radulian, M., Sesetyan, K., Vilanova, S., Baumont, D., Bungum, H., Fäh, D., Lenhardt, W., Makropoulos, K., Martinez Solares, J. M., Scotti, O., Živcic, M., Albini, P., Batllo, J., Papaioannou, C., Tatevossian, R., Locati, M., Meletti, C., Viganò D., and Giardini, D.: The SHARE European Earthquake Catalogue (SHEEC) 1000–1899, J. Seismol., 17, 523–544, https://doi.org/10.1007/s10950-012-9335-2, 2013.
Swiss Seismological Service: ECOS – Earthquake Catalog of Switzerland ECOS report to PEGASOS, version 31.03.2002 SED, Zürich, 2002.
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., Rovida, A., Sesetyan, K., and Stucchi, M.: The 2013 European Seismic hazard model: key components and results, B. Earthq. Eng., 13, 3553–3596, https://doi.org/10.1007/s10518-015-9795-1, 2015.
Short summary
We present a probabilistic approach for integrating incomplete intensity distributions by means of the Bayesian combination of estimates provided by intensity prediction equations (IPEs) and data documented at nearby localities, accounting for the relevant uncertainties. The performance of the proposed methodology is tested at 28 Italian localities with long and rich seismic histories and for the strong 1980 and 2009 earthquakes in Italy. An application of this approach is also illustrated.
We present a probabilistic approach for integrating incomplete intensity distributions by means...
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