Articles | Volume 22, issue 8
https://doi.org/10.5194/nhess-22-2807-2022
© Author(s) 2022. 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-22-2807-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Aug 2022
Research article |
| 26 Aug 2022
An updated area-source seismogenic model (MA4) for seismic hazard of Italy
Francesco Visini
CORRESPONDING AUTHOR
Sezione di Pisa, Istituto Nazionale di Geofisica e Vulcanologia, Pisa,
Italy
Carlo Meletti
Sezione di Pisa, Istituto Nazionale di Geofisica e Vulcanologia, Pisa,
Italy
Andrea Rovida
Sezione di Milano, Istituto Nazionale di Geofisica e Vulcanologia,
Milan, Italy
Vera D'Amico
Sezione di Pisa, Istituto Nazionale di Geofisica e Vulcanologia, Pisa,
Italy
Bruno Pace
Dipartimento di Ingegneria e Geologia, Università degli Studi Gabriele d'Annunzio Chieti–Pescara, Chieti, Italy
Silvia Pondrelli
Sezione di Bologna, Istituto Nazionale di Geofisica e Vulcanologia,
Bologna, Italy
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Octavi Gómez-Novell, Bruno Pace, Francesco Visini, Joanna Faure Walker, and Oona Scotti
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2023-71, https://doi.org/10.5194/gmd-2023-71, 2023
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Knowing the rate at which earthquakes happen along active faults is crucial to characterize the hazard that they pose to society. We present an approach (PEACH) to correlate and compute seismic histories along faults using paleoseismic data, a common type of data that characterizes past seismic activity from the geological record. Our approach refines and reduces the uncertainties of the seismic histories and overall can improve the knowledge on faults for the seismic hazard.
Silvia Pondrelli, Francesco Visini, Andrea Rovida, Vera D'Amico, Bruno Pace, and Carlo Meletti
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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.
Bruno Pace, Francesco Visini, Oona Scotti, and Laura Peruzza
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Alessandro Valentini, Francesco Visini, and Bruno Pace
Nat. Hazards Earth Syst. Sci., 17, 2017–2039, https://doi.org/10.5194/nhess-17-2017-2017, https://doi.org/10.5194/nhess-17-2017-2017, 2017
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In this paper, we present the results of an alternative seismogenic source model for use in a probabilistic seismic hazard assessment for Italy that integrates active fault and seismological data. Combining active faults and background sources is one of the key aspects in this type of approach. The strength of our approach lies in its ability to integrate different levels of available information for active faults in Italy or elsewhere.
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.
Octavi Gómez-Novell, Bruno Pace, Francesco Visini, Joanna Faure Walker, and Oona Scotti
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Knowing the rate at which earthquakes happen along active faults is crucial to characterize the hazard that they pose to society. We present an approach (PEACH) to correlate and compute seismic histories along faults using paleoseismic data, a common type of data that characterizes past seismic activity from the geological record. Our approach refines and reduces the uncertainties of the seismic histories and overall can improve the knowledge on faults for the seismic hazard.
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
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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 Antonucci, Andrea Rovida, Vera D'Amico, and Dario Albarello
Nat. Hazards Earth Syst. Sci., 21, 2299–2311, https://doi.org/10.5194/nhess-21-2299-2021, https://doi.org/10.5194/nhess-21-2299-2021, 2021
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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.
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.
Laura Petrescu, Silvia Pondrelli, Simone Salimbeni, Manuele Faccenda, and the AlpArray Working Group
Solid Earth, 11, 1275–1290, https://doi.org/10.5194/se-11-1275-2020, https://doi.org/10.5194/se-11-1275-2020, 2020
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To place constraints on the mantle deformation beneath the Central Alps and the greater Alpine region, we analysed the appropriate seismic signal recorded by more than 100 stations, belonging to AlpArray and to other permanent networks. We took a picture of the imprinting that Alpine orogen history and related subductions left at depth, with a mainly orogen-parallel mantle deformation from Western Alps to Eastern Alps, but also N to S from the Po Plain to the Rhine Graben.
Bruno Pace, Francesco Visini, Oona Scotti, and Laura Peruzza
Nat. Hazards Earth Syst. Sci., 18, 1349–1350, https://doi.org/10.5194/nhess-18-1349-2018, https://doi.org/10.5194/nhess-18-1349-2018, 2018
Alessandro Valentini, Francesco Visini, and Bruno Pace
Nat. Hazards Earth Syst. Sci., 17, 2017–2039, https://doi.org/10.5194/nhess-17-2017-2017, https://doi.org/10.5194/nhess-17-2017-2017, 2017
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In this paper, we present the results of an alternative seismogenic source model for use in a probabilistic seismic hazard assessment for Italy that integrates active fault and seismological data. Combining active faults and background sources is one of the key aspects in this type of approach. The strength of our approach lies in its ability to integrate different levels of available information for active faults in Italy or elsewhere.
Laura Peruzza, Raffaele Azzaro, Robin Gee, Salvatore D'Amico, Horst Langer, Giuseppe Lombardo, Bruno Pace, Marco Pagani, Francesco Panzera, Mario Ordaz, Miguel Leonardo Suarez, and Giuseppina Tusa
Nat. Hazards Earth Syst. Sci., 17, 1999–2015, https://doi.org/10.5194/nhess-17-1999-2017, https://doi.org/10.5194/nhess-17-1999-2017, 2017
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It is well known that volcanoes and earthquakes are associated, and some active volcanoes cause damaging earthquakes. Nonetheless, volcanoes usually are not pinpointed on a hazard map, as the effects of shallow, volcanic earthquakes can be overshadowed by stronger tectonic earthquakes in the region, particularly when long exposure periods are considered. In this study we faced some challenges with software implementations and original concept scheme for an original PSHA at Mt. Etna, Italy.
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We describe here the contribution of Istituto Nazionale di Geofisica e Vulcanolgia (INGV) to the AlpArray Seismic Network (AASN) in the framework of the AlpArray project (http://www.alparray.ethz.ch), a large European collaborative research initiative.
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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
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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
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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.
Ekbal Hussain, Endra Gunawan, Nuraini Rahma Hanifa, and Qori’atu Zahro
EGUsphere, https://doi.org/10.5194/egusphere-2022-1472, https://doi.org/10.5194/egusphere-2022-1472, 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 2.5–3.3 million people would be exposed to high levels of ground shaking in the event of a major earthquake on the fault.
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.
Subash Ghimire, Philippe Guéguen, Adrien Pothon, and Danijel Schorlemmer
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-7, https://doi.org/10.5194/nhess-2023-7, 2023
Revised manuscript accepted for NHESS
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This study looks at using machine learning models to predict damage to buildings during earthquakes. The models were trained using data from earthquakes in Italy and results showed that a model can result good estimate of damage. The accuracy of the machine learning-based model was similar to that of a traditional method used for predicting damage. This method can be used for rapid estimate of damage during emergency situations.
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.
Simone Francesco Fornasari, Deniz Ertuncay, and Giovanni Costa
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2022-258, https://doi.org/10.5194/nhess-2022-258, 2022
Revised manuscript accepted for NHESS
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We analyzed the background seismic noise for the Italian strong motion network. Several stations located near urban areas are affected by human activities and have high noise levels in the low periods. As such, noise levels show clear daily and weekly patterns and reductions during the COVID-19 lockdown. Moreover, we found slight seasonal variations. Our results provide an overview of the background noise of the network and can be used as a station selection criterion for future research.
Jack N. Williams, Luke N. J. Wedmore, Åke Fagereng, Maximilian J. Werner, Hassan Mdala, Donna J. Shillington, Christopher A. Scholz, Folarin Kolawole, Lachlan J. M. Wright, Juliet Biggs, Zuze Dulanya, Felix Mphepo, and Patrick Chindandali
Nat. Hazards Earth Syst. Sci., 22, 3607–3639, https://doi.org/10.5194/nhess-22-3607-2022, https://doi.org/10.5194/nhess-22-3607-2022, 2022
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We use geologic and GPS data to constrain the magnitude and frequency of earthquakes that occur along active faults in Malawi. These faults slip in earthquakes as the tectonic plates on either side of the East African Rift in Malawi diverge. Low divergence rates (0.5–1.5 mm yr) and long faults (5–200 km) imply that earthquakes along these faults are rare (once every 1000–10 000 years) but could have high magnitudes (M 7–8). These data can be used to assess seismic risk in Malawi.
Mohamadreza Hosseini and Habib Rahimi
Nat. Hazards Earth Syst. Sci., 22, 3571–3583, https://doi.org/10.5194/nhess-22-3571-2022, https://doi.org/10.5194/nhess-22-3571-2022, 2022
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Earthquakes, not only because of earth-shaking but also because of surface ruptures, are a serious threat to many human activities. Reducing earthquake losses and damage requires predicting the amplitude and location of ground movements and possible surface displacements in the future. Using the probabilistic approach and earthquake method, the surface displacement of the north Tabriz fault has been investigated, and the possible displacement in different scenarios has been estimated.
Maria Francesca Ferrario
Nat. Hazards Earth Syst. Sci., 22, 3527–3542, https://doi.org/10.5194/nhess-22-3527-2022, https://doi.org/10.5194/nhess-22-3527-2022, 2022
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I mapped over 5000 landslides triggered by a moment magnitude 6.0 earthquake that occurred in 2015 in the Sabah region (Malaysia). I analyzed their number, dimension and spatial distribution by dividing the territory into 1 km2 cells. I applied the Environmental Seismic Intensity (ESI-07) scale, which allows the categorization of earthquake damage due to environmental effects. The presented approach promotes the collaboration among the experts in landslide mapping and in ESI-07 assignment.
Kirsty Bayliss, Mark Naylor, Farnaz Kamranzad, and Ian Main
Nat. Hazards Earth Syst. Sci., 22, 3231–3246, https://doi.org/10.5194/nhess-22-3231-2022, https://doi.org/10.5194/nhess-22-3231-2022, 2022
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We develop probabilistic earthquake forecasts that include different spatial information (e.g. fault locations, strain rate) using a point process method. The performance of these models is tested over three different periods and compared with existing forecasts. We find that our models perform well, with those using simulated catalogues that make use of uncertainty in model parameters performing better, demonstrating potential to improve earthquake forecasting using Bayesian approaches.
Mariana Belferman, Amotz Agnon, Regina Katsman, and Zvi Ben-Avraham
Nat. Hazards Earth Syst. Sci., 22, 2553–2565, https://doi.org/10.5194/nhess-22-2553-2022, https://doi.org/10.5194/nhess-22-2553-2022, 2022
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Internal fluid pressure in pores leads to breaking. With this mechanical principle and a correlation between historical water level changes and seismicity, we explore possible variants for water level reconstruction in the Dead Sea basin. Using the best-correlated variant, an additional indication is established regarding the location of historical earthquakes. This leads us to propose a certain forecast for the next earthquake in view of the fast and persistent dropping level of the Dead Sea.
Xuezhong Chen, Yane Li, and Lijuan Chen
Nat. Hazards Earth Syst. Sci., 22, 2543–2551, https://doi.org/10.5194/nhess-22-2543-2022, https://doi.org/10.5194/nhess-22-2543-2022, 2022
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When the tectonic stress in the crust increases, the b value will decrease, meaning the effects of tidal stresses are enhanced gradually. Increase in the tidal Coulomb failure stress might promote the occurrence of earthquakes, whereas its decrease could have an opposite effect. This observation may provide an insight into the processes leading to the Wenchuan earthquake and its precursors.
Fabrizio Marra, Alberto Frepoli, Dario Gioia, Marcello Schiattarella, Andrea Tertulliani, Monica Bini, Gaetano De Luca, and Marco Luppichini
Nat. Hazards Earth Syst. Sci., 22, 2445–2457, https://doi.org/10.5194/nhess-22-2445-2022, https://doi.org/10.5194/nhess-22-2445-2022, 2022
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Through the analysis of the morphostructural setting in which the seismicity of Rome is framed, we explain why the city should not expect to suffer damage from a big earthquake.
Chengjun Feng, Guangliang Gao, Shihuai Zhang, Dongsheng Sun, Siyu Zhu, Chengxuan Tan, and Xiaodong Ma
Nat. Hazards Earth Syst. Sci., 22, 2257–2287, https://doi.org/10.5194/nhess-22-2257-2022, https://doi.org/10.5194/nhess-22-2257-2022, 2022
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We show how FSP (Fault Slip Potential) software can be used in quantitative screening to estimate the fault slip potential in a region with some uncertainties in the ambient stress field and to assess the reactivation potential on these faults of presumably higher criticality in response to fluid injection. The case study of the Matouying enhanced geothermal system (EGS) field has important implications for deep geothermal exploitation in China, especially for the Gonghe EGS in Qinghai Province.
Patrick Oswald, Michael Strasser, Jens Skapski, and Jasper Moernaut
Nat. Hazards Earth Syst. Sci., 22, 2057–2079, https://doi.org/10.5194/nhess-22-2057-2022, https://doi.org/10.5194/nhess-22-2057-2022, 2022
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This study provides the first regional earthquake catalogue of the eastern Alps spanning 16 000 years by using three lake paleoseismic records. Recurrence statistics reveal that earthquakes recur every 1000–2000 years in an aperiodic pattern. The magnitudes of paleo-earthquakes exceed the historically documented values. This study estimates magnitude and source areas for severe paleo-earthquakes, and their shaking effects are explored in the broader study area.
Haoyu Wen, Hong-Jia Chen, Chien-Chih Chen, Massimo Pica Ciamarra, and Siew Ann Cheong
Nat. Hazards Earth Syst. Sci., 22, 1931–1954, https://doi.org/10.5194/nhess-22-1931-2022, https://doi.org/10.5194/nhess-22-1931-2022, 2022
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Recently, there has been growing interest from earth scientists to use the electric field deep underground to forecast earthquakes. We go one step further by using the electric fields, which can be directly measured, to separate/classify time periods with two labels only according to the statistical properties of the electric fields. By checking against historical earthquake records, we found time periods covered by one of the two labels to have significantly more frequent earthquakes.
Karma Tempa, Komal Raj Aryal, Nimesh Chettri, Giovanni Forte, and Dipendra Gautam
Nat. Hazards Earth Syst. Sci., 22, 1893–1909, https://doi.org/10.5194/nhess-22-1893-2022, https://doi.org/10.5194/nhess-22-1893-2022, 2022
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This paper performs site response analysis and studies soil amplification for Bhutan Himalaya. A sensitivity study is performed to assess the effect of variation in strong ground motion.
Tayeb Smail, Mohamed Abed, Ahmed Mebarki, and Milan Lazecky
Nat. Hazards Earth Syst. Sci., 22, 1609–1625, https://doi.org/10.5194/nhess-22-1609-2022, https://doi.org/10.5194/nhess-22-1609-2022, 2022
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The Sentinel-1 SAR datasets and Sentinel-2 data are used in this study to investigate the impact of natural hazards (earthquakes and landslides) on struck areas. In InSAR processing, the use of DInSAR, CCD methods, and the LiCSBAS tool permit generation of time-series analysis of ground changes. Three land failures were detected in the study area. CCD is suitable to map landslides that may remain undetected using DInSAR. In Grarem, the failure rim is clear in coherence and phase maps.
Jonatan Glehman and Michael Tsesarsky
Nat. Hazards Earth Syst. Sci., 22, 1451–1467, https://doi.org/10.5194/nhess-22-1451-2022, https://doi.org/10.5194/nhess-22-1451-2022, 2022
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Due to an insufficient number of recorded moderate–strong earthquakes in Israel, estimating the ground motions and the subsequent seismic hazard mitigation becomes a challenge. To fill this gap, we performed a series of 3-D numerical simulations of moderate and moderate–strong earthquakes. We examined the ground motions and their variability through a self-developed statistical model. However, the model cannot fully capture the ground motion variability due to the local seismotectonic setting.
Federico Mori, Amerigo Mendicelli, Gaetano Falcone, Gianluca Acunzo, Rose Line Spacagna, Giuseppe Naso, and Massimiliano Moscatelli
Nat. Hazards Earth Syst. Sci., 22, 947–966, https://doi.org/10.5194/nhess-22-947-2022, https://doi.org/10.5194/nhess-22-947-2022, 2022
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This work addresses the problem of the ground motion estimation over large areas as an important tool for seismic-risk reduction policies. In detail, the near-real-time estimation of ground motion is a key issue for emergency system management. Starting from this consideration, the present work proposes the application of a machine learning approach to produce ground motion maps, using nine input proxies. Such proxies consider seismological, geophysical, and morphological parameters.
Margarida Ramalho, Luis Matias, Marta Neres, Michele M. C. Carafa, Alexandra Carvalho, and Paula Teves-Costa
Nat. Hazards Earth Syst. Sci., 22, 117–138, https://doi.org/10.5194/nhess-22-117-2022, https://doi.org/10.5194/nhess-22-117-2022, 2022
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Probabilistic seismic hazard assessment (PSHA) is the most common tool used to decide on the acceptable seismic risk by society and mitigation measures. In slowly deforming regions, such Iberia, the earthquake generation models (EGMs) for PSHA suffer from great uncertainty. In this work we propose two sanity tests to be applied to EGMs, comparing the EGM moment release with constrains derived from GNSS observations or neotectonic modelling. Similar tests should be part of other region studies.
Janneke van Ginkel, Elmer Ruigrok, Jan Stafleu, and Rien Herber
Nat. Hazards Earth Syst. Sci., 22, 41–63, https://doi.org/10.5194/nhess-22-41-2022, https://doi.org/10.5194/nhess-22-41-2022, 2022
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A soft, shallow subsurface composition has the tendency to amplify earthquake waves, resulting in increased ground shaking. Therefore, this paper presents a workflow in order to obtain a map classifying the response of the subsurface based on local geology, earthquake signals, and background noise recordings for the Netherlands. The resulting map can be used as a first assessment in regions with earthquake hazard potential by mining or geothermal energy activities, for example.
Enrico Baglione, Stefano Lorito, Alessio Piatanesi, Fabrizio Romano, Roberto Basili, Beatriz Brizuela, Roberto Tonini, Manuela Volpe, Hafize Basak Bayraktar, and Alessandro Amato
Nat. Hazards Earth Syst. Sci., 21, 3713–3730, https://doi.org/10.5194/nhess-21-3713-2021, https://doi.org/10.5194/nhess-21-3713-2021, 2021
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We investigated the seismic fault structure and the rupture characteristics of the MW 6.6, 2 May 2020, Cretan Passage earthquake through tsunami data inverse modelling. Our results suggest a shallow crustal event with a reverse mechanism within the accretionary wedge rather than on the Hellenic Arc subduction interface. The study identifies two possible ruptures: a steeply sloping reverse splay fault and a back-thrust rupture dipping south, with a more prominent dip angle.
Navid Hooshangi, Ali Asghar Alesheikh, Mahdi Panahi, and Saro Lee
Nat. Hazards Earth Syst. Sci., 21, 3449–3463, https://doi.org/10.5194/nhess-21-3449-2021, https://doi.org/10.5194/nhess-21-3449-2021, 2021
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Task allocation under uncertain conditions is a key problem for agents attempting to achieve harmony in disaster environments. This paper presents an agent-based simulation to investigate task allocation considering appropriate spatial strategies to manage uncertainty in urban search and rescue (USAR) operations.
Thomas Chartier, Oona Scotti, Hélène Lyon-Caen, Keith Richard-Dinger, James H. Dieterich, and Bruce E. Shaw
Nat. Hazards Earth Syst. Sci., 21, 2733–2751, https://doi.org/10.5194/nhess-21-2733-2021, https://doi.org/10.5194/nhess-21-2733-2021, 2021
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In order to evaluate the seismic risk, we first model the annual rate of occurrence of earthquakes on the faults near Istanbul. By using a novel modelling approach, we consider the fault system as a whole rather than each fault individually. We explore the hypotheses that are discussed in the scientific community concerning this fault system and compare the modelled results with local recorded data and a physics-based model, gaining new insights in particular on the largest possible earthquake.
Francisco J. Chávez-García, Hugo Monsalve-Jaramillo, and Joaquín Vila-Ortega
Nat. Hazards Earth Syst. Sci., 21, 2345–2354, https://doi.org/10.5194/nhess-21-2345-2021, https://doi.org/10.5194/nhess-21-2345-2021, 2021
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We analyze earthquake damage observed in Armenia, Colombia, during the 1999 event. We investigate the reasons behind the damage and the possibility of predicting it using vulnerability studies. We show that vulnerability was a major factor and that observed damage was predicted by a vulnerability study made in 1993, which sadly had no societal impact. The comparison between two vulnerability studies, in 1993 and 2004, suggests that Armenia may still be highly vulnerable to future earthquakes.
Andrea Antonucci, Andrea Rovida, Vera D'Amico, and Dario Albarello
Nat. Hazards Earth Syst. Sci., 21, 2299–2311, https://doi.org/10.5194/nhess-21-2299-2021, https://doi.org/10.5194/nhess-21-2299-2021, 2021
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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.
Changsheng Jiang, Libo Han, Feng Long, Guijuan Lai, Fengling Yin, Jinmeng Bi, and Zhengya Si
Nat. Hazards Earth Syst. Sci., 21, 2233–2244, https://doi.org/10.5194/nhess-21-2233-2021, https://doi.org/10.5194/nhess-21-2233-2021, 2021
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The b value is a controversial parameter that has the potential to identify the location of an upcoming strong earthquake. We conducted a case study using a newly developed algorithm that can overcome the subjectivity of calculation. The results confirmed the scientific significance of the b value for seismic hazard analysis and revealed that fluid intrusion may have been the cause of the overactive aftershocks of the studied earthquake.
Kristján Jónasson, Bjarni Bessason, Ásdís Helgadóttir, Páll Einarsson, Gunnar B. Guðmundsson, Bryndís Brandsdóttir, Kristín S. Vogfjörd, and Kristín Jónsdóttir
Nat. Hazards Earth Syst. Sci., 21, 2197–2214, https://doi.org/10.5194/nhess-21-2197-2021, https://doi.org/10.5194/nhess-21-2197-2021, 2021
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Local information on epicentres and Mw magnitudes from international catalogues have been combined to compile a catalogue of earthquakes in and near Iceland in the years 1900–2019. The magnitudes are either moment-tensor modelled or proxy values obtained with regression on Ms or exceptionally on mb. The catalogue also covers the northern Mid-Atlantic Ridge with less accurate locations but similarly harmonised magnitudes.
Onur Tan
Nat. Hazards Earth Syst. Sci., 21, 2059–2073, https://doi.org/10.5194/nhess-21-2059-2021, https://doi.org/10.5194/nhess-21-2059-2021, 2021
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Turkey is one of the most seismically active regions. In this study, an extended and homogenized earthquake catalogue, which is essential for seismic hazard studies, is presented in an easily manageable format for a wide range of researchers in earth sciences. It is the most comprehensive catalogue for Turkey and contains approximately ~ 378 000 events between 1900 and 2018.
Enrique Guillermo Cordaro, Patricio Venegas-Aravena, and David Laroze
Nat. Hazards Earth Syst. Sci., 21, 1785–1806, https://doi.org/10.5194/nhess-21-1785-2021, https://doi.org/10.5194/nhess-21-1785-2021, 2021
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We developed a methodology that generates free externally disturbed magnetic variations in ground magnetometers close to the Chilean convergent margin. Spectral analysis (~ mHz) and magnetic anomalies increased prior to large Chilean earthquakes (Maule 2010, Mw 8.8; Iquique 2014, Mw 8.2; Illapel 2015, Mw 8.3). These findings relate to microcracks within the lithosphere due to stress state changes. This physical evidence should be thought of as a last stage of the earthquake preparation process.
Cited articles
Albarello, D., Camassi, R., and Rebez, A.: Detection of space and time
heterogeneity in the completeness of a seismic catalogue by a statistical
approach: an application to the Italian area,
B. Seismol. Soc. Am., 91, 1694–1703, https://doi.org/10.1785/0120000058,
2001.
Akkar, S., Sandıkkaya, M. A., and Bommer, J. J.: Empirical ground-motion
models for point- and extended-source crustal earthquake scenarios in Europe
and the Middle East, B. Earthq. Eng., 12, 359–387, https://doi.org/10.1007/s10518-013-9461-4, 2014.
Basili, R., Valensise, G., Vannoli, P., Burrato, P., Fracassi, U., Mariano,
S., and Tiberti M. M.: The Database of Individual Seismogenic Sources (DISS),
version 3: summarizing 20 years of research on Italy's earthquake geology,
Tectonophysics, 453, 20–43, https://doi.org/10.1016/j.tecto.2007.04.014, 2008.
Bernardi, F., Braunmiller, J., Kradolfer, U., and Giardini, D.: Automatic
regional moment tensor inversion in the European-Mediterranean region,
Geophys. J. Int., 157, 703–716, 2004.
Billi, A., Presti D., Orecchio, B., Faccenna, C., and Neri, G.: Incipient
extension along the active convergent margin of Nubia in Sicily, Italy: the
Cefalu-Etna seismic zone, Tectonics, 29, TC4026, https://doi.org/10.1029/2009TC002559,
2010.
Bindi, D., Pacor, F., Luzi, L., Puglia, R., Massa, M., Ameri, G., and
Paolucci, R.: Ground motion prediction equa-tions derived from the Italian
strong motion database, Bull. Earthq. Eng., 9, 1899–1920, 2011.
Bindi, D., Massa, M., Luzi, L., Ameri, G., Pacor, F., Puglia, R., and
Augliera, P.: Pan-European ground-motion prediction equations for the
average horizontal component of PGA, PGV, and 5 %-damped PSA at spectral
periods up to 3.0 s using the RESORCE dataset, Bull. Earthq. Eng., 12,
391–430, 2014.
Boncio, P., Lavecchia, G., and Pace, B.: Defining a model of 3D seismogenic
sources for seismic hazard assessment applications: The case of central
Apennines (Italy), J. Seismol., 8, 407–425, 2004.
Boncio, P., Tinari, D. P., Lavecchia, G., Visini, F., and Milana, G.: The
instrumental seismicity of the Abruzzo Region in Central Italy (1981–2003):
seismotectonic implications, Ital. J. Geosci., 128,
367–380, 2009.
Catalano, S., Romagnoli, G., and Tortorici, G.: Kinematics and dynamics of
the Late Quaternary rift-flank deformation in the Hyblean Plateau (SE
Sicily), Tectonophysics, 486, 1–14, https://doi.org/10.1016/j.tecto.2010.01.013, 2010.
Cauzzi, C., Faccioli, E., Vanini, M., and Bianchini, A.: Updated predictive
equations for broadband (0.01–10 s) horizontal response spectra and peak
ground motions, based on a global dataset of digital acceleration records,
Bull. Earthq. Eng., 13, 1587–1612, https://doi.org/10.1007/s10518-014-9685-y, 2015.
CNR, P. F. GEODINAMICA: Structural Model of Italy 1:500 000 and Gravity Map,
Quad. Ric. Sci., 3, S.EL.CA., Firenze, https://www.socgeol.it/438/structural-model-of-italy-scale-1-500-000.html (last access: 25 August 2022), 1990.
Collettini, C. and Barchi, M. R.: A Low Angle Normal Fault in the Umbria
Region (Central Italy): A Mechanical Model for the Related Microseismicity,
Tectonophysics, 359, 97–115, https://doi.org/10.1016/S0040-1951(02)00441-9, 2002.
Coppersmith, K. J. and Youngs, R. R.: Capturing uncertainty in
probabilistic seismic hazard assessments within intraplate tectonic
environments, in: Proceedings of the Third U.S. National Conference on
Earthquake Engineering, Charleston, South Carolina, 1, 301–312, 1986.
Danciu, L., Sesetyan, K., Demircioglu, M., Gülen, L., Zare, M., Basili, R., Elias, A., Adamia, S., Tsereteli, N., Yalc ̧ H., Utkucu, M., Khan, M. A., Sayab, M., Hessami, K., Rovida, A. N., Stucchi, M., Burg, J. P., Karakhanian, A., Babayan, H., Avanesyan, M., Mammadli, T., Al-Qaryouti, M., Kalafat, D., Varazanashvili, O., Erdik, M., and Giardini, D: The 2014
Earthquake Model of the Middle East: seismogenic sources, Bull. Earthquake
Eng., 16, 3465–3496, https://doi.org/10.1007/s10518-017-0096-8, 2018.
Danciu, L., Nandan, S., Reyes, C., Basili, R., Weatherill, G., Beauval, C.,
Rovida, A., Vilanova, S., Sesetyan, K., Bard, P.-Y., Cotton, F., Wiemer, S.,
and Giardini, D.: The 2020 update of the European Seismic Hazard Model:
Model Overview, EFEHR Technical Report 001, v1.0.0, 1–121, https://doi.org/10.12686/a15, 2021.
Delacou, B., Sue, C., Champagnac, J. D., and Burkhard, M.: Present-day
geodynamics in the bend of the Western and Central Alps as constrained by
earthquake analysis, Geophys. J. Int., 158, 753–774, 2004.
Della Vedova, B., Bellani, S., Pellis, G., and Squarci, P.: Deep
temperatures and surfaceheat flow density distribution, in: Anatomy of an Orogen: The Apennines and Adjacent
Mediterranean Basins, edited by: Vai, G. B. and Martini, P., Kluwer Academic Publishers, Dordrecht, Netherlands, 65–76, 2001.
De Novellis, V., Carlino, S., Castaldo, R., Tramelli, A., De Luca, C., Pino, N. A., Pepe, S., Convertito, V., Zinno, I., De Martino, P., Bonano, M., Giudicepietro, F., Casu, F., Macedonio, G., Manunta, M., Cardaci, C., Manzo, M., Di Bucci, D., Solaro, G., Zeni, G., Lanari, R., Bianco, F., and Tizzani P.: The 21 August 2017 Ischia (Italy) earthquake source model inferred from seismological, GPS, and DInSAR measurements, Geophys. Res. Lett., 45, 2193–2202, 2018.
Devoti, R., D'Agostino, N., Serpelloni, E., Pietrantonio, G., Riguzzi, F., Avallone, A., Cavaliere, A., Cheloni, D., Cecere, G., D’Ambrosio, C., Franco, L., Selvaggi, G., Metois, M., Esposito, A., Sepe, V., Galvani, A., and Anzidei, M.: A Combined Velocity Field of the Mediterranean Region, Ann. Geophys., 60, S0215, https://doi.org/10.4401/ag-7059, 2017.
Di Stefano, R., Bianchi, I., Ciaccio, M. G., Carrara, G., and Kissling, E.:
Three-dimensional Moho topography in Italy: new constraints from receiver
functions and controlled source seismology, Geochem. Geophy. Geosy., 12, Q09006, https://doi.org/10.1029/2011GC003649, 2011.
DISS Working Group: Database of Individual Seismogenic Sources (DISS),
Version 3.2.1: A compilation of potential sources for earthquakes larger
than M 5.5 in Italy and surrounding areas, Istituto Nazionale di Geofisica e
Vulcanologia, https://doi.org/10.6092/INGV.IT-DISS3.2.1, 2018.
Ekström, G., Nettles, M., and Dziewonski, A. M.: The global CMT project
2004–2010: Centroid-moment tensors for 13,017 earthquakes, Phys. Earth
Planet. Inter., 200–201, 1–9, https://doi.org/10.1016/j.pepi.2012.04.002, 2012.
Faure Walker, J. P., Roberts, G., Sammonds, P., and Cowie, P.: Comparison of
earthquake strains over 100 and 10,000 year timescales: insights into
variability in the seismic cycle in the central Apennines, Italy. J.
Geophys. Res., 115, B10418, https://doi.org/10.1029/2009JB006462, 2010.
Faure Walker, J. P., Roberts, G. P., Cowie, P. A., Papanikolaou, I., Michetti, A. M., Sammonds, P., Wilkinson, M., McCaffrey, K. J. W., and Phillips, R. J.: Relationship between topography, rates of
extension and mantle dynamics in the actively-extending Italian Apennines,
Earth Planet. Sc. Lett., 325–326, 76–84, 2012.
Gardner, J. K. and Knopoff, L.: Is the sequence of earthquakes in Southern
California, with aftershocks removed, Poissonian?, B. Seismol. Soc. Am., 64, 1363–1367, 1974.
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, 2010.
Gasperini, P., Lolli, B., Vannucci, G., and Boschi, E.: A comparison of
moment magnitude estimates for the European – Mediterranean and Italian
region, Geophys. J. Int., 190, 1733–1745, 2012.
Gasperini, P., Lolli, B., and Vannucci, G.: Empirical calibration of local
magnitude data sets versus moment magnitude in Italy, B. Seismol. Soc. Am., 103, 2227–2246, 2013.
Gasperini, P., Lolli, B., and Vannucci, G.: Catalogue of Mw magnitudes for the Italian area, 1981–2015, MPS16 Project Internal report, 2016.
Giardini, D.: The Global Seismic Hazard Assessment Program (GSHAP) –
1992/1999, Ann. Geofis., 42, https://doi.org/10.4401/ag-3780, 1999.
Guidoboni, E., Ferrari, G., Mariotti, D., Comastri, A., Tarabusi, G., and Valensise, G.: CFTI4Med, Catalogue of Strong Earthquakes in Italy from 461 BC. to 2000 and in the Mediterranean area, from 760 BC. to 1500, An Advanced Laboratory of Historical Seismology, http://storing.ingv.it/cfti4med/ (last access: 25 August 2022), 2007.
Guidoboni, E., Ferrari, G., Tarabusi, G., Sgattoni, G., Comastri, A., Mariotti, D., Ciuccarelli, C., Bianchi, M. G., and Valensise, G.: CFTI5Med, the new release of the catalogue of strong earthquakes in Italy and in the Mediterranean area, Sci. Data, 6, 80, https://doi.org/10.1038/s41597-019-0091-9, 2019.
Kulkarni, R. B., Youngs, R. R., and Coppersmith, K. J.: Assessment of
confidence intervals for results of seismic hazard analysis, in: Proceedings
of the Eighth World Conference on Earthquake Engineering, San Francisco, CA, 21–28 July, 1, 263–270, 1984.
Lanzano, G. and Luzi, L.: A ground motion model for volcanic areas in
Italy, Bull. Earthq. Eng., 18, 57–76, https://doi.org/10.1007/s10518-019-00735-9, 2020.
Lanzano, G., Luzi, L., D'Amico, V., Pacor, F., Meletti, C., Marzocchi, W.,
Rotondi, R., and Varini, E.: Ground Motion Models for the new seismic hazard
model of Italy (MPS19): selection for active shallow crustal regions and
subduction zones, Bull. Earthq. Eng., 18, 3487–3516,
https://doi.org/10.1007/s10518-020-00850-y, 2020.
Lavecchia, G., De Nardis, R., Visini, F., Ferrarini, F., and Barbano, M. S.:
Seismogenic evidence of ongoing compression in eastern-central Italy and
mainland Sicily: a comparison, Ital. J. Geosci., 126, 209–222, 2007a.
Lavecchia, G., Ferrarini, F., de Nardis, R., Visini, F., and Barbano, M.S.:
Active thrusting as a possible seismogenic source in Sicily (southern
Italy): Some insights from integrated structural-kinematic and seismological
data, Tectonophysics, 445, 145–167, https://doi.org/10.1016/j.tecto.2007.07.007,
2007b.
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., and Rocchetti, E.: Database Macrosismico Italiano (DBMI15), Istituto Nazionale di Geofisica e Vulcanologia (INGV), https://doi.org/10.6092/INGV.IT-DBMI15, 2016.
Lolli, B., Gasperini, P., and Vannucci, G.: Empirical conversion between
teleseismic magnitudes (mb and Ms) and moment magnitude (Mw) at the global,
Euro-Mediterranean and Italian scale, Geophys. J. Int., 199, 805–828, https://doi.org/10.1093/gji/ggu264, 2014.
Lolli, B., Gasperini, P., and Vannucci, G.: Erratum: Empirical conversion
between teleseismic magnitudes (mb and Ms) and moment magnitude (Mw) at the
global, Euro-Mediterranean and Italian scale, Geophys. J. Int., 200, 199, https://doi.org/10.1093/gji/ggu385, 2015.
Lolli, B., Gasperini, P., and Rebez, A.: Homogenization of magnitude
estimates in terms of Mw of Italian earthquakes occurred before 1981,
Geophys. J. Int., 108, 481–49, https://doi.org/10.1785/0120170114,
2018.
Lolli, B., Randazzo, D., Vannucci, G., and Gasperini, P.: The Homogenized
Instrumental Seismic Catalogue (HORUS) of Italy from 1960 to Present,
Seismol. Res. Lett., 91, 3208–3222, https://doi.org/10.1785/0220200148, 2020.
Mariucci, M. T. and Montone, P.: Database of Italian present-day stress
indicators, IPSI 1.4, Sci. Data, 7, 1–11,
https://doi.org/10.1038/s41597-020-00640-w, 2020.
Marzocchi, W., Spassiani, I., Stallone, A., and Taroni, M.: How to be fooled
searching for significant variations of the b-value, Geophys. J. Int., 220, 1845–1856, 2020.
Mastrolembo, B., Serpelloni, E., Argnani, A., Bonforte, A., Burgmann, R.,
Anzidei, M., Baldi, P., and Puglisi, G.: Fast geodetic strain-rates in
eastern Sicily (southern Italy): New insights into block tectonics and
seismic potential in the area of the great 1693 earthquake, Earth Planet. Sc. Lett., 404, 77–88, https://doi.org/10.1016/j.epsl.2014.07.025, 2014.
Meghraoui, M., Maouche, S., Chemaa, B., Cakir, Z., Aoudia, A., Harbi, A., Alasset, P.J., Ajadi, A., Bouhadad Y., and Benhamouda, F.: Coastal uplift and thrust faulting associated with the Mw=6.8 Zemmouri (Algeria) earthquake of 21 May, 2003, Geophys. Res. Lett., 31, L19605, https://doi.org/10.1029/2004GL020466, 20034.
Meletti, C., Patacca, E., and Scandone, P.: Construction of a seismo-
tectonic model: The case of Italy, Pure Appl. Geophys. 157, 11–35, 2000.
Meletti, C., Galadini, F., Valensise, G., Stucchi, M., Basili, R., Barba,
S., Vannucci, G., and Boschi, E.: A seismic source model for the seismic
hazard assessment of the Italian territory, Tectonophysics, 450, 85–108,
https://doi.org/10.1016/j.tecto.2008.01.003, 2008.
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.,
64, SE112, https://doi.org/10.4401/ag-8579, 2021.
National Research Council: Probabilistic Seismic Hazard Analysis, Washington, DC: The National Academies Press, https://doi.org/10.17226/19108, 1988.
NTC: Norme Tecniche per le Costruzioni NTC18, Ministerial Decree 17 January 2018,
Italian Official Gazette, N. 42, 20 February 2018, https://www.gazzettaufficiale.it/eli/id/2018/2/20/18A00716/sg (last access: 25 August 2022), 2018.
Ordaz, M.: Some Integrals Useful in Probabilistic Seismic Hazard Analysis,
B. Seismol. Soc. Am., 94, 1510–1516, 2004.
Pagani, M., Monelli, D., Weatherill, G., Danciu, L., Crow- ley, H., Silva,
V., Henshaw, P., Butler, L., Nastasi, M., Panzeri, L., Simionato, M., and
Vigano, D.: OpenQuake engine: An open hazard (and risk) software for the
global earthquake model, Seismol. Res. Lett. 85, 692–702,
https://doi.org/10.1785/0220130087, 2014.
Papanikolaou, I. D. and Roberts, G. P.: Geometry, Kinematics and deformation
rates along the active normal fault system in the southern Apennines:
implications for fault growth, J. Struct. Geol., 29, 166–188, 2007.
Pondrelli, S. and Salimbeni, S.: Regional Moment Tensor Review: An Example
from the European–Mediterranean Region, in: Encyclopedia of Earthquake
Engineering, 1–15 pp., Springer Berlin Heidelberg,
https://doi.org/10.1007/978-3-642-36197-5_301-1, 2015.
Pondrelli, S., Salimbeni, S., Ekström, G., Morelli, A., Gasperini, P.,
and Vannucci G.: The Italian CMT dataset from 1977 to the present, Phys.
Earth Planet. Int., 159, 286–303,
https://doi.org/10.1016/j.pepi.2006.07.008, 2006.
Pondrelli, S., Visini, F., Rovida, A., D'Amico, V., Pace, B., and Meletti, C.: Style of faulting of expected earthquakes in Italy as an input for seismic hazard modeling, Nat. Hazards Earth Syst. Sci., 20, 3577–3592, https://doi.org/10.5194/nhess-20-3577-2020, 2020.
Rovida, A., Locati, M., Camassi, R., Lolli, B., and Gasperini, P.: CPTI15,
the 2015 version of the Parametric Catalogue of Italian Earthquakes,
Istituto Nazionale di Geofisica e Vulcanologia, https://doi.org/10.6092/INGV.IT-CPTI15, 2016.
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.
Saul, J., Becker, J., and Hanka, W.: Global moment tensor computation at GFZ
Potsdam, AGU 2011 Fall Meeting, San Francisco, USA, abstract ID. S51A-2202, https://ui.adsabs.harvard.edu/abs/2011AGUFM.S51A2202S (last access: 25 August 2022), 2011.
Slejko, D., Peruzza, L., and Rebez, A.: The seismic hazard maps of Italy, Ann.
Geophys., 41, 183–214, 1998.
Solarino, S. and Cassinis, R.: Seismicity of the upper lithosphere and its
relationships with the crust in the Italian region,
B. Geofis. Teor. Appl., 48, 99–115, 2007.
SSHAC (Senior Seismic Hazard Analysis Committee): Recommendations for
probabilistic seismic hazard analysis: guidance on uncertainties and use of
experts, Report NUREG- CR- 6372, U.S. Nuclear Regulatory Commission,
Washington D.C., https://www.nrc.gov/docs/ML0800/ML080090003.pdf (last access: 25 August 2022), 1997.
Stucchi, M., Albini, P., Mirto, C., and Rebez, A.: Assessing the
completeness of Italian historical earthquake data, Ann. Geophys., 47,
659–674, 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,
2011.
Sue, C., Delacou, B., Champagnac, J. D., Allanic, C., Tricart, P., and Burkhard, M.: Extensional neotectonics
around the bend of the Western/Central Alps: an overview, Int. J. Earth Sci., 96, 1101–1129, https://doi.org/10.1007/s00531-007-0181-3,
2007.
Tesson, J., Pace, B., Benedetti, L., Visini, F., Delli Rocioli, M., Arnold,
M., Aumaître, G., Bourlès, D. L., and Keddadouche, K.: Seismic slip
history of the Pizzalto fault (central Apennines, Italy) using in
situ-produced 36Cl cosmic ray exposure dating and rare earth element
concentrations, J. Geoph. Res.-Sol. Ea., 121, 1983–2003,
https://doi.org/10.1002/2015jb012565, 2016.
Valentini, A., Visini, F., and Pace, B.: Integrating faults and past earthquakes into a probabilistic seismic hazard model for peninsular Italy, Nat. Hazards Earth Syst. Sci., 17, 2017–2039, https://doi.org/10.5194/nhess-17-2017-2017, 2017.
Vannucci, G. and Gasperini, P.: The new release of the database of
Earthquake Mechanisms of the Mediterranean Area (EMMA Version 2), Ann.
Geophys., 47, 307–334, 2004.
Vilanova, S. P., Nemser, E. S., Besana-Ostman, G. M., Bezzeghoud, M.,
Borges, J. F., Brum da Silveira, A., Cabral, J., Carvalho, J., Cunha, P. P.,
Dias, R. P., Madeira, J., Lopes, F. C., and Oliveira, C.: Incorporating
Descriptive Metadata into Seismic Source Zone Models for Seismic-Hazard
Assessment: A Case Study of the Azores-West Iberian Region, B. Seismol. Soc. Am., 104, 1212–1229, https://doi.org/10.1785/0120130210, 2014.
Visini, F.: Seismic crustal deformation in Southern Apennines of Italy,
Ital. J. Geosci., 131, 187–204, https://doi.org/10.3301/IJG.2011.31,
2012.
Visini, F., De Nardis, R., and Lavecchia, G.: Rates of active compressional
deformation in central Italy and Sicily: evaluation of the seismic budget,
Int. J. Earth Sci., 99, 243–264, https://doi.org/10.1007/s00531-009-0473-x, 2010.
Visini, F., Pace, B., Meletti, C., Marzocchi, W., Akinci, A., Azzaro, R., Barani, S., Barberi, G., Barreca, G., Basili, R., Bird, P., Bonini, M., Burrato, P., Busetti, M., Carafa, M. M. C., Cocina, O., Console, R., Corti, G., D’Agostino, N., D’Amico, S., D’Amico, V., Dal Cin M., Falcone, G., Fracassi, U., Gee, R., Kastelic, V., Lai, C. G., Langer, H., Maesano, F. E., Marchesini, A., Martelli, L., Monaco, C., Murru, M., Peruzza, L., Poli, M. E., Pondrelli, S., Rebez, A., Rotondi, R., Rovida, A., Sani, F., Santulin, M., Scafidi, D., Selva, J., Slejko, D., Spallarossa, D., Tamaro, A., Tarabusi, G., Taroni, M., Tiberti, M. M., Tusa, G., Tuvè, T., Valensise, G., Vannoli, P., Varini, E., Zanferrari, A., and Zuccolo, E.: Earthquake Rupture
Forecasts for the MPS19 Seismic Hazard Model of Italy, Ann.
Geophys., 64, SE220, https://doi.org/10.4401/ag-8608, 2021.
Weichert, D. H.: Estimation of the earthquake recurrence parameters for
unequal observation periods for different magnitudes, B. Seismol. Soc. Am., 70, 1337–1346, 1980.
Wells, D. L. and Coppersmith, K. J.: New empirical relationships among
magnitude, rupture length, rupture width, rupture area, and surface
displacement, B. Seismol. Soc. Am., 84,
974–1002, 1994.
Wheeler, R. L.: Methods of Mmax Estimation East of the Rocky Mountains, U.S.
Geological Survey, Open-File Report 2009–1018, 44 pp., https://doi.org/10.3133/ofr20091018, 2009.
Wiemer, S., García-Fernández, M., and Burg, J. P.: Development of a
seismic source model for probabilistic seismic hazard assessment of nuclear
power plant sites in Switzerland: The view from PEGASOS Expert Group 4
(EG1d), Swiss J. Geosci., 102, 189–209, https://doi.org/10.1007/s00015-009-1311-7,
2009.
Woessner, J., Laurentiu, D., Giardini, D., Crowley, H., Cotton, F., Grünthal, G., Valensise, G., Arvidsson, R., Basili, R., Demircioglu, M. B., Hiemer, S., Meletti, C., Musson, R. W., Rovida, A. N., Sesetyan, K., Stucchi, M., and the SHARE Consortium: 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
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.
As new data are collected, seismic hazard models can be updated and improved. In the framework...
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