Articles | Volume 16, issue 8
https://doi.org/10.5194/nhess-16-1859-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/nhess-16-1859-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Aug 2016
Research article |
| 12 Aug 2016
Geosphere coupling and hydrothermal anomalies before the 2009 Mw 6.3 L'Aquila earthquake in Italy
Lixin Wu
CORRESPONDING AUTHOR
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China
Northeast University, Shenyang, China
Shuo Zheng
School of Resources and Environmental Engineering, Anhui University, Hefei, China
Angelo De Santis
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma 2, Rome, Italy
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China
Rosa Di Mauro
Dipartimento di Ingegneria e Geologia, Chieti University, V. Vestini 31, 66013 Chieti Scalo, Italy
Shanjun Liu
Northeast University, Shenyang, China
Mario Luigi Rainone
Dipartimento di Ingegneria e Geologia, Chieti University, V. Vestini 31, 66013 Chieti Scalo, Italy
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Angelo De Santis, Gianfranco Cianchini, Rita Di Giovambattista, Cristoforo Abbattista, Lucilla Alfonsi, Leonardo Amoruso, Marianna Carbone, Claudio Cesaroni, Giorgiana De Franceschi, Anna De Santis, Alessandro Ippolito, Dedalo Marchetti, Luca Martino, Francisco Javier Pavòn-Carrasco, Loredana Perrone, Alessandro Piscini, Mario Luigi Rainone, Luca Spogli, and Francesca Santoro
Solid Earth Discuss., https://doi.org/10.5194/se-2017-120, https://doi.org/10.5194/se-2017-120, 2018
Revised manuscript not accepted
Short summary
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Geosystemics studies the Earth system as a whole, focusing on the possible coupling among the Earth layers, and using universal entropic tools. In this paper, earthquakes are considered as a long term chain of processes involving the coupling of the solid earth with the above neutral and ionized atmosphere, and finally culminating with the main rupture along the fault of concern. Some case studies are presented.
K. L. Chan and K. Qin
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J. Gou, W. Zhou, and L. Wu
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Z. Xu, T. H. Wu, Y. Shen, and L. Wu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B5, 985–988, https://doi.org/10.5194/isprs-archives-XLI-B5-985-2016, https://doi.org/10.5194/isprs-archives-XLI-B5-985-2016, 2016
Saioa A. Campuzano, Angelo De Santis, Francisco Javier Pavón-Carrasco, María Luisa Osete, and Enkelejda Qamili
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2016-56, https://doi.org/10.5194/nhess-2016-56, 2016
Revised manuscript not accepted
L. M. He, L. X. Wu, S. J. Liu, and S. N. Liu
Ann. Geophys., 33, 1361–1368, https://doi.org/10.5194/angeo-33-1361-2015, https://doi.org/10.5194/angeo-33-1361-2015, 2015
L. M. He, L. X. Wu, A. De Santis, S. J. Liu, and Y. Yang
Ann. Geophys., 32, 187–196, https://doi.org/10.5194/angeo-32-187-2014, https://doi.org/10.5194/angeo-32-187-2014, 2014
A. De Santis, E. Qamili, and L. Wu
Nat. Hazards Earth Syst. Sci., 13, 3395–3403, https://doi.org/10.5194/nhess-13-3395-2013, https://doi.org/10.5194/nhess-13-3395-2013, 2013
K. Qin, L. X. Wu, X. Y. Ouyang, X. H. Shen, and S. Zheng
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhessd-1-2439-2013, https://doi.org/10.5194/nhessd-1-2439-2013, 2013
Revised manuscript has not been submitted
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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.
Vera D’Amico, Francesco Visini, Andrea Rovida, Warner Marzocchi, and Carlo Meletti
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-203, https://doi.org/10.5194/nhess-2023-203, 2023
Revised manuscript accepted for NHESS
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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. Actually, applications of PSHA often require sampling 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.
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.
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.
Graeme Weatherill, Sreeram Reddy Kotha, Laurentiu Danciu, Susana Vilanova, and Fabrice Cotton
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-124, https://doi.org/10.5194/nhess-2023-124, 2023
Revised manuscript accepted for NHESS
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The ground motion models (GMMs) selected for the 2020 European Seismic Hazard Model (ESHM20), and their uncertainties require adaptation to different tectonic environments. Using insights from new data, local experts and developments in the scientific literature, we further calibrate the ESHM20 GMM logic tree to capture previously unmodelled regional variation. We also propose a new scaled backbone logic tree for application to Europe’s subduction zones and the Vrancea deep seismic source.
Davide Scafidi, Alfio Viganò, Jacopo Boaga, Valeria Cascone, Simone Barani, Daniele Spallarossa, Gabriele Ferretti, Mauro Carli, and Giancarlo De Marchi
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-143, https://doi.org/10.5194/nhess-2023-143, 2023
Revised manuscript accepted for NHESS
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Our manuscript concerns the use of a dense network of low-cost seismic accelerometers in populated areas to achieve rapid and reliable estimation of exposure maps in Trentino (NE Italy). These additional data, in conjunction with the automatic monitoring procedure, allow us to obtain dense measurements which only rely on actual recorded data, avoiding the use of ground motion prediction equations. This leads to a more reliable picture of the actual ground shaking.
Asim M. Khawaja, Behnam Maleki Asayesh, Sebastian Hainzl, and Danijel Schorlemmer
Nat. Hazards Earth Syst. Sci., 23, 2683–2696, https://doi.org/10.5194/nhess-23-2683-2023, https://doi.org/10.5194/nhess-23-2683-2023, 2023
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Testing of earthquake forecasts is important for model verification. Forecasts are usually spatially discretized with many equal-sized grid cells, but often few earthquakes are available for evaluation, leading to meaningless tests. Here, we propose solutions to improve the testability of earthquake forecasts and give a minimum ratio between the number of earthquakes and spatial cells for significant tests. We show applications of the proposed technique for synthetic and real case studies.
Athanasios N. Papadopoulos, Philippe Roth, Laurentiu Danciu, Paolo Bergamo, Francesco Panzera, Donat Fäh, Carlo Cauzzi, Blaise Duvernay, Alireza Khodaverdian, Pierino Lestuzzi, Ömer Odabaşi, Ettore Fagà, Paolo Bazzurro, Michèle Marti, Nadja Valenzuela, Irina Dallo, Nicolas Schmid, Philip Kästli, Florian Haslinger, and Stefan Wiemer
EGUsphere, https://doi.org/10.5194/egusphere-2023-1504, https://doi.org/10.5194/egusphere-2023-1504, 2023
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The Earthquake Risk Model of Switzerland (ERM-CH23), released in early 2023, is the culmination of a multidisciplinary effort aiming to achieve, for the first time, a comprehensive assessment of the potential consequences of earthquakes on the Swiss building stock and population. ERM-CH23 provides risk estimates for various impact metrics, ranging from economic loss as a result of damage to buildings and their contents, to human losses, such as deaths, injuries and displaced population.
Karina Loviknes, Fabrice Cotton, and Graeme Weatherill
EGUsphere, https://doi.org/10.5194/egusphere-2023-1370, https://doi.org/10.5194/egusphere-2023-1370, 2023
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Earthquake ground shaking can be strongly affected by local geology and is often amplified by soft sediments. In this study, we introduce a global geomorphological model for sediment thickness as a protentional parameter for predicting this site amplification. The results show that including geology and geomorphology in site-amplification predictions adds important value and that global or regional models for sediment thickness from fields beyond engineering seismology are worth considering.
Qing Wu, Guijuan Lai, Jian Wu, and Jinmeng Bi
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-30, https://doi.org/10.5194/nhess-2023-30, 2023
Revised manuscript accepted for NHESS
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Aftershocks are typically ignored for traditional probabilistic seismic hazard analyses, which underestimates 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-R-J model to systematically study how aftershocks impact seismic hazard analyses The influence of aftershocks on probabilistic seismic hazard analysis can exceed 50 %.
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.
Khelly Shan Sta. Rita, Sotirios Valkaniotis, and Alfredo Mahar Francisco Lagmay
EGUsphere, https://doi.org/10.5194/egusphere-2023-978, https://doi.org/10.5194/egusphere-2023-978, 2023
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The ground movement and rupture produced by the 2020 Masbate earthquake in the Philippines was studied using satellite data. We highlighted the importance of the complementary use of optical and radar datasets. The slip measurements and field observations were used to improve our understanding of the seismotectonics of the region, which is critical for seismic hazard studies.
José A. Álvarez-Gómez, Paula Herrero-Barbero, and José J. Martínez-Díaz
Nat. Hazards Earth Syst. Sci., 23, 2031–2052, https://doi.org/10.5194/nhess-23-2031-2023, https://doi.org/10.5194/nhess-23-2031-2023, 2023
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The strike-slip Carboneras fault is one of the largest sources in the Alboran Sea, with it being one of the faster faults in the eastern Betics. The dimensions and location of the Carboneras fault imply a high seismic and tsunami threat. In this work, we present tsunami simulations from sources generated with physics-based earthquake simulators. We show that the Carboneras fault has the capacity to generate locally damaging tsunamis with inter-event times between 2000 and 6000 years.
Antonio Posadas, Denisse Pasten, Eugenio E. Vogel, and Gonzalo Saravia
Nat. Hazards Earth Syst. Sci., 23, 1911–1920, https://doi.org/10.5194/nhess-23-1911-2023, https://doi.org/10.5194/nhess-23-1911-2023, 2023
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In this paper we understand an earthquake from a thermodynamics point of view as an irreversible transition; then it must suppose an increase in entropy. We use > 100 000 earthquakes in northern Chile to test the theory that Shannon entropy, H, is an indicator of the equilibrium state. Using variation in H, we were able to detect major earthquakes and their foreshocks and aftershocks, including the 2007 Mw 7.8 Tocopilla earthquake and 2014 Mw 8.1 Iquique earthquake.
Dirsa Feliciano, Orlando Arroyo, Tamara Cabrera, Diana Contreras, Jairo Andrés Valcárcel Torres, and Juan Camilo Gómez Zapata
Nat. Hazards Earth Syst. Sci., 23, 1863–1890, https://doi.org/10.5194/nhess-23-1863-2023, https://doi.org/10.5194/nhess-23-1863-2023, 2023
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This article presents the number of damaged buildings and estimates the economic losses from a set of earthquakes in Sabana Centro, a region of 11 towns in Colombia.
Andrea Antonucci, Andrea Rovida, Vera D'Amico, and Dario Albarello
Nat. Hazards Earth Syst. Sci., 23, 1805–1816, https://doi.org/10.5194/nhess-23-1805-2023, https://doi.org/10.5194/nhess-23-1805-2023, 2023
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The earthquake effects undocumented at 228 Italian localities were calculated through a probabilistic approach starting from the values obtained through the use of an intensity prediction equation, taking into account the intensity data documented at close localities for a given earthquake. The results showed some geographical dependencies and correlations with the intensity levels investigated.
Yi-Ying Wen, Chien-Chih Chen, Strong Wen, and Wei-Tsen Lu
Nat. Hazards Earth Syst. Sci., 23, 1835–1846, https://doi.org/10.5194/nhess-23-1835-2023, https://doi.org/10.5194/nhess-23-1835-2023, 2023
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Knowing the spatiotemporal seismicity patterns prior to impending large earthquakes might help earthquake hazard assessment. Several recent moderate earthquakes occurred in the various regions of Taiwan, which help to further investigate the spatiotemporal seismic pattern related to the regional tectonic stress. We should pay attention when a seismicity decrease of 2.5 < M < 4.5 events around the southern Central Range or an accelerating seismicity of 3 < M < 5 events appears in central Taiwan.
Luca Schilirò, Mauro Rossi, Federica Polpetta, Federica Fiorucci, Carolina Fortunato, and Paola Reichenbach
Nat. Hazards Earth Syst. Sci., 23, 1789–1804, https://doi.org/10.5194/nhess-23-1789-2023, https://doi.org/10.5194/nhess-23-1789-2023, 2023
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We present a database of the main scientific articles published on earthquake-triggered landslides in the last 4 decades. To enhance data viewing, the articles were catalogued into a web-based GIS, which was specifically designed to show different types of information, such as bibliometric information, the relevant topic and sub-topic category (or categories), and earthquake(s) addressed. Such information can be useful to obtain a general overview of the topic, especially for a broad readership.
Simone Barani, Gabriele Ferretti, and Davide Scafidi
Nat. Hazards Earth Syst. Sci., 23, 1685–1698, https://doi.org/10.5194/nhess-23-1685-2023, https://doi.org/10.5194/nhess-23-1685-2023, 2023
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In the present study, we analyze ground-motion hazard maps and hazard disaggregation in order to define areas in Italy where liquefaction triggering due to seismic activity can not be excluded. The final result is a screening map for all of Italy that classifies sites in terms of liquefaction triggering potential according to their seismic hazard level. The map and the associated data are freely accessible at the following web address: www.distav.unige.it/rsni/milq.php.
Midhat Fayaz, Shakil A. Romshoo, Irfan Rashid, and Rakesh Chandra
Nat. Hazards Earth Syst. Sci., 23, 1593–1611, https://doi.org/10.5194/nhess-23-1593-2023, https://doi.org/10.5194/nhess-23-1593-2023, 2023
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Earthquakes cause immense loss of lives and damage to properties, particularly in major urban centres. The city of Srinagar, which houses around 1.5 million people, is susceptible to high seismic hazards due to its peculiar geological setting, urban setting, demographic profile, and tectonic setting. Keeping in view all of these factors, the present study investigates the earthquake vulnerability of buildings in Srinagar, an urban city in the northwestern Himalayas, India.
Mathilde B. Sørensen, Torbjørn Haga, and Atle Nesje
Nat. Hazards Earth Syst. Sci., 23, 1577–1592, https://doi.org/10.5194/nhess-23-1577-2023, https://doi.org/10.5194/nhess-23-1577-2023, 2023
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Most Norwegian landslides are triggered by rain or snowmelt, and earthquakes have not been considered a relevant trigger mechanism even though some cases have been reported. Here we systematically search historical documents and databases and find 22 landslides induced by eight large Norwegian earthquakes. The Norwegian earthquakes induce landslides at distances and over areas that are much larger than those found for global datasets.
Chiara Varone, Gianluca Carbone, Anna Baris, Maria Chiara Caciolli, Stefania Fabozzi, Carolina Fortunato, Iolanda Gaudiosi, Silvia Giallini, Marco Mancini, Luca Paolella, Maurizio Simionato, Pietro Sirianni, Rose Line Spacagna, Francesco Stigliano, Daniel Tentori, Luca Martelli, Giuseppe Modoni, and Massimiliano Moscatelli
Nat. Hazards Earth Syst. Sci., 23, 1371–1382, https://doi.org/10.5194/nhess-23-1371-2023, https://doi.org/10.5194/nhess-23-1371-2023, 2023
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In 2012, Italy was struck by a seismic crisis characterized by two main shocks and relevant liquefaction events. Terre del Reno is one of the municipalities that experienced the most extensive liquefaction effects; thus it was chosen as case study for a project devoted to defining a new methodology to assess the liquefaction susceptibility. In this framework, about 1800 geotechnical, geophysical, and hydrogeological investigations were collected and stored in the publicly available PERL dataset.
Samuel Roeslin, Quincy Ma, Pavan Chigullapally, Joerg Wicker, and Liam Wotherspoon
Nat. Hazards Earth Syst. Sci., 23, 1207–1226, https://doi.org/10.5194/nhess-23-1207-2023, https://doi.org/10.5194/nhess-23-1207-2023, 2023
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This paper presents a new framework for the rapid seismic loss prediction for residential buildings in Christchurch, New Zealand. The initial model was trained on insurance claims from the Canterbury earthquake sequence. Data science techniques, geospatial tools, and machine learning were used to develop the prediction model, which also delivered useful insights. The model can rapidly be updated with data from new earthquakes. It can then be applied to predict building loss in Christchurch.
Sasan Motaghed, Mozhgan Khazaee, Nasrollah Eftekhari, and Mohammad Mohammadi
Nat. Hazards Earth Syst. Sci., 23, 1117–1124, https://doi.org/10.5194/nhess-23-1117-2023, https://doi.org/10.5194/nhess-23-1117-2023, 2023
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We modify the probabilistic seismic hazard analysis (PSHA) formulation by replacing the Gutenberg–Richter power law with the SCP (Sotolongo-Costa and Posadas) non-extensive model for earthquake size distribution and call it NEPSHA. The proposed method (NEPSHA) is implemented in the Tehran region, and the results are compared with the classic PSHA method. The hazard curves show that NEPSHA gives a higher hazard, especially in the range of practical return periods.
Paola Sbarra, Pierfrancesco Burrato, Valerio De Rubeis, Patrizia Tosi, Gianluca Valensise, Roberto Vallone, and Paola Vannoli
Nat. Hazards Earth Syst. Sci., 23, 1007–1028, https://doi.org/10.5194/nhess-23-1007-2023, https://doi.org/10.5194/nhess-23-1007-2023, 2023
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Earthquakes are fundamental for understanding how the earth works and for assessing seismic risk. We can easily measure the magnitude and depth of today's earthquakes, but can we also do it for pre-instrumental ones? We did it by analyzing the decay of earthquake effects (on buildings, people, and objects) with epicentral distance. Our results may help derive data that would be impossible to obtain otherwise, for any country where the earthquake history extends for centuries, such as Italy.
Haekal A. Haridhi, Bor Shouh Huang, Kuo Liang Wen, Arif Mirza, Syamsul Rizal, Syahrul Purnawan, Ilham Fajri, Frauke Klingelhoefer, Char Shine Liu, Chao Shing Lee, Crispen R. Wilson, Tso-Ren Wu, Ichsan Setiawan, and Van Bang Phung
Nat. Hazards Earth Syst. Sci., 23, 507–523, https://doi.org/10.5194/nhess-23-507-2023, https://doi.org/10.5194/nhess-23-507-2023, 2023
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Near the northern end of Sumatra, the horizontal movement Sumatran fault zone extended to its northern offshore. The movement of offshore fault segments trigger submarine landslides and induce tsunamis. Scenarios of a significant tsunami caused by the combined effect of an earthquake and its triggered submarine landslide at the coast were proposed in this study. Based on our finding, the landslide tsunami hazard assessment and early warning systems in this region should be urgently considered.
Lixin Wu, Yuan Qi, Wenfei Mao, Jingchen Lu, Yifan Ding, Boqi Peng, and Busheng Xie
Nat. Hazards Earth Syst. Sci., 23, 231–249, https://doi.org/10.5194/nhess-23-231-2023, https://doi.org/10.5194/nhess-23-231-2023, 2023
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Multiple seismic anomalies were reported to be related to the 2015 Nepal earthquake. By sufficiently investigating both the space–time features and the physical models of the seismic anomalies, the coupling mechanisms of these anomalies in 3D space were revealed and an integrated framework to strictly root the sources of various anomalies was proposed. This study provides a practical solution for scrutinizing reliable seismic anomalies from diversified earthquake observations.
David Montiel-López, Sergio Molina, Juan José Galiana-Merino, and Igor Gómez
Nat. Hazards Earth Syst. Sci., 23, 91–106, https://doi.org/10.5194/nhess-23-91-2023, https://doi.org/10.5194/nhess-23-91-2023, 2023
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One of the most effective ways to describe the seismicity of a region is to map the b-value parameter of the Gutenberg-Richter law. This research proposes the study of the spatial cell-event distance distribution to define the smoothing kernel that controls the influence of the data. The results of this methodology depict tectonic stress changes before and after intense earthquakes happen, so it could enable operational earthquake forecasting (OEF) and tectonic source profiling.
Pierre Henry, M. Sinan Özeren, Nurettin Yakupoğlu, Ziyadin Çakir, Emmanuel de Saint-Léger, Olivier Desprez de Gésincourt, Anders Tengberg, Cristele Chevalier, Christos Papoutsellis, Nazmi Postacıoğlu, Uğur Dogan, Hayrullah Karabulut, Gülsen Uçarkuş, and M. Namık Çağatay
Nat. Hazards Earth Syst. Sci., 22, 3939–3956, https://doi.org/10.5194/nhess-22-3939-2022, https://doi.org/10.5194/nhess-22-3939-2022, 2022
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Seafloor instruments at the bottom of the Sea of Marmara recorded disturbances caused by earthquakes, addressing the minimum magnitude that may be recorded in the sediment. A magnitude 4.7 earthquake caused turbidity but little current. A magnitude 5.8 earthquake caused a mudflow and strong currents that spread sediment on the seafloor over several kilometers. However, most known earthquake deposits in the Sea of Marmara spread over larger zones and should correspond to larger earthquakes.
Nicola Alessandro Pino
Nat. Hazards Earth Syst. Sci., 22, 3787–3792, https://doi.org/10.5194/nhess-22-3787-2022, https://doi.org/10.5194/nhess-22-3787-2022, 2022
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The 1908 Messina Straits earthquake is one of the most severe seismic catastrophes in human history and is periodically back in the public discussion because of a project of building a bridge across the Straits. Some models proposed for the fault assume precursory subsidence preceding the quake, resulting in a structure significantly different from the previously debated ones and important hazard implications. The analysis of the historical sea level data allows the rejection of this hypothesis.
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.
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.
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.
Cited articles
Akhoondzadeh, M., Parrot, M., and Saradjian, M. R.: Electron and ion density variations before strong earthquakes (M > 6.0) using DEMETER and GPS data, Nat. Hazards Earth Syst. Sci., 10, 7–18, https://doi.org/10.5194/nhess-10-7-2010, 2010.
Benoit, M. H., Torpey, M., Liszewski, K., Levin, V., and Park, J.: P and S wave upper mantle seismic velocity structure beneath the northern Apennines: New evidence for the end of subduction, Geochem. Geophy. Geosy., 12, 1–19, https://doi.org/10.1029/2010GC003428, 2011.
Bonfanti, P., Genzano, N., Heinicke, J., Italiano, F., Martinelli, G., Pergola, N., Telesca, L., and Tramutoli, V.: Evidence of CO2-gas emission variations in the central Apennines (Italy) during the L'Aquila seismic sequence (March–April 2009), Boll. Geof. Teor. Appl., 53, 147–168, https://doi.org/10.4430/bgta0043, 2012.
Chai, W., Wang, G. X., Li, Y. S., and Hu, H. C.: Response of soil moisture under different vegetation coverage to precipitation in the headwaters of the Yangtze river, J. Glaciol. Geocryol., 30, 329–337, 2008.
Che, H., Xia, X., Zhu, J., Li, Z., Dubovik, O., Holben, B., Goloub, P., Chen, H., Estelles, V., Cuevas-Agulló, E., Blarel, L., Wang, H., Zhao, H., Zhang, X., Wang, Y., Sun, J., Tao, R., Zhang, X., and Shi, G.: Column aerosol optical properties and aerosol radiative forcing during a serious haze-fog month over North China Plain in 2013 based on ground-based sunphotometer measurements, Atmos. Chem. Phys., 14, 2125–2138, https://doi.org/10.5194/acp-14-2125-2014, 2014.
Chiarabba, C., Bagh, S., Bianchi, I., De Gori, P., and Barchi, M.: Deep structural heterogeneities and the tectonic evolution of the Abruzzi region (Central Apennines, Italy) revealed by microseismicity, seismic tomography, and teleseismic receiver functions, Earth Planet. Sc. Lett., 295, 462–476, https://doi.org/10.1016/j.epsl.2010.04.028, 2010.
Chiodini, G., Frondini, F., Cardellini, C., Parello, F., and Peruzzi, L.: Rate of diffuse carbon dioxide Earth degassing estimated from carbon balance of regional aquifers: The case of central Apennine, Italy, J. Geophys. Res., 105, 8423–8434, https://doi.org/10.1029/1999JB900355, 2000.
Chiodini, G., Cardellini, C., Amato, A., Boschi, E., Caliro, S., Frondini, F., and Ventura, G.: Carbon dioxide Earth degassing and seismogenesis in central and southern Italy, Geophys. Res. Lett., 31, L07615, https://doi.org/10.1029/2004GL019480, 2004.
Chiodini, G., Caliro, S., Cardellini, C., Frondini, F., Inguaggiato, S., and Matteucci, F.: Geochemical evidence for and characterization of CO2 rich gas sources in the epicentral area of the Abruzzo 2009 earthquakes, Earth Planet. Sc. Lett., 304, 389–398, https://doi.org/10.1016/j.epsl.2011.02.016, 2011.
Cianchini, G., De Santis, A., Barraclough, D. R., Wu, L. X., and Qin, K.: Magnetic transfer function entropy and the 2009 Mw = 6.3 L'Aquila earthquake (Central Italy), Nonlin. Processes Geophys., 19, 401–409, https://doi.org/10.5194/npg-19-401-2012, 2012.
Cicerone, R. D., Ebel, J. E., and Britton, J.: A systematic compilation of earthquake precursors, Tectonophysics, 476, 371–396, https://doi.org/10.1016/j.tecto.2009.06.008, 2009.
Crutzen, P. J.: Photochemical reactions initiated by and influencing ozone in unpolluted tropospheric air, Tellus, 26, 47–57, https://doi.org/10.1111/j.2153-3490.1974.tb01951.x, 1974.
Dentener, F., Kinne, S., Bond, T., Boucher, O., Cofala, J., Generoso, S., Ginoux, P., Gong, S., Hoelzemann, J. J., Ito, A., Marelli, L., Penner, J. E., Putaud, J.-P., Textor, C., Schulz, M., van der Werf, G. R., and Wilson, J.: Emissions of primary aerosol and precursor gases in the years 2000 and 1750 prescribed data-sets for AeroCom, Atmos. Chem. Phys., 6, 4321–4344, https://doi.org/10.5194/acp-6-4321-2006, 2006.
De Santis, A., Cianchini, R., Favali, P., Beranzoli, L., and Boschi, E.: The Gutenberg–Richter Law and Entropy of Earthquakes: Two Case Studies in Central Italy, B. Seismol. Soc. Am., 101, 1386–1395, https://doi.org/10.1785/0120090390, 2011.
Dey, S. and Singh, R. P.: Surface latent heat flux as an earthquake precursor, Nat. Hazards Earth Syst. Sci., 3, 749–755, https://doi.org/10.5194/nhess-3-749-2003, 2003.
Di Luccio, F., Ventura, G., Di Giovambattista, R., Piscini, A., and Cinti, F. R.: Normal faults and thrusts reactivated by deep fluids: The 6 April 2009 Mw 6.3 L'Aquila earthquake, central Italy, J. Geophys. Res., 115, B06315, https://doi.org/10.1029/2009JB007190, 2010.
Di Luzio, E., Mele, G., Tiberti, M. M., Cavinato, G. P., and Parotto, M.: Moho deepening and shallow upper crustal delamination beneath the central Apennines, Earth Planet. Sc. Lett., 280, 1–12, https://doi.org/10.1016/j.epsl.2008.09.018, 2009.
Doglioni, C.: Geological remarks on the relationships between extension and 562 convergent geodynamic settings, Tectonophysics, 252, 253–268, https://doi.org/10.1016/0040-1951(95)00087-9, 1995.
Eftaxias, K., Balasis, G., Contoyiannis, Y., Papadimitriou, C., Kalimeri, M., Athanasopoulou, L., Nikolopoulos, S., Kopanas, J., Antonopoulos, G., and Nomicos, C.: Unfolding the procedure of characterizing recorded ultra low frequency, kHZ and MHz electromagnetic anomalies prior to the L'Aquila earthquake as pre-seismic ones – Part 2, Nat. Hazards Earth Syst. Sci., 10, 275–294, https://doi.org/10.5194/nhess-10-275-2010, 2010.
Freund, F.: Pre-earthquake signals: Underlying physical processes, J. Asian Earth Sci., 41, 383–400, https://doi.org/10.1016/j.jseaes.2010.03.009, 2011.
Frezzotti, M. L., Peccerillo, A., and Panza, G.: Carbonate metasomatism and CO2 lithosphere–asthenosphere degassing beneath the Western Mediterranean: an integrated model arising from petrological and geophysical data, Chem. Geol., 262, 108–120, https://doi.org/10.1016/j.chemgeo.2009.02.015, 2009.
Galadini, F. and Galli, P.: Active Tectonics in the Central Apennines (Italy) – Input Data for Seismic Hazard Assessment, Nat. Hazards, 22, 225–268, https://doi.org/10.1023/A:1008149531980, 2000.
Geng, N. G., Yu, P., Deng, M. D., Cui, C. Y., and Luo, Z. L.: The simulated experimental studies on cause of thermal infrared precursor of earthquake, Earthquake, 18, 83–88, 1998.
Genzano, N., Aliano, C., Corrado, R., Filizzola, C., Lisi, M., Mazzeo, G., Paciello, R., Pergola, N., and Tramutoli, V.: RST analysis of MSG-SEVIRI TIR radiances at the time of the Abruzzo 6 April 009 earthquake, Nat. Hazards Earth Syst. Sci., 9, 2073–2084, https://doi.org/10.5194/nhess-9-2073-2009, 2009.
Gregori, G. P., Poscolieri, M., Paparo, G., De Simone, S., Rafanelli, C., and Ventrice, G.: “Storms of crustal stress” and AE earthquake precursors, Nat. Hazards Earth Syst. Sci., 10, 319–337, https://doi.org/10.5194/nhess-10-319-2010, 2010.
Gulia, L. and Wiemer, S.: The influence of tectonic regimes on the earthquake size distribution: A case study for Italy, Geophys. Res. Lett., 37, L10305, https://doi.org/10.1029/2010GL043066, 2010.
Gutenberg, B. and Richter, C. F.: Frequency of earthquake in California, B. Seismol. Soc. Am., 34, 185–188, 1994.
Hubbert, K. M. and Rubey, W. W.: Role of Fluid pressure in mechanics of overthrust faulting, Geol. Soc. Am. Bull., 70, 115–166, https://doi.org/10.1130/0016-7606(1959)70[115:ROFPIM]2.0.CO;2, 1959.
Janson, R., Rosman, K., Karlsson, A., and Hansson, C.: Biogenic emissions and gaseous precursors to forest aerosols, Tellus B, 53, 423–440, https://doi.org/10.1034/j.1600-0889.2001.530408.x, 2001.
Jing, F., Shen, X. H., Kang, C. L., Pan, X., and Sun, K.: Variation of outgoing longwave radiation around the time of New Zealand earthquake M7.1, 2010, Adv. Earth Sci., 27, 979–986, 2012.
Jordan, T. H., Chen, Y. T., Gasparini, P., Madariaga, R., Main, I., Marzocchi, W., Papadopoulos, G., Sobolev, G., Yamaoka, K., and Zschau, J.: Operational Earthquake Forecasting: State of knowledge and guidelines for utilization, Ann. Geophys., 54, 315–391, https://doi.org/10.4401/ag-5350, 2011.
Kagan, Y.: Universality of the seismic moment-frequency relation, PAGEOP, 155, 537–574, https://doi.org/10.1007/s000240050277, 1999.
Liperovsky, V. A., Meister, C.-V., Liperovskaya, E. V., and Bogdanov, V. V.: On the generation of electric field and infrared radiation in aerosol clouds due to radon emanation in the atmosphere before earthquakes, Nat. Hazards Earth Syst. Sci., 8, 1199–1205, https://doi.org/10.5194/nhess-8-1199-2008, 2008a.
Liperovsky, V. A., Pokhotelov, O. A., Meister, C. V., and Liperovskaya, E. V.: Physical models of coupling in the lithosphere–atmosphere–ionosphere system before earthquakes, Geomag. Aeron., 48, 795–806, https://doi.org/10.1134/S0016793208060133, 2008b.
Lisi, M., Filizzola, C., Genzano, N., Grimaldi, C. S. L., Lacava, T., Marchese, F., Mazzeo, G., Pergola, N., and Tramutoli, V.: A study on the Abruzzo 6 April 2009 earthquake by applying the RST approach to 15 years of AVHRR TIR observations, Nat. Hazards Earth Syst. Sci., 10, 395–406, https://doi.org/10.5194/nhess-10-395-2010, 2010.
Lucente, F. P., De Gori, P., Margheriti, L., Piccinini, D., Di Bona, M., Chiarabba, C., and Agostinetti, N. P.: Temporal variation of seismic velocity and anisotropy before the 2009 Mw 6.3 L'Aquila earthquake, Italy, Geology, 38, 1015–1018, https://doi.org/10.1130/G31463.1, 2010.
Millikin, C. S. and Bledsoe, C. S.: Biomass and distribution of fine and coarse roots from blue oak (Quercus douglasii) trees in the northern Sierra Nevada foothills of California, Plant. Soil, 214, 27–81, https://doi.org/10.1023/A:1004653932675, 1999.
Minissale, A.: Origin, transport and discharge of CO2 in central Italy, Earth Sci. Rev., 66, 89–141, https://doi.org/10.1016/j.earscirev.2003.09.001, 2004.
Mogi, K.: Magnitude-Frequency relation for elastic shocks accompanying fractures of various materials and some related problems in earthquakes, B. Earthq. Res. Inst., 40, 831–853, 1962.
Montone, P., Mariucci, M. T., Pondrelli, S., and Amato, A.: An improved stress map for Italy and surrounding regions (central Mediterranean), J. Geophys. Res., 109, B10410, https://doi.org/10.1029/2003JB002703, 2004.
Montone, P., Mariucci, M. T., and Pondrelli, S.: The Italian present-day stress map, Geophys. J. Int., 189, 705–716, https://doi.org/10.1111/j.1365-246X.2012.05391.x, 2012.
Ouzounov, D., Liu, D. F., Kang, C. L., Cervone, G., Kafatos, M., and Taylor, P.: Outgoing longwave radiation variability from IR satellite data prior to major earthquakes, Tectonophysics, 431, 211–220, https://doi.org/10.1016/j.tecto.2006.05.042, 2007.
Papadopoulos, G. A., Charalampakis, M., Fokaefs, A., and Minadakis, G.: Strong foreshock signal preceding the L'Aquila (Italy) earthquake (Mw 6.3) of 6 April 2009, Nat. Hazards Earth Syst. Sci., 10, 19–24, https://doi.org/10.5194/nhess-10-19-2010, 2010.
Patacca, E., Scandone, P., Di Luzio, E., Cavinato, G. P., and Parotto, M.: Structural architecture of the central Apennines: Interpretation of the CROP 11 seismic profile from the Adriatic coast to the orographic divide, Tectonics, 27, 620–628, https://doi.org/10.1029/2005TC001917, 2008.
Pergola, N., Aliano, C., Coviello, I., Filizzola, C., Genzano, N., Lacava, T., Lisi, M., Mazzeo, G., and Tramutoli, V.: Using RST approach and EOS-MODIS radiances for monitoring seismically active regions: a study on the 6 April 2009 Abruzzo earthquake, Nat. Hazards Earth Syst. Sci., 10, 239–249, https://doi.org/10.5194/nhess-10-239-2010, 2010.
Piroddi, L. and Ranieri, G.: Night thermal gradient: a new potential tool for earthquake precursors studies. an application to the seismic area of L'Aquila (central Italy), IEEE J. Stars, 5, 307–312, https://doi.org/10.1109/JSTARS.2011.2177962, 2012.
Piroddi, L., Ranieri, G., Freund, F., and Trogu, A.: Geology, tectonics and topography underlined by L'Aquila earthquake TIR precursors, Geophys. J. Int., 197, 1532–1536, https://doi.org/10.1093/gji/ggu123, 2014.
Plastino, W., Povinec, P. P., Luca, G. D., Doglioni, C., Nisi, S., Ioannucci, L., Balata, M., Laubenstein, M., Bella, F., and Coccia, E.: Uranium groundwater anomalies and L'Aquila earthquake, 6th April 2009 (Italy), J. Environ. Radioactiv., 101, 45–50, https://doi.org/10.1016/j.jenvrad.2009.08.009, 2010.
Pulinets, S. A.: The synergy of earthquake precursors, Earthquake Sci., 24, 535–548, https://doi.org/10.1007/s11589-011-0815-1, 2011.
Pulinets, S. A.: Low-latitude atmosphere-ionosphere effects initiated by strong earthquakes preparation process, Int. J. Geophys., 14, 1–14, https://doi.org/10.1155/2012/131842, 2012.
Pulinets, S. A. and Ozounov, D.: Lithosphere-Atmosphere-Ionosphere Coupling (LAIC) model – an unified concept for earthquake precursors validation, J. Asian Earth Sci., 41, 371–382, https://doi.org/10.1016/j.jseaes.2010.03.005, 2011.
Pulinets, S. A., Ozounov, D., Ciraolo, L., Singh, R., Cervone, G., Leyva, A., Dunajecka, M., Karelin, A. V., Boyarchunk, K. A., and Kotsarenko, A.: Thermal, atmospheric and ionospheric anomalies around the time of the Colima M7.8 earthquake of 21 January 2003, Ann. Geophys., 24, 835–849, https://doi.org/10.5194/angeo-24-835-2006, 2006.
Pulinets, S. A., Ozounov, D., Giuliani, G., Ciraolo, L., and Taylor, P.: Atmosphere awakening prior to Abruzzo, Italy, M6.3 Earthquake of April 6, 2009 revealed by joined satellite and ground observations, Geophys. Res. Abstr., 12, EGU2010-12869, 2010.
Pulinets, S. A., Ouzounov, D., Karelin, A., and Davidenko, D.: Physical bases of the generation of short-term earthquake precursors: a complex model of ionization-induced geophysical processes in the Lithosphere-Atmosphere-Ionosphere-Magnetosphere system, Geomag. Aeron., 55, 540–558, https://doi.org/10.1134/S0016793215040131, 2015.
Qin, K., Wu, L. X., De Santis, A., and Cianchini, G.: Preliminary analysis of surface temperature anomalies that preceded the two major Emilia 2012 earthquakes (Italy), Ann. Geophys., 55, 823–828, https://doi.org/10.4401/ag-6123, 2012a.
Qin, K., Wu, L. X., De Santis, A., Meng, J., Ma, W. Y., and Cianchini, G.: Quasi-synchronous multi-parameter anomalies associated with the 2010–2011 New Zealand earthquake sequence, Nat. Hazards Earth Syst. Sci., 12, 1059–1072, https://doi.org/10.5194/nhess-12-1059-2012, 2012b.
Qin, K., Wu, L., Zheng, S., and Liu, S.: A Deviation-Time-Space-Thermal (DTS-T) Method for Global Earth Observation System of Systems (GEOSS)-Based Earthquake Anomaly Recognition: Criterions and Quantify Indices, Remote Sens., 5, 5143–5151, https://doi.org/10.3390/rs5105143, 2013.
Qin, K., Wu, L., Ouyuang, X. Y., Shen, X. H., and Zheng, S.: Surface latent heat flux anomalies quasi-synchronous with ionospheric disturbances before the 2007 Pu'er earthquake in China, Adv. Space Res., 53, 266–271, https://doi.org/10.1016/j.asr.2013.11.004, 2014a.
Qin, K., Wu, L., Zheng, S., Bai, Y., and Lv, X.: Is there an abnormal enhancement of atmospheric aerosol before the 2008 Wenchuan earthquake?, Adv. Space Res., 54, 1029–1034, https://doi.org/10.1016/j.asr.2014.04.025, 2014b.
Quattrocchi, F., Galli, G., Gasparini, A., Magno, L., Pizzino, L., Sciarra, A., and Voltattorni, N.: Very slightly anomalous leakage of CO2, CH4 and radon along the main activated faults of the strong L'Aquila earthquake (Magnitude 6.3, Italy). Implications for risk assessment monitoring tools & public acceptance of CO2 and CH4 underground storage, Energy Procedia, 4, 4067–4075, https://doi.org/10.1016/j.egypro.2011.02.349, 2011.
Rickard, A. R., Wyche, K. P., Metzger, A., Monks, P. S., Ellis, A. M., Dommen, J., Baltensperger, U., Jenkin, M. E., and Pilling, M. J.: Gas phase precursors to anthropogenic secondary organic aerosol:Using the Master Chemical Mechanism to probe detailed observations of 1,3,5-trimethylbenzene photo-oxidation, Atmos. Environ., 44, 5423–5433, https://doi.org/10.1016/j.atmosenv.2009.09.043, 2010.
Rozhnoi, A., Solovieva, M., Molchanov, O., Schwingenschuh, K., Boudjada, M., Biagi, P. F., Maggipinto, T., Castellana, L., Ermini, A., and Hayakawa, M.: Anomalies in VLF radio signals prior the Abruzzo earthquake (M = 6.3) on 6 April 2009, Nat. Hazards Earth Syst. Sci., 9, 1727–1732, https://doi.org/10.5194/nhess-9-1727-2009, 2009.
Saraf, A. K. and Choudhury, S.: Satellite detects surface thermal anomalies associated with the Algerian earthquakes of May 2003, Int. J. Remote Sens., 26, 2705–2713, https://doi.org/10.1080/01431160310001642359, 2004.
Schorlemmer, D. and Wiemer, S.: Earthquake statistics at Parkfield: 1. Stationarity of b values, J. Geophys. Res., 109, 159–163, https://doi.org/10.1029/2004JB003234, 2004.
Schorlemmer, D. and Wiemer, S.: Earth science: Microseismicity data forecast rupture area, Nature, 434, 1086, https://doi.org/10.1038/4341086a, 2005.
Schorlemmer, D., Wiemer, S., and Wyss, M.: Variations in earthquake-size distribution across different stress regimes, Nature, 437, 539–542, https://doi.org/10.1038/nature04094, 2005.
Terakawa, T., Zoporowski, A., Galvan, B., and Miller, S. A.: High-pressure fluid at hypocentral depths in the L'Aquila region inferred from earthquake focal mechanisms, Geology, 38, 995–998, https://doi.org/10.1130/G31457.1, 2010.
Tormann, T., Wiemer, S., and Mignan, A.: Systematic survey of high-resolution b value imaging along Californian faults: Inference on asperities, J. Geophys. Res.-Solid Ea., 119, 2029–2054, https://doi.org/10.1002/2014JB011269, 2014.
Tormann, T., Enescu, B., Woessner, J., and Wiemer, S.: Randomness of megathrust earthquakes implied by rapid stress recovery after the Japan earthquake, Nat. Geosci., 8, 152–158, https://doi.org/10.1038/ngeo2343, 2015.
Tozer, R. S. J., Butler, R. W. H., and Corrado, S.: Comparing thin- and thick-skinned thrust tectonic models of the Central Apennines, Italy, EGU Stephan Mueller Spec. Publ. Ser., 1, 181–194, https://doi.org/10.5194/smsps-1-181-2002, 2002.
Tronin, A. A., Hayakawa, M., and Molchanov, O. A.: Thermal IR satellite data application for earthquake research in Japan and China, J. Geodyn., 33, 519–534, https://doi.org/10.1016/S0264-3707(02)00013-3, 2002.
Tsolis, G. S. and Xenos, T. D.: A qualitative study of the seismo-ionospheric precursors prior to the 6 April 2009 earthquake in L'Aquila, Italy, Nat. Hazards Earth Syst. Sci., 10, 133–137, https://doi.org/10.5194/nhess-10-133-2010, 2010.
Urbancic, T. I., Trifu, C. I., Long, J. M., and Young, R. P.: Space-time correlations of b values with stress release, PAGEOP, 139, 449–462, https://doi.org/10.1007/BF00879946, 1992.
USGS: http://earthquake.usgs.gov/earthquakes/eqinthenews/2009/us2009fcaf#summary, last access: 7 April 2009.
Voltattorni, N., Quattrocchi, F., Gasparini, A., and Sciarra, A.: Soil gas degassing during the 2009 L'Aquila earthquake: study of the seismotectonic and fluid geochemistry relation, Ital. J. Geosci. (Boll. Soc. Geol. It.), 131, 440–447, https://doi.org/10.3301/IJG.2012.19, 2012.
Warren, N. W. and Latham, G. V.: An experimental study of thermally induced microfracturing and its relation to volcanic seismicity, J. Geophys. Res., 75, 4455–4464, https://doi.org/10.1029/JB075i023p04455, 1970.
Wiemer, S.: A software package to analyze seismicity: ZMAP, Seismol. Res. Lett., 72, 373–382, https://doi.org/10.1785/gssrl.72.3.373, 2001.
Wiemer, S. and Wyss, M.: Mapping spatial variability of the frequency-magnitude distribution of earthquakes, Adv. Geophys., 45, 259–302, https://doi.org/10.1016/S0065-2687(02)80007-3, 2002.
Wu, L. X., Liu, S. J., Xu, X. H., Wu, Y. H., and Li, Y. Q.: Remote sensing-rock mechanics (III) – laws of thermal infrared radiation and acoustic emission from friction sliding intersected faults and its meanings for tectonic earthquake omens, Chin. J. Rock Mech. Eng., 23, 401–407, 2004 (in Chinese).
Wu, L. X., Liu, S. J., Wu, Y. H., and Wang, C. Y.: Precursors for rock fracturing and failure – Part I: IRR image abnormalities, Int. J. Rock Mech. Min. Sci., 43, 473–482, https://doi.org/10.1016/j.ijrmms.2005.09.002, 2006.
Wu, L. X., Qin, K., and Liu, S. J.: GEOSS-Based Thermal Parameters Analysis for Earthquake Anomaly Recognition, Proc. IEEE, 100, 2891–2907, https://doi.org/10.1109/JPROC.2012.2184789, 2012.
Wyss, M. and Wiemer, S.: Change in the Probability for Earthquakes in Southern California Due to the Landers Magnitude 7.3 Earthquake, Science, 290, 1334–1338, https://doi.org/10.1126/science.290.5495.1334, 2000.
Zheng, S., Wu, L. X., and Qin, K.: Multiple parameters anomalies for verifying the geosystem spheres coupling effect: a case study of the 2010 Ms 7.1 Yushu earthquake in China, Ann. Geophys., 57, S0434, https://doi.org/10.4401/ag-6508, 2014.
Short summary
Many anomalies before the 2009 L'Aquila earthquake were reported but not synergically analyzed referring to geosystem coupling. We investigated changes of multiple hydrothermal parameters in coversphere and atmosphere and studied 3-D evolution of b value in lithosphere. Quasi-synchronism of pre-earthquake anomalies georelating to particular thrusts and local topography are revealed. A geosphere coupling mode is proposed interpreting the function of CO2-rich crust fluids on local LCA coupling.
Many anomalies before the 2009 L'Aquila earthquake were reported but not synergically analyzed...
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