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The IDA Very Long Period and Very Broadband Networks Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Peter Davis, Jon Berger, Robert Mellors, Carl Ebeling, Daniel Auerbach
This article describes the rich global digital seismic data set that has been collected from 1975 to the present using a variety of instruments and progressively updated equipment and communication systems. The original IDA very long period (VLP) network operated from 1975 to 1995. The successor IRIS/IDA very broadband network began in 1986 and continues to the present. Collection of these data has
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Early Source Characterization of Large Earthquakes Using W Phase and Prompt Elastogravity Signals Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Kévin Juhel, Zacharie Duputel, Luis Rivera, Martin Vallée
In the minutes following a large earthquake, robust characterization of the seismic rupture can be obtained from full wavefield records at local distances or from early signals recorded by regional broadband seismometers. We focus here on the latter configuration, and evaluate the individual and joint performances of the early low‐frequency elastic phases (W phase) and the recently discovered prompt
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The Global DAS Month of February 2023 Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Andreas Wuestefeld, Zack J. Spica, Kasey Aderhold, Hsin‐Hua Huang, Kuo‐Fong Ma, Voon Hui Lai, Meghan Miller, Lena Urmantseva, Daniel Zapf, Daniel C. Bowden, Pascal Edme, Tjeerd Kiers, Antonio P. Rinaldi, Katinka Tuinstra, Camille Jestin, Sergio Diaz‐Meza, Philippe Jousset, Christopher Wollin, Arantza Ugalde, Sandra Ruiz Barajas, Beatriz Gaite, Gilda Currenti, Michele Prestifilippo, Eiichiro Araki,
During February 2023, a total of 32 individual distributed acoustic sensing (DAS) systems acted jointly as a global seismic monitoring network. The aim of this Global DAS Month campaign was to coordinate a diverse network of organizations, instruments, and file formats to gain knowledge and move toward the next generation of earthquake monitoring networks. During this campaign, 156 earthquakes of magnitude
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San Andreas Fault Earthquake Hazard Model Validation Using Probabilistic Analysis of Precariously Balanced Rocks and Bayesian Updating Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Anna H. Rood, Peter J. Stafford, Dylan H. Rood
The Mojave section of the San Andreas fault is the closest section to the megacity of greater Los Angeles. A major issue for the population is that the life‐threatening hazard estimate of a future rare, large earthquake on this fault section is highly uncertain and untested at timescales and ground motions beyond limited historical recordings. Of relevance to this issue is that the nearby precariously
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Unsupervised Deep Feature Learning for Icequake Discrimination at Neumayer Station, Antarctica Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Louisa Kinzel, Tanja Fromm, Vera Schlindwein, Peter Maass
Unsupervised machine learning methods are gaining attention in the seismological community as more and larger datasets of continuous waveforms are collected. Recently, contrastive learning for unsupervised feature learning has shown great success in the field of computer vision and other domains, and we aim to transfer these methods to the domain of seismology. Contrastive learning algorithms use data
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Characterizing the Background Noise Level of Rotational Ground Motions on Earth Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Andreas Brotzer, Heiner Igel, Eléonore Stutzmann, Jean‐Paul Montagner, Felix Bernauer, Joachim Wassermann, Rudolf Widmer‐Schnidrig, Chin‐Jen Lin, Sergey Kiselev, Frank Vernon, Karl Ulrich Schreiber
The development of high‐sensitive ground‐motion instrumentation for Earth and planetary exploration is governed by so‐called low‐noise models, which characterize the minimum level of physical ground motions, observed across a very broad frequency range (0.1 mHz–100 Hz). For decades, broadband instruments for seismic translational ground‐motion sensing allowed for observations down to the Earth’s low‐noise
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Complex Seismotectonic Characteristics in the Midland Basin of Texas: Constrained by Seismicity and Earthquake Source Mechanisms Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Guo‐chin Dino Huang, Yangkang Chen, Alexandros Savvaidis
Earthquake activities in areas across the Midland basin and the Central Basin Platform of West Texas have significantly increased since mid‐2019 because of continuing industrial activities involving wastewater injection. The induced seismicity has allowed us to discover previously unknown seismogenic structures. This article presents a study focusing on seismotectonic characteristics of the Midland
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Hydrology Drives Crustal Deformation and Modulates Seismicity in the Matese Massif (Italy) Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Francesco Pintori, Federica Sparacino, Federica Riguzzi
We analyze the interplay between hydrology, deformation, and seismicity in the Matese massif, located in the Italian Southern Apennines. We find that this area is characterized by the concurrent action of two hydrologically driven processes: the first is the deformation detected by the Global Navigation Satellite Systems (GNSS) data in the shallowest part (above the elevation of the major springs)
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Crustal Velocity Structure of the Sichuan–Yunnan Block Revealed by High‐Quality Crustal Phase Travel Time Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Liya Hu, Fengxue Zhang, Yu Li
The Sichuan–Yunnan block is located at the southeastern margin of the Tibetan Plateau, which is the key area as a transition belt from the active plate extrusion zone to the stable Yangtze Craton. Using a semiautomatic measuring method based on a graphical interface, we pick 81,585 precise travel times from 449 local earthquake records and finally obtain a crustal 3D P‐wave velocity model of the Sichuan–Yunnan
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Low‐Frequency Blast Detection Using a Large‐N Dark Fiber in Noisy Environments: Template Matching and Optimal Channel Selection Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Michal Chamarczuk, Jonathan B. Ajo‐Franklin, Avinash Nayak, Veronica Rodriguez Tribaldos
Distributed acoustic sensing (DAS), deployed on dark telecom fiber, is well‐positioned to play a significant role in seismic monitoring networks because of the combination of a large aperture, fine spatial resolution, broadband sensitivity, and the ubiquitous presence of unused telecommunication fibers in many areas of the world. In this study, we explore the feasibility of dark‐fiber array deployed
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Toward a Metadata Standard for Distributed Acoustic Sensing (DAS) Data Collection Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Voon Hui Lai, Kathleen M. Hodgkinson, Robert W. Porritt, Robert Mellors
With increasing geophysical applications using distributed acoustic sensing (DAS) technology, there is a need to implement a metadata standard specifically for DAS to facilitate the integration of DAS measurements across experiments and increase reusability. We propose a metadata standard intended primarily for the DAS research community, which fully describes the five key components of a DAS experiment:
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SSA Future Directions for Physics‐Based Ground‐Motion Modeling Meeting Report Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Becky Ham
Future Directions for Physics‐Based Ground‐Motion Modeling, the second topical conference convened by the Seismological Society of America, was held in Vancouver, Canada, on 10–13 October 2023. The meeting was cosponsored by the Seismological Society of Japan and cochaired by Annemarie Baltay of the U.S. Geological Survey and Hiroshi Kawase of Kyoto University.The idea for the meeting first took shape
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Summary of the Discussions During the 2023 SSA Topical Meeting on “Future Directions for Physics‐Based Ground Motion Modeling” Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Hiroshi Kawase, Annemarie Baltay
The Seismological Society of America (SSA) topical conference, Future Directions for Physics‐Based Ground Motion Modeling, was held in Vancouver, Canada, on 10–13 October 2023, co‐sponsored by the Seismological Society of Japan and co‐chaired by Annemarie Baltay of the U.S. Geological Survey and Hiroshi Kawase of Kyoto University. This meeting brought together many researchers and practitioners interested
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Is the Era of Broadband Seismometry Coming to an End? Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Horst Rademacher
It was more than fifty years ago, that seismologists in what was then Czechoslovakia deployed the first experimental broadband feedback seismometers in seismic stations in Poland and in Czechoslovakia (Plešinger and Horalek, 1976). Based on their experience Erhard Wielandt and his student Gunar Streckeisen at the Eidgenössische Technische Hochschule in Zürich, Switzerland, developed the first commercial
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Preface to Focus Section on New Frontiers and Advances in Global Seismology Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Robert E. Anthony, Nicolas Leroy, Robert Mellors, Adam T. Ringler, Joachim Saul, Martin Vallée, David C. Wilson
Over the last century, many of the fundamental advances in our understanding of the solid Earth have been underpinned by seismic observations recorded on long‐running networks of globally distributed seismic instruments (e.g., Agnew et al., 1976; Romanowicz et al., 1984; Hanka and Kind, 1994; Peterson and Hutt, 2014; Ringler et al., 2022a). During this time, seismic data quality and the speed of dissemination
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Inconsistent Citation of the Global Seismographic Network in Scientific Publications Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Molly Staats, Kasey Aderhold, Katrin Hafner, Colleen Dalton, Megan Flanagan, Harriet Lau, Frederik J. Simons, Martin Vallée, S. Shawn Wei, William Yeck, Andy Frassetto, Robert Busby
The highly used Global Seismographic Network (GSN) is a pillar of the seismological research community and contributes to numerous groundbreaking publications. Despite its wide recognition, this survey found that the GSN is not consistently acknowledged in scientific literature and is underrepresented by roughly a factor of 3 in citation searches. Publication tracking is a key metric that factors into
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GEOSCOPE Network: 40 Yr of Global Broadband Seismic Data Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Nicolas Leroy, Martin Vallée, Dimitri Zigone, Barbara Romanowicz, Eléonore Stutzmann, Alessia Maggi, Constanza Pardo, Jean‐Paul Montagner, Maxime Bes de Berc, Céleste Broucke, Sébastien Bonaimé, Geneviève Roult, Jean‐Yves Thoré, Armelle Bernard, Michel Le Cocq, Olivier Sirol, Luis Rivera, Jean‐Jacques Lévêque, Michel Cara, Frédérick Pesqueira
The GEOSCOPE observatory (Institut de physique du globe de Paris [IPGP] and École et Observatoire des Sciences de la Terre de Strasbourg, 1982) provides more than four decades of high‐quality continuous broadband data to the scientific community. Started in 1982 with only two stations, the network has grown over the years thanks to numerous international partnerships. At present, 34 stations operate
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A New Posthole Seismometer at Concordia Permanent Research Facility in the Heart of the Icy East Antarctic Plateau Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Maxime Bès de Berc, Dimitri Zigone, Peter Danecek, Alain Steyer, Francesco Zanolin, Alessia Maggi, Jean‐Yves Thoré, Armelle Bernard, Hervé Blumentritt, Sophie Lambotte, Jean‐Jacques Lévêque, Luis Rivera, Olivier Alemany, Philippe Possenti, Martin Vallée, Eléonore Stutzmann, Adriano Cavaliere, Nathalie Cotte, Stefano Marino, Baptiste Gombert, Wenceslas Marie‐Sainte, Nicolas Leroy, Constanza Pardo, Frédérick
In the Southern Hemisphere, the prevalence of oceans and the difficulty of access to land result in reduced coverage of seismological stations, limiting our detailed knowledge of Earth’s structures and of large earthquakes sources. This situation is exacerbated inside the antarctic continent, where only two permanent seismic stations are currently available (IU.QSPA at South Pole and G.CCD). The CCD
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Learning the Deep and the Shallow: Deep‐Learning‐Based Depth Phase Picking and Earthquake Depth Estimation Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Jannes Münchmeyer, Joachim Saul, Frederik Tilmann
Automated teleseismic earthquake monitoring is an essential part of global seismicity analysis. Although constraining epicenters in an automated fashion is an established technique, constraining event depths is substantially more difficult. One solution to this challenge is teleseismic depth phases, but these can currently not be identified precisely by automatic detection methods. Here, we propose
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Slip Model of the 2022 Mw 6.6 Luding Earthquake from Inversion of GNSS and InSAR with Sentinel‐1 Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Rong Zou, Junxiang Wang, Xinyu Zhao, Zhiwei Fang, Kejie Chen, Rongxin Fang, Qi Wang
We use surface deformation measurements, including Interferometric Synthetic Aperture Radar data acquired by the Sentinel‐1A satellites and Global Navigation Satellite System observations, to invert the fault geometry and coseismic slip distribution of the 2022 Mw 6.6 earthquake in Sichuan, China. The dip of the best‐fitting model is 68°. The rupture of the 2022 Luding earthquake is dominated by northwest
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On the Use of Instrumental and Macroseismic Data to Evaluate Ground‐Motion Models: The 2019 Mw 6.4 Durres, Albania, Earthquake Sequence Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Edlira Xhafaj, Kuo‐Fong Ma, Chung‐Han Chan, Jia‐Cian Gao
In this study, we analyze the existing ground‐motion models (GMMs) applicable in Albania for horizontal peak ground acceleration (PGA) and spectral acceleration (SA) using instrumental ground motions, and also incorporate online citizen responses from “Did you feel it?” (DYFI) to compensate for the sparse distribution of strong‐motion stations and provide better constraints for near‐fault motions.
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Practical Aspects of Physics‐Informed Neural Networks Applied to Solve Frequency‐Domain Acoustic Wave Forward Problem Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Xintao Chai, Zhiyuan Gu, Hang Long, Shaoyong Liu, Wenjun Cao, Xiaodong Sun
Physics‐informed neural networks (PINNs) have been used by researchers to solve partial differential equation (PDE)‐constrained problems. We evaluate PINNs to solve for frequency‐domain acoustic wavefields. PINNs can solely use PDEs to define the loss function for optimization without the need for labels. Partial derivatives of PDEs are calculated by mesh‐free automatic differentiations. Thus, PINNs
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Impact of Lossy Compression Errors on Passive Seismic Data Analyses Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Abdul Hafiz S. Issah, Eileen R. Martin
New technologies such as low‐cost nodes and distributed acoustic sensing (DAS) are making it easier to continuously collect broadband, high‐density seismic monitoring data. To reduce the time to move data from the field to computing centers, reduce archival requirements, and speed up interactive data analysis and visualization, we are motivated to investigate the use of lossy compression on passive
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Seismic Station Monitoring Using Deviation from the Gaussianity Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Arthur Cuvier, Éric Beucler, Mickaël Bonnin, Raphaël F. Garcia
Degradation of the seismic signal quality sometimes occurs at permanent and temporary stations. Although the most likely cause is a high level of humidity, leading to corrosion of the connectors, environmental changes can also alter recording conditions in different frequency ranges and not necessarily for all three components in the same way. Assuming that the continuous seismic signal can be described
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Statistical Features of Seismicity Associated with Large Earthquakes on the Chinese Continent between 2008 and 2019 Based on Newly Detected Catalogs Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Lu Li, Baoshan Wang, Zhigang Peng, Jinxin Hou, Fang Wang
The Chinese continent is seismically active and is an important region for analyzing statistical behaviors of large intraplate earthquake sequences. A systematic and detailed record of large earthquake sequences provides the basis for such analysis in a tectonically complex region. In this study, using a graphic processing units‐accelerated matched filter technique, we detected up to five times more
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Ensemble Region‐Specific GMMs for Subduction Earthquakes Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Farhad Sedaghati, Shahram Pezeshk
This study develops data‐driven global and region‐specific ground‐motion models (GMMs) for subduction earthquakes using a weighted average ensemble model to combine four different nonparametric supervised machine‐learning (ML) algorithms, including an artificial neural network, a kernel ridge regressor, a random forest regressor, and a support vector regressor. To achieve this goal, we train individual
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Exploiting the Potential of Urban DAS Grids: Ambient‐Noise Subsurface Imaging Using Joint Rayleigh and Love Waves Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Qing Ji, Bin Luo, Biondo Biondi
Distributed acoustic sensing (DAS) data become important for seismic monitoring of subsurface structures in urban areas. Different from the previous studies that only focused on Rayleigh waves, we report successful observation and analysis of both Rayleigh and Love waves extracted from ambient‐noise interferometry, using orthogonal segments of fiber‐optic cables in San Jose, California. Theoretical
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Unsupervised Machine Learning Clustering of Seismic and Infrasound Data Quality Metrics Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Juliann R. Coffey, Alex J. C. Witsil, Kenneth A. Macpherson, David Fee
Developing techniques for improving quality control (QC) schemes to catch seismic and infrasound data defects continues to be an area of active research. Selecting universal thresholds for the automation of data quality (DQ) checks is an efficient way to find QC issues, but these thresholds may not apply well to multiple stations with varying DQ characteristics. In addition, these thresholds may not
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Bridging Supervised and Unsupervised Learning to Build Volcano Seismicity Classifiers at Kilauea Volcano, Hawaii Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Xin Cui, Yanlan Hu, Shang Ma, Zefeng Li, Guoming Liu, Hui Huang
Real‐time classification of volcano seismicity could become a useful component in volcanic monitoring. Supervised learning provides a powerful means to achieve this but often requires a large amount of manually labeled data. Here, we build supervised learning models to discriminate volcano tectonic events (VTs), long‐period events (LPs), and hybrid events in Kilauea by training with pseudolabels from
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Reevaluating Earthquake Fatalities in the Taiwan Region: Toward More Accurate Assessments Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Yang Shi, Yilong Li, Zhenguo Zhang
Earthquakes occurring in the Taiwan region have the potential to cause significant damage and loss of life. To ensure an effective emergence response and mitigate the impact of seismic events, it is imperative to develop an earthquake fatality prediction model that incorporates the Taiwan region’s seismic background, geological context, and socioeconomic level. This research article analyzes 35 historically
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SigRecover: Recovering Signal from Noise in Distributed Acoustic Sensing Data Processing Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-05-01 Yangkang Chen
Because of the harsh deployment environment of the fibers, distributed acoustic sensing (DAS) data usually suffer from the low signal‐to‐noise ratio issue. Many methods, whether simple but efficient or sophisticated but effective, have been proposed for dealing with noise and recovering signals from DAS data. However, no matter what methods we apply, we will inevitably damage the signals, more or less
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Broadband Source Model of the 2023 Mw 7.8 Türkiye Earthquake from Strong‐Motion Records by Isochrone Backprojection and Empirical Green’s Function Method Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Toshimi Satoh
The 2023 Mw 7.8 Türkiye earthquake caused severe damage in near‐fault regions. The broadband source model, which is important for predicting strong motions in near‐fault regions, was estimated. First, high‐frequency (3–10 Hz) source imaging was performed through isochrone backprojection using near‐field strong‐motion records. Four segments were set, consisting of three segments along the East Anatolian
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Fault Coalescence, Slip Distribution, and Stress Drop of the February 2023 Southeast Türkiye Earthquakes from Joint Inversion of SAR, GNSS, and Burst Overlap Interferometry Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Yohai Magen, Gidon Baer, Alon Ziv, Asaf Inbal, Ran N. Nof, Yariv Hamiel, Oksana Piatibratova, Gökhan Gürbüz
Two devastating earthquakes struck southeastern Türkiye and northwestern Syria on 6 February 2023: an Mw 7.8 mainshock, followed 9 hr later by an Mw 7.6 aftershock. To recover and separate the subsurface geometry and slip distributions along the two earthquake faults, we jointly invert Interferometric Synthetic Aperture Radar, Synthetic Aperture Radar pixel offset tracking, burst overlap interferometry
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Structural Heterogeneity Controlled Rupture Process of the 2021 Mw 7.1 Fukushima, Japan, Earthquake Revealed by Joint Inversion of Seismic and Geodetic Data Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Yuyang Tan, Ning Gu, Huilin Xing, Yong Zhang, Zongwei Jin, Sibo Hua, Jianchao Wang, Mutian Qin, Shuo Pang, Sanzhong Li
We determined the rupture model of the 2021 Mw 7.1 Fukushima earthquake near northeastern Japan in this study and adopted this model to investigate the cause of this earthquake and its aftershocks. The rupture model was obtained through joint inversion of teleseismic, strong‐motion and geodetic data. It is shown that the slips were predominantly distributed on the southwest side of the earthquake epicenter
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Interseismic Coupling–Based Stochastic Slip Modeling of the 1920 Ms 8.5 Haiyuan Earthquake Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Yanchuan Li, Xinjian Shan, Zhiyu Gao, Chunyan Qu
The 1920 Ms 8.5 Haiyuan earthquake was the largest rupture in China in the twentieth century; however, the coseismic slip characteristics that provide insight into fault kinematics and future seismic hazards are unknown. In this study, we employed stochastic slip modeling to explore plausible slip distributions for this earthquake, incorporating different geodetic fault coupling models as prior constraints
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Research Catalog of Inland Seismicity in the Southern Korean Peninsula from 2012 to 2021 Using Deep Learning Techniques Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Jongwon Han, Keun Joo Seo, Seongryong Kim, Dong‐Hoon Sheen, Donghun Lee, Ah‐Hyun Byun
A seismicity catalog spanning 2012–2021 is proposed for the inland and near‐coastal areas of the southern Korean Peninsula (SKP). Using deep learning (DL) techniques combined with conventional methods, we developed an integrated framework for compiling a comprehensive seismicity catalog. The proposed DL‐based framework allowed us to process, within a week, a large volume of data (spanning 10 yr) collected
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Earthquake Rupture Forecast Model Construction for the 2023 U.S. 50‐State National Seismic Hazard Model Update: Central and Eastern U.S. Fault‐Based Source Model Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Allison M. Shumway, Mark D. Petersen, Peter M. Powers, Gabriel Toro, Jason M. Altekruse, Julie A. Herrick, Kenneth S. Rukstales, Jessica A. Thompson Jobe, Alexandra E. Hatem, Demi L. Girot
As part of the U.S. Geological Survey’s 2023 50‐State National Seismic Hazard Model (NSHM), we make modest revisions and additions to the central and eastern U.S. (CEUS) fault‐based seismic source model that result in locally substantial hazard changes. The CEUS fault‐based source model was last updated as part of the 2014 NSHM and considered new information from the Seismic Source Characterization
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BPMF: A Backprojection and Matched‐Filtering Workflow for Automated Earthquake Detection and Location Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Eric Beaucé, William B. Frank, Léonard Seydoux, Piero Poli, Nathan Groebner, Robert D. van der Hilst, Michel Campillo
We introduce BPMF (backprojection and matched filtering)—a complete and fully automated workflow designed for earthquake detection and location, and distributed in a Python package. This workflow enables the creation of comprehensive earthquake catalogs with low magnitudes of completeness using no or little prior knowledge of the study region. BPMF uses the seismic wavefield backprojection method to
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Nearly Simultaneous Pairs and Triplets of Historical Destructive Earthquakes with Distant Epicenters in the Italian Apennines Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Paolo Galli
Historical seismic catalogs of Italy record several instances of pairs or triplets of large earthquakes (Mw>6.7) along the Apennine chain, occurring on the same date or within a short time frame (days or weeks). Some of these events have mesoseismic areas tens of kilometers apart and/or seismogenic structures located more than 1–3 times the fault length away. Although in the case of aligned and/or
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2023 In Recognition Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01
SSA would like to acknowledge the following individuals for their service as peer reviewers during 2023. As experts in our field, these volunteers provide valuable insight and constructive feedback to our authors. Thank you to each of you for your time and support of our journals. Your contributions are a critical element that ensures SSA continues to publish the highest quality research and helps
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Tectonic Duets: Self‐Similar Approach to Investigate Eastern Anatolian Fault’s Recent Seismicity, with Special Emphasis on the 6 February 2023 Earthquake Doublet Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Haritha Chandriyan, Paresh Nath Singha Roy
Earthquake clusters possess profound potential for discerning antecedent seismic cues. This study examines the self‐similarity of earthquakes to characterize recent seismic patterns in the prolonged quiescent Eastern Anatolian fault zone (EAFZ). We thoroughly investigate the correlation fractal dimension (Dc) formulated upon the scale‐invariant relative clustering in earthquake pattern identification
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Application of GK17 Ground‐Motion Model to Preliminary Processed Turkish Ground‐Motion Recordings Dataset and GK Model Adjustment to the Turkish Environment by Developing Partially Nonergodic Model Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Vladimir Graizer
The global ergodic GK17 (Graizer, 2018) ground‐motion model developed using the Next Generation Attenuation‐West2 database (Ancheta et al., 2014) for the active crustal regions (ACRs) was applied to the dataset of recordings from the two largest moment magnitude Mw 7.8 and 7.5 earthquakes in Türkiye (Buckreis et al., 2023a). The GK17 model demonstrates acceptable performance while mostly underpredicting
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Duration Characteristics of Strong Ground Motions Recorded during the 6 February 2023 M 7.8 Pazarcık, Kahramanmaraş, Türkiye, Earthquake Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Alaa Elsaid, Kemal Onder Cetin
The seismograms recorded at a total of 71 strong ground‐motion stations (SGMS) located within 100 km of the fault rupture were used to investigate the durational variability observed during the 6 February 2023 M 7.8 Pazarcık, Kahramanmaraş, Türkiye, earthquake. More specifically, significant duration (D) and equivalent number of uniform stress cycles (N) estimated using these accelerograms were compared
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Calibration of the Local Magnitude Scale (ML) for Eastern Cuba Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Eduardo R. Diez Zaldivar, Denis Sandron, Manuel Cutie Mustelier
Calibration of the local magnitude scale to match local tectonics is a key element in the development of research leading to seismic risk assessment and quantification of seismicity in active regions. In this study, we developed a local magnitude scale for the southeastern region of Cuba—the part of the island exposed to the greatest seismic hazard due to its proximity to the Oriente fault system.
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Earthquakes Parameters from Citizen Testimonies: A Retrospective Analysis of EMSC Database Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Gianfranco Vannucci, Paolo Gasperini, Laura Gulia, Barbara Lolli
We aim to compute macroseismic parameters (location and magnitude) using the BOXER code for the first time on the citizen testimonies, that is, individual intensity data points (IDPs) at the global scale collected and made available by the LastQuake system of the European–Mediterranean Seismological Centre (EMSC). IDPs available for different earthquakes are selected to eliminate those that are geographically
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The Difficult Balance among Scientific, Technical, and Political Issues in Seismic Hazard Assessment Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Dario Albarello, Roberto Paolucci
Scientific and technical communities are in charge for providing political authorities, based on sound information and authoritative considerations, plausible seismic hazard estimates to be translated into prescriptions and guidelines to be adopted by citizens and stakeholders. However, this ideal flow presents several problems, hampering the development of such a simple and rational pathway. As a
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Preface for the Focus Section on the 6 February 2023, Kahramanmaraş, Türkiye, Earthquakes Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Kemal Onder Cetin, Erol Kalkan, Aysegul Askan, Marco Bohnhoff, Semih Ergintav, Ali Özgün Konca, Tuncay Taymaz, Yeşim Çubuk Sabuncu, Zeynep Gulerce
The Pazarcik and Ekinozu earthquakes in Kahramanmaras, Türkiye, with moment magnitudes M7.8 and 7.6 (U.S. Geological Survey), occurred on 6 February 2023 in southeastern Türkiye, on the East Anatolian fault zone (EAFZ), at local times of 04:17 and 13:24, respectively. The moment tensor solution indicates that both events were characterized by purely left‐lateral strike‐slip movements. The fault rupture
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The 2023 Mw 7.8 and 7.6 Earthquake Doublet in Southeast Türkiye: Coseismic and Early Postseismic Deformation, Faulting Model, and Potential Seismic Hazard Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Lang Xu, Yosuke Aoki, Jiaqing Wang, Yan Cui, Qiang Chen, Yinghui Yang, Zhibo Yao
On 6 February 2023, Mw 7.8 and 7.6 earthquakes struck southeast Türkiye and northwest Syria. They are the largest earthquakes in Türkiye in over 80 yr, causing significant damage and fatalities. We used Advanced Land Observation Satellite‐2 and Sentinel‐1 Synthetic Aperture Radar images to obtain near‐field coseismic displacements by Differential Interferometric Synthetic Aperture Radar (DInSAR) and
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Coseismic Deformation of the 2023 Türkiye Earthquake Doublet from Sentinel‐1 InSAR and Implications for Earthquake Hazard Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Xiaopeng Tong, Yongzhe Wang, Shi Chen
The 6 February 2023 Türkiye earthquake doublet occurred on the east Anatolian fault system, which marks the tectonic boundary between the Arabia plate and the Anatolian microplate. This earthquake doublet consists of the Mw 7.8 Pazarcik earthquake along the east Anatolian fault and the Mw 7.6 Çardak earthquake along the Savrun–Çardak fault. Sentinel‐1 Interferometric Synthetic Aperture Radar (InSAR)
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The Role of Stress Transfer in Rupture Nucleation and Inhibition in the 2023 Kahramanmaraş, Türkiye, Sequence, and a One‐Year Earthquake Forecast Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Shinji Toda, Ross S. Stein
We probe the interaction of large earthquakes on the East Anatolian fault zone, site of four Mw ≥ 6.8 events since 2020. We find that the 2023 Mw 7.8 Pazarcık shock promoted the Mw 7.7 Elbistan earthquake 9 hr later, largely through unclamping of the epicentral patch of the future rupture. Epicentral unclamping is also documented in the 1987 Superstition Hills, 1997 Kagoshima, and 2019 Ridgecrest sequences
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New Baseline Correction Method for Near‐Fault Ground‐Motion Records Based on Continuous Wavelet Transform Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Hongwu Yang, Yingmin Li, Lei Hu, Weihao Pan, Shuyan Ji
On 6 February 2023, a magnitude 7.8 earthquake struck south‐central Türkiye. It was followed by many aftershocks, the largest of which was a magnitude 7.5 aftershock. This earthquake caused considerable loss of life and property. Numerous near‐fault ground‐motion records were collected during the 2023 Türkiye earthquake. Most existing baseline correction methods for near‐fault ground motions disregard
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Can Geometrical Barrier Explain the Mw 7.8 Earthquake in Southern Türkiye on February 2023? Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Amir Sagy, Doron Morad, Vladimir Lyakhovsky
Two large‐magnitude earthquakes hit southern Türkiye on February 2023. The first, Mw 7.8 strike‐slip earthquake generated a rupture of 300 km section along the ∼600 km long East Anatolian fault (EAF). Here, we present an analytical solution using perturbation theory for the static stress field near the EAF induced by the fault geometry and the tectonic loading before these earthquakes. By applying
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2023 Earthquake Doublet in Türkiye Reveals the Complexities of the East Anatolian Fault Zone: Insights from Aftershock Patterns and Moment Tensor Solutions Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Sezim Ezgi Güvercin
The East Anatolian Fault Zone (EAFZ) is a 700‐km‐long left‐lateral transform fault system along the boundary between the Anatolian and Arabian plates. In the interseismic period, the eastern segments of the EAFZ display relatively uniform seismic activity, whereas the western segments exhibit seismic gaps, localized clusters, and extensive diffuse zones. Hence, our understanding of the geometry and
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Geospatial Liquefaction Modeling of the 2023 Türkiye Earthquake Sequence by an Ensemble of Global, Continental, Regional, and Event‐Specific Models Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Adel Asadi, Christina Sanon, Elife Cakir, Weiwei Zhan, Hooman Shirzadi, Laurie Gaskins Baise, Kemal Onder Cetin, Babak Moaveni
A global geospatial liquefaction model (GGLM‐2017) was previously developed (Zhu et al., 2017) using logistic regression (LR) and is currently used by the U.S. Geological Survey as the preferred liquefaction model to map liquefaction probability immediately after the occurrence of earthquake events. This research proposes an ensemble modeling approach to improve the performance of the GGLM‐2017 for
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Unraveling the Preparatory Processes of the 2023 Mw 7.8–7.6 Kahramanmaraş Earthquake Doublet Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Fengling Yin, Changsheng Jiang
Within a span of 9 hr on 6 February 2023, two significant earthquakes, with magnitudes of Mw 7.8 and 7.6, struck the southeastern part of Türkiye and the northern region of Syria, resulting in significant casualties and widespread economic losses. The occurrence of such intense earthquakes in rapid succession on adjacent faults, especially within a highly complex intraplate region with a multifault
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Induced or Natural? Toward Rapid Expert Assessment, with Application to the Mw 5.2 Peace River Earthquake Sequence Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Rebecca O. Salvage, David W. Eaton, Carolyn M. Furlong, Jan Dettmer, Per K. Pedersen
Based on information available at the time, several questionnaire‐based schemes have been developed to provide a qualitative assessment of whether a specific earthquake (or earthquake sequence) was likely induced by anthropogenic activities or is inferred to be natural. From a pragmatic perspective, the value of this assessment is arguably the greatest in the immediate aftermath of an event (hours
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Induced Seismicity Forecasting with Uncertainty Quantification: Application to the Groningen Gas Field Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Hojjat Kaveh, Pau Batlle, Mateo Acosta, Pranav Kulkarni, Stephen J. Bourne, Jean Philippe Avouac
Reservoir operations for gas extraction, fluid disposal, carbon dioxide storage, or geothermal energy production are capable of inducing seismicity. Modeling tools exist for seismicity forecasting using operational data, but the computational costs and uncertainty quantification (UQ) pose challenges. We address this issue in the context of seismicity induced by gas production from the Groningen gas
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Evaluation of Station Performance of the Indonesian Seismic Network Using the Primary Location Parameter Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Nanang T. Puspito, Bambang S. Prayitno, Andri D. Nugraha, David P. Sahara, Dian Kusumawati, Zulfakriza Zulfakriza, Shindy Rosalia, Daryono Daryono, Nova Heryandoko, Ajat Sudrajat, Pepen Supendi, Suko P. Adi, Dwikorita Karnawati
Indonesia’s tectonic setting has resulted in a high level of seismic activity, which makes seismic networks and early warning systems vital for this country. Indonesia’s seismic stations, a total of 411 stations in 2021, are maintained by the Meteorological, Climatological, and Geophysical Agency (BMKG). This study attempts to evaluate station performance, because these are crucial in monitoring seismic
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Seismotectonics of the Querétaro Region (Central Mexico) and the 1934 MI 4.8 Earthquake North of Celaya Seismol. Res. Lett. (IF 3.3) Pub Date : 2024-03-01 Max Suter, Lucero Morelos‐Rodríguez
The Querétaro region (central Mexico) is located in the trans‐Mexican volcanic belt, an active volcanic arc related to the subduction of oceanic plates along the Pacific margin of Mexico. It is characterized by north–south‐striking normal faults of the southern Basin and Range Province, up to 40 km long and with morphologically pronounced scarps, such as the San Miguel de Allende fault and the faults