Seismological Research Letters最新文献_第6页

SSA Future Directions for Physics-Based Ground-Motion Modeling Meeting Report SSA 基于物理的地动建模未来发展方向会议报告

Seismological Research Letters Pub Date : 2024-04-03 DOI: 10.1785/0220240081

Becky Ham

引用次数: 0

HD-TMA: A New Fast Template Matching Algorithm Implementation for Linear DAS Array Data and Its Optimization Strategies HD-TMA：线性 DAS 阵列数据的新型快速模板匹配算法实现及其优化策略

Seismological Research Letters Pub Date : 2024-04-03 DOI: 10.1785/0220240019

Hao Lv, Xiangfang Zeng, Gongbo Zhang, Zhenghong Song

{"title":"HD-TMA: A New Fast Template Matching Algorithm Implementation for Linear DAS Array Data and Its Optimization Strategies","authors":"Hao Lv, Xiangfang Zeng, Gongbo Zhang, Zhenghong Song","doi":"10.1785/0220240019","DOIUrl":"https://doi.org/10.1785/0220240019","url":null,"abstract":"\u0000 Distributed acoustic sensing (DAS) technology, combined with existing telecom fiber-optic cable, has shown great potential in earthquake monitoring. The template matching algorithm (TMA) shows good detection capabilities but depends on heavy computational cost and diverse template events. We developed a program named HD-TMA (high-efficiency DAS template matching algorithm), which accelerates computation by 40 times on the central processing unit platform and 2 times on the graphic processing unit platform. For linear DAS array data, we introduced a fast arrival-picking algorithm based on the Hough transform to pick the time window of template waveform. The HD-TMA was successfully applied to the 2022 Ms 6.9 Menyuan earthquake aftershock sequence recorded by a DAS array, and the DAS data result was compared with a collocated short-period seismometer data’s result. Two optimization strategies were discussed based on this data set. (1) Using signal-to-noise ratio in choosing the location and aperture of the subarray and the time window of the template waveform. (2) Considering the decrease in template events’ marginal utility, we proposed applying a neural network to build a template event library, followed by the HD-TMA scanning. Such strategies can effectively reduce computational cost and improve detection capability.","PeriodicalId":508466,"journal":{"name":"Seismological Research Letters","volume":"6 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140748093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SSA2py: A High-Performance Python Implementation of the Source-Scanning Algorithm for Spatiotemporal Seismic Source Imaging SSA2py：用于时空地震震源成像的震源扫描算法的高性能 Python 实现

Seismological Research Letters Pub Date : 2024-03-29 DOI: 10.1785/0220230335

I. Fountoulakis, C. Evangelidis

{"title":"SSA2py: A High-Performance Python Implementation of the Source-Scanning Algorithm for Spatiotemporal Seismic Source Imaging","authors":"I. Fountoulakis, C. Evangelidis","doi":"10.1785/0220230335","DOIUrl":"https://doi.org/10.1785/0220230335","url":null,"abstract":"\u0000 This article introduces the first version of SSA2py (v.1.0)—an open-source package designed to implement the source-scanning algorithm (SSA). SSA2py is a Python-based, high-performance-oriented package that incorporates the SSA method, which has been effectively applied to numerous earthquakes for imaging the spatiotemporal behavior of the seismic source. The software supports a wide range of data and metadata resources. These include the International Federation of Digital Seismograph Networks Web Services, the SeedLink protocol, and others, ensuring optimal access to waveforms and station metadata. Furthermore, the code may evaluate the quality of accessible waveforms using signal analysis methods, allowing for the most appropriate data selection. The SSA method has been computationally optimized using multiprocessing techniques for efficient central processing unit and graphic processing units executions, enabling considerably accelerated computational processes even for large-scale grid searches. The program is also designed to provide statistical and methodological uncertainties for the executed cases through jackknife, bootstrap, and backprojection array response function tests. After appropriate tuning by the user, SSA2py can be used for detailed earthquake source studies that backprojection technique typically serves as a complementary output to the source inversion result or as a near-real-time tool for successful and quick identification of the style and complexity of the earthquake rupture. With a wide and flexible configuration, the user has complete control over all calculating aspects of SSA2py. This article provides a detailed description of the structure and capabilities of this new package, and its reliability is demonstrated through targeted applications to the 2004 Mw 6.0 Parkfield and 2019 Mw 7.1 Ridgecrest earthquakes. Furthermore, the computational efficiency of SSA2py is validated through rigorous performance tests.","PeriodicalId":508466,"journal":{"name":"Seismological Research Letters","volume":"52 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140367714","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

SigRecover: Recovering Signal from Noise in Distributed Acoustic Sensing Data Processing SigRecover：在分布式声学传感数据处理中从噪声中恢复信号

Seismological Research Letters Pub Date : 2024-03-27 DOI: 10.1785/0220230370

Yangkang Chen

{"title":"SigRecover: Recovering Signal from Noise in Distributed Acoustic Sensing Data Processing","authors":"Yangkang Chen","doi":"10.1785/0220230370","DOIUrl":"https://doi.org/10.1785/0220230370","url":null,"abstract":"\u0000 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, resulting in coherent signal leakage in the removed noise. Here, we present a method (SigRecover) for minimizing signal leakage by recovering useful signals from removed noise and its open-source package (see Data and Resources). We apply a robust dictionary learning framework to retrieve the coherent signals from removed noise that can be captured by a pretrained library of atoms (features). The atoms are obtained by a fast dictionary-learning approach from the initially denoised data. The proposed framework is a self-learning methodology, which does not require additional training datasets and thus is conveniently applicable to any input data. We use three well-processed examples from the literature to demonstrate the generic performance of the proposed method. The idea behind this article is inspired by similar methods widely used in the exploration seismology community for retrieving signal leakage and is promising not only for DAS data processing, but also for all other multichannel seismological datasets.","PeriodicalId":508466,"journal":{"name":"Seismological Research Letters","volume":"15 23","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140374692","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Temporary Seismic Network in the Metropolitan Area of Rome (Italy): New Insight on an Urban Seismology Experiment 意大利罗马市区的临时地震网络：城市地震学实验的新见解

Seismological Research Letters Pub Date : 2024-03-27 DOI: 10.1785/0220230290

M. Vassallo, G. Cultrera, Alessandro Esposito, A. Mercuri, A. Bobbio, G. Di Giulio, G. Milana, P. Bordoni, M. Ciaccio, F. Cara

{"title":"Temporary Seismic Network in the Metropolitan Area of Rome (Italy): New Insight on an Urban Seismology Experiment","authors":"M. Vassallo, G. Cultrera, Alessandro Esposito, A. Mercuri, A. Bobbio, G. Di Giulio, G. Milana, P. Bordoni, M. Ciaccio, F. Cara","doi":"10.1785/0220230290","DOIUrl":"https://doi.org/10.1785/0220230290","url":null,"abstract":"\u0000 This study presents data and preliminary analysis from a temporary seismic network (SPQR), which was deployed in the urban area of Rome (Italy) for three months in early 2021. The network was designed to investigate the city’s subsurface while evaluating the feasibility of a permanent urban seismic network, and consisted of 24 seismic stations. Despite significant anthropogenic noise, the SPQR network well recorded earthquake signals, revealing clear spatial variability referable to site effects. In addition, the network’s continuous recordings allowed the use of seismic noise and earthquake signals to derive spectral ratios at sites located in different geological and lithological settings. During the experiment, there were periods of activity restrictions imposed on citizens to limit the spread of COVID-19. Although the observed power spectral density levels at stations may not show visible noise reductions, they do cause variations in calculated spectral ratios across measurement sites. Finally, a statistical noise analysis was conducted on continuous seismic station data to evaluate their performance in terms of detection threshold for earthquakes. The results indicate that all network stations can effectively record earthquakes with a good signal-to-noise ratio (≥5 for P and S phases) in the magnitude range of 1.9–3.3 at distances of 10 km and 80 km, respectively. In addition, the network has the potential to record earthquakes of magnitude 4 up to 200 km, covering areas in Central Italy that are far from the city. This analysis shows that it is possible to establish urban observatories in noisy cities such as Rome, where hazard studies are of particular importance due to the high vulnerability (inherent fragility of its monumental heritage) and exposure.","PeriodicalId":508466,"journal":{"name":"Seismological Research Letters","volume":"73 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140376179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preface to Focus Section on New Frontiers and Advances in Global Seismology 全球地震学的新领域和新进展》重点章节序言

Seismological Research Letters Pub Date : 2024-03-27 DOI: 10.1785/0220240092

R. Anthony, Nicolas Leroy, R. Mellors, A. Ringler, Joachim Saul, Martin Vallée, D. Wilson

引用次数: 0

Strengthening the Development and Use of “Deep” Seismic Event Catalogs 加强 "深度 "地震事件目录的开发和使用

Seismological Research Letters Pub Date : 2024-03-25 DOI: 10.1785/0220240044

Yongsoo Park, G. C. Beroza, W. Ellsworth

引用次数: 0

Novel Phase-Sensitive Full-Waveform Tomography for Seismic Imaging 用于地震成像的新型相位敏感全波形层析成像技术

Seismological Research Letters Pub Date : 2024-03-25 DOI: 10.1785/0220230442

Xingpeng Dong, Dinghui Yang

引用次数: 0

A New Spatial Variation Model for Ground-Motion Intensities Combined with Correlation and Coherency 结合相关性和一致性的新型地动强度空间变化模型

Seismological Research Letters Pub Date : 2024-03-25 DOI: 10.1785/0220230249

Pan Wen, Baofeng Zhou, Guoliang Shao

{"title":"A New Spatial Variation Model for Ground-Motion Intensities Combined with Correlation and Coherency","authors":"Pan Wen, Baofeng Zhou, Guoliang Shao","doi":"10.1785/0220230249","DOIUrl":"https://doi.org/10.1785/0220230249","url":null,"abstract":"\u0000 Regional seismic risk or loss assessments generally require simulation of spatially distributed ground motions using multiple intensity measures. Hence, in this study, ground-motion model estimation is performed with a spatial correlation. Previously, many researchers have analyzed spatial correlations and developed empirical models using ground-motion recordings. In this study, ground motions occurring in California between 2019 and 2023 were used to analyze spatial correlations using semivariograms for the peak ground acceleration and pseudospectral acceleration in various spectral periods. Based on the analysis results, two aspects need to be revised in the conventional correlation model: (1) the empirical exponential model cannot reasonably reflect the target spatial correlation at a separation distance <10 km, and (2) the variation in the spatial correlation ground-motion intensity cannot be described at a small separation distance <1 km. Owing to these limitations, we revised the fitting model of the semivariogram to better characterize the spatial correlation. In the model, another function called coherency, replaced the spatial correlation to characterize the variation in the Fourier phase rather than the intensity within a separation distance <1 km. This research shows that the spatial variation in any region can be analyzed by combining the coherence and correlation functions for practical seismic-risk or loss assessment problems.","PeriodicalId":508466,"journal":{"name":"Seismological Research Letters","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140382160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reliable Earthquake Source Parameters Using Distributed Acoustic Sensing Data Derived from Coda Envelopes 利用分布式声学传感数据获得可靠的震源参数

Seismological Research Letters Pub Date : 2024-03-25 DOI: 10.1785/0220230270

R. Gök, William R. Walter, J. Barno, Carlos Downie, R. Mellors, K. Mayeda, Jorge Roman-Nieves, Dennise Templeton, Jonathan Ajo-Franklin

{"title":"Reliable Earthquake Source Parameters Using Distributed Acoustic Sensing Data Derived from Coda Envelopes","authors":"R. Gök, William R. Walter, J. Barno, Carlos Downie, R. Mellors, K. Mayeda, Jorge Roman-Nieves, Dennise Templeton, Jonathan Ajo-Franklin","doi":"10.1785/0220230270","DOIUrl":"https://doi.org/10.1785/0220230270","url":null,"abstract":"\u0000 A challenge in fully using distributed acoustic sensing (DAS) data collected from fiber-optic sensors is correcting the signals to provide quantitative true ground motion. Such corrections require considering coupling and instrument response issues. In this study, we show via comparison with geophone and broadband seismometer data that we can use coda envelope calibration techniques to obtain absolute moment magnitudes and source spectra from DAS data. Here, we use DAS and nodal geophones deployed as part of a geothermal monitoring experiment at Brady Hot Springs, Nevada, and on a 20 km long dark fiber of the ESnet’s Dark Fiber Testbed–a U.S. Department of Energy user facility, in Sacramento, California. Several DAS line segments with colocated geophone stations were used to compare the amplitude variation using narrowband S-wave coda envelopes. The DAS coda envelope decay at each point showed remarkable similarity with coda envelopes from different events in each narrow frequency range examined. The coda envelopes are used to determine Mw magnitudes and source spectra from regional stations without any major scatter. Because coda waves arrive from a range of directions, the azimuthal sensitivity of DAS is somewhat ameliorated. We show that the openly available seismic coda calibration software toolkit can be used for straightforward and faster processing of large DAS datasets for source parameters and subsurface imaging.","PeriodicalId":508466,"journal":{"name":"Seismological Research Letters","volume":" 88","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140384131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0