Rupturing of small natural earthquakes in West Bohemia investigated by source scanning

Lávička, Vojtěch; Fischer, Tomáš

doi:10.1007/s10950-021-10043-y

Cited by 3 publications

(1 citation statement)

References 40 publications

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“…In an attempt to detect even very weak seismic activity we applied a source scanning algorithm (Kao and Shan, 2004;Vlček et al, 2016;Fischer et al, 2020;Lávička and Fischer 2022) to the data from all available seismic stations. For this purpose, we shifted the seismograms back in time using time delays corresponding to the travel times from The multichannel cross-correlation was carried out in the following way.…”

Section: Induced Seismicitymentioning

confidence: 99%

Hydraulic Injection Tests in the Pilot Egs Borehole Pvgt-Lt1 in Litoměřice, Czechia

Fischer,

Vlček,

Dědeček

et al. 2023

Preprint

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Section: Induced Seismicitymentioning

confidence: 99%

Hydraulic Injection Tests in the Pilot Egs Borehole Pvgt-Lt1 in Litoměřice, Czechia

Fischer,

Vlček,

Dědeček

et al. 2023

Preprint

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Hydraulic injection tests in the pilot EGS borehole PVGT-LT1 in Litoměřice, Czechia

Fischer,

Vlček,

Dědeček

et al. 2023

Geothermics

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SSA2py: A High-Performance Python Implementation of the Source-Scanning Algorithm for Spatiotemporal Seismic Source Imaging

Fountoulakis,

Evangelidis

2024

Seismological Research Letters

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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.

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Rupturing of small natural earthquakes in West Bohemia investigated by source scanning

Cited by 3 publications

References 40 publications

Hydraulic Injection Tests in the Pilot Egs Borehole Pvgt-Lt1 in Litoměřice, Czechia

Hydraulic Injection Tests in the Pilot Egs Borehole Pvgt-Lt1 in Litoměřice, Czechia

Hydraulic injection tests in the pilot EGS borehole PVGT-LT1 in Litoměřice, Czechia

SSA2py: A High-Performance Python Implementation of the Source-Scanning Algorithm for Spatiotemporal Seismic Source Imaging

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