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Twitter earthquake detection: earthquake monitoring in a social world

Annals of Geophysics, 2011
The U.S. Geological Survey (USGS) is investigating how the social networking site Twitter, a popular service for sending and receiving short, public text messages, can augment USGS earthquake response products and the delivery of hazard information ...
Daniel C. Bowden, Paul S. Earle, Michelle Guy   +2 more
doaj   +4 more sources

Joint inversion of Rayleigh group and phase velocities for S-wave velocity structure of the 2021 MS6.0 Luxian earthquake source area, ChinaKey points

Earthquake Science, 2023
On September 16, 2021, a MS6.0 earthquake struck Luxian County, one of the shale gas blocks in the Southeastern Sichuan Basin, China. To understand the seismogenic environment and its mechanism, we inverted a fine three-dimensional S-wave velocity model ...
Wei Xu, Pingping Wu, Dahu Li, Huili Guo, Qiyan Yang, Laiyu Lu, Zhifeng Ding   +6 more
doaj   +1 more source

Earthquake Detection Using Stacked Normalized Recurrent Neural Network (SNRNN)

Applied Sciences, 2023
Earthquakes threaten people, homes, and infrastructure. Earthquake detection is a complex task because it does not show any specific pattern, unlike object detection from images.
Muhammad Atif Bilal, Yongzhi Wang, Yanju Ji, Muhammad Pervez Akhter, Hengxi Liu   +4 more
doaj   +1 more source

LEQNet: Light Earthquake Deep Neural Network for Earthquake Detection and Phase Picking

Frontiers in Earth Science, 2022
Developing seismic signal detection and phase picking is an essential step for an on-site early earthquake warning system. A few deep learning approaches have been developed to improve the accuracy of seismic signal detection and phase picking.
Jongseong Lim, Sunghun Jung, Chan JeGal, Gwanghoon Jung, Jung Ho Yoo, Jin Kyu Gahm, Jin Kyu Gahm, Giltae Song, Giltae Song   +8 more
doaj   +1 more source

The Choice of Time–Frequency Representations of Non-Stationary Signals Affects Machine Learning Model Accuracy: A Case Study on Earthquake Detection from LEN-DB Data

Mathematics, 2022
Non-stationary signals are often analyzed using raw waveform data or spectrograms of those data; however, the possibility of alternative time–frequency representations being more informative than the original data or spectrograms is yet to be ...
Marko Njirjak, Erik Otović, Dario Jozinović, Jonatan Lerga, Goran Mauša, Alberto Michelini, Ivan Štajduhar   +6 more
doaj   +1 more source

Detecting Real Earthquakes Using Artificial Earthquakes: On the Use of Synthetic Waveforms in Matched‐Filter Earthquake Detection [PDF]

Geophysical Research Letters, 2018
Abstract Matched‐filters are an increasingly popular tool for earthquake detection, but their reliance on a priori knowledge of the targets of interest limits their application to regions with previously documented seismicity. We explore an extension to the matched‐filter method to detect earthquakes and low‐frequency earthquakes on ...
John Townend, Calum Chamberlain
openaire   +3 more sources

Employing convolution-enhanced attention mechanisms for earthquake detection and phase picking models

Frontiers in Earth Science, 2023
In response to the challenge of improving the performance of deep learning models for earthquake detection in low signal-to-noise ratio environments, this article introduces a new earthquake detection model called ECPickNet.
Shuwang Wang, Shuwang Wang, Feng Liu, Xin-xin Yin, Xin-xin Yin, Kerui Chen, Run Cai   +6 more
doaj   +1 more source

EPick: Attention-based multi-scale UNet for earthquake detection and seismic phase picking

Frontiers in Earth Science, 2022
Earthquake detection and seismic phase picking play a crucial role in the travel-time estimation of P and S waves, which is an important step in locating the hypocenter of an event. The phase-arrival time is usually picked manually. However, its capacity
Wei Li, Megha Chakraborty, Megha Chakraborty, Darius Fenner, Darius Fenner, Johannes Faber, Johannes Faber, Kai Zhou, Kai Zhou, Kai Zhou, Georg Rümpker, Georg Rümpker, Horst Stöcker, Horst Stöcker, Horst Stöcker, Horst Stöcker, Nishtha Srivastava, Nishtha Srivastava   +17 more
doaj   +1 more source

Temporal Relationship of Slow Slip Events and Microearthquake Seismicity: Insights From Earthquake Automatic Detections in the Northern Hikurangi Margin, Aotearoa New Zealand

Geochemistry, Geophysics, Geosystems, 2023
Slow slip events in the northern Hikurangi margin of Aotearoa New Zealand occur every 18–24 months and last for several weeks before returning to average convergence rates of around 38 mm/yr.
Jefferson Yarce, Anne F. Sheehan, Steven Roecker   +2 more
doaj   +1 more source

Induced Seismicity Completeness Analysis for Improved Data Mining

Frontiers in Earth Science, 2021
The study of induced seismicity at sites of fluid injection is paramount to assess the seismic response of the earth’s crust and to mitigate the potential seismic risk. However statistical analysis is limited to events above the completeness magnitude mc,
Arnaud Mignan, Arnaud Mignan
doaj   +1 more source