Results 41 to 50 of about 76,495 (193)

Enhancing Earthquake Detection from Orbit

Eos, 2022
A new application of machine learning boosts scientists’ ability to use data from satellite navigation systems to detect and warn of earthquakes.
openaire   +1 more source

Apparent Clustering and Apparent Background Earthquakes Biased by Undetected Seismicity

, 2005
In models of triggered seismicity and in their inversion with empirical data, the detection threshold m_d is commonly equated to the magnitude m_0 of the smallest triggering earthquake. This unjustified assumption neglects the possibility of shocks below
Ben-Zion, Console, Didier Sornette, Dieterich, Felzer, Helmstetter, Helmstetter, Helmstetter, Helmstetter, Helmstetter, Helmstetter, Helmstetter, Kagan, Kagan, Kagan, Kagan, Maximillian J. Werner, Nechad, Ogata, Ogata, Ouillon, Reasenberg, Richardson, Sellers, Sornette, Sornette, Sornette, Utsu, Zhuang   +28 more
core   +1 more source

Horizontal rotation signals detected by "G-Pisa" ring laser for the Mw=9.0, March 2011, Japan earthquake [PDF]

, 2012
We report the observation of the ground rotation induced by the Mw=9.0, 11th of March 2011, Japan earthquake. The rotation measurements have been conducted with a ring laser gyroscope operating in a vertical plane, thus detecting rotations around the ...
A Cochard, A Pancha, Alexander Velikoseltsev, Angela Di Virgilio, BLN Kennett, D Kurrle, DP McLeod, Enrico Maccioni, Fabio Stefani, GE Stedman, GE Stedman, Gilberto Saccorotti, Giorgio Carelli, H Igel, H Igel, J Belfi, Jacopo Belfi, KU Schreiber, KU Schreiber, M Takeo, Nicolò Beverini, T Lay, V Rautenberg   +22 more
core   +2 more sources

Shapelets for earthquake detection

, 2019
This paper introduces EQShapelets (EarthQuake Shapelets) a time-series shape-based approach embedded in machine learning to autonomously detect earthquakes. It promises to overcome the challenges in the field of seismology related to automated detection and cataloging of earthquakes.
Arul, Monica, Kareem, Ahsan
openaire   +2 more sources

Understanding Animal Detection of Precursor Earthquake Sounds [PDF]

Animals, 2017
We use recent research to provide an explanation of how animals might detect earthquakes before they occur. While the intrinsic value of such warnings is immense, we show that the complexity of the process may result in inconsistent responses of animals to the possible precursor signal.
Michael Garstang, Michael C. Kelley
openaire   +3 more sources

Automatic Reconstruction of Fault Networks from Seismicity Catalogs: 3D Optimal Anisotropic Dynamic Clustering [PDF]

, 2007
We propose a new pattern recognition method that is able to reconstruct the 3D structure of the active part of a fault network using the spatial location of earthquakes.
Bhattacharya, Bishop, Bottou, Bradley, C. Ducorbier, Cohen, D. Sornette, Darrozes, Duda, Duda, Faulkner, G. Ouillon, Gaillot, Gaillot, Gaillot, Grégoire, Guzofski, Hamerly, Jones, Kanungo, Likas, Liu, MacQueen, Nicholson, Ouillon, Ouillon, Ouillon, Pelleg, Plesch, Press, Sarti, Scholz, Shearer, Shearer, Steacy, Wesson, Zhang   +36 more
core   +3 more sources

Deep learning detects uncataloged low-frequency earthquakes across regions

Seismica
Documenting the interplay between slow deformation and seismic ruptures is essential to understand the physics of earthquakes nucleation. However, slow deformation is often difficult to detect and characterize.
Jannes Münchmeyer, Sophie Giffard-Roisin, Marielle Malfante, William Frank, Piero Poli, David Marsan, Anne Socquet   +6 more
doaj   +1 more source

Earthquake Arrival Association with Backprojection and Graph Theory

, 2019
The association of seismic wave arrivals with causative earthquakes becomes progressively more challenging as arrival detection methods become more sensitive, and particularly when earthquake rates are high.
Delorey, Andrew A., Gomberg, Joan, Johnson, Paul A., McBrearty, Ian W.   +3 more
core   +1 more source

The shock-acoustic waves generated by earthquakes [PDF]

, 2000
We investigate the form and dynamics of shock-acoustic waves generated by earthquakes. We use the method for detecting and locating the sources of ionospheric impulsive disturbances, based on using data from a global network of receivers of the GPS ...
Afraimovich, E. L., Perevalova, N. P., Plotnikov, A. V., Uralov, A. M.   +3 more
core   +4 more sources

Damage classification and estimation in experimental structures using time series analysis and pattern recognition [PDF]

, 2014
Peer ...
de Lautour, Oliver R., Omenzetter, Piotr
core   +1 more source