Results 11 to 20 of about 7,336 (254)

Earthquake landslide detection method combining post-earthquake coherence increase and polarized vegetation damage

Geomatics, Natural Hazards & Risk
Rapid detection and accurate assessment of earthquake landslides are of great significance for disaster response and mitigation efforts. Although the method for detecting increased coherence in post-earthquake landslide areas can effectively capture ...
Haoran Liu, Ping Duan, Jia Li, Kang Zhao, Xinrui Yu   +4 more
doaj   +3 more sources

Bayesian Detection of Streamflow Response to Earthquakes [PDF]

Water Resources Research, 2021
AbstractDetecting whether and how river discharge responds to strong earthquake shaking can be time‐consuming and prone to operator bias when checking hydrographs from hundreds of gauging stations. We use Bayesian piecewise regression models to show that up to a fifth of all gauging stations across Chile had their largest change in daily streamflow ...
Oliver Korup, Christian H. Mohr, Michael M. Manga   +2 more
openaire   +2 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 through computationally efficient similarity search. [PDF]

Sci Adv, 2015
Yoon CE, O'Reilly O, Bergen KJ, Beroza GC.   +3 more
europepmc   +2 more sources

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

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

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

Implication of Radon Monitoring for Earthquake Surveillance Using Statistical Techniques: A Case Study of Wenchuan Earthquake

Geofluids, 2020
The seismotectonically induced changes in groundwater radon (Rn) are considered to be strong imputes for the surveillance of imminent major earthquakes. Groundwater facilitates the migration of soil gases as a result of tectonic stresses. In this regard,
Aftab Alam, Nanping Wang, Guofeng Zhao, Adnan Barkat   +3 more
doaj   +1 more source