Results 11 to 20 of about 29,081 (316)

Teleseismic body waves extracted from ambient noise cross correlation between F-net and ChinArray phase II

Earthquake Research Advances, 2022
The vertical-vertical noise cross-correlation functions (NCFs) between two seismic arrays, the Japan F-net and ChinArray phase II, are calculated using continuous recordings during 2013–2016.
Lin Deng, Weitao Wang, Fang Wang, Songyong Yuan   +3 more
doaj   +1 more source

Seismic Tomography of the Trans-North China Orogen and Its Dynamic Implications

Frontiers in Earth Science, 2022
We present a high-resolution S wave velocity model of the Trans-North China Orogen (TNCO) and its adjacent areas derived from S wave traveltime residuals of teleseismic waveforms recorded by the dense ChinArray seismic network.
Xiaoming Xu, Xiaoming Xu, Zhifeng Ding, Zhifeng Ding, Huili Guo, Huili Guo, Xinfu Li   +6 more
doaj   +1 more source

Crustal structure beneath the central and western North China from receiver function analysis

Earthquake Science, 2022
The North China Craton (NCC) is one of the oldest cratons on earth. Several important tectonic transformations of Mesozoic-Cenozoic tectonic regime led to the destruction of the North China craton. The knowledge of crustal structure can provide important
Xin Gao, Yonghua Li, Xiaoyu Yang, Zhiyuan Ren   +3 more
doaj   +1 more source

Crustal Anisotropy Beneath the Trans-North China Orogen and its Adjacent Areas From Receiver Functions

Frontiers in Earth Science, 2021
As an important segment of the North China Craton, the Trans-North China Orogen (TNCO) has experienced strong tectonic deformation and magmatic activities since the Cenozoic and is characterized by significant seismicity.
Xiaoming Xu, Xiaoming Xu, Zhifeng Ding, Zhifeng Ding, Li Li, Li Li, Fenglin Niu, Fenglin Niu   +7 more
doaj   +1 more source

Benchmark on the accuracy and efficiency of several neural network based phase pickers using datasets from China Seismic NetworkKey points

Earthquake Science, 2023
Seismic phase pickers based on deep neural networks have been extensively used recently, demonstrating their advantages on both performance and efficiency. However, these pickers are trained with and applied to different data.
Ziye Yu, Weitao Wang, Yini Chen
doaj   +1 more source

Constraining the crustal structure under the central and western Tian Shan based on teleseismic receiver functions and gravity anomaliesKey points

Earthquake Science, 2023
The Tian Shan is a vast range that spans several countries in Asia. Understanding its evolutionary history may provide valuable insights into intracontinental orogenic dynamics.
Yonghua Li, Hanhan Tang, Lei Shi
doaj   +1 more source

Microtremor Survey Method: A New Approach for Geothermal Exploration

Frontiers in Earth Science, 2022
Geothermal resources are a type of sustainable and green energy, which can play an important role in emission peaks and carbon neutrality. Determining the best development target area is key to resource development and geophysical methods are commonly ...
Tian Baoqing, Tian Baoqing, Ding Zhifeng, Ding Zhifeng, Yang Liming, Fan Yifan, Zhang Bo   +6 more
doaj   +1 more source

CSESnet: A deep learning P-wave detection model based on UNet++ designed for China Seismic Experimental Site

Frontiers in Earth Science, 2023
Accurate detection of P-wave arrivals has important applications in real-time seismic data processing, such as earthquake monitoring and earthquake early warning. The Sichuan and Yunnan regions, where the China Seismic Experimental Site (CSES) is located,
Boren Li, Liping Fan, Ce Jiang, Ce Jiang, Shirong Liao, Lihua Fang, Lihua Fang   +6 more
doaj   +1 more source

Earthquake Source Properties from Pseudotachylite [PDF]

Bulletin of the Seismological Society of America, 2016
Earthquake-radiated motions contain in formation that can be interpreted as source displacement and therefore related to stress drop. Except in a few notable cases, these displacements cannot be easily related to the absolute stress level, the fault strength, or attributed to a particular physical mechanism.
Nicholas Beeler, Giulio Di Toro, Stefan B. Nielsen   +2 more
openaire   +4 more sources

Performance Evaluation of an Earthquake Early Warning System in the 2019–2020 M6.0 Changning, Sichuan, China, Seismic Sequence

Frontiers in Earth Science, 2021
China is currently building a nationwide earthquake early warning system (EEWS) which will be completed in June 2023. Several regions have been selected as pilot areas for instrumentation, software system and dissemination verification. For these regions,
Chaoyong Peng, Chaoyong Peng, Peng Jiang, Qiang Ma, Peng Wu, Jingrong Su, Yu Zheng, Jiansi Yang   +7 more
doaj   +1 more source