Results 11 to 20 of about 1,018,711 (376)
Nature Communications, 2020 Earthquake signal detection and seismic phase picking are challenging tasks in the processing of noisy data and the monitoring of microearthquakes. Here we present a global deep-learning model for simultaneous earthquake detection and phase picking ...
S. Mousavi +4 more
semanticscholar +1 more source
Hydrochemical characteristics of hot spring waters in the Kangding district related to the Lushan MS = 7.0 earthquake in Sichuan, China [PDF]
Natural Hazards and Earth System Sciences, 2015 Hydrogeochemistry of 10 hot springs in the Kangding district was investigated by analyzing cation and anion concentrations in the spring water. The water samples were collected in the 5 days after the Lushan MS = 7.0 earthquake, which occurred on 20 ...
Z. Chen +8 more
doaj +1 more source
Frontiers in Earth Science, 2021 The 2020 Jiashi M6.4 earthquake occurred in the Kaping fold-and-thrust belt, a major south-verging active thin-skin system in the southwestern Chinese Tien Shan Mountain, north of the Tarim Basin.
Qi Yao +11 more
doaj +1 more source
Acceleration of Deep Slip Along the Longmenshan Fault Plane Before the 2008 M8.0 Wenchuan Earthquake
Frontiers in Earth Science, 2022 The first step toward earthquake forecasting is the identification of variables whose spatio-temporal variation can be connected with pre-seismic crustal deformation.
Jing Zhao +9 more
doaj +1 more source
Site Classification and Analysis in Beijing Based on Geological Factors [PDF]
E3S Web of Conferences, 2020 The paper involves the application of the surface geological method for regional site classification in Beijing. Geological maps are collected through GIS to create a relationship of classification between the geological factors of the geological maps ...
Sun Jiajun +4 more
doaj +1 more source
An analytical framework to assess earthquake-induced downtime and model recovery of buildings
Earthquake spectra, 2022 While modern seismic design codes intend to ensure life-safety in extreme earthquakes, policy-makers are moving toward performance objectives stated in terms of acceptable recovery times.
C. Molina Hutt +2 more
semanticscholar +1 more source
The promise of implementing machine learning in earthquake engineering: A state-of-the-art review
Earthquake spectra, 2020 Machine learning (ML) has evolved rapidly over recent years with the promise to substantially alter and enhance the role of data science in a variety of disciplines.
Yazhou Xie +3 more
semanticscholar +1 more source
Convolutional neural network for earthquake detection and location [PDF]
Science Advances, 2017 ConvNetQuake is the first neural network for detection and location of earthquakes from seismograms. The recent evolution of induced seismicity in Central United States calls for exhaustive catalogs to improve seismic hazard assessment.
T. Perol, Michaël Gharbi, M. Denolle
semanticscholar +1 more source
Pre-seismic ionospheric anomalies detected before the 2016 Taiwan earthquake [PDF]
, 2019 On Feb. 5 2016 (UTC), an earthquake with moment magnitude 6.4 occurred in southern Taiwan, known as the 2016 (Southern) Taiwan earthquake. In this study, evidences of seismic earthquake precursors for this earthquake event are investigated.
Chen, Chia-Hung +5 more
core +2 more sources