Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Shanyou Li"'
Publikováno v:
Earth, Planets and Space, Vol 76, Iss 1, Pp 1-18 (2024)
Abstract Rapid and accurate earthquake magnitude estimations are essential for earthquake early warning (EEW) systems. The distance information between the seismometers and the earthquake hypocenter can be important to the magnitude estimation. We de
Externí odkaz:
https://doaj.org/article/8a82e0662b214714b8bd0cfa8702a1f5
Publikováno v:
Railway Sciences, Vol 1, Iss 2, Pp 307-323 (2022)
Purpose – Using the strong motion data of K-net in Japan, the continuous magnitude prediction method based on support vector machine (SVM) was studied. Design/methodology/approach – In the range of 0.5–10.0 s after the P-wave arrival, the predi
Externí odkaz:
https://doaj.org/article/162e8f7e8c404edc89b26287e7a65a0d
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
Introduction: China is one of the most seismically active countries in the world. It is an important task for a Chinese earthquake early warning system to quickly obtain robust magnitude estimation. However, within the first few seconds after P-wave
Externí odkaz:
https://doaj.org/article/88716faded724b0abc8217ee1d56aa5f
Publikováno v:
Earthquake Research Advances, Vol 3, Iss 1, Pp 100197- (2023)
It is critical to determine whether a site has potential damage in real-time after an earthquake occurs, which is a challenge in earthquake disaster reduction. Here, we propose a real-time Earthquake Potential Damage predictor (EPDor) based on predic
Externí odkaz:
https://doaj.org/article/7776452423de47318779696ace125581
Publikováno v:
地球与行星物理论评, Vol 52, Iss 6, Pp 634-646 (2021)
ShakeAlert earthquake early warning system in the west coast of the United States can issue alerts to the public before destructive seismic waves arrive, mitigating the hazards of earthquakes. After more than ten years of development, the research of
Externí odkaz:
https://doaj.org/article/96068230e9c541a8bb3c10f76414bcaa
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
Identifying appropriate seismic events is the primary precondition for conducting meaningful analysis in seismological research. The successful creation of a method to automatically identify earthquakes from large amounts of data has become increasin
Externí odkaz:
https://doaj.org/article/46eae88244424a1da4aa236c113abd3e
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
Magnitude estimation is a vital task within earthquake early warning (EEW) systems (EEWSs). To improve the magnitude determination accuracy after P-wave arrival, we introduce an advanced magnitude prediction model that uses a deep convolutional neura
Externí odkaz:
https://doaj.org/article/bda953ae608240a988d11a114100dcbd
Publikováno v:
Frontiers in Earth Science, Vol 9 (2021)
In this work we propose and apply a straightforward methodology for the automatic characterization of the extended earthquake source, based on the progressive measurement of the P-wave displacement amplitude at the available stations deployed around
Externí odkaz:
https://doaj.org/article/2d28d74344504cdea0dfda1a9c696dea
Publikováno v:
Applied Sciences, Vol 10, Iss 9, p 3086 (2020)
In this paper, a nonlinear regression method called a support vector regression (SVR) is presented to establish the relationship between engineering ground motion parameters and macroseismic intensity (MSI). Sixteen ground motion parameters, includin
Externí odkaz:
https://doaj.org/article/4ce516d1118146c89a405952bc74db5e
Publikováno v:
Shock and Vibration, Vol 2018 (2018)
To detect seismic damage of moment resisting frame (MRF) structures, a data-driven method using the fractal dimension (FD) of time-frequency feature (TFF) of structural seismic dynamic responses at measured stories is extended and refined. The TFF is
Externí odkaz:
https://doaj.org/article/3d6e5aab910548eaa4240bcac5cf211f