Zobrazeno 1 - 10
of 1 064
pro vyhledávání: '"ground motion prediction"'
Autor:
Ryo Nakanishi, Shunsuke Takemura
Publikováno v:
Earth, Planets and Space, Vol 76, Iss 1, Pp 1-26 (2024)
Abstract Ground motion prediction equations (GMPEs) in offshore regions are important not only for earthquake early warning systems and strong motion prediction but also for evaluating the durability of subsea structures and tsunami risks associated
Externí odkaz:
https://doaj.org/article/37fe436fbe9b476c9e9a3b919c66ae11
Publikováno v:
Natural Hazards Research, Vol 4, Iss 3, Pp 423-433 (2024)
This paper presents a comprehensive seismic hazard assessment for Guwahati city, located in the northeast region of India. The earthquake data considered for the study is from 1762 to 2020, which was sourced from the published data of various seismol
Externí odkaz:
https://doaj.org/article/1c91171d85fc4daea9ce066d81f0d564
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
Rockbursts have become one of the most serious hazards in underground mines worldwide. While the characteristics of ground motions before rockbursts (or high-magnitude events (HMEs)) have not been studied. In this study, the peak ground velocity (PGV
Externí odkaz:
https://doaj.org/article/5efaea1434984bac85483ffbaebc42cf
Publikováno v:
Earth and Space Science, Vol 11, Iss 9, Pp n/a-n/a (2024)
Abstract Earthquake early warning (EEW) is of great significance in mitigating seismic disasters. Traditional EEW algorithms, which are knowledge‐driven approaches, rely on seismologists' analysis. The limited intensity measures were extracted by s
Externí odkaz:
https://doaj.org/article/6f68b9163ca24f21b3ef1528b2a82dc9
Publikováno v:
Earth, Planets and Space, Vol 76, Iss 1, Pp 1-32 (2024)
Abstract Given the recent developments in machine-learning technology, its application has rapidly progressed in various fields of earthquake seismology, achieving great success. Here, we review the recent advances, focusing on catalog development, s
Externí odkaz:
https://doaj.org/article/dd0d653b9f444a55b515cc811ba413f3
Publikováno v:
Geophysical Research Letters, Vol 51, Iss 9, Pp n/a-n/a (2024)
Abstract Estimating an earthquake's magnitude and location may not be necessary to predict shaking in real time; instead, wavefield‐based approaches predict shaking with few assumptions about the seismic source. Here, we introduce GRAph Prediction
Externí odkaz:
https://doaj.org/article/9555cf02e19c4c5885ea8c9f76a818b0
Publikováno v:
Geosciences, Vol 14, Iss 5, p 139 (2024)
This article presents the findings of a study on the directionality effect observed in strong motion records. We set out to establish ratios between several seismic intensity measures that depend on sensor orientation (e.g., GMar, Larger) and others
Externí odkaz:
https://doaj.org/article/166cb809090847409277dd4ff6ecd336
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1574 (2024)
Entrepreneurs carrying out mining works under seismic hazard conditions are obliged to conduct studies in the field of engineering geophysics, including measuring, interpreting and evaluating the effects of rock mass tremors on ground vibration param
Externí odkaz:
https://doaj.org/article/6bd26d99407d44c29562c189ca983465
Autor:
Soo-jin Jung, Eric Yee
Publikováno v:
Applied Sciences, Vol 14, Iss 3, p 1182 (2024)
Due to a heightened interest in the field of earthquakes after two moderately sized earthquakes occurred in Gyeongju and Pohang, this study explores which ground motion prediction equations are compatible for the South Korea region. Due to data avail
Externí odkaz:
https://doaj.org/article/ca2008e18e6a46d0b80beb69966b542d
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