Results 1 to 10 of about 87 (69)
Frontiers in Earth Science, 2022 The Japanese KiK-net network comprises about 700 stations spread across the whole territory of Japan. For most of the stations, VP and VS profiles were measured down to the bottom borehole station.
Paolo Bergamo +2 more
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Frontiers in Earth Science, 2021 We analyzed strong-motion records at the ground and borehole in and around the Kanto Basin and the seafloor in the Japan Trench area from three nearby offshore earthquakes of similar magnitudes (Mw 5.8–5.9).
Yadab P. Dhakal, Takashi Kunugi
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Frontiers in Earth Science, 2023 In this paper, we investigated the characteristics of nonlinear site response (NLSR) at 23 S-net seafloor sites using strong-motion records obtained during three Mw 7 class earthquakes that occurred directly beneath the network.
Yadab P. Dhakal, Takashi Kunugi
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Machine-learning models to predict P- and S-wave velocity profiles for Japan as an example
Frontiers in Earth Science, 2023 Wave velocity profiles are significant for various fields, including rock engineering, petroleum engineering, and earthquake engineering. However, direct measurements of wave velocities are often constrained by time, cost, and site conditions.
Jisong Kim, Jae-Do Kang, Byungmin Kim
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Dizhen xuebao, 2023 受窄频地震仪平坦响应范围影响，窄频速度记录存在低频成分失真问题，导致地震记录可用范围受限。针对此问题，本文推导基于拉普拉斯变换和双线性变换的传递函数，实现由窄频地震记录向宽频地震记录的校正，并以日本Hi-net速度记录为例进行验证，将校正后的速度记录与同台KiK-net加速度积分所得的速度记录予以对比。结果显示，原始速度记录在低频处存在失真，而校正后的波形与KiK-net加速度积分速度记录波形一致，这表明改进的传递函数能有效地解决原速度记录中的低频成分失真问题，有效地拓宽了低频可使用范围 ...
Yixuan Sun, Guolin Xu
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Inversion of shear wave velocity based on downhole array strong motion recordings
Yantu gongcheng xuebao, 2020 An inversion algorithm is proposed to estimate the model parameters of soil dynamic response based on the KiK-net downhole array recordings. The algorithm borrows the Bayesian estimation technique using the unscented Kalman filtering, and can make full ...
LI Lin , HUANG Du-ruo , JIN Feng
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Frontiers in Earth Science, 2021 Strong-motions from 79 moderate magnitude (5.9 ≥ Mw) earthquakes that caused various degrees of impact on humans and built-environment in Japan between 1996 and 2019, after the start of K-NET and KiK-net, are presented.
Yadab P. Dhakal
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MOWLAS: NIED observation network for earthquake, tsunami and volcano
Earth, Planets and Space, 2020 National Research Institute for Earth Science and Disaster Resilience (NIED) integrated the land observation networks established since the 1995 Kobe earthquake with the seafloor observation networks established since the 2011 Tohoku earthquake and ...
Shin Aoi +9 more
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Earth, Planets and Space, 2023 Near-surface seismic shear wave is a basic tool for seismic investigations. However, its frequency-dependent property is not fully investigated, especially by the in situ observation method.
Hao Zhang +4 more
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Dizhen xuebao, 2022 为了探索地震加速度时程记录的震级信息，训练卷积神经网络基于地震震级大小对地震记录进行分类，将K-NET和KiK-net中将近12万个地震记录作为样本，对其进行信息筛选和归一化，之后将地震加速度时程记录用作输入，训练卷积神经网络模型以M5.5为分类界限来区分大震和小震。结果显示，在训练集中基于该模型的分类准确率为93.6％，在测试集中的准确率为92.3％，具有良好的分类效果，这表明大震记录与小震记录之间存在一些根本的区别，即可通过地震动加速度时程记录获取一定的震级信息。
Tao Liu, Zhijun Dai, Su Chen, Lei Fu
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