Prediction Equations for Peak-Ground Accelerations and Velocities in Northeast Japan Using the S-net Data (Special Issue on NIED Frontier Research on Science and Technology for Disaster Risk Reduction and Resilience 2024)
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- 資料種別
- 記事
- 著者・編者
- Yadab P. DhakalHisahiko KuboTakashi Kunugi
- タイトル（掲載誌）
- Journal of disaster research
- 巻号年月日等（掲載誌）
- 19(5)=126:2024.10
- 掲載巻
- 19
- 掲載号
- 5
- 掲載通号
- 126
- 掲載ページ
- 760-771
- 掲載年月日（W3CDTF）
- 2024-10
- ISSN（掲載誌）
- 1881-2473
- ISSN-L（掲載誌）
- 1881-2473
- 出版事項（掲載誌）
- Tokyo : Fuji Technology Press
- 出版地（国名コード）
- JP
- 本文の言語コード
- eng
- 件名標目
- NDLC
- 対象利用者
- 一般
- 所蔵機関
- 国立国会図書館
- 請求記号
- Z78-A454
- 連携機関・データベース
- 国立国会図書館 : 国立国会図書館雑誌記事索引
- 書誌ID（NDLBibID）
- 033747594
- 整理区分コード
- 632
- 要約等
- <p>S-net is a seafloor observation network for earthquakes and tsunamis around the Japan Trench, comprising 150 observatories with seismometers and pressure gauges. The region has been known to experience massive earthquakes, and several magnitude 6 and 7 class earthquakes have occurred after the network was established in 2016. This study constructed ground motion prediction equations (GMPEs) for horizontal peak ground accelerations (PGAs) and peak ground velocities (PGVs) using the S-net data and revealed that the GMPEs can be used to predict the PGAs and PGVs at the land stations where measured S-wave velocities are available. We used a relatively short time window of the S-net records from the viewpoint of earthquake early warning but included S waves. Data from earthquakes of magnitudes between Mw 5.5 and Mw 7.4 were used. The construction of the GMPEs was achieved in two steps. First, regression analysis was conducted for each event data, and mean site residual was obtained over the available records at each S-net site. Second, the data were adjusted by the mean site residuals, and stratified regression analysis, which decouples the source and path factors, was performed. Finally, we applied the GMPEs to predict PGAs and PGVs at the KiK-net sites on land. We determined that the residuals at the KiK-net sites were systematically biased with Vs30 (average S-wave velocity in the upper 30 m). We obtained correction factors for the bias and demonstrated that the PGAs and PGVs at the KiK-net sites could be predicted reasonably well.</p>
- DOI
- 10.20965/jdr.2024.p0760
- オンライン閲覧公開範囲
- インターネット公開
- 連携機関・データベース
- 科学技術振興機構 : J-STAGE
- 要約等
- <p>S-net is a seafloor observation network for earthquakes and tsunamis around the Japan Trench, comprising 150 observatories with seismometers and pressure gauges. The region has been known to experience massive earthquakes, and several magnitude 6 and 7 class earthquakes have occurred after the network was established in 2016. This study constructed ground motion prediction equations (GMPEs) for horizontal peak ground accelerations (PGAs) and peak ground velocities (PGVs) using the S-net data and revealed that the GMPEs can be used to predict the PGAs and PGVs at the land stations where measured S-wave velocities are available. We used a relatively short time window of the S-net records from the viewpoint of earthquake early warning but included S waves. Data from earthquakes of magnitudes between Mw 5.5 and Mw 7.4 were used. The construction of the GMPEs was achieved in two steps. First, regression analysis was conducted for each event data, and mean site residual was obtained over the available records at each S-net site. Second, the data were adjusted by the mean site residuals, and stratified regression analysis, which decouples the source and path factors, was performed. Finally, we applied the GMPEs to predict PGAs and PGVs at the KiK-net sites on land. We determined that the residuals at the KiK-net sites were systematically biased with Vs30 (average S-wave velocity in the upper 30 m). We obtained correction factors for the bias and demonstrated that the PGAs and PGVs at the KiK-net sites could be predicted reasonably well.</p>
- DOI
- 10.20965/jdr.2024.p0760
- 関連情報（URI）
- 参照
- Shear wave velocity structure at the Fukushima forearc region based on H/V analysis of ambient noise recordings by ocean bottom seismometersUnderstanding surface wave modal content for high-resolution imaging of submarine sediments with distributed acoustic sensingEstimation of source, path, and site factors of S waves recorded at the S-net sites in the Japan Trench area using the spectral inversion techniqueRegional offshore ground motion prediction model from a referenced empirical approach: A case study in the Japan Trench areaStrong Motions on Land and Ocean Bottom: Comparison of Horizontal PGA, PGV, and 5% Damped Acceleration Response Spectra in Northeast Japan and the Japan Trench AreaMarine Sediment Characterized by Ocean‐Bottom Fiber‐Optic SeismologyNIED seismic moment tensor catalogue for regional earthquakes around Japan: quality test and applicationRotation motions of cabled ocean-bottom seismic stations during the 2011 Tohoku earthquake and their effects on magnitude estimation for early warningsSedimentary Structure Derived From Multi‐Mode Ambient Noise Tomography With Dense OBS Network at the Japan TrenchAn offshore non‐ergodic ground motion model for subduction earthquakes in Japan Trench areaOffshore Ground Motion Models for Arias Intensity and Cumulative Absolute Velocity in the Japan Trench AreaHorizontal ground‐motion model for subduction slab earthquakes using offshore ground motions in the Japan Trench areaProcessing of strong-motion accelerograms: needs, options and consequencesPeak horizontal acceleration and velocity from strong-motion records including records from the 1979 imperial valley, California, earthquakeA New Ground Motion Prediction Equation for Japan Applicable up to M9 Mega-EarthquakeOn Pads and Filters: Processing Strong-Motion DataA New Attenuation Relation for Strong Ground Motion in Japan Based on Recorded DataEmpirical analysis of path effects on prediction equations of pseudo‐velocity response spectra in northern JapanEstimation of the Orientations of the S‐net Cabled Ocean‐Bottom Sensors断層タイプ及び地盤条件を考慮した最大加速度・最大速度の距離減衰式Recent progress of seismic observation networks in JapanHi-net and F-net and K-NET and KiK-netDevelopment and Utilization of Real-Time Tsunami Inundation Forecast System Using S-net Data東北日本弧の三次元<i>Q<sub>s</sub></i>値構造Analysis of Orientation Changes of S-Net Accelerometers due to Earthquake MotionsMOWLAS : NIED observation network for earthquake, tsunami and volcano“N”-shaped Y/X coda spectral ratio observed for in-line-type OBS networks; S-net and ETMC : interpretation based on natural vibration of pressure vessel
- 連携機関・データベース
- 国立情報学研究所 : CiNii Research
- 提供元機関・データベース
- Japan Link Center雑誌記事索引データベースCrossref
- 書誌ID（NDLBibID）
- 033747594