XYtracker : a new approach to estimate fault rupture extent in real time for large earthquakes
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DOI[10.1186/s40623-022-01650-1]のデータに遷移します
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- 資料種別
- 記事
- 著者・編者
- Ying XiaoMasumi Yamada
- 出版年月日等
- 2022-05-26
- 出版年（W3CDTF）
- 2022-05-26
- タイトル（掲載誌）
- EPS : Earth, Planets and Space
- 巻号年月日等（掲載誌）
- 74(77)
- 掲載巻
- 74(77)
- ISSN（掲載誌）
- 1880-5981
- ISSN-L（掲載誌）
- 1343-8832
- 本文の言語コード
- eng
- DOI
- 10.1186/s40623-022-01650-1
- 国立国会図書館永続的識別子
- info:ndljp/pid/12685364
- コレクション（共通）
- コレクション（障害者向け資料：レベル1）
- コレクション（個別）
- 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他
- 収集根拠
- オンライン資料収集制度
- 受理日（W3CDTF）
- 2023-03-07T16:17:01+09:00
- 保存日（W3CDTF）
- 2023-03-07
- 記録形式（IMT）
- application/pdf
- オンライン閲覧公開範囲
- 国立国会図書館内限定公開
- デジタル化資料送信
- 図書館・個人送信対象外
- 遠隔複写可否（NDL）
- 可
- 掲載誌（国立国会図書館永続的識別子）
- info:ndljp/pid/12287068
- 連携機関・データベース
- 国立国会図書館 : 国立国会図書館デジタルコレクション
- 要約等
- We present a methodology for estimating fault geometry and utilizing the distance to the fault for the shaking estimation to improve the accuracy of real-time shaking estimates for large earthquakes. Most of the earthquake early warning system currently estimates the seismic intensity with the ground-motion prediction equations (GMPE) as a function of the hypocenter distance. However, using the fault distance computed from a finite source model can improve the accuracy of the shaking intensity estimation for large earthquakes. This study proposes a novel methodology, XYtracker, to estimate the surface projection of the fault extent and real-time seismic intensity. For large earthquakes, high-frequency ground motions tend to saturate over the magnitude range and strongly correlate with fault distance. As a result, this work can achieve the fault extent using seismic intensity and GMPE. We considered three types of fault models: point-source, line-source, and rectangle-source model. We found the most probable model parameters for each model by minimizing the residual sum of squares between the observed and estimated seismic intensities. The Akaike Information Criterion selected the most probable model among them. The strong motion data set of the 2008 Wenchuan, 2011 Tohoku, and 2016 Kumamoto earthquakes was used to test our methodology. The new method for estimating the fault geometry can obtain the ongoing rupture length and direction using the strong motion data. The model selection scheme with the Akaike Information Criterion selected the finite-source model to explain the shaking distribution. Results revealed that this new approach performed well in estimating the fault dimension. The method can promote the accuracy of the seismic intensity estimation for future large earthquakes, including the subduction earthquakes.
- DOI
- 10.1186/s40623-022-01650-1
- オンライン閲覧公開範囲
- インターネット公開
- 著作権情報
- © The Author(s) 2022This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
- 関連情報（URI）
- 参照
- Performance of the earthquake early warning system for the 2024 Noto Peninsula earthquake
- 参照
- Source rupture processes of the foreshock and mainshock in the 2016 Kumamoto earthquake sequence estimated from the kinematic waveform inversion of strong motion dataNumerical Shake Prediction for Earthquake Early Warning: Data Assimilation, Real‐Time Shake Mapping, and Simulation of Wave PropagationA new look at the statistical model identificationREAL-TIME SEISMOLOGY AND EARTHQUAKE DAMAGE MITIGATIONFault Extent Estimation for Near-Real-Time Ground-Shaking Map Computation PurposesEarthquake early warning: Concepts, methods and physical groundsThe Propagation of Local Undamped Motion (PLUM) Method: A Simple and Robust Seismic Wavefield Estimation Approach for Earthquake Early WarningEstimating Rupture Dimensions of Three Major Earthquakes in Sichuan, China, for Early Warning and Rapid Loss EstimatesProgress on Development of an Earthquake Early Warning System Using Low-Cost SensorsReal-Time Estimation of Fault Rupture Extent Using Envelopes of AccelerationReal-time Finite Fault Rupture Detector (FinDer) for large earthquakesPeak horizontal acceleration and velocity from strong-motion records including records from the 1979 imperial valley, California, earthquakeReal-Time Estimation of Fault Rupture Extent Using Near-Source versus Far-Source ClassificationRegionally Adjustable Generic Ground‐Motion Prediction Equation Based on Equivalent Point‐Source Simulations: Application to Central and Eastern North AmericaThe Status of Earthquake Early Warning around the World: An Introductory OverviewThe Potential for Earthquake Early Warning in Southern CaliforniaFinDer v.2: Improved real-time ground-motion predictions for M2–M9 with seismic finite-source characterizationOn the estimation of seismic intensity in earthquake early warning systemsA New Method of Quickly Estimating Epicentral Distance and Magnitude from a Single Seismic RecordFinite-Fault Rupture Detector (<i>FinDer</i>): Going Real-Time in Californian<i>ShakeAlert</i>Warning SystemEarthquake Early Warning Starts Nationwide in JapanEmpirical Response Spectral Attenuation Relations for Shallow Crustal EarthquakesOptimizing Earthquake Early Warning Performance: ElarmS‐3震度のリアルタイム演算に用いられる近似フィルタの改良Fault Length and Direction of Rupture Propagation for the 1993 Kushiro-Oki Earthquake as Derived from Strong Motion Duration.NIED KiK-netFocal mechanism and slip history of the 2011 Mw 9.1 off the Pacific coast of Tohoku Earthquake, constrained with teleseismic body and surface waves
- 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
- 学術機関リポジトリデータベース雑誌記事索引データベースCrossref科学研究費助成事業データベースCrossref
- 書誌ID（NDLBibID）
- 12685364