First result from the GEONET real-time analysis system (REGARD) : the case of the 2016 Kumamoto earthquakes

• Material Type: 記事
• Title: First result from the GEONET real-time analysis system (REGARD) : the case of the 2016 Kumamoto earthquakes
• Author/Editor: Satoshi Kawamoto; Yohei Hiyama; Yusaku Ohta
• Publication, Distribution, etc.: 日本 : Springer science+business media
• Publication Date: 2016-11-22
• Publication Date (W3CDTF): 2016-11-22
• Periodical title: EPS : Earth, Planets and Space
• No. or year of volume/issue: 68(190)
• Volume: 68(190)
• ISSN (Periodical Title): 1880-5981
• ISSN-L (Periodical Title): 1343-8832
• Text Language Code: eng
• DOI: 10.1186/s40623-016-0564-4; https://doi.org/10.1186/s40623-016-0564-4
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• Date Accepted (W3CDTF): 2017-01-25T12:55:04+09:00
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• Summary, etc.: We present the initial results of rapid fault estimations for the 2016 Kumamoto earthquake on April 16 (M j 7.3), and coseismic displacements caused by the two large foreshocks that occurred on April 14 (M j 6.5) and April 15 (M j 6.4) from the GEONET real-time analysis system (REGARD), which is based on a Global Navigation Satellite System (GNSS) kinematic positioning technique. The real-time finite-fault estimate (M w 6.85) was obtained within 1 min and converged to M w 6.96 within 5 min of the origin time of the mainshock (M j 7.3). The finite-fault estimate shows right-lateral strike-slip fault along the Futagawa fault segment, which is consistent with the finite-fault model inferred from post-processed GNSS and InSAR analysis. Furthermore, significant coseismic displacements were observed due to the April 14 and April 15 foreshocks at nearby sites, though these earthquakes were smaller than the pre-assigned system threshold. Our results also demonstrate the potential for the GNSS-based earthquake early warning system for inland earthquakes.
• DOI: 10.1186/s40623-016-0564-4; https://doi.org/10.1186/s40623-016-0564-4
• Access Restrictions: インターネット公開
• Rights (production): © 2016 The Author(s). This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
• Related Material (URI): http://hdl.handle.net/2433/218901; http://id.ndl.go.jp/digimeta/10267461; https://dl.ndl.go.jp/pid/10267461; http://link.springer.com/content/pdf/10.1186/s40623-016-0564-4.pdf; http://link.springer.com/article/10.1186/s40623-016-0564-4/fulltext.html
• Is Referenced By: On the use of tsunami-source data for high-resolution fault imaging of offshore earthquakes; https://cir.nii.ac.jp/crid/1360022304973152384; REGARD: A new GNSS‐based real‐time finite fault modeling system for GEONET; https://cir.nii.ac.jp/crid/1360283689327422592; Sensitivity Analysis for Seafloor Geodetic Constraints on Coseismic Slip and Interseismic Slip-Deficit Distributions; https://cir.nii.ac.jp/crid/1360861707128175488; GEONET as Infrastructure for Disaster Mitigation; https://cir.nii.ac.jp/crid/1390001288045013120; Role of Real-Time GNSS in Near-Field Tsunami Forecasting; https://cir.nii.ac.jp/crid/1390282763022369664; Prior and Real-Time Estimations of Ground Motions, Tsunamis, and Other Geodynamic Hazards; https://cir.nii.ac.jp/crid/1390283659860577024; Real-Time GNSS Analysis System REGARD: An Overview and Recent Results; https://cir.nii.ac.jp/crid/1390564237998440704; A GNSS Kinematic Analysis System for Japanese GEONET Stations; https://cir.nii.ac.jp/crid/1390564237998765568; Spatial and temporal characteristics of optimum process noise values of tropospheric parameters for kinematic analysis of Global Navigation Satellite System (GNSS) sites in Japan; https://cir.nii.ac.jp/crid/2050307416982638848; Real-time automatic uncertainty estimation of coseismic single rectangular fault model using GNSS data; https://cir.nii.ac.jp/crid/2050588892104447744; Comparison between the Hamiltonian Monte Carlo method and the Metropolis-Hastings method for coseismic fault model estimation; https://cir.nii.ac.jp/crid/2050870367085214464; Potential for crustal deformation monitoring using a dense cell phone carrier Global Navigation Satellite System network; https://cir.nii.ac.jp/crid/2051151842060093568; Rapid and quantitative uncertainty estimation of coseismic slip distribution for large interplate earthquakes using real-time GNSS data and its application to tsunami inundation prediction; https://cir.nii.ac.jp/crid/2051433317036804096
• References: Real-Time Strong-Motion Broadband Displacements from Collocated GPS and Accelerometers; https://cir.nii.ac.jp/crid/1360001113987586816; Development and Assessment of Real-Time Fault Model Estimation Routines in the GEONET Real-Time Processing System; https://cir.nii.ac.jp/crid/1360285705339442944; New, improved version of generic mapping tools released; https://cir.nii.ac.jp/crid/1360292617909532032; Surface deformation due to shear and tensile faults in a half-space; https://cir.nii.ac.jp/crid/1360292621388170624; Rapid Coseismic Fault Determination of Consecutive Large Interplate Earthquakes: The 2011 Tohoku-Oki Sequence; https://cir.nii.ac.jp/crid/1360567180316121472; A new seismogeodetic approach applied to GPS and accelerometer observations of the 2012 Brawley seismic swarm: Implications for earthquake early warning; https://cir.nii.ac.jp/crid/1360845538913790080; Quasi real‐time fault model estimation for near‐field tsunami forecasting based on RTK‐GPS analysis: Application to the 2011 Tohoku‐Oki earthquake (<i>M</i>_w 9.0); https://cir.nii.ac.jp/crid/1360846641639189888; Matplotlib: A 2D Graphics Environment; https://cir.nii.ac.jp/crid/1360855567865741440; Seismogeodesy of the 2014<i>M_w</i>6.1 Napa earthquake, California: Rapid response and modeling of fast rupture on a dipping strike‐slip fault; https://cir.nii.ac.jp/crid/1361418518868125568; Kinematic earthquake source inversion and tsunami runup prediction with regional geophysical data; https://cir.nii.ac.jp/crid/1362262945788685184; Near‐field tsunami models with rapid earthquake source inversions from land‐ and ocean‐based observations: The potential for forecast and warning; https://cir.nii.ac.jp/crid/1362544420019527040; Demonstration of the Cascadia G‐FAST Geodetic Earthquake Early Warning System for the Nisqually, Washington, Earthquake; https://cir.nii.ac.jp/crid/1362544420241252864; GPS for real-time earthquake source determination and tsunami warning systems; https://cir.nii.ac.jp/crid/1362544420666628096; Rapid modeling of the 2011 Mw 9.0 Tohoku‐oki earthquake with seismogeodesy; https://cir.nii.ac.jp/crid/1362825894385987456; Operational real‐time GPS‐enhanced earthquake early warning; https://cir.nii.ac.jp/crid/1363388843941636224; Earthquake Early Warning Starts Nationwide in Japan; https://cir.nii.ac.jp/crid/1363388844399914624; Real‐time inversion of GPS data for finite fault modeling and rapid hazard assessment; https://cir.nii.ac.jp/crid/1363670318248610944; Real‐time inversions for finite fault slip models and rupture geometry based on high‐rate GPS data; https://cir.nii.ac.jp/crid/1363670319774417664; A maximum likelihood approach to nonlinear inversion under constraints; https://cir.nii.ac.jp/crid/1363951795525913088; 隣接観測点の情報を用いたRTK-GPSによる地震時永久変位自動検知アルゴリズムの改良; https://cir.nii.ac.jp/crid/1390001204067302144; 地震学における応力インバージョンの新展開; https://cir.nii.ac.jp/crid/1390001204303052160
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