Time-independent forecast model for large crustal earthquakes in southwest Japan using GNSS data

• Material Type: 記事
• Title: Time-independent forecast model for large crustal earthquakes in southwest Japan using GNSS data
• Author/Editor: Takuya Nishimura
• Publication, Distribution, etc.: 日本 : Springer Nature
• Publication Date: 2022-04-22
• Publication Date (W3CDTF): 2022-04-22
• Periodical title: EPS : Earth, Planets and Space
• No. or year of volume/issue: 74(58)
• Volume: 74(58)
• ISSN (Periodical Title): 1880-5981
• ISSN-L (Periodical Title): 1343-8832
• Text Language Code: eng
• DOI: 10.1186/s40623-022-01622-5; https://doi.org/10.1186/s40623-022-01622-5
• Persistent ID (NDL): info:ndljp/pid/12287126; https://dl.ndl.go.jp/pid/12287126
• Collection: 障害者向け資料
• Collection (Materials For Handicapped People:1): テキストデータ
• Collection (particular): 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; https://dl.ndl.go.jp/collections/B00035
• Acquisition Basis: オンライン資料収集制度
• Date Accepted (W3CDTF): 2022-05-18T20:14:28+09:00
• Date Captured (W3CDTF): 2022-04-27
• Format (IMT): application/pdf
• Access Restrictions: 国立国会図書館内限定公開
• Service for the Digitized Contents Transmission Service: 図書館・個人送信対象外
• Availability of remote photoduplication service: 可
• Periodical Title (URI): https://earth-planets-space.springeropen.com/articles
• Periodical Title (Persistent ID (NDL)): info:ndljp/pid/12287068; https://dl.ndl.go.jp/pid/12287068
• Data Provider (Database): 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• Summary, etc.: In this study, we developed a regional likelihood model for crustal earthquakes using geodetic strain-rate data from southwest Japan. First, the smoothed strain-rate distributions were estimated from continuous Global Navigation Satellite System (GNSS) measurements. Second, we removed the elastic strain rate attributed to interplate coupling on the subducting plate boundary, including the observed strain rate, under the assumption that it is not attributed to permanent loading on crustal faults. We then converted the geodetic strain rates to seismic moment rates and calculated the 30-year probability for M ≥ 6 earthquakes in 0.2 × 0.2° cells, using a truncated Gutenberg–Richter law and time-independent Poisson process. Likelihood models developed using different conversion equations, seismogenic thicknesses, and rigidities were validated using the epicenters and moment distribution of historical earthquakes. The average seismic moment rate of crustal earthquakes recorded during 1586–2020 was only 13–20% of the seismic moment rate converted from the geodetic data, which suggests that the observed geodetic strain rate includes considerable inelastic strain. Therefore, we introduced an empirical coefficient to calibrate the moment rate converted from geodetic data with the moment rate of the earthquakes. Several statistical scores and the Molchan diagram showed all models could predict real earthquakes better than the reference model, in which earthquakes occur uniformly in space. Models using principal horizontal strain rates exhibited better predictive skill than those using the maximum horizontal shear strain rate. There were no significant differences in predictive skill between uniform and variable distributions for seismogenic thickness and rigidity. The preferred models suggested high 30-year probability in the Niigata–Kobe Tectonic Zone and central Kyushu, exceeding 1% in more than half of the analyzed region. The model predictive skill was also verified by a prospective test using earthquakes recorded during 2010–2020. This study suggests that the proposed forecast model based on geodetic data can improve the regional likelihood model for crustal earthquakes in Japan in combination with other forecast models based on active faults and seismicity.
• DOI: 10.1186/s40623-022-01622-5; https://doi.org/10.1186/s40623-022-01622-5; 10.21203/rs.3.rs-1120373/v1; https://doi.org/10.21203/rs.3.rs-1120373/v1
• Access Restrictions: インターネット公開
• Rights (production): © The Author(s) 2022.; This 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.
• Related Material (URI): http://hdl.handle.net/2433/274586; http://id.ndl.go.jp/digimeta/12287126; https://dl.ndl.go.jp/pid/12287126; https://link.springer.com/content/pdf/10.1186/s40623-022-01622-5.pdf; https://link.springer.com/article/10.1186/s40623-022-01622-5/fulltext.html
• Is Referenced By: Geodetic data inversion to estimate a strain-rate field by introducing sparse modeling; https://cir.nii.ac.jp/crid/1050866882758946304; Evaluation of earthquake potential using a kinematic crustal block motion model in Java, Indonesia, based on GNSS observation; https://cir.nii.ac.jp/crid/1360865816799207168; Chief Research Achievements of the Earthquake Long-Term Forecast Panel During 2019–2023; https://cir.nii.ac.jp/crid/1390303697454388480
• Data Provider (Database): 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• Original Data Provider (Database): 学術機関リポジトリデータベース; https://irdb.nii.ac.jp; 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; Crossref; https://www.crossref.org
• Bibliographic ID (NDL): 12287126; http://id.ndl.go.jp/bib/12287126