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Strong motion prediction using empirical Green's tensor spatial derivatives

Research Project

Project/Area Number 16K01316
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Natural disaster / Disaster prevention science
Research InstitutionUniversity of Fukui

Principal Investigator

Ohori Michihiro  福井大学, 附属国際原子力工学研究所, 准教授 (50419272)

Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2018: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2017: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Keywords経験的グリーン・テンソル法 / 強震動予測 / モーメント・テンソル / 経験的グリーン関数法 / 震源モデル / 経験的グリーン・テンソル / 震源メカニズム / 経験的グリーン関数 / 地下構造モデル
Outline of Final Research Achievements

To make the empirical Green's tensor spatial derivative (EGTD) method one of useful techniques for strong motion prediction, I carried out a basic study focusing on (1) increasing applilied examples, (2) simulating broadband strong motions, (3) comparing results from the EGTD method with those from the empirical Green's function method, and (4) publishing research results.

Academic Significance and Societal Importance of the Research Achievements

福井県嶺南地方の地震、兵庫県北部の地震、東北地方太平洋沖地震の余震を対象として、強震観測記録を用いて、経験的グリーン・テンソルの推定を試みた。広帯域(周期0.1秒以上)における経験的グリーン・テンソルを推定するために、マグニチュードの分布範囲が広い場合には各小地震のコーナー周波数の違いを補正した。その結果、経験的グリーン・テンソルの推定に伴う誤差を小さく抑えることができた。

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (11 results)

All 2018 2017 2016

All Journal Article (5 results) (of which Peer Reviewed: 5 results,  Open Access: 3 results) Presentation (4 results) (of which Int'l Joint Research: 1 results) Book (2 results)

  • [Journal Article] Estimation of Empirical Green's Tensor Spatial Derivative Elements: A Preliminary Study Using Strong Motion Records in Southern Fukui Prefecture, Japan2018

    • Author(s)
      Ohori Michihiro
    • Journal Title

      Moment Tensor Solutions. Springer Natural Hazards

      Volume: 1 Pages: 253-262

    • DOI

      10.1007/978-3-319-77359-9_11

    • ISBN
      9783319773582, 9783319773599
    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Strong Motion Simulation of the 2001 Geiyo (MJ6.7), Japan, Earthquake by Empirical Methods2018

    • Author(s)
      Ohori Michihiro
    • Journal Title

      11th National Conference on Earthquake Engineering

      Volume: 1 Pages: 1-10

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Simulation of Broadband Strong Motion Based on the Empirical Green's Spatial Derivative Method2018

    • Author(s)
      Ohori Michihiro
    • Journal Title

      Earthquakes, InTech

      Volume: 1 Pages: 92-104

    • DOI

      10.5772/intechopen.76884

    • ISBN
      9781789239492, 9781789239508
    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Tsunami Hazard Assessment for the Hokuriku Region, Japan: Toward Disaster Mitigation for Future Earthquakes2018

    • Author(s)
      Ohori Michihiro、Masukawa Yuri、Kojima Keisuke
    • Journal Title

      Natural Hazards - Risk Assessment and Vulnerability Reduction, InTech

      Volume: 1 Pages: 135-152

    • DOI

      10.5772/intechopen.79688

    • ISBN
      9781789848205, 9781789848212
    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Strong Motion Simulation of the 2001 Geiyo (MJ6.7), Japan, Earthquake by Empirical Methods2018

    • Author(s)
      Michihiro Ohori
    • Journal Title

      Proceedings of the 11th U.S. National Conference on Earthquake Engineering

      Volume: 1 Pages: 1-10

    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Presentation] Estimation of Empirical Green's Tensor Spatial Derivative Elements: A Preliminary Study using Strong Motion Records in Southern Fukui Prefecture, Japan2017

    • Author(s)
      Michihiro Ohori
    • Organizer
      IAG-IASPEI2017
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] 経験的グリーン・テンソルの推定:福井県嶺南地方で得られた強震記録を用いた試み2017

    • Author(s)
      大堀道広
    • Organizer
      日本地震学会201年度秋季大会
    • Related Report
      2017 Research-status Report
  • [Presentation] Estimation of Empirical Green’s Tensor Spatial Derivative Elements: A Preliminary Study using Strong Motion Records in Southern Fukui Prefecture, Japan2016

    • Author(s)
      Michihiro Ohori
    • Organizer
      5th IASPEI / IAEE International Symposium: Effects of Surface Geology on Seismic Motion
    • Place of Presentation
      台北国際会議場(台湾)
    • Year and Date
      2016-08-15
    • Related Report
      2016 Research-status Report
  • [Presentation] 経験的グリーン・テンソルの推定 -福井県嶺南地方で得られた強震記録を用いた試み2016

    • Author(s)
      大堀道広
    • Organizer
      日本地球惑星科学連合2016年大会
    • Place of Presentation
      幕張メッセ(千葉市美浜区)
    • Year and Date
      2016-05-23
    • Related Report
      2016 Research-status Report
  • [Book] Chapter 11: Comparison of the Empirical Green's Spatial Derivative Method and Empirical Green’s Function Method in Simulation of Broadband Strong Motion, Moment Tensor Solutions - A Useful Tool for Seismotectonics (ed. D'Amico Sebastiano)2018

    • Author(s)
      Michihiro Ohori
    • Total Pages
      10
    • Publisher
      Springer International Publishing
    • ISBN
      9783319773582
    • Related Report
      2017 Research-status Report
  • [Book] Chapter: Comparison of the Empirical Green's Spatial Derivative Method and Empirical Green's function Method in Simulation of Broadband Strong Motion, in Earthquakes, Volume 1 (Ed. Valentina Svalova)2018

    • Author(s)
      Michihiro Ohori
    • Total Pages
      15
    • Publisher
      InTech
    • ISBN
      9789535160472
    • Related Report
      2017 Research-status Report

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Published: 2016-04-21   Modified: 2020-03-30  

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