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A new standard seismicity model with the mixture of statistical and physical models to contribute towards the earthquake forecasting system

Research Project

Project/Area Number 16K00054
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Statistical science
Research InstitutionPrefectural University of Hiroshima (2019)
Tokiwa University (2016-2018)

Principal Investigator

Iwata Takaki  県立広島大学, 公私立大学の部局等(庄原キャンパス), 准教授 (30418991)

Project Period (FY) 2016-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2019: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2017: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Keywords点過程解析 / 地震 / 時空間モデル / 地震活動度 / ベイズ統計 / b値 / 応力 / 統計科学 / 固体地球物理学 / 統計数学 / ベイズモデル
Outline of Final Research Achievements

To contribute towards the development of a probabilistic earthquake forecasting system in the future, this research project aimed to improve the seismicity model, which is currently considered as a standard one, and propose a new standard model. To model the temporal pattern of earthquake occurrence, a mixture model of a statistical (or empirical) model and a physical one has been constructed. This model exhibits better performance than the current standard model, in particular for swarm-type earthquake sequences. In the modeling of the spatiotemporal pattern of earthquake occurrence, appropriate flexibility was provided to a pre-existing physical model. Consequently, more realistic modeling has been achieved.

Academic Significance and Societal Importance of the Research Achievements

本研究の大きな成果の1つは、従来の標準的地震活動モデルに比べて、よい適合性を示す地震活動モデルを提案出来たことである。これは、地震活動予測の将来展開に対する寄与が大きく、地震災害軽減へと繋がる社会的意義がある。また、予測困難な地震活動の中でも群発地震活動は特に複雑な発生パターンを示すものであり、これに対してモデル改善をなし得たことは、地震発生の背景にある複雑な物理機構の解明へと貢献し得る異議もある。

Report

(5 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Research-status Report
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (11 results)

All 2020 2019 2018 2017 Other

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

  • [Int'l Joint Research] GNS Science(ニュージーランド)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] GNS Science(ニュージーランド)

    • Related Report
      2018 Research-status Report
  • [Int'l Joint Research] GNS Scinece(ニュージーランド)

    • Related Report
      2017 Research-status Report
  • [Int'l Joint Research] GNS Science(ニュージーランド)

    • Related Report
      2016 Research-status Report
  • [Journal Article] Stress Tensor Inversion Using Seismological Data2019

    • Author(s)
      岩田貴樹, 吉田圭佑, 深畑幸俊
    • Journal Title

      Journal of Geography (Chigaku Zasshi)

      Volume: 128 Issue: 5 Pages: 797-811

    • DOI

      10.5026/jgeography.128.797

    • NAID

      130007745829

    • ISSN
      0022-135X, 1884-0884
    • Year and Date
      2019-10-25
    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] A Bayesian approach to estimating a spatial stress pattern from P-wave first-motions2018

    • Author(s)
      Iwata, T.
    • Journal Title

      Journal of Geophysical Research

      Volume: 印刷中 Issue: 6 Pages: 4841-4858

    • DOI

      10.1002/2017jb015359

    • Related Report
      2018 Research-status Report 2017 Research-status Report
    • Peer Reviewed
  • [Presentation] 余震活動の時空間モデリングにおける空間カーネルの改良2020

    • Author(s)
      岩田貴樹
    • Organizer
      第2回固体地球データ同化に関する研究会
    • Related Report
      2019 Annual Research Report
  • [Presentation] An application of Bayesian estimation of spatial stress pattern to San-in region, Japan2019

    • Author(s)
      Takaki Iwata, and Yoshihisa Iio
    • Organizer
      The 11th International Statistical Seismology Workshop (Statsei11)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 山陰地方の空間応力パターン推定:高解像度解析に向けた予備的解析2019

    • Author(s)
      岩田貴樹, 飯尾能久
    • Organizer
      日本地震学会2019年度秋季大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 摩擦構成則に基づく余震活動の時空間モデル2019

    • Author(s)
      岩田貴樹
    • Organizer
      CSEP-Japan研究集会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Mixture of a rate- and state-dependent seismicity and the ETAS models and its application to earthquake swarms2017

    • Author(s)
      Takaki Iwata
    • Organizer
      The 10th International Workshop on Statistical Seismology
    • Place of Presentation
      Te Papa Tongarewa(ウェリントン、ニュージーランド)
    • Year and Date
      2017-02-20
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research

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Published: 2016-04-21   Modified: 2021-02-19  

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