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電子書籍・電子雑誌EPS : Earth, Planets and Space
巻号69
Applicabil...

Applicability of source scaling relations for crustal earthquakes to estimation of the ground motions of the 2016 Kumamoto earthquake

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Applicability of source scaling relations for crustal earthquakes to estimation of the ground motions of the 2016 Kumamoto earthquake

国立国会図書館請求記号
Z17-629
国立国会図書館書誌ID
10319661
国立国会図書館永続的識別子
info:ndljp/pid/10319661
資料種別
記事
著者
Kojiro Irikuraほか
出版者
Springer Nature
出版年
2017-01-03
資料形態
紙・デジタル
掲載誌名
EPS : Earth, Planets and Space 69(10)
掲載ページ
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要約等:

A two-stage scaling relationship of the source parameters for crustal earthquakes in Japan has previously been constructed, in which source parameters...

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デジタル

資料種別
記事
著者・編者
Kojiro Irikura
Ken Miyakoshi
Katsuhiro Kamae
出版年月日等
2017-01-03
出版年(W3CDTF)
2017-01-03
タイトル(掲載誌)
EPS : Earth, Planets and Space
巻号年月日等(掲載誌)
69(10)
掲載巻
69(10)
ISSN(掲載誌)
1880-5981
ISSN-L(掲載誌)
1343-8832
本文の言語コード
eng
国立国会図書館永続的識別子
info:ndljp/pid/10319661
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)
2017-04-04T20:19:14+09:00
保存日(W3CDTF)
2017-03-24
記録形式(IMT)
application/pdf
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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)
掲載誌(国立国会図書館永続的識別子)
info:ndljp/pid/10319651
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

デジタル

要約等
A two-stage scaling relationship of the source parameters for crustal earthquakes in Japan has previously been constructed, in which source parameters obtained from the results of waveform inversion of strong motion data are combined with parameters estimated based on geological and geomorphological surveys. A three-stage scaling relationship was subsequently developed to extend scaling to crustal earthquakes with magnitudes greater than M w 7.4. The effectiveness of these scaling relationships was then examined based on the results of waveform inversion of 18 recent crustal earthquakes (M w 5.4–6.9) that occurred in Japan since the 1995 Hyogo-ken Nanbu earthquake. The 2016 Kumamoto earthquake, with M w 7.0, was one of the largest earthquakes to occur since dense and accurate strong motion observation networks, such as K-NET and KiK-net, were deployed after the 1995 Hyogo-ken Nanbu earthquake. We examined the applicability of the scaling relationships of the source parameters of crustal earthquakes in Japan to the 2016 Kumamoto earthquake. The rupture area and asperity area were determined based on slip distributions obtained from waveform inversion of the 2016 Kumamoto earthquake observations. We found that the relationship between the rupture area and the seismic moment for the 2016 Kumamoto earthquake follows the second-stage scaling within one standard deviation (σ = 0.14). The ratio of the asperity area to the rupture area for the 2016 Kumamoto earthquake is nearly the same as ratios previously obtained for crustal earthquakes. Furthermore, we simulated the ground motions of this earthquake using a characterized source model consisting of strong motion generation areas (SMGAs) based on the empirical Green’s function (EGF) method. The locations and areas of the SMGAs were determined through comparison between the synthetic ground motions and observed motions. The sizes of the SMGAs were nearly coincident with the asperities with large slip. The synthetic ground motions obtained using the EGF method agree well with the observed motions in terms of acceleration, velocity, and displacement within the frequency range of 0.3–10 Hz. These findings indicate that the 2016 Kumamoto earthquake is a standard event that follows the scaling relationship of crustal earthquakes in Japan.
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インターネット公開
著作権情報
© The Author(s) 2017. 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.
参照
Novel Unsupervised Classification of Collapsed Buildings Using Satellite Imagery, Hazard Scenarios and Fragility Functions
Strong ground motion simulations of the 2016 Kumamoto earthquakes using corrected empirical Green’s functions: methods and results for ESG6 blind prediction Steps 2 and 3 with improved parameters
強震観測記録に基づく2016年熊本地震の広帯域震源特性
内陸地殻内地震の3ステージモデルに適合した短周期レベルのスケーリング則の提案
活断層で発生する地震のアスペリティモデルの設定に用いる断層面積の算定方法の違いが断層パラメータと予測強震動に及ぼす影響
2016年熊本地震における大振幅速度パルスの解釈と断層近傍地震動に対する浅部・深部断層破壊の影響
EXAMINATION OF AVERAGED STRESS DROP EQUATIONS CONNECTING OUTER AND INNER FAULT PARAMETERS FOR STRONG MOTION PREDECTION
強震動と永久変位の再現と予測のための断層モデルに関する研究のレビュー
異なる手法による日本の地殻内地震の短周期レベルの比較
2016年熊本地震を対象とした震源断層近傍における強震動評価手法に関する検討
EFFECTS OF DIFFERENT WAYS OF COUNTING FAULT AREA FOR ASPERITY MODEL OF CRUSTAL EARTHQUAKES ON FAULT PARAMETERS AND PREDICTED STRONG GROUND MOTIONS
内陸で発生した歴史地震の震度データに基づく断層モデルの構築
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 data
Scaling Relations of Source Parameters of Earthquakes Occurring on Inland Crustal Mega-Fault Systems
Source Characterization for Broadband Ground-Motion Simulation: Kinematic Heterogeneous Source Model and Strong Motion Generation Area
New empirical relationships among magnitude, rupture length, rupture width, rupture area, and surface displacement
Comparison of Earthquake Scaling Relations Derived from Data of the Instrumental and Preinstrumental Era
Source model of the 1995 Hyogo-Ken Nanbu earthquake and simulation of near-source ground motion
Recipe for Predicting Strong Ground Motion from Crustal Earthquake Scenarios
Tectonic stress and the spectra of seismic shear waves from earthquakes
Correction [to “Tectonic stress and the spectra, of seismic shear waves from earthquakes”]
Small and Large Earthquakes: The Effects of the Thickness of Seismogenic Layer and the Free Surface
Characterizing Crustal Earthquake Slip Models for the Prediction of Strong Ground Motion
Selection of Earthquake Scaling Relationships for Seismic-Hazard Analysis
地震災害を考える  予測と対策  シナリオ地震の強震動予測
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国立情報学研究所 : CiNii Research
書誌ID(NDLBibID)
10319661
NII論文ID
120006305824