Characterized Source Model of Intraslab Earthquakes for Strong Ground Motion Prediction
Bibliographic Information
- Other Title
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- 強震動予測のためのスラブ内地震の特性化震源モデルの構築
- キョウシンドウ ヨソク ノ タメ ノ スラブ ナイ ジシン ノ トクセイカ シンゲン モデル ノ コウチク
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Abstract
We study characterized source model for the strong motion prediction of intraslab earthquakes in the same manner as crustal earthquakes (Somerville et al., 1999) and interplate earthquakes (Murotani et al., 2009). We characterized the heterogeneous slip distributions of 11 events with MW 6.6-8.3 and determined rupture area(S), total asperity area(Sa), and average slip(D)with following the procedure proposed by Somerville et al.(1999). Assuming power of 2/3 dependency of S and Sa on seismic moment and that of 1/3 for D, we got the empirical relationships as follows, S(km2 )= 6.57×10-11×M0 2/3(Nm) Sa(km2 )= 1.04×10-11×M0 2/3(Nm) D(cm)= 2.25×10-5×M0 2/3(Nm) The stress parameters on and off asperities are estimated as 28.9 MPa and 4.6 MPa, respectively, from the asperity model by Boatwright(1988). We also summarized size and position of strong motion generation area(SMGA, Miyake et al., 2003)for intraslab earthquakes by broad-band ground motion simulations. We found SMGA corresponds to the asperity and the size of SMGA is equivalent to or a little bit smaller than the asperity size. Based on these characteristics, we propose the characterized source model of intraslab earthquakes for strong ground motion prediction. We confirmed the procedure by simulating strong ground motions for the 2001 Geiyo earthquake(MW 6.8, hypocentral depth=46 km). Using these empirical relationships, we constructed the characterized source models for the 2001 Geiyo earthquake and simulated ground motions at strong motion observation sites using the empirical Green's function method.
Journal
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- 北海道大学地球物理学研究報告
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北海道大学地球物理学研究報告 73 129-135, 2010-03-19
北海道大学大学院理学研究院自然史科学部門(地球物理学)
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Details 詳細情報について
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- CRID
- 1390853649724426752
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- NII Article ID
- 120002662679
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- NII Book ID
- AN0008976X
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- HANDLE
- 2115/44464
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- NDL BIB ID
- 10663785
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- ISSN
- 04393503
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- Text Lang
- ja
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- Data Source
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- JaLC
- IRDB
- NDL
- CiNii Articles
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- Abstract License Flag
- Allowed