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JDR Vol.14 No.3 pp. 435-444
(2019)
doi: 10.20965/jdr.2019.p0435

Paper:

Cluster Analysis of the Long-Period Ground-Motion Simulation Data: Application of the Sagami Trough Megathrust Earthquake Scenarios

Takahiro Maeda*,†, Hiroyuki Fujiwara*, Sho Akagi**, and Toshihiko Hayakawa**

*National Research Institute for Earth Science and Disaster Resilience (NIED)
3-1 Tennodai, Tsukuba, Ibaraki 305-0006, Japan

Corresponding author

**Mitsubishi Space Software Co., Ltd., Ibaraki, Japan

Received:
November 9, 2018
Accepted:
February 1, 2019
Published:
March 28, 2019
Keywords:
long-period ground motion simulation, principal component analysis, clustering, Sagami Trough
Abstract

A clustering method that classifies earthquake scenarios and the local area on the basis of similarities in the spatial distribution of ground motion was applied to long-period ground-motion data computed by a seismic wave propagation simulation. The simulation utilized a large number of seismic source models and a three-dimensional velocity structure model in which megathrust earthquakes in the Sagami Trough were assumed. The relationship between the clusters, earthquake scenario parameters, and the velocity structure model was examined. In addition, the relationship between the earthquake scenario clusters for a case in which actual strong-motion observation points were treated as a mesh and those for a case in which an entire set of meshes was investigated, and a spatial interpolation method that estimated a ground-motion distribution from strong-motion observation data was examined.

Cite this article as:
T. Maeda, H. Fujiwara, S. Akagi, and T. Hayakawa, “Cluster Analysis of the Long-Period Ground-Motion Simulation Data: Application of the Sagami Trough Megathrust Earthquake Scenarios,” J. Disaster Res., Vol.14, No.3, pp. 435-444, 2019.
Data files:
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Last updated on May. 20, 2019