Some Observations on Colocated and Closely Spaced Strong Ground-Motion Records of the 1999 Chi-Chi, Taiwan, Earthquake

2003 ◽  
Vol 93 (2) ◽  
pp. 674-693 ◽  
Author(s):  
G.-Q. Wang
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Ground Motion Records ◽  
Taiwan Earthquake ◽  
Strong Ground

Strong Ground Motion and Pulse‐Like Velocity Observations in the Near‐Fault Region of the 2018 Mw 6.4 Hualien, Taiwan, Earthquake

2018 ◽  
Vol 90 (1) ◽  
pp. 40-50 ◽  
Author(s):  
Chun‐Hsiang Kuo ◽  
Jyun‐Yan Huang ◽  
Che‐Min Lin ◽  
Ting‐Yu Hsu ◽  
Shu‐Hsien Chao ◽  
...  
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Near Fault ◽  
Fault Region ◽  
Taiwan Earthquake ◽  
Strong Ground

FUZZY PATTERN CLASSIFICATION OF STRONG GROUND MOTION RECORDS

2005 ◽  
Vol 9 (3) ◽  
pp. 307-332 ◽  
Author(s):  
ARZHANG ALIMORADI ◽  
SHAHRAM PEZESHK ◽  
FARZAD NAEIM ◽  
HICHEM FRIGUI
Keyword(s):  
Ground Motion ◽  
Pattern Classification ◽  
Strong Ground Motion ◽  
Fuzzy Pattern ◽  
Ground Motion Records ◽  
Strong Ground

A Flatfile for the KiK-net Database Processed Using an Automated Protocol

2016 ◽  
Vol 32 (2) ◽  
pp. 1281-1302 ◽  
Author(s):  
Haitham M. Dawood ◽  
Adrian Rodriguez-Marek ◽  
Jeff Bayless ◽  
Christine Goulet ◽  
Eric Thompson
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Corner Frequency ◽  
Spectral Acceleration ◽  
Engineering Applications ◽  
Ground Motion Records ◽  
Automated Protocol ◽  
High Pass ◽  
Strong Ground ◽  
Selection Of

The Kiban-Kyoshin network (KiK-net) database is an important resource for ground motion (GM) studies. The processing of the KiK-net records is a necessary first step to enable their use in engineering applications. In this manuscript we present a step-by-step automated protocol used to systematically process about 157,000 KiK-net strong ground motion records. The automated protocol includes the selection of the corner frequency for high-pass filtering. In addition, a comprehensive set of metadata was compiled for each record. As a part of the metadata collection, two algorithms were used to identify dependent and independent earthquakes. Earthquakes are also classified into active crustal or subduction type events; most of the GM records correspond to subduction type earthquakes. A flatfile with all the metadata and the spectral acceleration of the processed records is uploaded to NEEShub ( https://nees.org/resources/7849 , Dawood et al. 2014 ).

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