Kappa(κ) from Records of Small Earthquakes in North China

2014 ◽  
Vol 1065-1069 ◽  
pp. 1469-1473
Author(s):  
Zheng Ru Tao ◽  
Xia Xin Tao ◽  
Wen Qian Li
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
North China ◽  
Fourier Spectrum ◽  
Focal Depth ◽  
Mean Value ◽  
Small Earthquake ◽  
Ground Motion Records ◽  
Seismograph Network ◽  
Strong Ground

At high frequencies, there is an obvious descending of Fourier spectrum amplitude of ground motion acceleration. This fact could be described by a low0pass filter that is controlled by parameter Kappa (κ). In most regions of the world, there are not sufficient strong ground motion records to evaluate this regional parameter. We try to acquire κ value from small-earthquake records of the broadband digital seismograph network in North China (36°-43°N, 113°-120°E). Total 1995 records from 28 small earthquakes (Mw=3.5-4.5) recorded at 155 stations of China Earthquake Network during February of 2002 to September of 2012, are analyzed. The κ value is acquired from the slope rate of the decay segment of the calculated Fourier spectrum of each record, and the mean value is obtained. The result is analyzed if κ is magnitude, focal depth or distance dependent. For the magnitude-dependence, κ values of 40 strong ground motion records are also obtained and compared. The result of the paper shows that κ is not magnitude-dependent neither focal depth-dependent. The distance-dependent is not obvious, especially for small earthquake.

scholarly journals Strong ground motion prediction for southwestern China from small earthquake records

2015 ◽  
Vol 3 (9) ◽  
pp. 5297-5323
Author(s):  
Z. R. Tao ◽  
X. X. Tao ◽  
A. P. Cui
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Near Field ◽  
Seismic Hazard Assessment ◽  
Southwestern China ◽  
Small Earthquake ◽  
Earthquake Records ◽  
Strong Ground Motion Prediction ◽  
Ground Motion Records ◽  
Strong Ground

Abstract. For regions lack of strong ground motion records, a method is developed to predict strong ground motion by small earthquake records from local broadband digital earthquake networks. Sichuan and Yunnan regions, located in southwestern China, are selected as the targets. Five regional source and crustal medium parameters are inversed by micro-Genetic Algorithm. These parameters are adopted to predict strong ground motion for moment magnitude (Mw) 5.0, 6.0 and 7.0. Strong ground motion data are compared with the results, most of the result pass through ideally the data point plexus, except the case of Mw 7.0 in Sichuan region, which shows an obvious slow attenuation. For further application, this result is adopted in probability seismic hazard assessment (PSHA) and near-field strong ground motion synthesis of the Wenchuan Earthquake.

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 ).

The importance of surface waves in strong ground-motion

1977 ◽  
Vol 10 (4) ◽  
pp. 170-173
Author(s):  
W. D. Smith
Keyword(s):  
New Zealand ◽  
Surface Waves ◽  
Ground Motion ◽  
Rayleigh Waves ◽  
Regional Variation ◽  
Strong Ground Motion ◽  
Focal Depth ◽  
Qualitative Explanation ◽  
S Wave ◽  
Strong Ground

Surface waves, when present in strong ground-motion, may contribute more to the Modified Mercalli intensity and to damage than does the S wave, even if the S wave contains higher accelerations. This gives a qualitative explanation for the observed regional variation in the felt effects of earthquakes in New Zealand, by assuming a regional variation in the predominant focal depth and hence in the amplitudes of the Love and Rayleigh waves that are excited.

scholarly journals Study on Liquefaction Detective Method Using Strong Ground Motion Records.

2000 ◽  
pp. 405-414 ◽  
Author(s):  
Masakatsu MIYAJIMA ◽  
Satoru NOZU ◽  
Masaru KITAURA ◽  
Masaki YAMAMOTO
Keyword(s):  
Ground Motion ◽  
Strong Ground Motion ◽  
Ground Motion Records ◽  
Strong Ground
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