This article presents a database of ground motions parameters for earthquakes recorded in Japan by the Kiban Kyoshin network (KiK-net). The database includes all earthquakes in the KiK-net website with magnitude larger than three and recorded between 1996 and the end of 2017. In addition to the information KiK-net provides for each event, we have enriched the database using moment tensor solutions provided by the F-net website and, when available, finite-fault source models from the literature. Various distance measures are computed for each ground motion, including estimates of rupture distance for sufficiently large events, including those with finite-fault source models. Each ground motion is processed using an automated algorithm. Several intensity measures (i.e. spectral acceleration, smoothed and down-sampled Fourier amplitude, Arias intensity, and duration measures) of the processed ground motions are presented in the database. Intensity measures are computed both for surface and borehole records. Finally, the database includes parameters for the recording sites based on shear wave velocity profiles provided by KiK-net.
AllenTIHayesGP (2017) Alternative rupture-scaling relationships for subduction interface and other offshore environments. Bulletin of the Seismological Society of America107(3): 1240–1253.
2.
AsanoK (2018) Source modeling of an M W 5.9 earthquake in the Nankai trough, Southwest Japan, using offshore and onshore strong-motion waveform records. Bulletin of the Seismological Society of America108(3A): 1231–1239.
3.
AsanoKIwataT (2006) Source process and near-source ground motions of the 2005 west off Fukuoka prefecture earthquake. Earth, Planets and Space58(1): 93–98.
4.
AsanoKIwataT (2009) Source rupture process of the 2004 Chuetsu, Mid-Niigata prefecture, Japan, earthquake inferred from waveform inversion with dense strong-motion data. Bulletin of the Seismological Society of America99(1): 123–140.
5.
AsanoKIwataT (2016) Source rupture processes of the foreshock and mainshock in the 2016 Kumamoto earthquake sequence estimated from the Kinematic waveform inversion of strong motion data. Earth, Planets and Space68(1): 147.
6.
AtkinsonGMBooreDM (2011) Modifications to existing ground-motion prediction equations in light of new data. Bulletin of the Seismological Society of America101(3): 1121–1135.
7.
AtkinsonGMMorrisonM (2009) Observations on regional variability in ground-motion amplitudes for small-to-moderate earthquakes in North America. Bulletin of the Seismological Society of America99(4): 2393–2409.
8.
BahrampouriMRodriguez-MarekA (2019) Ground motion parameters for KiK-net records: An updated database. DesignSafe-CI. Available at: https://doi.org/10.17603/ds2-e0ts-c070 (accessed 21 August 2020)
9.
BaltayASHanksTCAbrahamsonNA (2017) Uncertainty, variability, and earthquake physics in ground-motion prediction equations. Bulletin of the Seismological Society of America107(4): 1754–1772.
10.
BaylessJAbrahamsonNA (2019) An empirical model for the interfrequency correlation of epsilon for Fourier amplitude spectra. Bulletin of the Seismological Society of America109(3): 1058–1070.
11.
BlaserLKrügerFOhrnbergerMScherbaumF (2010) Scaling relations of earthquake source parameter estimates with special focus on subduction environment. Bulletin of the Seismological Society of America100(6): 2914–2926.
12.
BommerJJStaffordPJEdwardsBDostBvan DedemERodriguez-MarekAKruiverPvan ElkJDoornhofDNtinalexisM (2017) Framework for a ground-motion model for induced seismic hazard and risk analysis in the Groningen gas field, the Netherlands. Earthquake Spectra33(2): 481–498.
13.
BooreDMBommerJJ (2005) Processing of strong-motion accelerograms: Needs, options and consequences. Soil Dynamics and Earthquake Engineering25(2): 93–115.
14.
BucklandMGeyF (1994) The relationship between recall and precision. Journal of the American Society for Information Science45(1): 12–19.
15.
CélérierB (2010) Remarks on the relationship between the tectonic regime, the rake of the slip vectors, the dip of the nodal planes, and the plunges of the P, B, and T axes of earthquake focal mechanisms. Tectonophysics482(1–4): 42–49.
16.
ChiouBS-JYoungsRR (2008) Chiou and Youngs PEER-NGA empirical ground motion model for the average horizontal component of peak acceleration, peak velocity, and pseudo-spectral acceleration for spectral periods of 0.01 to 10 seconds. PEER report, Pacific Earthquake Engineering Research Center, University of California, Berkeley, CA, 14July.
17.
ChiouBYoungsRAbrahamsonNAddoK (2010) Ground-motion attenuation model for small-to-moderate shallow crustal earthquakes in California and its implications on regionalization of ground-motion prediction models. Earthquake Spectra26(4): 907–926.
18.
CirellaAPiatanesiATintiECoccoM (2008) Rupture process of the 2007 Niigata-ken Chuetsu-oki earthquake by non-linear joint inversion of strong motion and GPS data. Geophysical Research Letter35(16): L16306.
19.
ConverseAMBradyAG (1992) BAP basic strong-motion accelerogram processing software version 1.0. Open-File Report 92-296A, April. Reston, VA: U.S. Geological Survey.
20.
CultreraGAmeriGSaraòACirellaAEmoloA (2013) Ground-motion simulations within ShakeMap methodology: Application to the 2008 Iwate-Miyagi Nairiku (Japan) and 1980 Irpinia (Italy) earthquakes. Geophysical Journal International193(1): 220–237.
21.
DawoodHMRodriguez-MarekABaylessJGouletCThompsonE (2016) A flatfile for the KiK-net database processed using an automated protocol. Earthquake Spectra32(2): 1281–1302.
22.
DouglasJBooreDM (2011) High-frequency filtering of strong-motion records. Bulletin of Earthquake Engineering9(2): 395–409.
23.
FrohlichC (1992) Triangle diagrams: Ternary graphs to display similarity and diversity of earthquake focal mechanisms. Physics of the Earth and Planetary Interiors75(1–3): 193–198.
24.
GarciaDWaldDJHearneMG (2012) A global earthquake discrimination scheme to optimize ground-motion prediction equation selection. Bulletin of the Seismological Society of America102(1): 185–203.
HayesGPWaldDJJohnsonRL (2012) Slab1.0: A three-dimensional model of global subduction zone geometries. Journal of Geophysical Research: Solid Earth117(B1): B01302.
HikimaKKoketsuK (2004) Source processes of the foreshock, mainshock and largest aftershock in the 2003 Miyagi-Ken Hokubu, Japan, earthquake sequence. Earth, Planets and Space56(2): 87–93.
29.
HondaRAoiSMorikawaNSekiguchiHKunugiTFujiwaraH (2004) Ground motion and rupture process of 2003Tokachi-oki earthquake obtained from strong motion data of K-NET and KiK-net. Earth, Planets and Space56: 317–322.
30.
HusidR (1969) Características De Terremotos. Análisis General. Revista IDIEM8(1): 21–42.
31.
IdeS (2001) Complex source processes and the interaction of moderate earthquakes during the earthquake swarm in the Hida-mountains, Japan. Tectonophysics334(1): 35–54.
32.
JainAKDuinRPWMaoJ (2000) Statistical pattern recognition: A review. IEEE Transactions on Pattern Analysis and Machine Intelligence22(1): 4–37.
33.
KaganYY (2002) Seismic moment distribution revisited: I. Statistical results. Geophysical Journal International148(3): 520–541.
34.
KakehiY (2004) Analysis of the 2001 Geiyo, Japan, earthquake using high-density strong ground motion data: Detailed rupture process of a slab earthquake in a medium with a large velocity contrast. Journal of Geophysical Research: Solid Earth109(B8): B08306.
35.
KonnoKOhmachiT (1998) Ground-motion characteristics estimated from spectral ratio between horizontal and vertical components of microtremor. Bulletin of the Seismological Society of America88(1): 228–241.
36.
KothaSRCottonFBindiD (2017) Site classification derived from spectral clustering of empirical site amplification functions. In: 16th European conference on earthquake engineering, Thessaloniki, 18–21 June.
37.
KuboHSuzukiWAoiSSekiguchiH (2017) Source rupture process of the 2016 Central Tottori, Japan, earthquake (M JMA 6.6) inferred from strong motion waveforms. Earth, Planets and Space69(1): 127.
38.
MiyakoshiK (2000) Source characterization of Inland earthquakes in Japan using source inversion results. In: 12th world conference earthquake engineering, Auckland, 30 January–4 February.
39.
NigamNCJenningsPC (1969) Calculation of response spectra from strong-motion earthquake records. Bulletin of the Seismological Society of America59(2): 909–922.
40.
PanayotopoulosYHirataNHashimaAIwasakiTSakaiSISatoH (2016) Seismological evidence of an active footwall shortcut thrust in the northern Itoigawa–Shizuoka Tectonic line derived by the aftershock sequence of the 2014 M 6.7 Northern Nagano earthquake. Tectonophysics679: 15–28.
41.
ParkSCMoriJ (2005) The 2004 sequence of triggered earthquakes off the Kii Peninsula, Japan. Earth, Planets and Space57(4): 315–320.
42.
PugliaRRussoELuziLD’AmicoMFelicettaCPacorFLanzanoG (2018) Strong-motion processing service: A tool to access and analyse earthquakes strong-motion waveforms. Bulletin of Earthquake Engineering16(7): 2641–2651.
StaffordPJRodriguez-MarekAEdwardsBKruiverPPBommerJJ (2017) Scenario dependence of linear site-effect factors for short-period response spectral ordinates. Bulletin of the Seismological Society of America107(6): 2859–2872.
45.
ThingbaijamKKSMartin MaiPGodaK (2017) New empirical earthquake source-scaling laws. Bulletin of the Seismological Society of America107(5): 2225–2246.
46.
TrnkoczyA (2002) Understanding and parameter settings of STA/LTA trigger algorithm. In: BormannP (ed.) IASPEI New Manual of Seismological Observatory Practice, vol. 2.Germany: GeoForschungsZentrum Potsdam, pp. 1–19.
47.
WaldDJWordenBCQuitorianoVPankowKL (2005) ShakeMap Manual: Technical Manual, User’s Guide, and Software Guide. U.S. Geological Survey, Technical Methods 12-A1, p. 132.
48.
WallingMAbrahamsonN (2017) Significant duration of earthquake ground motion for subduction zone earthquakes. Seismological Research Letters88(2B): 667–668.
49.
YueHLayT (2013) Source rupture models for the Mw 9.0 2011 Tohoku earthquake from joint inversions of high-rate geodetic and seismic data. Bulletin of the Seismological Society of America103: 1242–1255.
50.
ZaccarelliRBindiDStrolloAQuinterosJCottonF (2019) Stream2segment: An open-source tool for downloading, processing, and visualizing massive event-based seismic waveform datasets. Seismological Research Letters90(5): 2028–2038.
51.
ZhaoJXZhouSGaoPLongTZhangYThioHKLuMRhoadesDA (2015) An earthquake classification scheme adapted for Japan determined by the goodness of fit for ground-motion prediction equations. Bulletin of the Seismological Society of America105(5): 2750–2763.
