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Site flatfile of Korea meteorological administration’s seismic stations in Korea

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Abstract

This study constructed a flatfile with the information useful to satisfy the site characterization requirements of Korea Meteorological Administration’s seismic network, which was expanded significantly to 265 seismic stations following the 2016 Gyeongju Earthquake and the 2017 Pohang Earthquake in South Korea. Seismic response parameters, including the average seismic shear-wave velocity from the surface to a depth of 30 m (VS30), the depth of the engineering bedrock (H), and the mean VS of soils above the engineering bedrock (VS,Soil), were collected for each seismic station using existing available data and were obtained via direct in situ tests and explorations, including borehole drillings, downhole tests (DHTs), and surface seismic tests (multichannel analysis of surface waves [MASW]). To ensure the comprehensive coverage of all observation sites, terrain- and geological-map-based proxy techniques were applied to all stations. In addition to currently operational seismic stations, data on closed stations were collected and included as much as possible to enhance the accuracy of the seismic observational data at those points. For the 265 seismic stations, 28% of the representative VS30 values were obtained from geophysical investigations, such as DHTs and MASW, whereas 60% were collected using geotechnical in situ methods, such as boring and standard penetration tests. Twelve percent of the representative VS30 data were estimated using seismic records or proxy-based techniques. Finally, all observation sites were classified according to three engineering site classification systems: two internationally accepted VS30-based National Earthquake Hazards Reduction Program codes and an H- and VS,Soil-based Korean code.

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References

  • Ahn JK, Kwak DY, Kim HS (2021) Estimating VS30 at Korean Peninsular seismic observatory stations using HVSR of event records. Soil Dyn Earthq Eng 146:106650

    Article  Google Scholar 

  • Akkar S, Çağnan Z, Yenier E, Erdoğan Ö, Sandıkkaya MA, Gülkan P (2010) The recently compiled Turkish strong motion database: Preliminary investigation for seismological parameters. J Seismolog 14(3):457–479

    Article  Google Scholar 

  • Akkar S, Sandıkkaya MA, Şenyurt M, Sisi AA, Ay BÖ, Traversa P, Godey S (2014) Reference database for seismic ground-motion in Europe (RESORCE). Bull Earthq Eng 12(1):311–339

    Article  Google Scholar 

  • Ancheta TD, Darragh RB, Stewart JP, Seyhan E, Silva WJ, Chiou BSJ, Donahue JL (2014) NGA-West2 database. Earthq Spectra 30(3):989–1005

    Article  Google Scholar 

  • Aoi S, Kunugi T, Fujiwara H (2004) Strong-motion seismograph network operated by NIED: K-NET and KiK-net. J Jpn Assoc Earthq Eng 4(3):65–74

    Google Scholar 

  • Aoi S, Kunugi T, Nakamura H, Fujiwara H (2011) Deployment of new strong motion seismographs of K-NET and KiK-net. Earthquake data in engineering seismology 167–186. Springer, Dordrecht, Netherlands.

  • Bard PY (1998) Microtremor measurements: a tool for site effect estimation. In: Proceedings of 2nd International Symposium on the Effects of Surface Geology on Seismic Motion, Vol. 3. Yokohama, Japan

  • Bergamo P, Hammer C, Fäh D (2021) On the relation between empirical amplification and proxies measured at Swiss and Japanese stations: systematic regression analysis and neural network prediction of amplification. Bull Seismol Soc Am 111(1):101–120

    Article  Google Scholar 

  • Borcherdt RD, Glassmoyer G (1992) On the characteristics of local geology and their influence on ground motions generated by the Loma Prieta earthquake in the San Francisco Bay region, California. Bull Seismol Soc Am 82(2):603–641

    Article  Google Scholar 

  • Bozorgnia Y, Abrahamson NA, Atik LA, Ancheta TD, Atkinson GM, Baker JW, Youngs R (2014) NGA-West2 research project. Earthq Spectra 30(3):973–987

    Article  Google Scholar 

  • BSSC (Building Seismic Safety Council) (1997) NEHRP recommended seismic provisions for new buildings and other structures. FEMA 302 Part 1 (Provisions). Washington DC, United States

  • BSSC (Building Seismic Safety Council) (2020) NEHRP recommended seismic provisions for new buildings and other structures. FEMA P-2082–1 Part 1 Provisions. Washington DC, United States

  • Cauzzi C, Custódio S, Evangelidis CP, Lanzano G, Luzi L, Ottemöller L, Pedersen H, Sleeman R (2021) Preface to the focus section on European seismic networks and associated services and products. Seismol Soc Am 92(3):1483–1490

    Google Scholar 

  • CEN (European Committee for Standardization) (2005) Eurocode 8: Design of structures for earthquake resistance-part 1: general rules, seismic actions and rules for buildings. Belgium, Brussels

    Google Scholar 

  • Cho HI, Lee MG, Sun CG, Kim HS (2021) Evaluation of engineering site conditions in North Gyeongsang province, South Korea, using a large database of borehole and standard penetration test data. Eng Geol 294:106306

    Article  Google Scholar 

  • Cultrera G, Cornou C, Di Giulio G, Bard PY (2021) Indicators for site characterization at seismic station: recommendation from a dedicated survey. Bull Earthq Eng 19(11):4171–4195

    Article  Google Scholar 

  • D’Amico M, Felicetta C, Russo E, Sgobba S, Lanzano G, Pacor F, Luzi L (2021) The new ITalian ACcelerometric Archive ITACA: database, web­services, and tools to access and analyze earthquakes waveforms. Rapporti tecnici INGV 429: 1­44. https://doi.org/10.13127/rpt/429

  • Di Capua G, Lanzo G, Pessina V, Peppoloni S, Scasserra G (2011) The recording stations of the Italian strong motion network: geological information and site classification. Bull Earthq Eng 9(6):1779–1796

    Article  Google Scholar 

  • Felicetta C, D’Amico M, Lanzano G, Puglia R, Russo E, Luzi L (2017) Site characterization of Italian accelerometric stations. Bull Earthq Eng 15(6):2329–2348

    Article  Google Scholar 

  • Gihm YS, Kim SW, Ko K, Choi JH, Bae H, Hong PS, Kim JC (2018) Paleoseismological implications of liquefaction-induced structures caused by the 2017 Pohang earthquake. Geosci J 22:871–880

    Article  Google Scholar 

  • Gorini A, Nicoletti M, Marsan P, Bianconi R, De Nardis R, Filippi L, Zambonelli E (2010) The Italian strong motion network. Bull Earthq Eng 8(5):1075–1090

    Article  Google Scholar 

  • Goulet CA, Abrahamson NA, Al Atik L, Atkinson GM, Bozorgnia Y, Graves RW, Youngs RR (2017) PEER NGA-East overview: Development of a ground motion characterization model (Ground Motion Prediction Equations) for Central and Eastern North America. In AGU Fall Meet Abstr 2017:S41B-0769

    Google Scholar 

  • Goulet C, Kishida T, Ancheta TD, Cramer CH, Darragh RB, Silva WJ, Hashash YMA, Harmon J, Stewart JP, Wooddell KE, Youngs RR (2014) PEER NGA-East Database. Technical Report PEER 2014/17, Pacific Earthquake Engineering Research, Berkeley, USA

  • Kim DS, Bang ES, Kim WC (2004) Evaluation of various downhole data reduction methods for obtaining reliable VS profiles. Geotech Test J 27(6):585–597

    Google Scholar 

  • Kim B, Hashash YM, Rathje EM, Stewart JP, Ni S, Somerville PG, Campbell KW (2016a) Subsurface shear wave velocity characterization using P-wave seismograms in central and Eastern North America. Earthq Spectra 32(1):143–169

    Article  Google Scholar 

  • Kim Y, Rhie J, Kang TS, Kim KH, Kim M, Lee SJ (2016b) The 12 September 2016 Gyeongju earthquakes: 1. Observation and remaining questions. Geosci J 20(6):747–752

    Article  Google Scholar 

  • Kim DS, Manandhar S, Cho HI (2018a) New site classification system and design response spectra in Korean seismic code. Earthq Struct 15(1):1–8

    Google Scholar 

  • Kim HS, Sun CG, Cho HI (2018b) Geospatial assessment of the post-earthquake hazard of the 2017 Pohang earthquake considering seismic site effects. ISPRS Int J Geo Inf 7(9):375

    Article  Google Scholar 

  • Kim J, Kim B, Cho H (2020) Shear wave velocity estimation in Korea using P-wave seismograms. KSCE J Civ Eng 24(12):3650–3658

    Article  Google Scholar 

  • Kinoshita S (1998) Kyoshin Net (K-NET). Seismol Res Lett 69:309–332

    Article  Google Scholar 

  • KMA (Korea Meteorological Administration) (2001) 1978~2000 Earthquake Observation Report. Seoul, Korea

  • KMA (Korea Meteorological Administration) (2017) Seismological annual report. Seoul, Korea

  • KMA (Korea Meteorological Administration) (2021) Seismological annual report. Seoul, Korea

  • Kuo CH, Wen KL, Hsieh HH, Lin CM, Chang TM, Kuo KW (2012) Site classification and VS30 estimation of free-field TSMIP stations using the logging data of EGDT. Eng Geol 129:68–75

    Article  Google Scholar 

  • Kwok OLA, Stewart JP, Kwak DY, Sun PL (2018) Taiwan-specific model for VS30 prediction considering between-proxy correlations. Earthq Spectra 34(4):1973–1993

    Article  Google Scholar 

  • Lanzano G, Sgobba S, Luzi L, Puglia R, Pacor F, Felicetta C, Bindi D (2019) The pan-European engineering strong motion (ESM) flatfile: compilation criteria and data statistics. Bull Earthq Eng 17(2):561–582

    Article  Google Scholar 

  • Lee SH, Sun CG, Yoon JK, Kim DS (2012) Development and verification of a new site classification system and site coefficients for regions of shallow bedrock in Korea. J Earthq Eng 16(6):795–819

    Article  Google Scholar 

  • Lin CM, Wen KL, Lin CY, Kuo CH (2016) Receiver function analysis of strong-motion stations in Kaohsiung-Pingtung area, Taiwan. EGU General Assembly Conference Abstracts. Austria, Apr, Vienna, pp 17–22

    Google Scholar 

  • Lin CM, KL Wen, CH Kuo, CY Lin (2014) S-wave velocity model of Taipei Basin. In Proceedings of the 5th Asia conference on earthquake engineering. Taipei, Taiwan, Oct. 16–18

  • Liu KS, Shin TC, Tsai YB (1999) A free-field strong motion network in Taiwan: TSMIP. Terr Atmos Ocean Sci 10(2):377–396

    Article  Google Scholar 

  • Luzi L, Hailemikael S, Bindi D, Pacor F, Mele F, Sabetta F (2008) ITACA (ITalian ACcelerometric Archive): a web portal for the dissemination of Italian strong-motion data. Seismol Res Lett 79(5):716–722

    Article  Google Scholar 

  • Luzi L, Puglia R, Russo E, D’Amico M, Felicetta C, Pacor F, Lanzano G, Çeken U, Clinton J, Costa G, Duni L, Farzanegan E, Gueguen P, Ionescu C, Kalogeras I, Özener H, Pesaresi D, Sleeman R, Strollo A, Zare M (2016) The engineering strong-motion database: a platform to access Pan-European accelerometric data. Seismol Res Lett 87(4):987–997

    Article  Google Scholar 

  • Manandhar S, Cho HI, Kim DS (2016) Effect of bedrock stiffness and thickness of weathered rock on response spectrum in Korea. KSCE J Civ Eng 20(7):2677–2691

    Article  Google Scholar 

  • Manandhar S, Cho HI, Kim DS (2018) Site classification system and site coefficients for shallow bedrock sites in Korea. J Earthq Eng 22(7):1259–1284

    Article  Google Scholar 

  • MOLIT (Ministry of Land, Infrastructure and Transport) (2018) General Seismic Design. KDS 17 10 00. Sejong, Korea

  • Park EH, Lee JM, Kim W (2011) Performance of the southern Korean Peninsula seismograph network and refinement of hypocentral parameters of local earthquakes, 2004–2008. Geosci J 15(1):83–93

    Article  Google Scholar 

  • Petersen MD, Shumway AM, Powers PM, Mueller CS, Moschetti MP, Frankel AD, Zeng Y (2020) The 2018 update of the US national seismic hazard model: overview of model and implications. Earthq Spectra 36(1):5–41

    Article  Google Scholar 

  • Poggi V, Burjanek J, Michel C, Fäh D (2017) Seismic site-response characterization of high-velocity sites using advanced geophysical techniques: application to the NAGRA-Net. Geophys J Int 210(2):645–659

    Article  Google Scholar 

  • Rhie JK (2015) A basic study on building ShakeMap database of scenario earthquakes in the Korean Peninsula. CATER 2012–5050, Korea Meteorological Administration, Seoul, Korea (in Korean)

  • Sandıkkaya MA, Yılmaz MT, Bakır BS, Yılmaz Ö (2010) Site classification of Turkish national strong-motion stations. J Seismolog 14(3):543–563

    Article  Google Scholar 

  • Seed HB, Romo MP, Sun JI, Jaime A, Lysmer J (1988) The Mexico earthquake of September 19, 1985–relationships between soil conditions and earthquake ground motions. Earthq Spectra 4(4):687–729

    Article  Google Scholar 

  • Seyhan E, Stewart JP, Ancheta TD, Darragh RB, Graves RW (2014) NGA-West2 site database. Earthq Spectra 30(3):1007–1024

    Article  Google Scholar 

  • Sokolov V, Wenzel F, Wen KL, Jean WY (2012) On the influence of site conditions and earthquake magnitude on ground-motion within-earthquake correlation: analysis of PGA data from TSMIP (Taiwan) network. Bull Earthq Eng 10(5):1401–1429

    Article  Google Scholar 

  • Sun CG (2014) Earthquake engineering bedrock based on the shear wave velocities of rock strata in Korea. J Eng Geol 24(2):273–281

    Article  Google Scholar 

  • Sun CG (2015) Determination of mean shear wave velocity to 30 m depth for site classification using shallow depth shear wave velocity profile in Korea. Soil Dyn Earthq Eng 73:17–28

    Article  Google Scholar 

  • Sun CG, Han JT, Cho WJ (2012) Representative shear wave velocity of geotechnical layers by synthesizing in-situ seismic test data in Korea. J Eng Geol 22(3):293–307

    Article  Google Scholar 

  • Sun CG, Cho CS, Son M, Shin JS (2013) Correlations between shear wave velocity and in-situ penetration test results for Korean soil deposits. Pure Appl Geophys 170(3):271–281

    Article  Google Scholar 

  • Sun CG, Kim HS, Cho HI (2018) Geo-proxy-based site classification for regional zonation of seismic site effects in South Korea. Appl Sci 8(2):314

    Article  Google Scholar 

  • Sun CG, Jeong JM, Kim KS, Jang IS (2016) Site characterization of seismic stations based on downhole tests to 30 m depth in South Korea. In Proceedings of Geotechnical and Geophysical Site Characterization 5, Sydney, Australia

  • Theodulidis N, Kalogeras I, Papazachos C, Karastathis V, Margaris B, Papaioannou C, Skarlatoudis A (2004) HEAD 1.0: a unified HEllenic accelerogram database. Seismol Res Lett 75(1):36–45

    Article  Google Scholar 

  • Wald DJ, Allen TI (2007) Topographic slope as a proxy for seismic site conditions and amplification. Bull Seismol Soc Am 97(5):1379–1395

    Article  Google Scholar 

  • Yong A (2016) Comparison of measured and proxy-based VS30 values in California. Earthq Spectra 32(1):171–192

    Article  Google Scholar 

  • Zhu C, Weatherill G, Cotton F, Pilz M, Kwak DY, Kawase H (2021) An open-source site database of strong-motion stations in Japan: K-NET and KiK-net (v1.0.0). Earthq Spectra 37(3):2126–2149

    Article  Google Scholar 

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Funding

This research was funded by the Basic Research Project of the Korea Institute of Geoscience and Mineral Resources (KIGAM) and the Korea Meteorological Administration Research and Development Program under Grant KMI2018-09210.

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Authors and Affiliations

  1. Earthquake Research Center, Korea Institute of Geoscience and Mineral Resources, Daejeon, 34132, Korea

    Hyung-Ik Cho, Moon-Gyo Lee, Chang-Guk Sun & Han-Saem Kim

  2. Earthquake and Volcano Research Division, Korea Meteorological Administration, Seoul, 07062, Korea

    Jae-Kwang Ahn

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  1. Hyung-Ik Cho
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  2. Moon-Gyo Lee
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  3. Jae-Kwang Ahn
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  4. Chang-Guk Sun
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Correspondence to Han-Saem Kim.

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We confirm that this manuscript represents original work that has not been published elsewhere and is not under consideration by another journal for publication. All authors have approved the manuscript and agree with its submission to the Bulletin of Earthquake Engineering. The authors declare no conflict of interest.

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Cho, HI., Lee, MG., Ahn, JK. et al. Site flatfile of Korea meteorological administration’s seismic stations in Korea. Bull Earthquake Eng 20, 5775–5795 (2022). https://doi.org/10.1007/s10518-022-01418-8

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