Horizontal ground-motion models for subduction interface earthquakes based on the offshore ground motion database of the S-net in the Japan Trench area

TAN Jingyang1, 2, YAN Shilong1, 2, CHEN Denghong1, 2, ZHANG Qi1, 2, CHEN Liuzhuo1, 2

Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (18) : 186-200.

PDF(6113 KB)
PDF(6113 KB)
Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (18) : 186-200.

Horizontal ground-motion models for subduction interface earthquakes based on the offshore ground motion database of the S-net in the Japan Trench area

  • TAN Jingyang1,2,YAN Shilong1,2,CHEN Denghong1,2,ZHANG Qi1,2,CHEN Liuzhuo1,2
Author information +
History +

Abstract

The prediction model of ground-motion response spectrum is the basis of probabilistic seismic hazard analysis (PSHA). Based on the offshore subduction interface ground-motion database of the large ocean-bottom network S-net in subduction zone of the Japan Trench, the horizontal ground-motion model of the offshore interface earthquakes in the subduction zone is established in the present study, and the difference of offshore and onshore ground-motion models of interface earthquakes is analyzed. The prediction model takes into account the water depths and the sedimentary thickness of the ocean-bottom stations, both of which are associated with the site condition. Due to the different buried methods of the ocean-bottom stations, these stations are classified according to buried and unburied methods in the model. Based on regression analysis and parameter smoothing, we established a prediction model of the horizontal offshore interface ground motion, taking into account earthquake types, moment magnitude, and focal depth, rupture distance, water depth, and sedimentary thickness and buried method. By separating the within-event residuals, we presented the single-station standard deviation of the offshore interface prediction model in the offshore region, which can be used for PSHA of specific sites. The offshore model can be utilized as a reference for the seismic zoning of offshore region considering the source type and the PSHA of offshore region.

Key words

offshore ground motion / subduction interface earthquake / prediction model / random effect model / marine engineering

Cite this article

Download Citations
TAN Jingyang1, 2, YAN Shilong1, 2, CHEN Denghong1, 2, ZHANG Qi1, 2, CHEN Liuzhuo1, 2. Horizontal ground-motion models for subduction interface earthquakes based on the offshore ground motion database of the S-net in the Japan Trench area[J]. Journal of Vibration and Shock, 2024, 43(18): 186-200

References

[1] 陈宝魁, 王博为, 王东升. 海底强震观测记录与地震动特性研究进展[J].世界地震工程, 2023, 39(1): 200-208. 
CHEN Baokui, WANG Bowei, WANG Dongsheng. Review of offshore strong earthquake observation records and ground motion characteristics [J]. World Earthquake Engineering, 2023, 39(1): 200-208. 
[2] Chen B, Wang B, Ma Z, et al. Influence of seawater depth on offshore ground motion characteristics and seismic responses of sea-crossing cable-stayed bridges [J]. Ocean Engineering, 2023, 280(3): 114853.
[3] Chen B, Wang D, Li H, et al. Characteristics of Earthquake Ground Motion on the Seafloor [J]. Journal of Earthquake Engineering, 2015, 19(6): 874-904.
[4] 陈苏, 周越, 李小军, 等. 近海域地震动的时频特征与工程特性[J]. 振动与冲击, 2018, 37(16): 227-233.
CHEN Su, ZHOU Yue, LI Xiaojun, et al. Time-frequency and engineering characteristics on offshore ground motion [J]. Journal of Vibration and Shock, 2018, 37(16):227-233.
[5] 李小军, 陈苏, 任治坤,等. 海域地震区划关键技术研究项目及研究进展[J].地震科学进展, 2020, 50(1): 2-19.
LI Xiaojun, CHEN Su, REN Zhikun, et al. Project plan and research progress on key technologies of seismic zoning in sea areas [J]. Progress in Earthquake Sciences, 2020, 50(1): 2-19.
[6] 李小军, 李娜, 陈苏. 中国海域地震区划及关键问题研究[J].震灾防御技术, 2021, 16(1): 1-10.
LI Xiaojun, LI Na, CHEN Su. Study on seismic zoning in China Sea area and its key issues [J]. Technology for Earthquake Disaster Prevention, 2021, 16(1): 1-10.
[7] Hu J, Tan J, Zhao J X. New GMPEs for the Sagami Bay Region in Japan for Moderate Magnitude Events with Emphasis on Differences on Site Amplifications at the Seafloor and Land Seismic Stations of K‐NET[J]. Bulletin of the Seismological Society of America, 2020, 110(5), 2577-2597.
[8] Boore D M, Smith C E. Analysis of Earthquake Recordings Obtained from the Seafloor Earthquake Measurement System (SEMS) Instruments Deployed off the Coast of Southern California. Bulletin of the Seismological Society of America, 1999, 89(1): 260-274.
[9] 陈宝魁, 黄怡, 陈少林, 等. 坡形场地对海底地震动的影响[J]. 振动工程学报, 2023, 36(2): 410-418.
Chen B, Huang Y, Chen S, et al. Influence of slope sites on offshore ground motion [J]. Journal of Vibration Engineering, 2023, 36(2): 410-418.
[10] 陈宝魁, 陈佳佳, 胡思聪, 等. 海床坡度对地震动特性的影响及其临界值[J/OL].工程力学. https://kns.cnki.net/kcms/detail/11.2595.O3.20230331.1318.008.html
Chen B, Chen J, Hu S, et al. The influence of seabed slope on ground motion characteristics and its critical value [J/OL]. Engineering Mechanics. https://kns.cnki.net/kcms/detail/11.2595.O3.20230331.1318.008.html.
[11] Dhakal Y P, Kunugi T, Suzuki W, et al. Strong motions on land and ocean bottom: Comparison of horizontal PGA, PGV, and 5% damped acceleration response spectra in northeast Japan and the Japan Trench area [J]. Bulletin of the Seismological Society of America, 2021, 111(6): 3237-3260.
[12] Tan J, Hu J. A prediction model for vertical-to-horizontal spectral ratios of ground motions on the seafloor for moderate magnitude events for the Sagami Bay region in Japan[J]. Journal of Seismology, 2021, 25(1): 181-199.
[13] Zhang Q, Zheng X Y. Offshore earthquake ground motions: Distinct features and influence on the seismic design of marine structures [J]. Marine Structures, 2019, 65: 291-307.
[14] 陈宝魁, 王博为, 田钦, 等. 基于实测记录分析场地因素对海底地震动特性影响[J]. 地震工程学报, 2021, 43(5): 1183-1189.
Chen B, Wang B, Tian Q, et al. Effect of site factors on the characteristics of offshore ground motions based on strong motion observation records [J]. China Earthquake Engineering Journal, 2021, 43(5): 1183-1189.
[15] Diao H, Hu J, Xie L. Effect of seawater on incident plane P and SV waves at ocean bottom and engineering characteristics of offshore ground motion records off the coast of southern California, USA [J]. Earthquake Engineering and Engineering Vibration, 2014, 13(2): 181-194.
[16] Dhakal Y P, Suzuki W, Kunugi T, et al. Site amplifications at the ocean bottom seismograph sites in the Sagami Bay area, Japan [C]. Proc. 16th WCEE, 2017, Santiago, Chile. Paper No.656.
[17] Aoi S, Asano Y, Kunugi T, et al. MOWLAS: NIED observation network for earthquake, tsunami and volcano [J]. Earth, Planets and Space, 2020, 72: 126.
[18] Bradley BA. Empirical correlation of PGA, spectral accelerations and spectrum intensities from active shallow crustal earthquakes [J]. Earthquake Engineering and Structural Dynamics, 2011, 40(15), 1707-1721.
[19] Wang G, Du WQ. Empirical correlations between cumulative absolute velocity and spectral accelerations from NGA ground motion database[J]. Soil Dynamics and Earthquake Engineering, 2012, 43, 229-236.
[20] 胡进军, 田浩, 谭景阳, 等. 海域和陆域地震动输入能量与强度指标相关性[J]. 哈尔滨工业大学学报, 2023, 55(9): 7-18.
HU Jinjun, TIAN Hao, TAN Jingyang, et al. Correlation between input energy and intensity measures of offshore and onshore ground motions [J]. Journal of Harbin Institute of Technology, 2023, 55(9): 7-18.
[21] Zhao JX, Zhou SL, Gao PJ, et al. An earthquake classification scheme adapted for Japan determined by the goodness of fit for ground-motion prediction equations [J]. Bulletin of the Seismological Society of America, 2015, 105(5), 2750-2763.
[22] Zhao JX, Jiang F, Shi P, et al. Ground-motion prediction equations for subduction slab earthquakes in Japan using site class and simple geometric attenuation functions [J]. Bulletin of the Seismological Society of America, 2016, 106(4): 1535-1551.
[23] Zhao JX, Liang X, Jiang F, et al. Ground-motion prediction equations for subduction interface earthquakes in Japan using site class and simple geometric attenuation functions [J]. Bulletin of the Seismological Society of America, 2016, 106(4): 1518-1534.
[24] Zhao JX, Zhou S, Zhou J, et al. Ground-motion prediction equations for shallow crustal and upper-mantle earthquakes in Japan using site class and simple geometric attenuation functions [J]. Bulletin of the Seismological Society of America, 2016, 106(4):1552-1569.
[25] Kubo H, Nakamura T, Suzuki W, et al. Site amplification characteristics at Nankai seafloor observation network, DONET1, Japan, evaluated using spectral inversion [J]. Bulletin of the Seismological Society of America, 2018, 108(3): 1210-1218.
[26] Takagi R, Uchida N, Nakayama T, et al. Estimation of the orientations of the S-net cabled ocean-bottom sensors [J]. Seismological Research Letters, 2019, 90:2175-2187.
[27] 蒋飞. 日本俯冲带地区竖向地震动衰减关系研究[D]. 成都: 西南交通大学, 2018.
JIANG Fei. Ground-motion prediction equations for the vertical component from subduction zone earthquakes in Japan [D]. Chengdu: Southwest Jiaotong University, 2018.
[28] 周霜林. 俯冲带浅层壳内和上地幔地震动衰减关系研究[D]. 成都: 西南交通大学, 2018.
ZHOU Shuanglin. Ground-motion prediction equations for shallow crustal and upper mantle earthquakes in subduction zone [D]. Chengdu: Southwest Jiaotong University, 2018.
[29] Abrahamson NA, Youngs RR. A stable algorithm for regression analysis using the random effect model [J]. Bulletin of the Seismological Society of America, 1992, 82(1): 505-510.
[30] 徐培彬. 基于我国强震动数据Flatfile的地震动不确定性研究[D]. 哈尔滨: 中国地震局工程力学研究所, 2019.
XU Peibin. Study on the ground motion uncertainty based on the Chinses Flatfile [D]. Harbin: Institute of Engineering Mechanics, China Earthquake Administration, 2019.
[31] Baltay AS, Hanks TC, Abrahamson N. Uncertainty, variability, and earthquake physics in ground-motion prediction equations [J]. Bulletin of the Seismological Society of America, 2017, 107(4): 1754-1772.
[32] Çağnan Z, Akkar S. Assessment of aleatory and epistemic uncertainty for ground-motion intensity measure prediction in Turkey [J]. Bulletin of the Seismological Society of America, 2019, 109(1): 263-283.
[33] Ktenidou OJ, Roumelioti Z, Abrahamson N. Understanding single-station ground motion variability and uncertainty (sigma): lessons learnt from EUROSEISTEST [J]. Bulletin of Earthquake Engineering, 2018, 16(6): 2311-2336.
[34] Wen R, Xu P, Wang H, et al. Single-station standard deviation using strong-motion data from Sichuan region, China. Bulletin of the Seismological Society of America, 2018, 108(4): 2237-2247. 
[35] Kubo H, Nakamura T, Suzuki W, et al. Ground-motion characteristics and nonlinear soil response observed by DONET1 seafloor observation network during the 2016 southeast off-Mie, Japan, Earthquake [J]. Bulletin of the Seismological Society of America, 2019, 109(3): 976-986. 
PDF(6113 KB)

Accesses

Citation

Detail

Sections
Recommended

/