Site database for national strong motion stations in mainland China

被引:2
|
作者
Ji, Kun [1 ,2 ]
Ren, Yefei [2 ]
Zhu, Chuanbin [3 ]
Zhang, Yuting [2 ]
Yao, Xinxin [4 ]
Wang, Daren [2 ]
Zhang, Peng [2 ]
Si, Hongjun [5 ]
Kishida, Tadahiro [6 ,7 ]
Liu, Ye [2 ]
Yaghmaei-Sabegh, Saman [8 ]
Wen, Ruizhi [2 ]
机构
[1] Hohai Univ, Coll Civil & Transportat Engn, Nanjing, Peoples R China
[2] China Earthquake Adm, Inst Engn Mech, Harbin, Peoples R China
[3] Northumbria Univ, Fac Engn & Environm, Newcastle Upon Tyne, England
[4] Jilin Jianzhu Univ, Sch Emergency Sci & Engn, Jilin, Peoples R China
[5] Seismol Res Inst Inc, Tokyo, Japan
[6] Khalifa Univ Sci & Technol, Abu Dhabi, U Arab Emirates
[7] Univ Calif Los Angeles, Los Angeles, CA USA
[8] Univ Tabriz, Dept Civil Engn, Tabriz, Iran
关键词
Site effect; Geological condition; Site parameters; Site classification; Horizontal-to-vertical spectral ratio (HVSR); SPECTRAL RATIO; CLASSIFICATION METHOD; OBSERVATION NETWORK; CONDITIONS MAP; VS30; PREDICTION; V-S30; CALIFORNIA; PROXY; H/V;
D O I
10.1016/j.enggeo.2024.107651
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
Ground motion amplification and spectral content are significantly influenced by local soil and geological conditions. This article summarizes the development of the China Site Database (CNSDB) in the China Ground Motion Flatfile project. CNSDB contains site information for 1450 strong-motion recording stations within the National Strong Motion Observation Network System (NSMONS) in China. The primary site information in CNSDB includes the time-averaged shear-wave velocity in the upper 30 m (VS30), and site class according to the seismic design code in China. These site data are derived using different methods from various data sources. Priority is given to approaches that minimize bias and dispersion relative to measurement-based results. Recommended VS30 values and site class are derived from reliable velocity profiles or field survey results whenever available. A China-specific VS30 extrapolation model is developed using 6179 engineering boreholes and is then utilized to estimate VS30 for profiles <30 m. VS30 values and site class are estimated from horizontal-to-vertical spectral ratio (HVSR) curves of earthquake recordings using machine-learning techniques. For the remaining sites without velocity profiles or sufficient ground-motion recordings for HVSR computation, VS30 values are determined as the weighted average of proxy-based estimates using geological attributes, topographic slope, and terrain categories. We also discuss the potential application of CNSDB in the development of China seismic hazard map considering site amplification factors.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Soil Profile Database and Site Classification for National Strong-Motion Stations in Western China
    Xie, Junju
    Li, Xiaojun
    Wen, Zengping
    Jia, Lin
    An, Zhao
    Cui, Jianwen
    Lin, Guoliang
    Zhang, Qian
    Jiang, Peng
    Xie, Quancai
    Wang, Pengfei
    Zimmaro, Paolo
    Stewart, Jonathan P.
    SEISMOLOGICAL RESEARCH LETTERS, 2022, 93 (03) : 1930 - 1942
  • [2] Site classification of Turkish national strong-motion stations
    Sandikkaya, M. Abdullah
    Yilmaz, Mustafa Tolga
    Bakir, B. Sadik
    Yilmaz, Oezdogan
    JOURNAL OF SEISMOLOGY, 2010, 14 (03) : 543 - 563
  • [3] Site classification of Turkish national strong-motion stations
    M. Abdullah Sandıkkaya
    Mustafa Tolga Yılmaz
    B. Sadık Bakır
    Özdoğan Yılmaz
    Journal of Seismology, 2010, 14 : 543 - 563
  • [4] Site characterization of Italian strong motion recording stations
    Scasserra, Giuseppe
    Stewart, Jonathan P.
    Kayen, Robert E.
    Lanzo, Giuseppe
    2008 SEISMIC ENGINEERING CONFERENCE COMMEMORATING THE 1908 MESSINA AND REGGIO CALABRIA EARTHQUAKE, PTS 1 AND 2, 2008, 1020 : 338 - +
  • [5] DYNAMIC SITE CHARACTERIZATION OF CHRISTCHURCH STRONG MOTION STATIONS
    Wood, Clinton M.
    Cox, Brady R.
    Wotherspoon, Liam M.
    Green, Russell A.
    BULLETIN OF THE NEW ZEALAND SOCIETY FOR EARTHQUAKE ENGINEERING, 2011, 44 (04): : 195 - 204
  • [6] Determination of site characterization in Turkey strong motion recording stations
    Kurtulus, Cengiz
    Sertcelik, Fadime
    Sertcelik, Ibrahim
    Kuru, Turgay
    Tekin, Kudret
    Ates, Erkan
    Apak, Aytac
    Kokbudak, Derya
    Sezer, Selim
    Yalcin, Derya
    JOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY, 2020, 35 (04): : 1829 - 1846
  • [7] The Argentinean National Network of Seismic and Strong-Motion Stations
    Sanchez, Gerardo
    Recio, Rodolfo
    Marcuzzi, Oscar
    Moreno, Marcelo
    Araujo, Mario
    Navarro, Carlos
    Suarez, Juan Carlos
    Havskov, Jens
    Ottemoller, Lars
    SEISMOLOGICAL RESEARCH LETTERS, 2013, 84 (05) : 729 - 736
  • [8] Site classification for National Strong Motion Observation Network System (NSMONS) stations in China using an empirical H/V spectral ratio method
    Ji, Kun
    Ren, Yefei
    Wen, Ruizhi
    JOURNAL OF ASIAN EARTH SCIENCES, 2017, 147 : 79 - 94
  • [9] Site response of strong motion stations in the Umbria, Central Italy, region
    Castro, RR
    Pacor, F
    Bindi, D
    Franceschina, G
    Luzi, L
    BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2004, 94 (02) : 576 - 590
  • [10] Site characterization of strong-motion stations of Himalaya and adjoining plains
    Pandey B.
    Jakka R.S.
    Kumar A.
    Sharma M.L.
    Arabian Journal of Geosciences, 2021, 14 (10)