Site Classification of the Strong Motion Stations of Uttarakhand, India, Based on the Model Horizontal to Vertical Spectral Ratio

被引:0
|
作者
Harinarayan, N. H. [1 ]
Kumar, Abhishek [2 ]
机构
[1] Indian Inst Technol, Gauhati, India
[2] Indian Inst Technol, Dept Civil Engn, Gauhati, India
关键词
EARTHQUAKE; SEISMOTECTONICS; HIMALAYA;
D O I
暂无
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
In order to monitor the ongoing seismicity in different parts of the active regions of India, 300 state of the art digital strong motion accelerographs are installed. The accelerograms from the recording stations are available in PESMOS website. The recording stations are classified based on the physical description of local geology and not based on in-situ field tests. Thus, there exist an ambiguity in the assessment of local site conditions for these recording stations. Unless the site class (SC) is known, recorded ground motions cannot be used with confidence. Several research efforts have been directed towards the use of horizontal to vertical spectral ratio (HVSR) technique as a tool to access the local site condition. There is consensus among the scientific community regarding the peak frequency (fpeak) obtained from the HVSR method to identify the soil fundamental frequency. In this study, theoretical HVSR curves for 12 recording stations located in the Tarai region of Uttarakhand are generated using a Matlab tool called Model HVSR to obtain the fpeak and peak amplification (Apeak). Further, these values of fpeak and Apeak for all the 12 recording stations are estimated using the HVSR based on strong ground motion records. Results obtained from both the above methods show 1: 1 correspondence. The values of fpeak obtained for 12 stations range from 1 Hz to 5 Hz based on model HVSR and from 1.1 Hz to 3.3 Hz using the HVSR based on strong ground motion records. These findings are also matching with the existing field studies. Present analyses show a clear difference in the SCs suggested by PESMOS and the one obtained from the present study. Once correct information on SC is known, recorded ground motion at each station can be used with confidence.
引用
收藏
页码:141 / 149
页数:9
相关论文
共 50 条
  • [1] Site classification for strong motion stations in Gujarat, India using response spectral ratio
    Choudhury, Pallabee
    Chopra, Sumer
    Roy, Ketan Singha
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2016, 87 : 138 - 150
  • [2] A Vertical-to-horizontal spectral ratio model for India
    Podili, Bhargavi
    Sreejaya, K. P.
    Raghukanth, S. T. G.
    Srinagesh, D.
    Murty, C. V. R.
    SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2022, 152
  • [3] Site classification for strong earthquake stations in china using spectral ratio method
    Wen, Ruizhi
    Ji, Kun
    Ren, Yefei
    Wang, Hongwei
    Yanshilixue Yu Gongcheng Xuebao/Chinese Journal of Rock Mechanics and Engineering, 2015, 34 (06): : 1236 - 1241
  • [4] Proposal of an empirical site classification method based on target simulated horizontal over vertical spectral ratio
    Laouami, Nasser
    Hadid, Mohamed
    Mezouar, Noureddine
    BULLETIN OF EARTHQUAKE ENGINEERING, 2018, 16 (12) : 5843 - 5874
  • [5] Proposal of an empirical site classification method based on target simulated horizontal over vertical spectral ratio
    Nasser Laouami
    Mohamed Hadid
    Noureddine Mezouar
    Bulletin of Earthquake Engineering, 2018, 16 : 5843 - 5874
  • [6] An empirical site-classification method for strong-motion stations in Japan using H/V response spectral ratio
    Zhao, John X.
    Irikura, Kojiro
    Zhang, Jian
    Fukushima, Yoshimitsu
    Somerville, Paul G.
    Asano, Akihiro
    Ohno, Yuki
    Oouchi, Taishi
    Takahashi, Toshimasa
    Ogawa, Hiroshi
    BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2006, 96 (03) : 914 - 925
  • [7] Novel Evaluation Method for Site Effect on Earthquake Ground Motion Based on Modified Horizontal to Vertical Spectral Ratio
    Li, Xiaojun
    Li, Na
    Rong, Mianshui
    Dong, Qing
    FRONTIERS IN EARTH SCIENCE, 2022, 10
  • [8] Machine learning application to seismic site classification prediction model using Horizontal-to-Vertical Spectral Ratio (HVSR) of strong-ground motions
    Phi, Francis G.
    Cho, Bumsu
    Kim, Jungeun
    Cho, Hyungik
    Choo, Yun Wook
    Kim, Dookie
    Kim, Inhi
    GEOMECHANICS AND ENGINEERING, 2024, 37 (06) : 539 - 554
  • [9] Seismic Site Classification from the Horizontal-to-Vertical Response Spectral Ratios: Use of the Spanish Strong-Motion Database
    Pinzon, Luis A.
    Pujades, Luis G.
    Macau, Albert
    Carreno, Emilio
    Alcalde, Juan M.
    GEOSCIENCES, 2019, 9 (07)
  • [10] Site condition investigation using horizontal to vertical spectral ratios of Iran strong motion data
    Attieh Eshaghi
    Behzad Hassani
    Mohammad Pourmohammad Shahvar
    Esmail Farzanegan
    Acta Geophysica, 2023, 71 : 2049 - 2064