Title page for 91622004


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Student Number 91622004
Author Chun-Hsiang Kuo(郭俊翔)
Author's Email Address No Public.
Statistics This thesis had been viewed 2326 times. Download 1412 times.
Department Graduate Institute of Geophysics
Year 2003
Semester 2
Degree Master
Type of Document Master's Thesis
Language zh-TW.Big5 Chinese
Title Shallow S-Wave Velocity Structure of Some Strong Motion Stations in Different Geological Areas
Date of Defense 2004-06-01
Page Count 161
Keyword
  • array
  • fk
  • GA
  • microtremor
  • S-wave
  • velocity structure
  • Abstract We conducted array measurements of microtremors in 17 strong motion stations to estimate shallow S-wave velocity structures. These strong-motion stations are distributed in different geological areas including Taipei Basin, Lan-Yang Plain and Longitudinal Valley.
      First, we use Frequency-Wavenumber method to estimate phase velocities of microtremors and get the dispersion curve, then use (Genetic Algorithms) GA method to find some good S-wave velocity models, which have high fitness. Finally, we take the GA result as initial model and use the traditional surface wave inversion technique (SURF) to do inversion and estimate the best S-wave velocity model.
      In the near surface part (depth < 100 meter), we compare our S-wave velocity structures with the models estimated from PS-logger and SASW method. The results of array measurement in most stations of Taipei Basin and Lan-Yang Plain are very similar to results of PS-logger and SASW. It exhibit array measurement of microtremors is suitable for estimating velocity structure on alluvium plain. But these results in Longitudinal Valley are very different due to complex topographic and subsurface structure. We also try to improve our array measurement method to estimate well velocity structure in more complex geological area.
    Table of Content 第一章 緒論  1
    1.1 研究動機及目的  1
    1.2 研究流程  1
    1.3 文獻回顧  2
    1.4 內容簡介  4
    第二章 區域地質與構造  5
    2.1 台北盆地  5
    2.2 蘭陽平原  9
    2.3 花東縱谷  13
    2.4 部分測點鑽井地質概述15
    第三章 研究原理及方法32
    3.1 頻率-波數法32
    3.2 傳統表面波頻散曲線逆推法36
    3.3 基因演算法38
    第四章 野外工作與實驗室資料處理43
    4.1 野外工作43
    4.2 資料處理44
    第五章 結果與討論  58
    5.1 研究成果比較 58
    5.2 結論  62
    5.3 未來發展63
    參考文獻72
    附錄A77
    附錄B95
    附錄C105
    附錄D123
    附錄E141
    附錄F151
    英文摘要161
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    Advisor
  • Kuo-Liang Wen(溫國樑)
  • Files
  • 91622004.pdf
  • approve immediately
    Date of Submission 2004-07-05

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