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研究生:沈振勝
研究生(外文):Shen-Chen Sheng
論文名稱:以地震儀陣列及基因演算法推估近地表剪力波波速
論文名稱(外文):The near surface shear wave velocity structure under a portable seismic rray inverted by genetic algorithm
指導教授:溫 國 樑
指導教授(外文):Wen, Kuo-Liang
學位類別:碩士
校院名稱:國立中央大學
系所名稱:地球物理研究所
學門:自然科學學門
學類:地球科學學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:90
中文關鍵詞:基因演算法陣列微地動
外文關鍵詞:microtremorarray
相關次數:
  • 被引用被引用:4
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本研究主要是參考美、日兩國之經驗,以地震儀陣列量測微地動資料來推估淺層沈積層之剪力波速度構造之方法。包括從野外施測步驟,反覆驗證後取得測區之微地動資料,到室內進行頻率-波速分析求取表面波頻散曲線,然後執行多次基因演算法逆推得淺層剪力波速度構造,最後以傳統表面波頻散曲線逆推技術,進一步修正此速度模型。
本研究主要施測的地區為台北關渡(關渡大橋北岸右側數百公尺空地上)及921受創嚴重的埔里盆地,在研究中發現近地表之剪力波速度應呈梯度增加之形態;以關渡地區為例,在深度約400-700公尺處應為基盤之所在位置,而埔里盆地地區,則在不同深度(10-25公尺)會碰到約1.0-1.4km/s之高速層(礫石層)。但詳細深度必須有更低頻之訊號才能解析得出。目前結果只能確定該處應有-『高速基盤』,如此計算的頻散曲線才能與陣列觀測的相速度吻合。
Follow Japan and United States seismologists' experience, We developed a method to estimate the near surface sediment's shear wave velocity structure by using microtremor data which measured from a portable seismic array. This method includes the data acquisition procedures for the field works and the analysis in the laboratory. The analysis procedures can be categorized as (1) Frequency-Wavenumber analysis to get the dispersion curve, (2) to search the good velocity models using genetic algorithm, and (3) to refine the GA searched model using traditional surface wave inversion technique.
In this study, we applied our method to Guendu, Taipei and Puli basin. Puli basin is seriously damaged the 921 chi-chi earthquake. From our analysis, we found that the velocity is gradually increasing for the near surface sediments. The results show that the high speed basement appear in the depth of 400-700m for Guendu, and roughly about 10-25m deep for Puli basin.
摘要 ……………………………………………………………… i
誌謝 ……………………………………………………………… ii
目錄 ……………………………………………………………… iii
圖目 ……………………………………………………………… v
表目 ……………………………………………………………… xi
第一章緒論
1-1 研究動機1
1-2 文獻回顧2
1-3 本文內容4
第二章原理與方法
2-1 頻率-波數的分析 5
2-1.1 Beam Forming Method (BFM) 6
2-1.2 Maximun Likelihood Method (MLM) 9
2-2 傳統表面波頻散曲線逆推方法簡介11
2-3 基因演算法 (Genetic Algorithms)13
第三章野外觀測
3-1 野外觀測25
3-2 關渡地區28
3-3 埔里盆地30
第四章 結論
4-1 結果與討論71
4-2 未來改進方向71
參考文獻 74
英文摘要 77
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