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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 郭本垣 | |
| dc.contributor.author | Chung-Hung Lo | en |
| dc.contributor.author | 羅仲宏 | zh_TW |
| dc.date.accessioned | 2021-05-12T09:37:37Z | - |
| dc.date.available | 2018-08-19 | |
| dc.date.available | 2021-05-12T09:37:37Z | - |
| dc.date.copyright | 2018-08-19 | |
| dc.date.issued | 2018 | |
| dc.date.submitted | 2018-08-14 | |
| dc.identifier.citation | Abercrombie Rachel E. (1995). Earthquake source scaling relationships from −1 to 5 ML using seismograms recorded at 2.5-km depth. Journal of Geophysical Research: Solid Earth, 100(B12), 24015-24036.
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/handle/123456789/1377 | - |
| dc.description.abstract | 斷層在中深部 (50 - 300 km) 高岩壓環境下的破裂機制目前尚有爭論。溫度、壓力與區域應力場的差別，均會對破裂機制產生不同的影響，進而決定斷層的破裂行為。連續深度剖面的震源參數提供了解不同深度破裂機制的機會。本研究分析地震波頻譜，計算深層地震包含拐角頻率、地震矩、應力降、地震波輻射能量、地震波幅射效率在內的震源參數，嘗試為深層地震的發生機制提供約束。
本研究利用群組地震法大幅減少逆推過程中的未知參數，有效分拐角頻率與路徑衰減對頻譜的影響。群組地震法的核心概念為建構多重震源-測站對能嚴謹地定義共同路徑Q與各自震源的fc，由觀測的資料同時決定震源與路徑衰減，以解決在頻譜上拐角頻率與路徑衰減之間的非線性關係。 本研究擷取IRIS資料中心144個分布於阿拉斯加隱沒帶的地震，規模介於3到5之間，震源深度90到170 km，並計算中深部地震動態與靜態的震源參數。結果顯示，拐角頻率與地震矩呈現清楚的逆相關，鞏固了逆推架構與結果的可信度。而拐角頻率、應力降、地震波輻射能量等各個震源參數的計算結果，符合地震理論的自我相似性規範。 阿拉斯加隱沒帶的震源特性具有高應力降 (18.34 ± 1.1 MPa) 與低地震波輻射效率 (0.27) 的特徵。暗示或許在阿拉斯加隱沒帶，深層地震的發生機制主導於熱失控模型。脫水脆化作用釋放出的水可能為熱失控模型的催化劑，而在地震波研究上僅看得出熱失控模型的特徵。本論文認為兩者是相輔相成的關係，共同為中深部地震的發生機制。 | zh_TW |
| dc.description.abstract | The Alaska subduction zone is known as an active subduction zone where earthquakes occur at high rate and widespread along the trench and down dip of the slab. In recent years, increasing numbers of seismic arrays have been installed in Alaska region that significantly increased aperture of observations. It provides an opportunity to systematically investigate depth-varying seismic source characteristics in subduction zone. The source characteristics can reflect the rupture behaviors of fault, but the differences in rupture behaviors as a function of depth are still notably debated. In this study, we employed a cluster-event method (CEM) to constrain the source parameters as well as along-path attenuation in the Alaska subduction zone. Neighborhood algorithm is applied to solve the nonlinear inverse problem. Using 40 stations from IRIS data management center, we analyzed 144 Alaska local earthquakes spreading over a depth range from surface to several hundred kilometers and a seismic magnitude range from 3 to 5 in 2012~2017. These source parameters are then converted to stress drop and radiated energy at different depths. The fc’s satisfy a self-similar scaling relationship with seismic moment of f_c∝〖M_0〗^(-3) with a mean stress drop of 18.34 ± 1.10 MPa in Madariaga’s form (Vs model). The lower radiation efficiency and higher stress drop might imply the shear heating instability and dehydration embrittlement as the same important faulting mechanisms for intermediate-depth earthquakes. | en |
| dc.description.provenance | Made available in DSpace on 2021-05-12T09:37:37Z (GMT). No. of bitstreams: 1 ntu-107-R05241304-1.pdf: 15436705 bytes, checksum: 0363696af25529b990dfd6243f4c7d46 (MD5) Previous issue date: 2018 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
致謝 ii 摘要 iii Abstract iv 目錄 iv 圖目錄 vii 表目錄 ix 第一章 緒論 1 1.1 中深部地震成因之假說 1 1.2 拐角頻率與時間的制衡關係 (fc-t* trade-off) 2 1.3 阿拉斯加隱沒帶概述 3 第二章 研究方法 5 2.1 群組地震法 (Cluster-Event Method, CEM) 5 2.2 fc、t*與地震波頻譜估計 7 2.3 鄰域演算法 (Neighborhood Algorithm, NA) 10 第三章 資料處理與分析 13 3.1 資料來源 13 3.2 資料處理流程 14 3.2.1資料前處理-P 波到時 14 3.2.2資料篩選標準- SNR、PCR 16 3.3 地震群組組成 18 3.4 CEM-NA的殘差值計算 20 第四章 逆推結果與震源參數 23 4.1 CEM-NA之逆推結果 23 4.1.1資料擬合 23 4.1.2 CEM-NA的逆推範例地震 24 4.1.3跨群組事件的fc 26 4.2 靜態震源參數計算 27 4.2.1地震矩 (Seismic moment, M0) 27 4.2.2靜態應力降 (Stress drop, Δσ) 30 4.3動態震源參數計算 32 4.3.1地震體波輻射能 (Radiated Energy, ER) 32 4.3.2地震波輻射效率 (Radiation Efficiency, ηR) 34 第五章 討論 36 5.1 CEM群組組成辨析 36 5.1.1 群組組成的極端例子 36 5.1.2 ST近似 (ST Asymptotic) 41 5.2逆推參數測試 43 5.2.1 殘差值權重設定 43 5.2.2 fc上限值設定 45 5.3 阿拉斯加隱沒帶之震源參數討論 46 5.3.1應力降與深度 46 5.3.2比例能量與深度 48 5.3.3地震波輻射效率與深度 49 5.3.4震源參數計算常數之假設 51 5.3.5阿拉斯加隱沒帶中深部地震的可能機制 52 5.4 阿拉斯加隱沒帶之本質衰減趨勢 53 第六章 結論 55 參考資料 56 附錄A 鄰域演算法 60 A.1最佳化問題 60 A.2基本名詞解釋 61 A.3 NA計算效率 69 A.4 NA邊界決定 (Intersection) 70 A.5 NA控制參數 (nr、ns) 71 附錄B 多重視窗頻譜法 73 B.1 窗函數 (Window Function ; Taper) 73 B.2 橢球窗函數 (Slepian sequences) 75 B.3 多重視窗頻譜法 (Multi-taper) 76 附錄C 選用地震與測站資訊 78 附錄D 波形擬合展示 84 | |
| dc.language.iso | zh-TW | |
| dc.subject | 中深部地震破裂機制 | zh_TW |
| dc.subject | 群組地震法 | zh_TW |
| dc.subject | 鄰域演算法 | zh_TW |
| dc.subject | 震源參數 | zh_TW |
| dc.subject | neighborhood algorithm | en |
| dc.subject | source parameter | en |
| dc.subject | faulting mechanisms for intermediate-depth earthquakes | en |
| dc.subject | cluster event method | en |
| dc.title | 利用群組地震法探討阿拉斯加隱沒帶的震源特性 | zh_TW |
| dc.title | The Seismic Source Characteristics in the Alaska Subduction Zone Determined by the Cluster Event Method | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 106-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.coadvisor | 喬凌雲 | |
| dc.contributor.oralexamcommittee | 梁文宗,曾泰琳,黃信樺 | |
| dc.subject.keyword | 群組地震法,鄰域演算法,震源參數,中深部地震破裂機制, | zh_TW |
| dc.subject.keyword | cluster event method,neighborhood algorithm,source parameter,faulting mechanisms for intermediate-depth earthquakes, | en |
| dc.relation.page | 107 | |
| dc.identifier.doi | 10.6342/NTU201803102 | |
| dc.rights.note | 同意授權(全球公開) | |
| dc.date.accepted | 2018-08-15 | |
| dc.contributor.author-college | 理學院 | zh_TW |
| dc.contributor.author-dept | 海洋研究所 | zh_TW |
| 顯示於系所單位： | 海洋研究所 | |
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