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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳逸民(Yih-Min Wu) | |
| dc.contributor.author | Hsiang-Meng Yu | en |
| dc.contributor.author | 游翔孟 | zh_TW |
| dc.date.accessioned | 2021-06-17T06:37:52Z | - |
| dc.date.available | 2021-08-21 | |
| dc.date.copyright | 2018-08-21 | |
| dc.date.issued | 2018 | |
| dc.date.submitted | 2018-08-15 | |
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Seismological Research Letters, 84(6), 1048-1054. 28. Wu, Y. M., Chung, J. K., Shin, T. C., Hsiao, N. C., Tsai, Y. B., Lee, W. H., & Teng, T. L. (1999). Development of an integrated earthquake early warning system in Taiwan-Case for the Hualien area earthquakes. National Emergency Training Center. 29. Wu, Y. M., & Kanamori, H. (2005). Experiment on an onsite early warning method for the Taiwan early warning system. Bulletin of the Seismological Society of America, 95(1), 347-353. 30. Wu, Y. M., Lin, T. L., Chao, W. A., Huang, H. H., Hsiao, N. C., & Chang, C. H. (2011). Faster short-distance earthquake early warning using continued monitoring of filtered vertical displacement: A case study for the 2010 Jiasian, Taiwan, earthquake. Bulletin of the Seismological Society of America, 101(2), 701-709. 31. Wu, Y. M., Shin, T. C., & Tsai, Y. B. (1998). Quick and reliable determination of magnitude for seismic early warning. Bulletin of the Seismological Society of America, 88(5), 1254-1259. 32. Wu, Y. M., & Teng, T. L. (2002). A virtual subnetwork approach to earthquake early warning. Bulletin of the Seismological Society of America, 92(5), 2008-2018. 33. Wu, Y. M., Zhao, L., Chang, C. H., & Hsu, Y. J. (2008). Focal-mechanism determination in Taiwan by genetic algorithm. Bulletin of the Seismological Society of America, 98(2), 651-661. 34. 陳璽安 (2017) OpenACC 平行化與延用於網格式定位程式之開發及其在地震預警之應用，國立台灣大學理學院地質科學研究所，共35頁。 35. 黃信樺 (2007) 臺灣東北地區的地震構造：由碰撞末期轉變為隱沒拉張之構造特性，國立台灣大學理學院地質科學研究所，共110頁。 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/72364 | - |
| dc.description.abstract | 臺灣低價位高密度的強地動觀測網由大約700個地震站所組成，主要由P-Alert所組成，此地震網同時接收來自中央研究院地球科學研究所 (Institute of Earth Sciences, Academia Sinica, IESAS) 和國家地震工程研究中心 (National Center for Research on Earthquake Engineering, NCREE) 70個寬頻站的寬頻訊號，提供了良好的測站包覆性，有助於監測地震和決定震源機制解。在過去，地震網監測到的P波初動被用來決定震源機制解。本研究建立一套完整流程系統，當地震發生時，首先挑波器會自動的決定P波到時及判斷初動為上動或下動，並以中央處理器(Central Processing Unit, CPU) 平行計算，再利用等時差 (Equal Differential Time, EDT) 曲面定位法配合格點搜尋法來進行地震定位，同時利用OpenACC平行套件使用圖形運算處理器 (Graphic Processing Unit, GPU) 平行化加速定位的運作，最後利用基因演算法 (Genetic Algorithm , GA) 決定震源機制解，在CPU及GPU平行化計算下，這個系統可以在3到5分鐘內計算出震源與其機制解。 | zh_TW |
| dc.description.abstract | A dense low cost seismic network has been installed in Taiwan with about 700 stations. This network also receives 70 broadband seismic signals from Institute of Earth Sciences, Academia Sinica (IESAS) and National Center for Research on Earthquake Engineering (NCREE). It provides a good stations coverage for the earthquake monitoring as well as focal mechanism determination in Taiwan region. First-motion polarities from this network are used to determine focal mechanism. When an earthquake occurs, automatic picker will determine P arrivals and polarities of the first motion using Central Processing Unit (CPU) parallelization. Then, Equal Differential Time (EDT) surface and grid search methods are used to determine hypocenter location. The OpenACC parallel computing toolkit and Graphic Processing Unit (GPU) are used to reduce processing time. Finally, Genetic Algorithm (GA) method is used to determine focal mechanism. By CPU and GPU parallelization, this system can determine the hypocenter and focal mechanism within 3 to 5 minutes after an earthquake occurrence. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T06:37:52Z (GMT). No. of bitstreams: 1 ntu-107-R05224209-1.pdf: 4412774 bytes, checksum: 1e9449a48b588f8f754694a49a3a0662 (MD5) Previous issue date: 2018 | en |
| dc.description.tableofcontents | 口試委員會審定書 i
致謝 ii 中文摘要 iii ABSTRACT iv 目錄 v 圖目錄 viii 表目錄 xi 第一章 緒論.. 1 1.1 前言 1 1.2 研究動機與目的 2 第二章 文獻回顧 4 2.1 震源機制解 4 2.2 P波初動解與中央地震矩張量解的比較 4 2.3 自動化挑波的方法 5 2.3.1 STA/LTA 5 2.3.2 AIC 6 2.3.3 AMPD演算法 6 2.3.4 自動化挑波所遇到的常見問題 9 2.4 地震定位方法 11 2.5 基因演算法 13 第三章 研究方法 15 3.1 系統流程與平行運算 15 3.2 波相撿拾器 (Picker) 16 3.2.1 SNR1、SNR2、峰比值門檻定義 18 3.2.2 回溯窗格定義與回溯過程 19 3.2.3 SNR3、SNR4、振幅過零次數、到時差門檻定義 24 3.2.4 挑波品質 27 3.3 定位方法 28 3.4 震源機制解 29 第四章 研究結果與討論 31 4.1 P波到時位置結果 31 4.1.1 P-Alert、NCREE、BATS的測站波形展示 31 4.1.2 系統自動挑波與人工手動挑波到時差 34 4.2 定位結果 36 4.3 震源機制解結果 39 4.3.1 參考解的挑選 39 4.3.2 系統決定之震源機制與參考解的比較 41 4.3.3 系統測試CWB即時測站的波形 51 4.4 系統遇到的挑戰 54 4.4.1 資料品質不良 54 4.4.2 連續事件 55 4.4.3 深度在定位上的限制 58 第五章 結論.. 59 參考文獻 61 | |
| dc.language.iso | zh-TW | |
| dc.title | 利用高密度強地動觀測網開發震源機制初動解自動解算系統 | zh_TW |
| dc.title | Development of an Automatic Focal Mechanism Determination System Using First Motion Polarities from a Dense Strong Motion Network | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 106-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 梁文宗(Wen-Tzong Liang),黃信樺(Hsin-Hua Huang),陳達毅(Da-Yi Chen) | |
| dc.subject.keyword | 地震,震源機制解,平行計算, | zh_TW |
| dc.subject.keyword | Earthquake,focal mechanism,parallelization computing, | en |
| dc.relation.page | 64 | |
| dc.identifier.doi | 10.6342/NTU201803691 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2018-08-16 | |
| dc.contributor.author-college | 理學院 | zh_TW |
| dc.contributor.author-dept | 地質科學研究所 | zh_TW |
| 顯示於系所單位： | 地質科學系 | |
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