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  1. NTU Theses and Dissertations Repository
  2. 理學院
  3. 海洋研究所
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79452
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor柯彥廷(Yen-Ting Ko)
dc.contributor.authorTsung-Lin Tsaien
dc.contributor.author蔡宗霖zh_TW
dc.date.accessioned2022-11-23T09:00:51Z-
dc.date.available2022-02-16
dc.date.available2022-11-23T09:00:51Z-
dc.date.copyright2022-02-16
dc.date.issued2022
dc.date.submitted2022-02-11
dc.identifier.citation1. Saito, Tatsuhiko, and Jun Kawahara. 'Retrieval of long-wave tsunami Green’s function from the cross-correlation of continuous ocean waves excited by far-field random noise sources on the basis of a first-order Born approximation.' Earth, planets and space 64.1 (2012): 43-48. DOI: 10.5047/eps.2011.08.020 2. Abdolali, Ali, Usama Kadri, and James T. Kirby. 'Effect of water compressibility, sea-floor elasticity, and field gravitational potential on tsunami phase speed.' Scientific reports 9.1 (2019): 1-8. DOI: 10.1038/s41598-019-52475-0 3. Kubo, Rep. 'The fluctuation-dissipation theorem.' Reports on progress in physics 29.1 (1966): 255. DOI: 10.1088/0034-4885/29/1/306 4. Claerbout, Jon F. 'Synthesis of a layered medium from its acoustic transmission response.' Geophysics 33.2 (1968): 264-269. DOI: 10.1190/1.1439927 5. Lobkis, Oleg I., and Richard L. Weaver. 'On the emergence of the Green’s function in the correlations of a diffuse field.' The Journal of the Acoustical Society of America 110.6 (2001): 3011-3017. DOI: 10.1121/1.1417528 6. Wapenaar, Kees, et al. 'Tutorial on seismic interferometry: Part 1—Basic principles and applications.' Geophysics 75.5 (2010): 75A195-75A209. DOI: 10.1190/1.3457445  7. Wapenaar, Kees, et al. 'Tutorial on seismic interferometry: Part 2—Underlying theory and new advances.' Geophysics 75.5 (2010): 75A211-75A227. DOI: 10.1190/1.3463440 8. Shapiro, Nikolai M., and Michel Campillo. 'Emergence of broadband Rayleigh waves from correlations of the ambient seismic noise.' Geophysical Research Letters 31.7 (2004). DOI: 10.1029/2004GL019491 9. Bensen, G. D., et al. 'Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements.' Geophysical journal international 169.3 (2007): 1239-1260. DOI: 10.1111/j.1365-246X.2007.03374.x 10. Bernard, Eddie, and Vasily Titov. 'Evolution of tsunami warning systems and products.' Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373.2053 (2015): 20140371. DOI: 10.1098/rsta.2014.0371 11. Bezuidenhout, L. J., et al. 'Rayleigh group velocity extraction from ambient seismic noise to map the south Eastern Cape Karoo region, South Africa.' South African Journal of Geology 2017 120.3 (2017): 341-350. DOI: 10.25131/gssajg.120.3.341 12. Campillo, Michel, and Anne Paul. 'Long-range correlations in the diffuse seismic coda.' Science 299.5606 (2003): 547-549. DOI: 10.1126/science.1078551 13. Clements, Timothy, and Marine A. Denolle. 'Tracking groundwater levels using the ambient seismic field.' Geophysical Research Letters 45.13 (2018): 6459-6465. DOI: 10.1029/2018GL077706 14. Crowder, E., et al. 'New insights into North Sea deep crustal structure and extension from transdimensional ambient noise tomography.' Geophysical Journal International 224.2 (2021): 1197-1210. DOI: 10.1093/gji/ggaa475 15. Groos, J. C., S. Bussat, and J. R. R. Ritter. 'Performance of different processing schemes in seismic noise cross-correlations.' Geophysical Journal International 188.2 (2012): 498-512. DOI: 10.1111/j.1365-246X.2011.05288.x 16. Gusman, Aditya Riadi, et al. 'Fault slip distribution of the 2016 Fukushima earthquake estimated from tsunami waveforms.' Pure and Applied Geophysics 174.8 (2017): 2925-2943. DOI: 10.1007/s00024-017-1590-2 17. Nooghabi, Aida Hejazi, et al. 'Coda reconstruction from cross-correlation of a diffuse field on thin elastic plates.' Physical Review E 96.3 (2017): 032137. DOI: 10.1103/PhysRevE.96.032137 18. Larose, Eric, et al. 'Imaging from one-bit correlations of wideband diffuse wave fields.' Journal of Applied Physics 95.12 (2004): 8393-8399. DOI: 10.1063/1.1739529 19. Lecocq, Thomas, Corentin Caudron, and Florent Brenguier. 'MSNoise, a python package for monitoring seismic velocity changes using ambient seismic noise.' Seismological Research Letters 85.3 (2014): 715-726. DOI: 10.1785/0220130073 20. LeVeque, Randall J., David L. George, and Marsha J. Berger. 'Tsunami modelling with adaptively refined finite volume methods.' Acta Numerica 20 (2011): 211-289. DOI: 10.1017/S0962492911000043 21. Malcolm, Alison E., John A. Scales, and Bart A. van Tiggelen. 'Extracting the Green function from diffuse, equipartitioned waves.' Physical Review E 70.1 (2004): 015601. DOI: 10.1103/PhysRevE.70.015601 22. Mordret, Aurélien, et al. 'Monitoring southwest Greenland’s ice sheet melt with ambient seismic noise.' Science advances 2.5 (2016): e1501538. DOI: 10.1126/sciadv.1501538 23. Sajid, Muhammad, and Deva Ghosh. 'A fast and simple method of spectral enhancement.' Geophysics 79.3 (2014): V75-V80. DOI: 10.1190/geo2013-0179.1 24. Shapiro, Nikolai M., et al. 'High-resolution surface-wave tomography from ambient seismic noise.' Science 307.5715 (2005): 1615-1618. DOI: 10.1126/science.1108339 25. Stehly, L., Michel Campillo, and N. M. Shapiro. 'A study of the seismic noise from its long‐range correlation properties.' Journal of Geophysical Research: Solid Earth 111.B10 (2006). DOI: 10.1029/2005JB004237 26. Tsai, Victor C. 'On establishing the accuracy of noise tomography travel-time measurements in a realistic medium.' Geophysical Journal International 178.3 (2009): 1555-1564. DOI: 10.1111/j.1365-246X.2009.04239.x 27. Wang, Xiaoming, and Philip L-F. Liu. 'An analysis of 2004 Sumatra earthquake fault plane mechanisms and Indian Ocean tsunami.' Journal of Hydraulic Research 44.2 (2006): 147-154. DOI: 10.1080/00221686.2006.9521671 28. Wapenaar, Kees, and Jacob Fokkema. 'Green’s function representations for seismic interferometry.' Geophysics 71.4 (2006): SI33-SI46. DOI: 10.1190/1.2213955 29. Yen, Eric, et al. 'Knowledge-Building Approach for Tsunami Impact Analysis Aided by Citizen Science.' Frontiers in Earth Science (2020): 315. DOI: 10.3389/feart.2020.00315 30. Zhang, Jian, and Xiaoning Yang. 'Extracting surface wave attenuation from seismic noise using correlation of the coda of correlation.' Journal of Geophysical Research: Solid Earth 118.5 (2013): 2191-2205. DOI: 10.1002/jgrb.50186 31. Banerji, S. K. 'Microseisms associated with the incidence of the south-west monsoon.' Nature 114.2868 (1924): 576-576. DOI: 10.1038/114576b0 32. Seismological Society of America, and HighWire Press. Bulletin of the Seismological Society of America. Vol. 10. Seismological Society of America, 1920. DOI: 10.1785/BSSA0100010045 33. Lee, A. W. 'On the direction of approach of microseismic waves.' Proceedings of the Royal Society of London. Series A-Mathematical and Physical Sciences 149.866 (1935): 183-199. DOI: 10.1098/rspa.1935.0056 34. Coastal Engineering Research Center (US). Shore protection manual. Vol. 1. Department of the Army, Waterways Experiment Station, Corps of Engineers, Coastal Engineering Research Center, 1984. DOI: 10.5962/bhl.title.47829 35. Dean, Robert G., and Robert A. Dalrymple. Water wave mechanics for engineers and scientists. Vol. 2. world scientific publishing company, 1991. DOI: 10.1142/9789812385512_0001 36. Nooghabi, Aida Hejazi, et al. 'Coda reconstruction from cross-correlation of a diffuse field on thin elastic plates.' Physical Review E 96.3 (2017): 032137. DOI: 10.1103/PhysRevE.96.032137
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/79452-
dc.description.abstract在21世紀因為數個劇烈地震產生的海嘯已經帶來了嚴重的損失。為了減少自然災害帶來的損失,必須發展海嘯預警系統。現今有兩種主要的方法監測海嘯,一個是DART(Deep-ocean Assessment and Reporting of Tsunami)系統另一個是透過COMCOT(Cornell Multi-grid Coupled Tsunami model)軟體進行數值模擬。DART是透過海嘯儀連接浮標可以提供即時偵測的資訊,而COMCOT是主要是透過淺水波方程式模擬海嘯傳遞行為來預估到時。以上的兩種方法都需要很高的成本且沒辦法有效的預測近岸所產生的海嘯。 從噪訊地震學中任意測站對記錄的連續資料互相關結果可以近似於測站間的格林函數得到了啟發。近年來,已經有許多透過噪訊資料進行互相關的研究且得到很好的結果。模擬上,Saito和Kawahara將模擬噪訊源所激發的海洋訊號傳遞至兩側站的結果進行互相關,發現其結果會近似於水體的的格林函數。而本研究將會驗證實際海洋噪訊互相關函數結果可否建立可信的水體特徵函數,如果可行,將可以有效的減少近域海嘯帶來的傷亡及破壞。zh_TW
dc.description.provenanceMade available in DSpace on 2022-11-23T09:00:51Z (GMT). No. of bitstreams: 1
U0001-1002202201231500.pdf: 9098632 bytes, checksum: 636d6a305ddbe6a91279774322c0b8fa (MD5)
Previous issue date: 2022
en
dc.description.tableofcontents目 錄 口試委員會審定書 I 致謝 II 摘要 III ABSTRACT IV 目 錄 V 圖目錄 VII 表目錄 IX 第一章 緒論 1 1.1海嘯 1 1.1.1 海嘯的成因與發展過程 1 1.1.2臺灣歷史上的海嘯 4 1.1.3 海嘯預警系統 6 1.2 環境噪訊在地球科學上的發展 9 1.3 研究動機與目標 11 第二章 背景理論 12 2.1 環境噪訊 12 2.2 互相關 16 2.3 MSNOISE 18 2.4 海嘯 19 2.4.1 波浪運動 19 2.4.2 海嘯發生時的水體運動以及能量 19 2.5 COMCOT 21 2.5.1 控制方程式 22 2.5.1.1 線性淺水波方程式 22 2.5.1.2非線性淺水波方程式 23 第三章 資料處理 24 3.1 資料來源 24 3.2 資料處理流程 28 3.3 原始資料處理 30 3.4 資料正規化處理 38 3.4.1 時間域正規化處理 38 3.4.2 頻率域正規化處理 40 3.5 堆疊 41 第四章 結果與討論 45 4.1 正規化討論 45 4.2 CCF疊加與時間變化 47 4.3 實際地震、COMCOT模擬及水體噪訊互相關結果 52 4.3.1 2021/08/05外海地震COMCOT模擬結果與實際潮位紀錄 52 4.3.2 EOS2位置COMCOT模擬結果與實際潮位紀錄 55 4.3.3 CCF結果探討 58 4.3.3.1 時間修正 58 4.3.3.2 路徑影響 64 第五章 結論 66 參考文獻 68
dc.language.isozh-TW
dc.title從海洋噪訊中重建水體特徵函數zh_TW
dc.titleReconstruction of Water Eigenfunction from Oceanic Ambient Noiseen
dc.date.schoolyear110-1
dc.description.degree碩士
dc.contributor.oralexamcommittee黃信樺(Chen-Chi Wu),洪淑蕙,陳映年
dc.subject.keyword環境噪訊,互相關函數,海嘯預警系統,淺水波理論,海洋噪訊,zh_TW
dc.subject.keywordAmbient Noise,Cross-correlation Function,Tsunami Warning System,Shallow Water Equation,Oceanic Noise,en
dc.relation.page73
dc.identifier.doi10.6342/NTU202200496
dc.rights.note同意授權(全球公開)
dc.date.accepted2022-02-13
dc.contributor.author-college理學院zh_TW
dc.contributor.author-dept海洋研究所zh_TW
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