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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 劉倬騰(Cho-Teng Liu) | |
dc.contributor.author | Wei-Teng Tsai | en |
dc.contributor.author | 蔡維騰 | zh_TW |
dc.date.accessioned | 2021-06-16T13:15:30Z | - |
dc.date.available | 2016-08-07 | |
dc.date.copyright | 2013-08-07 | |
dc.date.issued | 2013 | |
dc.date.submitted | 2013-07-29 | |
dc.identifier.citation | 中文文獻
1. 林勝豐 (2005): 台灣海峽海潮流之研究, 國立台灣大學海洋研究所, 博士論文, pp.183。 2. 陳柏豐 (2009) 台灣海峽冬季流量觀測, 台灣大學海洋研究所, 碩士論文, pp.80。 3. 蔡維琳 (2010) 台灣海峽北部潮流的主要分量, 台灣大學海洋研究所, 碩士論文, pp.83。 4. 詹智丞 (2011) 2011 HF Radar Training Course 出國報告書. 國家實驗研究院台灣海洋科技研究中心, pp.13。 英文文獻 1. Barrick, D. E., M. W. Evens, and B. L. Weber (1977) “Ocean surface currents mapped by radar”, Science, 198, 138– 144. 2. Crombie, D. (1955) “Doppler spectrum of sea echo at 13.56 Mc/s”, Nature, vol. 175, pp. 681-682. 3. Davis, R. E., R. deSzoeke, and P. P. Niiler (1981) Variability in the upper ocean during MILE. I: The heat and momentum balances. Deep-Sea Res., 28A, 1427–1451. 4. Egbert, G. D., A. F. Bennett, and M. G. G. Foreman (1994) “TOPEX/POSEIDON tides estimated using a global inverse model”, J. Geophys. Res., 99, 24821-24852. 5. Egbert, G. D. and S. Y. Erofeeva (2002) “Efficient inverse modeling of barotropic ocean tides”, J. Atmos. Oceanic Tech., 19, 183-204. 6. Ekman, V. W. (1905) “On the influence of the earth's rotation on ocean-currents”, Arkiv for Matematik, Astronomi, och Fysik: 2 (11). 7. Gopalakrishnan G. (2008) ”Surface current observations using high frequency radar and its assimilation into the New York Harbor observing and prediction system”, PhD thesis, Stevens Institute of Technology. 8. Jan, S., J. Wang, C.-S. Chern, and S.-Y. Chao (2002) “Seasonal variation of the circulation in the Taiwan Strait”, J. Mar. Syst., 35, 249–268. 9. Jan, S., D. D. Sheu, and H.-M. Kuo (2006) “Water mass and throughflow transport variability in the Taiwan Strait”, J. Geophys. Res., 111, C12012. 10. Kohut, J. T., H. J. Roarty, and S. M. Glenn (2006) “Characterizing observed environmental variability with HF Doppler Radar surface current mappers and Acoustic Doppler Current Profilers: Environmental Variability in the Coastal Ocean Seasonal current variability on the New Jersey inner shelf.”, IEEE J. Ocean. Engr, OE-31, 876-884. 11. Lin, S. F., T. Y. Tang, S. Jan, and C.-J. Chen (2005) “Taiwan Strait current in winter.”, Cont. Shelf Res., 25, 1023–1042. 12. Matsuoka, T., K. Sato, S. Kojima, and S. Fujii (2003) “HF ocean radar observation of surface currents induced by a typhoon in the East China Sea”, IEEE Proceedings of International Geoscience and Remote Sensing Symposium 2003, No. I-F05-03. 13. Muscarella, P. A., N. P. Barton, B. L. Lipphardt Jr., D. E. Veron, K. C. Wong, and A. D. Kirwan Jr. (2011) “Surface currents and winds at the Delaware Bay mouth”, Cont. Shelf Res., vol. 31, no. 12, 1282-1293. 14. Oey, L. –Y., G. L. Mellor, and R. I. Hires, (1985) “A three-dimensional simulation of the Hudson-Raritan estuary. Part II: Comparison with observation”, J. Phys. Oceanography., 15, 1693-1709. 15. Paduan, J. D. and H. C. Graber, 1997: “Introduction to High-Frequency radar: Reality and myth”, Oceanography,10, 36–39. 16. Pawlowicz, R., B. Beardsley, and S. Lentz (2002) “Classical tidal harmonic analysis including error estimates in MATLAB using T_TIDE”, Computers & Geosciences., 28, 929-937. 17. Ralph, E. A. and P. Niiler (1999) “Wind-driven currents in the tropical Pacific”, J. Phys. Oceanogr., 29, 2121–2129. 18. RD Instruments (1996) “Acoustic Doppler Current Profiler: Principles of Operation a Practical Primer”, 2nd ed. San Diego, CA: RD Instruments, Jan. 1996. 19. Shearman, E.D.R., (1981) “Remote sensing of ocean waves, currents and surface winds by deka metric radar”, In: Remote Sensing in Meteorology, Oceanography and Hydrology. A.P. Cracknell, ed. Ellis Horwood, London, 312-335. 20. Stewart, R. H. and J. W. Joy (1974) “HF radio measurements of surface currents”, Deep Sea Res., 21, 1039– 1049. 21. Teague, C. C., John F. Vesecky, and Zackariah R. Hallock, (2001) “A comparison of multi-frequency HF radar and ADCP measurements of near-surface currents during COPE-3”, IEEE J. Ocean. Engr, vol. 26, no. 3, pp. 399-405. 22. Wang, Y. H., S. Jan, and D. P. Wang (2003) “Transports and tidal current estimates in the Taiwan Strait from shipboard ADCP observations (1999–2001)”, Estuar., Coast. Shelf Sci., 57,193–199. 23. Wu, C.-R. and Y. C. Hsin (2005) “Volume transport through the Taiwan Strait: a numerical study”, Terr. Atomos. Oceanic Sci.,16, 377–391. 參考網站 1. 彭佳嶼氣象站: http://www.cwb.gov.tw/V7/eservice/docs/overview/organ/stations/46695/index.htm 2. 新華航業股份有限公司: http://www.shinhwa.com.tw/ 3. CODAR OCEAN SENSORS http://www.codar.com/index.htm 4. OSU TPXO Model: http://volkov.oce.orst.edu/tides/ 5. Physical Oceanography Distributed Active Archive Center (PO.DAAC): http://podaac.jpl.nasa.gov/dataset/ASCATA-L2-Coastal 6. Teledyne RD Instruments: http://www.rdinstruments.com/ 7. TORI CODAR: http://med.tori.org.tw/CODAR/ 8. Woods Hole Science Center, Air-Sea toolbox: Uhttp://woodshole.er.usgs.gov/operations/sea-mat/index.htmlU | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/61845 | - |
dc.description.abstract | 台灣海峽為連接南海與東海的重要通道,海峽流量及物質通量,像是營養鹽的輸送或熱量的交換等,決定了兩區域物質交換的方向與速率。冬季時因海況不佳,研究船之觀測資料難以逐日推估台灣海峽之海水傳輸量Q(Sv),而傳統利用底置式錨錠陣列之量測方式,從以往至現在僅有2.5月的完整資料。藉由往返台灣及馬祖的台馬輪底部裝設船載ADCP,在橫跨台灣海峽都會收集當時當地的全深度流速資料也可以估算Q。本文嘗試使用高頻雷達測流儀所量測到的表層流場資料與風場資料來推估台灣海峽的日平均流量。該組高頻雷達測流儀是由台灣海洋科技研究中心(TORI)架設於台灣西北海岸。
經過驗證以及測試雷達測流儀的資料後,評估該資料的適用海域,並試著將風驅效應從雷達測表層流中去除掉,計算出正壓海流之大小以及地轉流的海水單位寬度傳輸量(Sv/m)。在台灣海峽東側接近雷達站的表層流場資料品質較佳,故只擷取120.854°E至121.335°E範圍的海流流量與sb-ADCP所量測到的流量做比較。 分別利用(A)相關係數分析以及(B)Matsuoka et al. (2003)的風速轉換風驅流的經驗係數(風驅流大小為風速的3.4%,方向則為風向順時針轉37度),扣除2012年9月至12月的風驅流效應後所推估120.854°E至121.335°E範圍之流量q為(A)0.67 Sv、(B)0.78 Sv。同時段由台馬輪量測的q=0.64 Sv, 如果雷達資料可以涵蓋全台灣海峽,則q 等同於 Q。 | zh_TW |
dc.description.abstract | Taiwan Strait (TS) connects the South China Sea and East China Sea (ECS). The transport of water, nutrient and heat through TS is important to the marine ecosystem in TS and ECS. However, measuring the flow velocity and the transport in Taiwan Strait is a very difficult task. There are much fewer winter surveys in TS, and there is only one set of 2.5-month data from bottom-mount ADCP array. The ship-board ADCP on TaiMa ferry collects nearly daily velocity field U between Keelung and Matsu, except during days of severe sea states. The total volume transport Q through TS is derived from integrating U across TS. High frequency radars, like the CODAR stations that were built and operated by Taiwan Ocean Research Center may provide hourly data of surface current velocity Vc. After testing the accuracy of Vc, finding the area where Vc gives good M2 tidal current data, and removing the wind induced current velocity from Vc, one may derive (1) the barotropic velocity Vbt, or the vertically averaged velocity and (2) the transport per unit width. The result is compared with the sb-ADCP data from Taima ferry. The volume transport q crossing the cruise line between 120.854°E and 121.335°E is (A) q=0.67 Sv, if Vbt is derived from the correlation between Vbc(z) =Vc-Va(z) and the wind, or (B) q=0.78 Sv if Vbt = Vc – Vw, where Vw is the wind-driven surface velocity that was proposed by Matsuoka (2003), i.e. Vw equals 3.4% of wind speed, in the direction 37 degrees clockwise from the wind direction. Taima ferry measured q being 0.64 Sv. If CODAR coverage may extend across TS, then q becomes Q. | en |
dc.description.provenance | Made available in DSpace on 2021-06-16T13:15:30Z (GMT). No. of bitstreams: 1 ntu-102-R99241107-1.pdf: 6124799 bytes, checksum: c40674bd5d907b04f26732150ed36b92 (MD5) Previous issue date: 2013 | en |
dc.description.tableofcontents | 摘 要 i
Abstract ii 目 錄 iii 圖目錄 vi 表目錄 xi 詞彙表 xii 符號表 xiii 第一章 緒論 1 1-1 研究背景 1 1-2 文獻回顧 1 1-3 研究動機與目標 5 第二章 使用資料及方法介紹 7 2-1 台馬輪及儀器介紹 7 2-1a 台馬輪 7 2-1b 船載式都卜勒剖流儀原理 7 2-1c ADCP儀器本身 8 2-1d 全球定位系統(GPS)及姿態儀(Attitude sensor) 10 2-2 OSU模式 11 2-3 高頻雷達測流系統 13 2-3a 高頻雷達測流原理 13 2-3b 雷達測站硬體資訊 15 2-3c 雷達資料 17 2-4風場資料 19 2-4a 彭佳嶼測站及資料介紹 19 2-4b 衛星風場ASCAT資料介紹 20 第三章 資料分析及討論 21 3-1 台馬輪資料 21 3-1a 觀測及採樣時間: 21 3-1b 流量 21 3-2 高頻雷達測流資料 23 3-2a 觀測時間: 23 3-2b 驗證工作: 23 3-3 雷達資料與潮流模式資料的比較與修正 29 3-4 雷達資料與風速資料的比較 33 3-5 雷達資料、ADCP及風場資料與風驅流層的關係 37 3-6 不同觀測方式的風場之選定 44 3-7 利用表層海流與風場推估台灣海峽之流量 47 第四章 總結及未來展望 56 4-1 總結 56 4-2 未來展望 57 參考文獻 59 中文文獻 59 英文文獻 59 參考網站 61 | |
dc.language.iso | zh-TW | |
dc.title | 利用雷達測流推估台灣海峽在冬季之海水傳輸量 | zh_TW |
dc.title | Estimating Volume Transport in Taiwan Strait in Winter by Using HF Radar | en |
dc.type | Thesis | |
dc.date.schoolyear | 101-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 范光龍(Kuang-Lung Fan),許明光(Ming-Kuang Hsu) | |
dc.subject.keyword | 高頻雷達,台灣海峽,流量, | zh_TW |
dc.subject.keyword | CODAR,Taiwan Strait,Volume Transport, | en |
dc.relation.page | 62 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2013-07-29 | |
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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