臺灣博碩士論文加值系統

本文在考濾風向分區及波浪分類下，以迴歸分析建立臺北港風速與波浪的關係。採用的風速及波浪資料為港研中心於臺北港外海觀測樁的2010及2012年的觀測值。本文首先探討海陸風轉向時間發現，海陸風轉向的月份常發生在5-9月，而在2010年及2012年的陸風轉海風的平均時間分別為8時30分及8時50分，而下午海風轉陸風的平均時間分別為17時10分及17時。

本文測試三種不同風向分區後，獲得臺北港合適的分區風向方位角 25o 、70o 、205o 、250o。以二次多項式迴歸海風、陸風、西南風及東北風等四區的波高與風速後，合併計算值，再與實測值比較，二者的R2=0.66及RMSE =0.40 m。此二個檢驗指標比不考慮分區的全年樣本的結果(R2= 0.63及RMSE= 0.41m) 為佳。

本文依PM波譜法分類成2010年的波浪分成湧浪、成熟風浪、成長風浪，若再將各類波浪細分風向成4區後，共獲得12組資料。分別進行迴歸，再合併計算結果成全年波高，其與實測值比較的R2=0.76及RMSE =0.33。本文證實同時考慮波浪分類及風向分區的波高與風速而有相似統計特性時，迴歸分析的模式表現會明顯優於只考慮風向分區或波浪分類的結果。

This paper investigates the relationship between wave heights and wind speeds using quadratic polynomial regression analysis considering clusters of wind directions and kinds of wave properties. The data of wind and at the observation pole of the Taipei harbor for 2010 and 2012 wave were measured by the Harbor and Marine Technology center. The phenomenon of changing sea/land breezes during each day commonly occurs from May to September. The time of changing land breeze into sea breeze is about am 8:30 and am 8:50 and the time of changing sea breeze into land breeze is about pm 17:10 and pm 17:00, respectively, for 2010 and 2012.
Three kinds of clustering wind directions were examined. Separated azimuths of wind directions being 25o, 70o, 205o and 250o are suggested. Higher R2=0.66 and RMSE =0.40 m in model performance are evaluated depending on clusters of wind dirctions than those of R2= 0.63and RMSE= 0.41m by whole the data.

Based on the Pierson &; Moskowitz (1964) spectrum observed waves are separated into swells, growing waves and fully developed seas of which are divided into 12 groups of date by 4 clusters of wind directions. Calculated wave heights by the fitted quadratic equation on each group are combined to have a model performance of R2=0.76 and RMSE =0.33 m. The results show that regression analysis on data with consistent statistics has good model performance.

摘要 I
ABSTRACT II
目錄 IV
圖目錄 VII
表目錄 XI
第一章 緒論 1
1-1 研究動機與目的 1
1-2 文獻回顧 2
1-3 背景資料 5
1-3-1 測站地理位置 5
1-3-2 資料來源 9
1-4 文章架構 12
第二章 海陸風的轉向時間及其特性分析 14
2-1 海陸風的環流原理 14
2-2 海陸風轉向時間的統計分析 16
2-2-1 海陸風轉向時間的定義 16
2-2-2 海陸風發生的每月天數統計 18
2-2-3 海陸風轉向時間的統計 23
2-3 海陸風的轉向時間與海陸溫差之關係 30
第三章 風速與波浪的多項式迴歸分析 34
3-1 多項式迴歸原理與評估指標 34
3-2 全年的波高與風速之關係 36
3-3 考慮風向分區的波高與風速之關係 40
3-4 波浪週期與風速之關係 49
3-5 考慮不同風向分區的迴歸分析 53
第四章 風浪及湧浪的分離方法及其波高與風速之迴歸分析 56
4-1 湧浪機制的介紹 56
4-1-1往昔的湧浪分類指標 56
4-1-2以統計波浪的分類方法 58
4-2颱風湧浪的推算 65
4-3 風浪與湧浪的波高與風速之關係 78
第五章 結論與建議 84
5-1 結論 84
5-2 建議 85
參考文獻 86

1. 郭一羽，「海岸工程學」，文山書局 (2001)。
2. 林文宗、梁乃匡 (1999)，「颱風湧浪逆風之探討」，第21屆海洋工程研討會論文集，第109-114頁。
3. 梁乃匡 (1989)，「修訂的颱風湧浪預報法」，港灣技術，第4期，第1-10頁。
4. 梁乃匡 (2010)，「颱風湧浪預報經驗法的探討」，海洋工程學刊 第10卷 第2期 第87-120頁
5. 吳岳潤(2014)「類神經網路的位置因子輸入對推算颱風波浪推算模式的精度提升探討」，國立交通大學土木工程研究所碩士論文。
6. 王順寬、何良勝、張憲國、劉勁成、徐如娟(2013)，「臺北港風速與風向的聯合分布特性的探討」，第35屆海洋工程研討會論文集，第119-124頁。
7. 張憲國、何良勝、張高瑋、衛紀懷(2014)，「臺北港海陸風的轉向特性及風速與波浪的關係探討 」，第36屆海洋工程研討會論文集，新竹，第673-678頁。
8. 衛紀淮、張憲國、劉勁成、陳蔚瑋、何良勝 (2014)「103年臺北港風與波浪關連性之統計特性研究」，交通部運輸研究所港研中心報告，編號MOTC-IOT-104-H2EB001f。
9. Defant, F. (1951) Local winds, in compendium of meteorology, Boston, Amer. Meteor. Soc., 655-672.
10. Doong, D. J., and Kao, C. C. (2007) Typhoon induced swell, Proceedings of East Asian Workshop for Marine Environments.
11. Garrison, T. (1993) Oceanography, an invitation to marine science, Wadworth, Inc., 215.
12. Glejin, J., Sanil Kumar, V., Balakrishnan Nair, T. M., Singh, J., Mehra, P. (2013) Observational evidence of summer Shamal swells along the west coast of India, J. Atmos. Ocean. Technol., 30, 379-388.
13. Haurwitz, B. (1947) Comments On the Sea Breeze Circulation, J.Meteor., 4, 1-8.
14. Janssen, P. (1994) Numerical modelling of wave evolution in dynamics and modeling of ocean waves, Cambridge Univ. Press, 205-257.
15. Janssen, P. (2004) The Interaction of Ocean Waves and Wind, Cambridge University Press, 308pp.
16. Kelvin, L. (1869) On vortex motion, Trans. R. Soc. Edinburgh, 25, 217-260.
17. Knaff, J. A., Sampson, C. R., DeMaria, M., Marchok, T. P., Gross, J. M, McAdie, C. J. (2007) Statistical tropical cyclone wind radii prediction using climatology and persistence, Wea. Forecasting, 22 (4), 781-791.
18. Komen, G. J., Hasselmann, S., Hasselmann, K. (1984) On the existence of a fully developed wind-sea spectrum, J. Phys. Oceanogr., 14(8), 1271-1285.
19. Komen, G. J., Cavaleri, L., Donelan, M., Hasselmann, K., Hasselmann, S., Janssen, P. (1994) Dynamics and modelling of ocean waves, Cambridge University Press, 532pp.
20. Sanil Kumar, K., Ashok Kumar, K., Anand, N. M. (2000) Characteristics of waves off Goa, west coast of India, J. Coast. Res., 16 (2), 782-789.
21. Li, S. Q., Zhao, D. L. (2012) Comparison of spectral partitioning techniques for wind wave and swell, Physical Oceanography Laboratory, Ocean University of China.
22. Liang, N. K. (2012) The freak wave potential of typhoon swell, J. Marine Science and Technology, 20(4), 467-471.
23. Miles, J. (1957) On the generation of surface waves by shear flows, J. Fluid Mech., 3, 185-204.
24. Pierson, W., Garcia, A. (2008) On the wind-induced growth of slow water waves of finite steepness, J. Fluid Mech., 608, 243-274.
25. Phillips, O. (1985) Spectral and statistical properties of the equilibrium range in the wind-generated gravity waves, J. Fluid Mech., 156, 505-531.
26. Pierson, W. J., Moskowitz, L. (1964) A proposed spectral form for fully developed wind seas based on the similarity theory of S. A. Kitaigorodski, J. Geophys. Res., 69(24), 5181-5190.
27. Pierson W. J. (1950) The effects of eddy viscosity, Coriolis deflection, and temperature fluctuation on the sea breeze as a function of time and height, New York University. College of Engineering. Moteorological Papers1, (2), 29pp.
28. Portilla, J., Ocampo-Torres, F. J., Monbaliu, J. (2009) Spectral partitioning and identification of wind sea and swell, J. Atmos. Oceanic Technol., 26(1), 107-122.
29. Rashmi, R., Aboobacker, V. M., Vethamony, P., John, M. P. (2013) Co-existence of wind seas and swells along the west coast of India during non-monsoon season, Ocean Sci., 9, 281-292.
30. Semedo, A., Sušeljet, K., Rutgersson, A., Sterl, A. (2010) A global view on the wind sea and swell climate and variability from ERA-40, J. Climate, 24(5), 1461-1479.
31. Samiksha, S. V., Vethamony, S. V. , Aboobacker, V. M., Rashmi, R. (2012) Propagation of Atlantic Ocean swells in the north Indian Ocean: a case study, Nat. Hazards Earth Syst. Sci., 12, 3605-3615.
32. Steyn, D. G., Faulkner, D. A. (1986) The climatology of sea-breeze in the Lower Fraser Valley, Climatological Bulletin 20(3), 21-39.
33. Sverdrup, H. U., Munk, W. H. (1947) Wind, sea and swell, theory of relation for forecasting, U. S. Navy Hydrographic Office, Pub. 601, 44pp.
34. Tian, Z., Perlin, M., Choi, W. (2010) Energy dissipation in two-dimensional unsteady plunging breakers and an eddy viscosity model, J. Fluid Mech., 655, 217-257.
35. Toffoli, A., Lefevre, J. M., Bitner-Gregersen, E., Monbaliu, J. (2005) Towards the identification of warning criteria: analysis of a ship accident database, Applied Ocean Research, 27(6), 281-291.
36. Vethamony, P., Rashmi, R., Samiksha, S. V., Aboobacker, V. M. (2014) Recent studies on wind seas and swells in the Indian Ocean: a review, Int. J. Ocean Climate. Syst. 4, 65-75.
37. Wang, D. W., Hwang P. A. (2001) An operational method for separating wind sea and swell from ocean wave spectra, J. Atmos. Oceanic Technol., 18(12), 2052-2062.
38. Young, I. (1999) Wind generated ocean waves, Elsevier, 288pp.
39. 合田良實 (1987) 「数値シミュレーションによる波浪の標準スペクトルと統計的性質」, 日本第34回海岸工学講演会論文集, 131-135.