查詢結果分析
來源資料
相關文獻
- 多點風速與波高的二次多項式回歸分析
- 永續發展導向下理想指標的定位--建立臺灣地區綜合性環境指數之初探
- 複回歸分析應用在二號高爐高爐氣H[feaf]含量的追蹤
- 南高屏地區伴隨臭氧污染事件之環流場特徵分析
- 中部地區海陸風環流與高臭氧污染之相關分析
- The Relationship between Socio-psychological Factors and Taiwanese College Students' English Language Proficiency
- 應用圖形分析在直線迴歸式配置之前置分析
- 金門觀光產業服務品質與遊客滿意度之研究
- 影響軟弱砂岩抗壓強度因素之研究
- TAMEX期間臺灣西南部地區弱綜觀強迫下之垂直運動研究
頁籤選單縮合
題 名 | 多點風速與波高的二次多項式回歸分析=Quadratic Polynomial Regression on Multipoint Wind Velocities and Wave Heights |
---|---|
作 者 | 張憲國; 劉勁成; 何良勝; | 書刊名 | 海洋工程學刊 |
卷 期 | 15:4 2015.12[民104.12] |
頁 次 | 頁221-233 |
分類號 | 328.52 |
關鍵詞 | 回歸分析; 二次多項式; 海陸風; 風場模式; Regression analysis; Quadratic polynomial; Sea breeze; Land breeze; Wind model; |
語 文 | 中文(Chinese) |
中文摘要 | 本文利用台北港外海觀測樁2010及2012年的10 m風速與示性波高資料,以回歸分析建立二者關係的經驗公式。本文考慮三種分區風向方法,將風向分為海風、陸風、西南風及東北風等四組,以Steyn and Faulkner (1986)提出的向岸風應發生在日出後兩小時至日落後兩小時間且應至少持續兩小時的原則,在選擇三種風向分區方式測試後發現是最合適的,其分區方位角為0°、70°、205°、275°。以二次式回歸分析所建立的分區的風速及波高的單點模式比全部風速的回歸模式有較好的模式表現。同時考慮風場數值模式計算的觀測樁NW方向上外25 km點位上的風速,及觀測樁實測風速,所建立的多點模式,經模式評估後發現,此多點模式優於風向分區的單點模式來描述波高與風速的關係。 |
英文摘要 | Both wind data at 10m high above sea surface and wave data at the offhsore observation pole of the Taipei harbour for year 2010 and 2012 were used to established their relationship by regression analysis. According to the study of Steyn and Faulkner (1986) indicating that the turning time of sea/land breezes commonly occurs at the time of two hours after sunrise and sunset, respectively, wind directions are suitably separeted into four zones, named sea, land, SW and NE zones, by azimuths of 0°, 70°, 205° and 275°. Quadratic polynomial regression on the four-zone-divided wind speeds and corrsponding wave heights are made to be a single-point mode, which is examined to have better model performance than the original model for the whole data. Relating joint calculated wind speeds at the poition, which is located at a distance of 25 km from the observation pole in the NW direction, and measured ones at the observation pole for year 2010 to wave heights establishes a multi-point model. The multi-point model is more applicable for describing their relationship than the simple-point model. |
本系統中英文摘要資訊取自各篇刊載內容。