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太湖北岸风浪谱的特征分析
引用本文:逄勇,濮培民,胡维平,乔树梁.太湖北岸风浪谱的特征分析[J].海洋与湖沼,1996,27(5):531-537.
作者姓名:逄勇  濮培民  胡维平  乔树梁
作者单位:中国科学院南京地理与湖泊研究所!南京,210008,河海大学水文系,南京,210024,中国科学院南京地理与湖泊研究所!南京,210008,中国科学院南京地理与湖泊研究所!南京,210008,南京水利科学研究院!南京,210008
摘    要:利用1992年在太湖北岸马迹山地区测得的浅水风风浪资料,采用FFT方法求算风浪频谱,对谱结构特征的分析表明,观测到的风浪谱在平衡范围谱值按-4.0幂指数衰减,风浪谱形状与文圣常给出的理论结果比较接近。另外,分析以风要素为参量得到的无因次化频谱可以看出,观测谱基本满足谱的相似律。

关 键 词:太湖  风浪谱  特征分析  湖泊
收稿时间:1/3/1994 12:00:00 AM
修稿时间:1995/12/23 0:00:00

ANALYSIS OF THE WIND WAVE SPECTRUM CHARACTER IN THE NORTH BANK OF TAIHU LAKE
Pang Yong,Pu Peimin,Hu Weiping and Qiao Shuliang.ANALYSIS OF THE WIND WAVE SPECTRUM CHARACTER IN THE NORTH BANK OF TAIHU LAKE[J].Oceanologia Et Limnologia Sinica,1996,27(5):531-537.
Authors:Pang Yong  Pu Peimin  Hu Weiping and Qiao Shuliang
Institution:Nanjing Institute of Geography and Limnology, Academia Sinica Nanjing 210008;Nanjing Institute of Geography and Limnology, Academia Sinica Nanjing 210008;Nanjing Institute of Geography and Limnology, Academia Sinica Nanjing 210008;Nanjing Hydrolic Research Institute, Nanjing 210005
Abstract:A wave height instrument for obtaining wind wave data was plaeed about1.5m below water surfaee and 50m from the bank of Taihu Lak in Majishan district,Wnd in 1992. The sampling time was 0.1s and the observed mean wave height wasabout 30cm, the mean cycle time was about 2.0s. During the wave observation, wind direction and speed were also observed With an electrolytic wind instanent plaeedlom above the ground' The wind data computed and analysed in thig study werebasically short-distanee wind range and long-time constant Wnd direction data, Analysis of wind wave spectra comPuted with FFT method show that: 1) the spectrum curves are more narrow and steeper than that of P-M spectra observed in the oceanarea; 2) the spectrum value in the balanee rang decreases according to a -4.0 powerexponential funtion; 3) the spectnnn outline is sindlar to tha in the theory proposedby Wen Shengchang; and 4) the observed spectra obey the analogous law of windwave spectra.
Keywords:Taihu Lake Wind wave spectra The character analysis
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