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机构地区:[1]青岛海洋大学海洋系,青岛266003 [2]中国科学院南海海洋研究所,广州510275
出 处:《海洋与湖沼》1997年第2期185-191,共7页Oceanologia Et Limnologia Sinica
基 金:"85"南沙科技专项基金;国家自然科学基金!49276245;49376255;921-2
摘 要:根据风速的统计分布,给出了有因次风速熵和无因次风速熵的定义及其计算方法,使用GEOSAT高度计1986年11月—1989年2月的有效波高和风速的资料,计算、分析了南海海域上的波高熵、风速熵,给出它们的时间变化特征和空间变化特征,并对不同随机量的无因次熵,即随机度进行了比较。结果表明,该海域的波高熵除个别外,整体特征有明显的年变化规律,波高熵在冬季取得最大值,在夏季取得最小值;与波高熵相比,风速熵的年变化规律不甚明显。研究表明,波高熵与风速熵有密切的关系。In the present paper, entropy is used to measure the random-degree (RD) ofa random system, such as sea wave height fied and wind speed field. First, the definitionof wave height entropy (WHE) is dedbed simply, and a kind of wind speed entropyf(U).A method for calculation of WSE is defined (as S=In ) by the reativestatistical distribution function p1=f(U) △U of the wind speed. Second, non-dimensionalentropy is used as measurement and for comparison of RD in each random system.Third, the range of entropy value of a general distribution is given by the two extremedistribution functions. Fourth, the South China Sea WHE and WSE are calculated fromGEOSAT altimeter data. The results show the spahotemporal distribution characteristics ofWHE and WSE, clear WHE annual variation with the peak of its value in winter andthe trough in summer, no obvious WSE annual variation. The non-dimension values ofWSE being less than those of WHE means the RD of wind speed is less than that ofwave height. In the South China Sea, spatial distribution of WSE is similar to that ofWHE, the values of WSE and WHE on the northeast to southwest axis is larger thanthat on other areas.
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