| 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。 |
| 关键词: 南海 波高熵 风速熵 |
| DOI： |
| 分类号: |
| 基金项目:“85”南沙科技专项，国家自然科学基金资助项目，49276245号,49376255号,921-2资助 |
附件 |
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| WAVE HEIGHT ENTROPY AND WIND SPEED ENTROPY OF THE SOUTH CHINA SEA |
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Guo Pefang1, Shi Ping2, Sun Fu1, Qi Jianhua1
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1.Department of Oceanography, Ocean University of Qingdao, Qingdao 266003;2.South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510275
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| Abstract: |
| In the present paper, entropy is used to measure the random-degree (RD) of a random system, such as sea wave height field and wind speed field. First, the definition of wave height entropy (WHE) is described simply, and a kind of wind speed entropy (WSE) is defined as (S=-∫0∞[f(U)lnf(U)d(U)] by the wind speed distribution function f(U). A method for calculation of WSE is defined (as S=lnΔU-∑pilnpi) by the relative statistical distribution function pi=f(U)ΔU of the wind speed. Second, non-dimensional entropy 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 extreme distribution functions. Fourth, the South China Sea WHE and WSE are calculated from GEOSAT altimeter data. The results show the spatiotemporal distribution characteristics of WHE and WSE, clear WHE annual variation with the peak of its value in winter and the trough in summer, no obvious WSE annual variation. The non-dimension values of WSE being less than those of WHE means the RD of wind speed is less than that of wave height. In the South China Sea, spatial distribution of WSE is similar to that of WHE, the values of WSE and WHE on the northeast to southwest axis is larger than that on other areas. |
| Key words: South China Sea, Wave height entropy, Wind speed entropy |
