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Self-Similar Characteristic for the Ramp Structures of Wind Speed
  • 期刊名称:ATMOSPHERIC AND OCEANIC SCIENCE LETTERS
  • 时间:2014.1.1
  • 页码:320-323
  • 分类:TP311.1[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术] U656.21[交通运输工程—港口、海岸及近海工程;交通运输工程—船舶与海洋工程]
  • 作者机构:[1]State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chi- nese Academy of Sciences, Beijing 100029, China, [2]University of Chinese Academy of Sciences, Beijing 100049, China
  • 相关基金:This work is supported by the National Natural Science Foundation of China (Grant No. 91215302), "One-Three-Five" Strategic Planning (wind power prediction) of the Institute of Atmospheric Physics, Chinese Academy of Sciences (CAS) (Grant No. Y267014601), and the Strategic Project of Science and Technology of CAS (Grant No. XDA05040301).
  • 相关项目:重大建筑与桥梁强/台风灾变的集成研究
中文摘要:

风速度的时间系列由大、小的斜面结构组成。数据分析揭示在斜面结构和时间规模的线性斜坡之间的一种幂定律关系。这建议风速度的这些斜面结构有一个自我类似的特征。自我类似的规模范围的更低的限制是 2 s。上面的限制在 27 min 出人意料地大。数据从草地,城市,和湖区域被收集。尽管这些数据有不同内在的表面,所有清楚地他们显示出一种幂定律关系,与细微差别尽最大努力代表。

英文摘要:

Time series of wind speed are composed of large and small ramp structures. Data analysis reveals a power law relation between the linear slope of ramp structures and the time scale. This suggests that these ramp structures of wind speed have a self-similar characteristic. The lower limit of the self-similar scale range was 2 s. The upper limit is unexpectedly large at 27 rain. Data are collected from grassland, city, and lake areas. Although these data have different underlying surfaces, all of them clearly show a power law relation, with slight differences in their power exponents.

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