...
【24h】

Time-varying power spectra and coherences of non-stationary typhoon winds

机译:非静止台风风的时变功率谱和相干性

获取原文
获取原文并翻译 | 示例
           

摘要

Typhoon winds near its external eye wall are strongly non-stationary and disastrous, requiring a deep understanding. This paper first presents an S-transform-based method for obtaining the time-varying power spectra and coherences of a multivariate non-stationary process. The accuracy of the proposed S-transform-based method is examined through a comparison with currently-used two methods. The analytical expressions of time-varying power spectra and coherences of non-stationary typhoon winds are then proposed by introducing time-varying parameters into the stationary Von Karman wind spectra and the stationary Krenk wind coherence functions respectively. Finally, the S-transform-based method is applied to the wind data recorded by the multiple anemometers installed in the Stonecutters Bridge in Hong Kong during Typhoon Hato, and the resulting time-varying wind spectra and coherences are fitted by the analytical expressions of time-varying Von Karman wind spectra and Krenk wind coherence functions respectively. The results show that the typhoon winds recorded during Typhoon Hato are clearly non-stationary and that the time-varying Von Karman wind spectra and Krenk wind coherence functions could well fit the wind data recorded during Typhoon Hato.
机译:其外眼墙附近的台风风非常稳定,灾难性,需要深入了解。本文首先介绍了基于S转基的方法,用于获得多变量非静止过程的时变功率谱和相干性。通过与目前使用的两种方法的比较来检查所提出的基于S-Transform的方法的准确性。然后通过将时变参数引入固定的vonKarman风光谱和静止的krenk风相干功能来提出时变功率光谱的分析表达式和非静止台风风的相干性。最后,基于S-Transform的方法应用于在Typhoon Hato的Stonecutters桥上安装的多个风光仪记录的风数据,由此产生的时变风光光谱和一致性被分析表达式拟合 - 分别为von Karman风光谱和Krenk风相函数。结果表明,在台风Hato期间记录的台风风显然是非静止的,而且时变von Karman风光谱和Krenk风相函数很好地适合在台风哈托期间记录的风数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号