基于小波变换法定义的波群参数
Wave groupiness factors defined by wavelet transform
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摘要: 通过小波变换分析的波能过程定义了两个描述波浪群性的参数,由数值模拟波浪和实测波浪资料对其与常用的波群参数进行对比分析,结果表明基于小波波能过程定义的群性参数是有效的,从而展示了小波变换用于在时频域上分析波群的能力。详细探讨了波浪记录长度对群性参数稳定性的影响,分析结果表明,波浪观测长度对于波群参数的影响较大,在考虑波浪群性的波浪模拟及分析时,建议模拟时间长度应在400~500个波以上。Abstract: Two new factors based on the wave energy process deduced by wavelet transform are proposed to describe the groupiness degree of waves. Through numerical wave results and field data, their effectiveness is confirmed by the comparaison with the commonly used wave groupiness parameters, therefore the ability of wavelet transform to analyze wave groupiness in the time-frequency domain is demonstrated. And the infulence of the wave record length on the variation of the groupiness factors is discussed in detail. The analyzed results indicate that the wave record length has great influence on the wave groupiness parameters, and it is suggested that, for the simulation and analysis of waves regard to wave groupiness, at least 400 to 500 waves should be simulated.
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Key words:
- wavelet transform /
- wave groups /
- groupiness factors /
- time-frequency domain
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