南海陆坡区内孤立波传播速度分析

Propagation Speed of Internal Solitary Waves in the Continental Slope Area of the South China Sea

  • 摘要: 研究南海陆坡区内孤立波传播演变过程对于深入认知内孤立波机理、保障海上油气工程安全具有重要意义。本文利用南海东北部陆坡区观测资料,分析了内孤立波传播速度变化特征,对比了基于经典KdV(Korteweg-de Vries)方程的理论传播速度和实测传播速度的差异。结果表明,该区域内孤立波以第一模态下凹型内孤立波为主,不同测站共匹配到370个第一模态内孤立波信号,内孤立波的传播方向为274°~322°,实测传播速度介于0.78~1.52 m/s,传播速度表现出夏秋季大、冬春季小的季节变化特征。基于KdV方程的理论传播速度介于0.61~1.43 m/s,与内孤立波实测传播速度的吻合程度为58.1%~99.9%,且不同季节的吻合程度存在差异,春、夏、秋、冬季的吻合程度中位数分别为91.2%、91.5%、86.3%和85.9%。本文评估了经典KdV方程理论在该海域解释内孤立波传播速度的适用性,所得结果可为陆坡海域内孤立波的精准预测提供参考。

     

    Abstract: Investigation on the propagation and evolution of internal solitary waves (ISWs) in the continental slope area of the South China Sea (SCS) is crucial for understanding the mechanisms of internal solitary waves and ensuring the safety of offshore oil and gas engineering. Observational data in the northeastern continental slope area of the SCS are used in this study to analyze the propagation speed of internal solitary waves. The theoretical propagation speeds based on the Korteweg-de Vries (KdV) equation are estimated and compared with the observations. Results show that the first-mode concave internal solitary wave is dominant in the northeastern continental slope area of the SCS. A total of 370 first-mode ISWs were identified and tracked at all the stations, with propagation direction ranging from 274° to 322°. The mean propagation speed varies from 0.78 to 1.52 m/s, showing seasonality with higher speed in summer and autumn and lower speed in winter and spring. The theoretical propagation speed calculated from the KdV equation ranges from 0.61 to 1.43 m/s, which explains 58.1% to 99.9% of the observed propagation speed. The consistency between the KdV theory and the observations varies in different seasons, with median agreement values for spring, summer, autumn, and winter being 91.2%, 91.5%, 86.3%, and 85.9%, respectively. This study assessed the applicability of the classical KdV theory in explaining ISWs propagation speeds in the continental slope area of the SCS. The findings are helpful for accurate prediction of the ISWs.

     

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