翼型尾缘散射噪声是翼型自噪声的重要组成部分，普遍存在于水、空气2种介质中快速航行体及旋转机械的噪声中。基于湍流边界层（TBL）脉动压力（TBL脉压）波数-频率谱的翼型尾缘散射噪声快速预测方法可实现对相关噪声的快速预测，但现有方法在TBL脉压波数-频率谱建模时对压缩性的考虑不足，在压缩性差异明显的水、空气介质中通用性不强。基于可压缩理论基的TBL脉压波数-频率谱模型，结合Amiet翼型远场噪声传播积分模型建立了新的翼型尾缘散射噪声预测方法。通过声学风洞、水洞试验获得了空气、水2种介质中翼型表面的TBL脉压及远场噪声试验数据，对模型进行验证，并与考虑了压缩性的经典Chase Ⅱ模型进行对比。结果表明，新方法在空气、水中具有通用性和较高准确性，且在空气、水中的TBL脉压及噪声预测效果都优于Chase Ⅱ模型。

Airfoil trailing edge scattering noise is a significant component of airfoil self-noise， commonly found in the noise of fast-moving bodies rotating machinery. A rapid prediction method for airfoil trailing edge scattering noise based on the wavenumber-frequency spectrum of turbulent boundary layer pulsating pressure （referred to as “TBL（Turbulent boundary layer） pulsating pressure”） can achieve fast noise prediction. However， existing methods lack sufficient consideration of compressibility when modeling the TBL pulsating pressure wavenumber-frequency spectrum， leading to weak universality in media with significant differences in compressibility， such as water and air. This paper establishes a new prediction method for airfoil trailing edge scattering noise based on a compressible theorybased TBL pulsating pressure wavenumber-frequency spectrum model， combined with Amiet’s airfoil far-field noise propagation integral model. Acoustic wind tunnel and water tunnel experiments were conducted to obtain experimental data on TBL pulsating pressure and far-field noise on airfoil surfaces in both air and water media， to verify the model， and to compare it with the classic Chase Ⅱ model， which also considers compressibility. The results indicate that the new method demonstrates general applicability and high accuracy in both air and water， and its prediction performance for TBL pressure fluctuations and noise in air and water surpasses that of the Chase Ⅱ model.