激波捕捉格式可以根据局部流场的光滑程度自适应地控制耗散，以抑制小尺度的非物理波动并解析更多的大尺度流动结构。为了更好地识别激波捕捉过程中产生的小尺度非物理波动，进而更精确地控制耗散，提出一种基于局部流场的幅值和波数控制耗散的方法。对于激波主导的或各向同性湍流的具有强烈非定常性的问题，根据一维非定常欧拉方程，推导小尺度下不同物理量之间的关系，并通过数值实验或Kolmogorov尺度理论确定小尺度波动幅值的阈值。最后，基于傅里叶分析及小尺度波动幅值的阈值，建立耗散大小与局部流场的幅值和波数的关系。为了获得激波捕捉能力，将该格式与TENO（Targeted Essentially Non-Oscillatory）格式进行混合构造了混合格式。一系列激波主导的基准算例显示，该格式在计算过程中产生的小尺度非物理波动的波数更低，幅值更小，并对大尺度的流动结构具有更好的分辨率。

The shock capture scheme can adaptively control the dissipation according to the smoothness of the local flow field to suppress the small-scale non-physical fluctuations and resolve large-scale flow structures. In order to better identify the small-scale non-physical fluctuations produced in the shock capture process， and then more accurately control dissipation， this paper proposes a dissipation control method based on amplitude and wavenumber of the local flow field. For problems with strong unsteadiness， such as shock-dominated or isotropic turbulence problems， according to the one-dimensional unsteady Euler equation， the relationship between different physical quantities at small scales is derived， and the threshold of the small-scale fluctuation amplitude are determined by numerical experiments or Kolmogorov scale theory. Finally， based on Fourier analysis and the threshold of the small-scale fluctuation amplitude， the relationship between the magnitude of the dissipation， and the amplitude and wavenumber of the local flow field is established. In order to obtain the shock-capturing capability， the scheme is hybridized with the TENO（Targeted Essentially Non-Oscillatory） scheme to form a hybrid scheme. A series of benchmark examples involving shocks or turbulence show that this scheme produces small-scale nonphysical fluctuations with lower wavenumbers， smaller amplitudes， and better resolution of large-scale flow structures during computations.