为了探究广汉机场上空边界层高度的变化特征，利用多普勒激光雷达的载噪比数据，采用梯度法、小波协方差法和标准方差法，对机场上空的边界层高度进行了反演，并与L波段探空和飞机探测数据进行了对比,利用飞机探测数据和探空仪数据对激光雷达反演的边界层高度进行了验证。结果表明，在对流边界层顶的识别上，3种方法都能较好地捕获边界层信息，且一致性较好，但在对残余层顶和稳定边界层顶的识别上，梯度法无论是准确性、连续性还是稳定性上都表现出了明显优势;反演得到的对流边界层和残余层高度维持在2000 m左右，稳定边界层高度在100 m～200 m之间; 受边界层内湍流的影响，物质边界层高度与热力边界层高度在某些时段会出现显著差异。该研究可为飞行训练提供预警信息，更好地保障飞行安全。

In order to explore the height variation characteristics of the boundary layer over Guanghan Airport, the carrier noise ratio data of Doppler light detection and ranging (LiDAR) was used to invert the boundary layer height over the airport by gradient method, wavelet covariance method, and standard variance method. The calculated data through these methods was then compared with that of the L-band sounding and aircraft detection data. The results show that boundary layer information can be captured well by these methods, and good consistency in the recognition of convective boundary pause can be observed. However, the gradient method shows obvious advantages in accuracy, continuity and stability in the recognition of residual layer pause and stable boundary top layer. During the observation period, the height of the convective boundary layer and the residual layer is about 2000 m, and the height of the stable boundary layer is between 100 m~200 m. The boundary layer height of LiDAR inversion was verified by aircraft detection data and sonde data. Due to the turbulence in the boundary layer, the material boundary layer and the thermal boundary layer were significantly different at certain times. The study can provide early warning information for flight training and better ensure flight safety.