利用Arecibo观测站（18.35 N, 66.75 W）上空的钾层和钠层数密度以及钾层背景温度的激光雷达观测数据，通过统计分析同步观测的钾层和钠层的多种特征参量的时空变化，对比研究钾层和钠层扰动的同步时变特征和空间分布状况。通过研究温度-钾层/钠层数密度扰动相关性，对比分析温度对钾层和钠层空间分布的影响。结合动力学模型，分析钾层和钠层密度短时变化中的动力学效应。通过对长期观测数据的统计分析，对比研究本区域钾层和钠层的季节变化特征.我们还将通过细致分析钾层和温度的同步观测数据，探索大气温度结构和扰动对金属层数密度时变特征和空间分布的深刻影响。

The common-volume lidar observations of K, Na density and temperature in the mesosphere and lower thermosphere at Arecibo Observatory (18.35 N, 66.75 W) Puerto Rico provide the data set for the study of metal layers. The temporal and spatial variations of K and Na perturbations will be studied statistically by comparing the behaviors of the simultaneously observed K and Na densities. The correlations among K/Na layers and temperatures will be calculated to learn the relationship between the temperature and K/Na density fluctuations. Theoretical models about the metal layer responses to the wave-induced perturbations will be adopted to help to explain the observations and investigate the impact of dynamical effects on the short-term density variations of the metal layers over a night. The results are invaluable for understanding the wave-induced vertical transport of K and Na and validating metal chemistry models. All the data of K and Na density will be studied statistically to character the seasonal variations of both layers. The data subset of K Doppler lidar observations will be used to investigate the relationship between temperature and K density perturbations. The results will help to further understanding the impact of temperature on the structure and variations of K layer.