基于多普勒激光雷达的边界层内湍流参数估算  

Estimation of Turbulence Parameters in Atmospheric Boundary Layer Based on Doppler Lidar

作　　者：靳翔 宋小全[1,2] 刘佳鑫 云龙 邵士勇 Jin Xiang;Song Xiaoquan;Liu Jiaxin;Yun Long;Shao Shiyong(College of Information Science and Engineering,Ocean University of China,Qingdao,Shandong 266100,China;Laboratory for Regional Oceanography and Numerical Modeling,Pilot National Laboratory for Marine Science and Technology,Qingadao,Shandong 266237,China;Shenzhen Environmental Monitoring Center Station,Shenzhen,Grangdong 518049,China;Key Laboratory of Atmospheric Optics,Anhvi Institute of Optics and Fine Mechanics,Chinese Academy of Sciences,Hefei,Anhrwi 230031,China)

机构地区：[1]中国海洋大学信息科学与工程学院,山东青岛266100 [2]青岛海洋科学与技术试点国家实验室区域海洋动力学与数值模拟功能实验室,山东青岛266237 [3]深圳市环境监测中心站,广东深圳518049 [4]中国科学院安徽光学精密机械研究所中国科学院大气光学重点实验室,安徽合肥230031

出　　处：《中国激光》2021年第11期164-173,共10页Chinese Journal of Lasers

基　　金：国家重点研发计划(2018YFC0213101,2016YFC1400905);国家自然科学基金(61775200)。

摘　　要：2019年10月,使用相干多普勒测风激光雷达在深圳杨梅坑地区进行风廓线等观测。结合标准大气模型、温度日变化模型和地面气象站数据,估算了晴朗天气下边界层内大气折射率结构常数C_(n)^(2)和湍流动能耗散率ε。根据时间-高度垂直剖面,分析了时空变化特征,研究了各参数变化对C_(n)^(2)的具体影响。折射率结构常数C_(n)^(2)与垂直速度方差σ_(a)^(2)有较强的相关性,相关系数-般在0.7以上。在白天湍流充分混合发展的情况下,湍流动能耗散率ε与C_(n)^(2)相关系数一般达到0.5以上,C_(n)^(2)、σ_(a)^(2)及ε的相关性体现了湍流在水平和垂直两个方向变化的一致性。这表明在缺乏温度压强数据情况下,基于温度压强模型估算C_(n)^(2)是可行的。基于误差分析,温度梯度对C_(n)^(2)的贡献率达28.84%.温度对C_(n)^(2)的贡献率达30.12%,这要求在计算过程中尽量获取准确的温度廓线。结果对研究深圳地区地气系统能量、物质交换和天气变化等具有借鉴意义。Objective In the atmospheric boundary layer,studying the formation and development of turbulence is of significant interest to numerical weather prediction,atmospheric dynamics,mechanical structure safety of wind power equipment,and aviation safety.The refractive index structure constant C_(n)^(2)and turbulent energy dissipation rateεare commonly used parameters for studying the intensity of atmospheric turbulence.Traditional observation methods rely on meteorological elements,such as temperature,pressure,humidity,and wind field obtained from radiosondes.Micro-temperature sensors,ultrasonic anemometers,and wind profile radars,combine with corresponding methods to obtain atmospheric turbulence parameters.A new observation method based on lidar observation of atmospheric turbulence parameters has been widely studied.Compared with traditional observation methods,lidar can detect vertical profiles round the clock and high temporal-spatial resolution.In this study,we present the estimation of C_(n)^(2)andεbased on the coherent Doppler wind lidar observation data with second-level time resolution,combined with the temperature and pressure diurnal variation model.Besides,the vertical change profile of C_(n)^(2)round the clock is presented and compared with the vertical velocity varianceσ_(a)^(2).We believe that the proposed methods and estimation results can be useful for studying the characteristics of turbulence parameters in the boundary layer,the energy exchange of the land-atmosphere system,and transportation and diffusion of pollutants in coastal urban areas.Methods First,the wind speed data observed by lidar with a signal-to noise ratio of less than 8 dB and observation height below 60 m are eliminated.The meridional wind U and zonal wind v are calculated using the wind speed data after quality control.Then,the US standard atmosphere model is used to simulate changes in temperature and pressure at different altitudes.The GOT01_0 temperature diurnal change model is used to simulate the diurnal temperature chang

关 键 词：大气光学 大气湍流 激光雷达 折射率结构常数 湍流动能耗散率 

分 类 号：P413.1[天文地球—大气科学及气象学]