深圳地区多普勒测风激光雷达的湍流观测

大气与环境光学学报 ›› 2021, Vol. 16 ›› Issue (5): 383-391.

深圳地区多普勒测风激光雷达的湍流观测

刘佳鑫1, 云龙2, 邵士勇3, 程雪玲4, 宋小全1;5∗

1 中国海洋大学信息科学与工程学部海洋技术学院, 山东青岛 266100; 2 深圳市环境监测中心站, 广东深圳 518049; 3 中国科学院合肥物质科学研究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; 4 中国科学院大气物理研究所大气边界层物理和大气化学国家重点实验室, 北京 100029; 5 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

收稿日期:2020-08-18 修回日期:2021-08-19 出版日期:2021-09-28 发布日期:2021-09-28
通讯作者: E-mail: songxq@ouc.edu.cn E-mail:E-mail: songxq@ouc.edu.cn
作者简介:刘佳鑫 (1996 - ), 山东威海人, 硕士研究生, 主要从事激光雷达大气探测方面的研究。 E-mail: jiaxinl@stu.ouc.edu.cn
基金资助:
Supported by the National Key R&D Program of China (国家重点研发计划, 2018YFC0213101), National Natural Science Foundation of China (国家自然科学基金, 61775200)

Observation of Turbulence Using Doppler Wind Lidar in Shenzhen

LIU Jiaxin1, YUN Long2, SHAO Shiyong3, CHENG Xueling4, SONG Xiaoquan1;5∗

1 College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China; 2 Shenzhen Environmental Monitoring Center Station, Shenzhen 518049, China; 3 Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics, HFIPS, Chinese Academy of Sciences, Hefei 230031, China; 4 State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China; 5 Laboratory for Regional Oceanography and Numerical Modeling, Pilot National Laboratory for Marine Science and Technology, Qingdao 266237, China

Received:2020-08-18 Revised:2021-08-19 Published:2021-09-28 Online:2021-09-28
Contact: Xiao-Quan SONG E-mail:E-mail: songxq@ouc.edu.cn

摘要/Abstract

摘要： 激光雷达可以快速实现对大气风场的非侵入测量, 获得精确三维风矢量。为验证测风激光雷达观测湍流的可行性并获得湍流观测特征, 利用相干多普勒激光雷达在深圳杨梅坑进行湍流观测实验。依据 Reynolds 分解原理, 应用小波分解获取湍流脉动并分析大气的湍流运动特征。结果表明: 观测地日平均湍流强度呈现“单峰单谷”结构, 与实验期间气温的变化呈现较高相关性; 湍流动能引起垂直方向上的输送主要集中在日间 12:00 后, 与湍流耗散率的相关系数达 0.77; 湍流功率谱密度在惯性副区内基本符合 Kolmogorov“-5/3” 定律。研究结果验证了测风激光雷达可以较为精确地估算湍流参数。

关键词: 多普勒测风激光雷达, 大气湍流, 小波分解, 湍流动能

Abstract: Lidar can quickly realize non-invasive measurement of atmospheric wind field and obtain accurate wind vectors. In order to verify the feasibility of turbulence observation with lidar and obtain the turbulent characteristics, an observation experiment was carried out in Shenzhen, China, by using coherent Doppler lidar. According to the principle of Reynolds decomposition, wavelet decomposition is used to obtain the turbulent pulsating and analyze the turbulent motion characteristics. The results show that daily average turbulence intensity in Shenzhen presents a “single peak and single valley” structure, which is correlated with the temperature change during the observation. The vertical transportation caused by turbulent kinetic energy is mainly concentrated after 12:00 in the daytime and the correlation coefficient between turbulent kinetic energy and turbulent dissipation rate is 0.77. The turbulent power spectral density is basically consistent with Kolmogorov “-5/3” law in the inertial sub-range. The research results verify that the wind lidar can estimate the turbulence parameters accurately.

Key words: Doppler wind lidar, atmospheric turbulence, wavelet decomposition, turbulent kinetic energy

中图分类号:

P421.1

刘佳鑫, 云龙, 邵士勇, 程雪玲, 宋小全, ∗. 深圳地区多普勒测风激光雷达的湍流观测[J]. 大气与环境光学学报, 2021, 16(5): 383-391.

LIU Jiaxin, YUN Long, SHAO Shiyong, CHENG Xueling, SONG Xiaoquan, ∗. Observation of Turbulence Using Doppler Wind Lidar in Shenzhen[J]. Journal of Atmospheric and Environmental Optics, 2021, 16(5): 383-391.

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