大气与环境光学学报2025，Vol.20Issue(4)：484-495,12.DOI:10.3969/j.issn.1673-6141.2025.04.006
臭氧激光雷达数据验证及个例分析
Ozone lidar data validation method and case analysis
摘要
Abstract
Ozone lidar is an effective tool for detecting the spatial and temporal distribution of tropospheric ozone.An ozone lidar based on the differential absorption was developed in this work.The lidar emits Raman excited 289 nm and 316 nm wavelength pairs,uses a 300 mm aperture telescope to receive backscattered echo signals,and can perform ozone concentration profile detection within a height range of 300-3000 m.On the basis of comparing and calibrating the horizontal and vertical detection data with those of ozone analyzer at national control points and those of sounding balloons respectively,the ozone lidar was placed in the Beijing-Tianjin-Hebei region,China,for all-weather real-time monitoring.The observation results of two typical ozone pollution processes occurred in the region in 2022 were selected to analyze the causes of local ozone pollution and the deposition process of polluted air masses in the air.It was shown that in one of the ozone transport process,polluted air masses appeared in the atmosphere at an altitude of 900-1400 m above the ground and continued to settle,resulting in an increase in the mass concentration of ozone pollutants.And airborne polluted air masses and locally generated ozone interacted with each other,resulting in heavily polluted weather.Another long-term ozone pollution process analysis showed that,during the pollution period,the concentration of ozone near the ground varied greatly between day and night.An ozone residue layer appeared above 500 m,and high concentration of ozone in the residue layer continued to exist until the next day,then continued to overlap with locally generated pollutants,resulting in prolonged and persistent ozone pollution weather.关键词
臭氧激光雷达/差分吸收/数据验证/污染过程分析Key words
ozone lidar/differential absorption/data validation/pollution process analysis分类
信息技术与安全科学引用本文复制引用
陆大春,庄鹏,宋慈,孙广赫,谢晨波..臭氧激光雷达数据验证及个例分析[J].大气与环境光学学报,2025,20(4):484-495,12.基金项目
2022年安徽省自然科学基金联合基金项目(2208085UQ03),中国自然科学基金委员会气象联合基金(U2142203),安徽省博士后科研项目(2024A769),安徽省自然科学基金项目(2208085UQ03) （2208085UQ03）
