中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Accuracy Evaluation of Differential Absorption Lidar for Ozone Detection and Intercomparisons with Other Instruments

文献类型:期刊论文

作者Fan, Guangqiang2; Zhang, Bowen2,6; Zhang, Tianshu2; Fu, Yibin2; Pei, Chenglei1; Lou, Shengrong5; Li, Xiaobing4; Chen, Zhenyi3; Liu, Wenqing2
刊名REMOTE SENSING
出版日期2024-07-01
卷号16
关键词ozone DIAL atmospheric correction error analysis remote sensing
DOI10.3390/rs16132369
通讯作者Zhang, Tianshu(tszhang@aiofm.ac.cn)
英文摘要Differential absorption lidar is an advanced tool for investigating tropospheric ozone transport and development. High-quality differential absorption lidar data are the basis for studying the temporal and spatial evolution of ozone pollution. We assessed the quality of the ozone data generated via differential absorption lidar. By correcting the ozone lidar profile in real-time with an atmospheric correction term and comparing the lidar data to ozone data collected using an unmanned aerial vehicle (UAV), we quantified the statistical error of the ozone lidar data in the vertical direction and determined that the data from the two instruments were generally in agreement. To verify the reliability of the ozone lidar system and the atmospheric correction algorithm, we conducted a long-term comparison experiment using data from the Canton Tower. Over the two months, the UAV and lidar data were consistent with one another, which confirmed the viability of the ozone lidar optomechanical structure and the atmospheric correction algorithm, both in real-time and over a given time duration. In addition, we also quantified the relationship between statistical error and signal-to-noise ratio. When the SNR is less than 10, the corresponding statistical error is about 40%. The statistical error was less than 15% when the signal-to-noise ratio was greater than 20, and the statistical error was mostly less than 8% when the signal-to-noise ratio was greater than 40. In general, the statistical error of the differential absorption lidar data was inversely proportional to the signal-to-noise ratio of each echo signal.
WOS关键词TROPOSPHERIC OZONE ; TETHERED BALLOON ; RIVER DELTA ; POLLUTION ; PROFILES ; SYSTEM ; SHANGHAI ; COMPACT ; CHINA ; MODEL
资助项目National Key R&D Program of China[2022YFC3700400] ; National Key R&D Program of China[2022YFC3704000] ; National Natural Science Foundation of China[42305149] ; Hefei Comprehensive National Science Center
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:001269825800001
出版者MDPI
资助机构National Key R&D Program of China ; National Natural Science Foundation of China ; Hefei Comprehensive National Science Center
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/137149]  
专题中国科学院合肥物质科学研究院
通讯作者Zhang, Tianshu
作者单位1.Guangzhou Environm Monitoring Ctr, Guangzhou 510030, Peoples R China
2.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Inst Opt & Fine Mech, Key Lab Environm Opt & Technol, Hefei 230031, Peoples R China
3.Beijing Technol & Business Univ, Sch Light Ind Sci & Engn, Beijing 100048, Peoples R China
4.Jinan Univ, Coll Environm & Climate, Inst Environm & Climate Res, Guangdong Hongkong Macau Joint Lab Collaborat Inno, Guangzhou 511443, Guangdong, Peoples R China
5.Shanghai Acad Environm Sci, State Environm Protect Key Lab Format & Prevent Ur, Shanghai 200233, Peoples R China
6.Univ Sci & Technol China, Grad Sch, Sci Isl Branch, Hefei 230026, Peoples R China
推荐引用方式
GB/T 7714
Fan, Guangqiang,Zhang, Bowen,Zhang, Tianshu,et al. Accuracy Evaluation of Differential Absorption Lidar for Ozone Detection and Intercomparisons with Other Instruments[J]. REMOTE SENSING,2024,16.
APA Fan, Guangqiang.,Zhang, Bowen.,Zhang, Tianshu.,Fu, Yibin.,Pei, Chenglei.,...&Liu, Wenqing.(2024).Accuracy Evaluation of Differential Absorption Lidar for Ozone Detection and Intercomparisons with Other Instruments.REMOTE SENSING,16.
MLA Fan, Guangqiang,et al."Accuracy Evaluation of Differential Absorption Lidar for Ozone Detection and Intercomparisons with Other Instruments".REMOTE SENSING 16(2024).

入库方式: OAI收割

来源:合肥物质科学研究院

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。