UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection
文献类型:期刊论文
作者 | Zhao, Ming3,4; Fang, Zhiyuan2,3,4; Yang, Hao2,3,4; Cheng, Liangliang1,2,3,4; Chen, Jianfeng2,3,4; Xie, Chenbo3,4![]() |
刊名 | APPLIED SCIENCES-BASEL
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出版日期 | 2022 |
卷号 | 12 |
关键词 | UAVC Raman-Mie Lidar overlap factor low-altitude aerosol |
DOI | 10.3390/app12010184 |
通讯作者 | Chen, Jianfeng(jianfengchen1212@mail.ustc.edu.cn) ; Xie, Chenbo(cbxie@aiofm.ac.cn) |
英文摘要 | A method to calibrate the overlap factor of Lidar is proposed, named unmanned aerial vehicle correction (UAVC), which uses unmanned aerial vehicles (UAVs) to detect the vertical distribution of particle concentrations. The conversion relationship between the particulate matter concentration and the aerosol extinction coefficient is inverted by the high-altitude coincidence of the vertical detection profiles of the UAV and Lidar. Using this conversion relationship, the Lidar signal without the influence of the overlap factor can be inverted. Then, the overlap factor profile is obtained by comparing the signal with the original Lidar signal. A 355 nm Raman-Mie Lidar and UAV were used to measure overlap factors under different weather conditions. After comparison with the Raman method, it is found that the overlap factors calculated by the two methods are in good agreement. The changing trend of the extinction coefficient at each height is relatively consistent, after comparing the inversion result of the corrected Lidar signal with the ground data. The results show that after the continuously measured Lidar signal is corrected by the overlap factor measured by this method, low-altitude aerosol information can be effectively obtained. |
WOS关键词 | YANGTZE-RIVER DELTA ; FORM-FACTOR ; AEROSOLS ; RAMAN ; CLIMATE ; EPISODE ; CHINA |
资助项目 | Civil Aerospace Technology Pre-Research Project[D040103] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA17040524] ; Key Program of the 13th Five-Year Plan, CASHIPS[KP-2019-05] |
WOS研究方向 | Chemistry ; Engineering ; Materials Science ; Physics |
语种 | 英语 |
WOS记录号 | WOS:000741250800001 |
出版者 | MDPI |
资助机构 | Civil Aerospace Technology Pre-Research Project ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Key Program of the 13th Five-Year Plan, CASHIPS |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/127253] ![]() |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Chen, Jianfeng; Xie, Chenbo |
作者单位 | 1.Hefei Normal Univ, Anhui Prov Key Lab Simulat & Design Elect Informa, Hefei 230601, Peoples R China 2.Grad Sch USTC, Scinece Isl Branch, Hefei 230026, Peoples R China 3.Adv Laser Technol Lab Anhui Prov, Hefei 230037, Peoples R China 4.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Opt, Hefei 230031, Peoples R China |
推荐引用方式 GB/T 7714 | Zhao, Ming,Fang, Zhiyuan,Yang, Hao,et al. UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection[J]. APPLIED SCIENCES-BASEL,2022,12. |
APA | Zhao, Ming,Fang, Zhiyuan,Yang, Hao,Cheng, Liangliang,Chen, Jianfeng,&Xie, Chenbo.(2022).UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection.APPLIED SCIENCES-BASEL,12. |
MLA | Zhao, Ming,et al."UAVC: A New Method for Correcting Lidar Overlap Factors Based on Unmanned Aerial Vehicle Vertical Detection".APPLIED SCIENCES-BASEL 12(2022). |
入库方式: OAI收割
来源:合肥物质科学研究院
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