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The differential absorption lidar (DIAL) has been proposed as an effective method for detecting ozone in the atmosphere. An important factor affecting its detecting precision is the asynchronous offset between backscattered signals at different wavelengths. Recently, a DIAL was built by our group, and the impact of the asynchronous offset was tested and studied. The simulation results show that the measurement error caused by the offset is negatively correlated with the altitude. Meanwhile, the offset has an additional effect in areas with sharp ozone concentration changes. Comparative experiments were carried out by our DIAL system and an airborne atmospheric monitoring system in the Nanjing test site. The results show that a 15 m offset in DIAL led to serious errors in retrieval results. These errors are inversely related to the detection altitude and reach up to 13 ppb, which is consistent with the results from simulations. After controlling the relative position of the backscattered signal to minimize the asynchronous offset, the maximum error was reduced to 2 ppb. Then the optimized DIAL was used for 48-hour continuous observation with a proven ozone analyzer. It shows that the optimized DIAL has high detecting accuracy and stability as point-fixed instruments.
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231--243
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Bibliogr. 18 poz., rys., tab.
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autor
- Universities Joint Key Laboratory of Photoelectric Detection Science and Technology in Anhui Province, Hefei normal university, Hefei, 230601, China
- School of Physics and Materials Engineering, Hefei Normal University, Hefei 230601, China
autor
- School of Electronic Information and Integrated Circuit, Hefei Normal University, Hefei 230601, China
autor
- Universities Joint Key Laboratory of Photoelectric Detection Science and Technology in Anhui Province, Hefei normal university, Hefei, 230601, China
autor
- Universities Joint Key Laboratory of Photoelectric Detection Science and Technology in Anhui Province, Hefei normal university, Hefei, 230601, China
- School of Physics and Materials Engineering, Hefei Normal University, Hefei 230601, China
autor
- Universities Joint Key Laboratory of Photoelectric Detection Science and Technology in Anhui Province, Hefei normal university, Hefei, 230601, China
- School of Physics and Materials Engineering, Hefei Normal University, Hefei 230601, China
autor
- School of Physics and Materials Engineering, Hefei Normal University, Hefei 230601, China
- Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei 230601, China
autor
- Universities Joint Key Laboratory of Photoelectric Detection Science and Technology in Anhui Province, Hefei normal university, Hefei, 230601, China
- School of Physics and Materials Engineering, Hefei Normal University, Hefei 230601, China
autor
- Universities Joint Key Laboratory of Photoelectric Detection Science and Technology in Anhui Province, Hefei normal university, Hefei, 230601, China
- School of Physics and Materials Engineering, Hefei Normal University, Hefei 230601, China
Bibliografia
- [1] CHRISTIANSEN A., MICKLEY L.J., LIU J., OMAN L.D., HU L., Multidecadal increases in global tropospheric ozone derived from ozonesonde and surface site observations: can models reproduce ozone trends?, Atmospheric Chemistry and Physics 22(22), 2022: 14751–14782. https://doi.org/10.5194/ acp-22-14751-2022, 2022
- [2] HONG J., WANG W., BAI Z., BIAN J., TAO M., KONOPKA P., PLOEGER F., MÜLLER R., WANG H., ZHANG J., ZHAO S., ZHU J., The long-term trends and interannual variability in surface ozone levels in Beijing from 1995 to 2020, Remote Sensing 14(22), 2022: 5726. https://doi.org/10.3390/rs14225726
- [3] PÉREZ A.B., DEVASTHALE A., BENDER F.A.-M., EKMAN A.M.L., Impact of smoke and non-smoke aerosols on radiation and low-level clouds over the southeast Atlantic from co-located satellite observations, Atmospheric Chemistry and Physics 21(8), 2021: 6053-6077. https://doi.org/ 10.5194/acp-21-6053-2021
- [4] ZAMAN S.U., PAVEL M.R.S., RANI R.I., JEBA F., ISLAM M.S., KHAN M.F., EDWARDS R., SALAM A., Aerosol climatology characterization over Bangladesh using ground-based and remotely sensed satellite measurements, Elementa: Science of the Anthropocene 10(1), 2022: 000063. https://doi.org/ 10.1525/elementa.2021.000063
- [5] KUANG S., WANG B., NEWCHURCH M., KNUPP K., TUCKER P., ELORANTA E., GARCIA J., RAZENKOV I., SULLIVAN J., BERKOFF T., GRONOFF G., LEI L., SENFF C., LANGFORD A., LEBLANC T., NATRAJ V., Evaluation of UV aerosol retrievals from an ozone lidar, Atmospheric Measurement Techniques 13(10), 2020: 5277-5292. https://doi.org/10.5194/amt-13-5277-2020
- [6] FAN G., LIU J., LIU W., LU Y., ZHANG T., DONG Y., ZHAO X., A new retrieval method for ozone concentration at the troposphere based on differential absorption lidar, Spectroscopy and Spectral Analysis 32(12),2012: 3304-3308. https://doi.org/10.3964/j.issn.1000-0593(2012)12-3304-05
- [7] PAPAYANNIS A., ANCELLET G., PELON J., MÉGIE G., Multiwavelengh lidar for ozone measurements in the troposphere and the lower stratosphere, Applied Optics 29(4),1990: 467-476. https://doi.org/ 10.1364/AO.29.000467
- [8] HU S., HU H., ZHOU J., WU Y., Dual-differential LiDAR: a set of wavelengths that can improve the accuracy of ozone measurement, Acta Meteorologica Sinica 60(4), 2002: 486-493.
- [9] CAO N., YANG F., SHI J., FUKUCHI T., Noise effect on ozone DIAL night time measurement in the troposphere, Acta Photonica Sinica 41(12), 2012: 1416-1421. https://doi.org/10.3788/gzxb20124112.1416
- [10] CHOUZA F., LEBLANC T., BREWER M., WANG P., Upgrade and automation of the JPL Table Mountain Facility tropospheric ozone lidar (TMTOL) for near-ground ozone profiling and satellite validation, Atmospheric Measurement Techniques 12(1), 2019: 569-583. https://doi.org/10.5194/ amt-12-569-2019
- [11] KUANG S., NEWCHURCH M.J., BURRIS J., LIU X., Ground-based lidar for atmospheric boundary layer ozone measurements, Applied Optics 52(15), 2013: 3557-3566. https://doi.org/10.1364/AO.52.003557
- [12] LEBLANC T., SICA R., GIJSEL V., JOANNA A., HAEFELE A., PAYEN G., LIBERTI G., Proposed standardized definitions for vertical resolution and uncertainty in the NDACC lidar ozone and temperature algorithms–Part 1: Vertical resolution, Atmospheric Measurement Techniques 9(8), 2016: 4029-4049. https://doi.org/10.5194/amt-9-4029-2016
- [13] CHENG L., XIE C., ZHAO M., LI L., YANG H., FANG Z., CHEN J., LIU D., WANG Y., Design of lidar data acquisition and control system in high repetition rate and photon-counting mode: Providing testing for space-borne lidar, Sensors 22(10), 2022: 3706. https://doi.org/10.3390/s22103706
- [14] LIU R.L., LIU R.X., Signal acquisition technology for photoelectric encoder based on FPGA, Optik 127(20), 2016: 9891-9895. https://doi.org/10.1016/j.ijleo.2016.07.082
- [15] LIU P., ZHANG T., SUN X., FAN G., XIANG Y., FU Y., DONG Y., Compact and movable ozone differential absorption lidar system based on an all-solid-state, tuning-free laser source, Optics Express 28(9), 2020: 13786-13800. https://doi.org/10.1364/OE.391333
- [16] KUNZ G.J., DE LEEUW G., Inversion of lidar signals with the slope mehod, Applied Optics 32(18), 1993: 3249-3255. https://doi.org/10.1364/AO.32.003249
- [17] WEITKAMP C., Lidar: Range-Resolved Optical Remote Sensing of the Atmosphere, Springer Series in Optical Sciences, Springer New York, NY, 2006. https://doi.org/10.1007/b106786
- [18] U.S. Standard Atmosphere 1976, NOAA, 2015.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0a5354af-c2da-4a3d-a089-8ee870d67f91