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Miniaturization of elastic scattering lidars: determination of the microstructure of the surface layer of the atmosphere

https://doi.org/10.32446/0368-1025it.2024-4-32-38

Abstract

Miniature elastic scattering lidars with similar schemes for determining the microstructure of the surface layer of the atmosphere are considered. In the considered microlidar model, it is assumed that in the limiting case there may be no particles in a small probed volume. In this case, the minimum value of the return signal corresponds to molecular scattering. The excess of the signal above this level is associated with the presence of a particle. The molecular component of the backscatter signal is constant and can be compared to a tabulated value of the backscatter coefficient using an optical atmospheric model. This makes it possible to compare the average value of the total backscattering signal from molecules and particles with the overall backscattering coefficient. A scheme similar to a microlidar, but on an enlarged scale – a minilidar – is considered. For both such schemes, the average values of atmospheric backscatter signals are the same. For a minilidar, the return signal is formed by scattering from a layer ranging in size from several meters to several tens of meters. In this case, the probed volume can be determined using perforated screens and reflective spheres. It is shown that the ratio of the probed volumes for the minilidar and microlidar is equal to the similarity coefficient to the fourth power. The considered lidars can be used to determine the concentration of equivalent particles.

About the Authors

G. P. Arumov
Space Research Institute of the Russian Academy of Sciences
Russian Federation

Georgy P. Arumov.

Moscow



A. V. Bukharin
Space Research Institute of the Russian Academy of Sciences
Russian Federation

Alexei V. Bukharin.

Moscow



References

1. Measures R. M. Laser Remote Sensing: Fundamentals and Applications, Wiley, New York (1983).

2. Klett J. D. Stable analytical inversion solution for processing lidar returns. Applied Optics, 20(2), 211–220 (1981). https://doi.org/10.1364/AO.20.000211

3. Veselovskii I., Kolgotin A., Griaznov V., Muller D., Wandinger U., Whiteman D. N. Inversion with regularization for the retrieval of tropospheric aerosol parameters from multiwavelength lidar sounding. Applied Optics, 41(18), 3685–3699 (2002). https://doi.org/10.1364/AO.41003685

4. Izhovkina N. I., Artekha S. N., Erokhin N. S., Mikhailovskaya L. A. Aerosol, plasma vortices and atmospheric processes. Izvestiya, Atmospheric and Oceanic Physics, 54(11), 1513–1524 (2018). https://doi.org/10.1134/S0001433818110038

5. Kavaya M. J., Menzies R. T. Lidar aerosol backscatter measurements: systematic, modeling, and calibration error considerations. Applied Optics, 24(21), 3444–3453 (1985). https://doi.org/10.1364/AO.24.003444

6. Bohu Liu, Chengtian Song, Yabo Duan. The characteristics simulation of FMCW laser backscattering signals, Optical Review, 25, 197–204 (2018). https://doi.org/10.1007/s10043-018-0406-7

7. Tatsuo Shiina. LED mini lidar for atmospheric application. Japan Sensors, 19, 569 (2019). https://doi.org/10.3390/s19030569

8. Arumov G. P., Bukharin A. V., Makarov V. S. Three-dimensional reflecting objects in the problem of modeling a lidar signal from a scattering layer. Current Problems in Remote Sensing of the Earthfrom Space, 19(4), 328–334 (2022) (In Russ.). https://doi.org/10.21046/2070-7401-2022-19-4-328-334

9. Arumov G. P., Bukharin A. V., Tyurin A. V. Use of statistically inhomogeneous screens in calibration of lidar from the parameters of images of particles for the bottom layer of the atmosphere. Measurement Techniques, 57(3), 287–293 (2014). https://doi.org/10.1007/s11018-014-0447-7

10. Komarizadehasl S., Mobaraki B., Ma H., Lozano-Galant J.-A., Turmo J. Low-cost sensors accuracy study and enhancement strategy. Applied Sciences, (12), 3186 (2022). https://doi.org/10.3390/app12063186

11. Razenkov I. A., Rostov A. P. Automatic nephelometer of open type for atmospheric investigations. Atmospheric and Oceanic Optics, 10(8), 941–945 (1997). (In Russ.)

12. Akhmanov S. A., Dyakov Yu. E., Chirkin A. S. Introduction to statistical radiophysics and optics, Nauka Publ., Moscow (1981). (In Russ.)

13. Arumov G. P., Buharin A. V., The problem of uncertainties in the experimental determination of the angular geometry of the halo from a plane wave in a scattering medium. Current Problems in Remote Sensing of the Earth from Space, 5(1), 19–25 (2007). (In Russ)

14. Arumov G. P., Buharin A. V., Use of special screens simulating scattered radiation by a medium to measure the equivalent cross-section of particles. Current Problems in Remote Sensing of the Earth from Space, 18(3), 298–306 (2021) (In Russ.). https://doi.org/10.21046/2070-7401-2021-18-3-298-306


Review

For citations:


Arumov G.P., Bukharin A.V. Miniaturization of elastic scattering lidars: determination of the microstructure of the surface layer of the atmosphere. Izmeritel`naya Tekhnika. 2024;(4):32-38. (In Russ.) https://doi.org/10.32446/0368-1025it.2024-4-32-38

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ISSN 0368-1025 (Print)
ISSN 2949-5237 (Online)