Main trends in the improvement of software of mobile laser remote chemical reconnaissance complexes
https://doi.org/10.35825/2587-5728-2019-3-1-4-14
EDN: ouhwvq
Abstract
The contemporary level of the development of the theory of laser location and technical possibilities of lidar systems allows not only to solve certain problems of remote control of the optical properties of aerosol formations, but also to measure their concentrational characteristics and the parameters of the distribution function of the aerosol particles, using multi-frequency laser sensing. Because of that the remote means of chemical reconnaissance of active type with the function of measuring the parameters of aerosols of toxic substances and highly active toxic substances represent a new generation of such technologies. It is possible to give certain promising mobile lidar complexes of remote chemical reconnaissance special functions of measuring systems by introducing modern software and special algorithms for reversing lidar sensing data into macro- and microstructural characteristics of clouds of physiologically active substances (PhAS) in the atmosphere. This ensures control of the concentrations of multicomponental mixtures of PhAS, the parameters of the distribution function of the aerosol of PhAS by dispersion with the overlapping of isolines of the concentrations of the displayed PhAS on the terrain map. Mathematical studies allows us to formulate basic requirements for multi-frequency lidar measurements – optical measurement error for all λi should not exceed 5% - the imaginary part of the complex index of refraction of the substance of the aerosol of PhAS should be χ ≤ 0, 005 the error in specifying the real part of the complex refractive index must be within +_0,02. If these requirements are met, this sensing method becomes an effective tool for the study of the disperse composition of aerosols.
About the Authors
V. A. InozemcevRussian Federation
Valeriy Alexandrovich Inozemcev. Head of the Institute, Candidate of Chemical Sciences
1 Krasnoznamennaуа Street, Volsk-18, Saratov Region 412918
A. A. Grigor’ev
Russian Federation
Alexandr Alexandrovich Grigor’ev. Leading Researcher, Candidate of Technical Sciences
1 Krasnoznamennaуа Street, Volsk-18, Saratov Region 412918
I. N. Efimov
Russian Federation
Igor’ Nikolaevich Efimov. Head of Department, Candidate of Technical Sciences
1 Krasnoznamennaуа Street, Volsk-18, Saratov Region 412918
A. A. Pozvonkov
Russian Federation
Andrey Alexandrovich Pozvonkov. Deputy Head of Department, Candidate of Technical Sciences
1 Krasnoznamennaуа Street, Volsk-18, Saratov Region 412918
A. S. Soloshin
Russian Federation
Andrey Sergeevich Soloshin. Junior researcher
1 Krasnoznamennaуа Street, Volsk-18, Saratov Region 412918
References
1. Veselovsky I.A. Remote laser diagnostics of aerosol and gas components of atmosphere by Raman methods and elastic dispersion: Dis. Doc. Phys.-math. sciences. Moscow: IOF the Russian Academy of Sciences, 2005. 384 p. (in Russian).
2. Kozintsev V.I., Orlov V.M., Belov M.L. et al. Optikoelectronic systems of ecological monitoring of environment / Ed. Rozhdestvin V.N. Мoscow: publ. MGTU of AD Bauman, 2002. 528 p. (in Russian).
3. Ansmann A., Riebesell M., Wandinger U. et al. Combined Raman elastic-backscatter lidar for vertical profiling of moisture, aerosols extinction, and lidar ratio // Appl. Phys. 1992, V. 55. P. 18.
4. Grigorev A.A., Serebrennikov B.V. Method of remote control of disperse structure of aerosols of poison gases by a method of multifrequency laser sounding in places of storage and destruction of poison gases at occurrence of supernumerary situations // Reports Academy of military sciences. 2008. № 4. P. 63–69 (in Russian)
5. Patent RU № 2578105 (19.02.2016). (in Russian).
6. Big encyclopaedic dictionary / Ed. Knunjantsa I.L. Moscow: 1998. 207 p. (in Russian).
7. Tihonov A.N., Arsenin V.J. Methods of the decision of incorrect problems. Moscow: 1974. 203 p. (in Russian).
8. Veselovskii I., Kolgotin A., Griaznov V. et al. Inversion with regularization for the retrieval of tropospheric aerosol parameters from multiwavelength lidar sounding // Appel. Opt. 2002. V. 41. P. 3685–3699.
9. Veselovskii I., Kolgotin A., Müller D. Retrieval of bimodal aerosol size distribution with multiwavelength Mie-Raman lidar // In: 6-th International Symposium on Troposphere Profiling, Leipzig, Germany, September 14–20, 2003. P. 363–365.
10. Kolmogorov А.Н. About logarithmically normal law of distribution of particles at crushing // Reports АН the USSR. 1941. № 2. P. 36–41 (in Russian).
11. Veselovsky I.A., Kolgotin A., Müller D., Whiteman D.N. Information content of multiwavelength lidar data with respect to microphysical particle properties derived from eigenvalue analysis // Appl. Opt. 2005. V. 44. P. 5292– 5303.
12. Naats I.E. Incorrect return problems of laser sounding of atmospheric aerosols: In book V All-Union symposium on laser and acoustic sounding of atmosphere. Capter 2. Tomsk: IOA CO AN the USSR, 1978. (in Russian).
13. Zuev V.E. Optical experiment and results of the reference of the data on multifrequency laser sounding of a microstructure of a ground layer: In book: Problems of remote sounding of atmosphere. Tomsk: IOA CO АN the USSR, 1976 (in Russian).
14. Naats I.E. A method of a return problem in atmospheric optics. Novosibirsk: 1986. 179 p. (in Russian).
Review
For citations:
Inozemcev V.A., Grigor’ev A.A., Efimov I.N., Pozvonkov A.A., Soloshin A.S. Main trends in the improvement of software of mobile laser remote chemical reconnaissance complexes. Journal of NBC Protection Corps. 2019;3(1):4-14. (In Russ.) https://doi.org/10.35825/2587-5728-2019-3-1-4-14. EDN: ouhwvq