The simulation of aerosol Lidar developed at the Institute of Geophysics
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DOI:
https://doi.org/10.15625/1859-3097/17/4B/12991Keywords:
Lidar, simulation, aerosol, ABL.Abstract
Lidar is an active remote-sensing system that uses laser radiation in the ultraviolet, visible and near-infrared wavelength domain. It allows the measurement of the physical properties of the atmosphere with spatial and temporal resolution. We have simulated the system and researched the initial design of the Lidar system to monitor the aerosol with the main parameters: high power Nd - YAG pulse laser emitted at the 532 nm wavelength. The system includes 28 cm diameter optical glass, photomultiplier tube (PMT) - H6780-03 photodetector, and optical components for convergence and filtering of reflected reflections. Initial measurements show that the Lidar system is highly sensitive, which determines important atmospheric properties such as the distribution and physical properties of the aerosol and height of ABL (atmospheric boundary layer).Downloads
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References
Nguyen Xuan Anh, 2008. Lidar is applied to research in cloudy Ci. Proceedings of the Institute of Geophysics.
Nguyen Thanh Binh, Dinh Van Trung, 2010. Development of the Lidar system and use to research aerosol at the Institute of Physics - some results. Scientific Conference VAST, pp. 9-14.
Nguyen The Hieu, 2010. To study design, manufacture of Lidar system for measuring atmospheric parameters. Code. KC01.21/06-10, 2010.
Jayaraman, A., 2003. Lidar and its Applications. University of Baroda.
Porter, J. N., Lienert, B. R., Sharma, S. K., and Hubble, H. W., 2002. A Small Portable Mie-Rayleigh Lidar System to Measure Aerosol Optical and Spatial Properties. Journal of Atmospheric and Oceanic Technology, 19(11), 1873-1877.
Kovalev, V. A., and Eichinger, W. E., 2004. Elastic lidar: theory, practice, and analysis methods. John Wiley & Sons.
Wandinger, U., 2005. Introduction to Lidar. Range-Resolved Optical Remote Sensing of the Atmosphere, Springer Series in Optical Sciences, Pp. 1-18.
Lammert, A., and Bösenberg, J., 2006. Determination of the convective boundary-layer height with laser remote sensing. Boundary-Layer Meteorology, 119(1), 159-170.
Klett, J. D., 1981. Stable analytical inversion solution for processing lidar returns. Applied optics, 20(2), 211-220.
Klett, J. D., 1985. Lidar inversion with variable backscatter/extinction ratios. Applied Optics, 24(11), 1638-1643.
Kolgotin, A., Müller, D., Chemyakin, E., and Romanov, A., 2016. Improved identification of the solution space of aerosol microphysical properties derived from the inversion of profiles of lidar optical data, part 2: simulations with synthetic optical data. Applied optics, 55(34), 9850-9865.
Abari, C. F., Chu, X., Hardesty, R. M., and Mann, J., 2015. A reconfigurable all-fiber polarization-diversity coherent Doppler lidar: principles and numerical simulations. Applied optics, 54(30), 8999-9009.
Le Huy Minh, et al., 2011. Applying aerospace technology to study the effect of ionosphere and atmospheric layer on the accuracy of satellite signals in Vietnam. Space Science and Technology Program Report (in Vietnamese).
Au Duy Tuan, Nguyen Xuan Anh, Nguyen The Truyen, 2016. To complete of Lidar system for aerosol monitoring - Lidar simulation. National Conference on Electronics, Communications and Information Technology REV - 2016 Proceedings, pp. 48-51 (in Vietnamese).
Ansmann, A., and Müller, D., 2005. Lidar and atmospheric aerosol particles. In Lidar (pp. 105-141). Springer, New York, NY.
Brooks, I. M., 2003. Finding boundary layer top: Application of a wavelet covariance transform to lidar backscatter profiles. Journal of Atmospheric and Oceanic Technology, 20(8), 1092-1105.
Bösenberg, J., and Linné, H., 2002. Laser remote sensing of the planetary boundary layer. Meteorologische Zeitschrift, 11(4), 233-240.
Photomultiplier Tubes and Assemblies, Hamamatsu 2012, Japan.