Consideration of selective and nonselective absorption by water vapor and ozone when sounding atmospheric organic aerosol with a CO2 laser-based IR lidar

Anton Klimkin, Grigorii Kokhanenko, T. Kuraeva, Yurii Ponomarev, Igor Ptashnik
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Abstract

Substances with different absorption spectra have different backscatter spectra. If the range of sounding wavelengths is narrow, but includes evident absorption bands of an aerosol substance, then this substance can be detected from the backscattering spectrum. This is a ground for the use of the differential scattering (DICS) technique for the detection of known organic compounds in natural and anthropogenic aerosol. CO2 lasers with the wavelength tuning range 9–11 μm, which includes the absorption bands of many organic substances, are apparently the most suitable for DICS implementation. It should be borne in mind that when the imaginary part of the refractive index changes (for example, when an absorbing substance is added to a water drop), the real part of the refractive index is also changes. For large particles (r ≥ 10 μm), even small changes in the refractive index significantly affect the backscattering efficiency. The accuracy of the literature data is insufficient for preliminary (a priori) calculation of aerosol backscatter coefficients. Therefore, the development of DICS requires extensive field measurements and their complex mathematical processing with the use of machine learning algorithms. This research sets out the task of systematization of the backscattering radiation by atmospheric aerosol with different organic substances and finding out the wave lengths where the backscatter signal is higher than the selective and continuum atmospheric molecular absorption.
基于CO2激光的红外激光雷达探测大气有机气溶胶时对水蒸气和臭氧选择性和非选择性吸收的考虑
具有不同吸收光谱的物质具有不同的后向散射光谱。如果探测波长范围较窄,但有明显的气溶胶物质的吸收带,则可以从后向散射光谱中检测到该物质。这为利用微分散射(DICS)技术检测天然和人为气溶胶中的已知有机化合物奠定了基础。CO2激光器的波长可调谐范围为9 ~ 11 μm,其中包括许多有机物质的吸收带,显然最适合实现DICS。应该记住,当折射率的虚部发生变化时(例如,当吸收物质加入水滴时),折射率的实部也会发生变化。对于大颗粒(r≥10 μm),即使微小的折射率变化也会显著影响后向散射效率。文献数据的准确性不足以用于气溶胶后向散射系数的初步(先验)计算。因此,DICS的开发需要广泛的现场测量和使用机器学习算法进行复杂的数学处理。本研究的任务是对大气气溶胶中不同有机物的后向散射辐射进行系统化研究,找出后向散射信号高于大气分子选择性连续吸收的波长。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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