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Method for the Determination of the Concentration of the Respirable Atmospheric Aerosol Fraction from the Data of Three-Frequency Lidar Sensing

机译:三频激光雷达传感数据确定可吸入大气气溶胶浓度的方法

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Based on the statistical model of atmospheric aerosol, regression equations are derived for the values of the aerosol extinction ε_a(λ) and backscatteringβ_(πa)(λ) coefficients at wavelengths of 355, 532, and 1064 nm. The equations were tested using experimental and calculated AERONET data. The efficiency of the equations is estimated with the use of algorithms for retrieving the profiles of backscattering coefficients from the data of the three-frequency lidar sensing of the atmosphere via numerical experiments. A method of finding the volume concentration of the aerosol particles H_(2.5) and H_(10) corresponding to the standards for the mass concentrations of PM_(2.5) and PM_(10) is proposed based on the same stated multiple correlation between these characteristics and β_(πa)(λ).
机译:基于大气气溶胶的统计模型,得出了在355、532和1064 nm波长下气溶胶消光ε_a(λ)和反向散射β_(πa)(λ)系数的值的回归方程。使用实验和计算出的AERONET数据对方程进行了测试。方程的效率是通过使用算法通过数字实验从大气的三频激光雷达感测数据中获取反向散射系数的分布图来估计的。基于这些特性之间相同的多重相关性,提出了一种寻找与PM_(2.5)和PM_(10)质量浓度标准相对应的气溶胶颗粒H_(2.5)和H_(10)的体积浓度的方法。和β_(πa)(λ)。

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