Vol. 24, issue 11, article # 6
Lysenko S. A., Kugeiko M. M. Retrieval of the mass concentration of dust in industrial emissions from data of optical sensing. // Optika Atmosfery i Okeana. 2011. V. 24. No. 11. P. 960-968 [in Russian].Copy the reference to clipboard
Abstract:
A statistical-microphysical model of the dust, emitted into the atmosphere by cement enterprises, is developed, which allows for possible variations of the chemical composition of particles, their concentration and size distribution. An ensemble of microphysical parameters of dust was simulated and extinction coefficient was calculated at wavelengths of 0.355, 0.532, 1.064, 1.25, 1.56, 1.67, and 2.14 mm from the windows of transparency of exhaust gas in cement plants. On the basis of multiple regressions method the errors of retrieval of mass concentration of dust from the data of optical sensing at wavelengths of Nd: YAG-laser with third harmonic generation, was estimated. The sets of two (0.532, 2.14 mm) and three (0.532, 1.56, 2.14 mm) wavelengths of optical sensing are established, which are optimal in terms of their information about the concentration, stability of inverse problem's solution to errors of optical measurements and to the effect of the shape of dust particles. Dependences of error in retrieval of concentration from extinction coefficient at optimal wavelengths on error of optical measurements were calculated. The close correlation between the concentration of dust and its extinction coefficient at wavelength of 2.14 mm was established, which allows us to extract the concentration from data of fixed-frequency optical sensing with an error of 8%.
Keywords:
industrial exhaust in atmosphere, cement dust, optical sensing, inverse problem, multiple regressions