Regression approach to analyzing the informativity and interpretation of aerosol optical measurements

Lisenko, S. A.; Kugeiko, M. M.

doi:10.1007/s10812-010-9278-8

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…This results in poor con ditionality of the set of equations (1) corresponding to optical sensing wavelengths and, hence, to a strong dependence of the reverse problem's solution on opti cal measurement errors. For this reason, no less important is the assessment of the optical measure ment errors and an optimal number of sensing wave lengths, at which the solution of reverse problem (1) gains the accuracy of aerosol concentration detection in comparison with the use of the connecting coeffi cient K. As has been shown in [13], the multiple regression method can be used for such assessments; it allows estimation of the information capability of optical measurements with accounting for their errors.…”

Section: S a Lysenko And M M Kugeikomentioning

confidence: 99%

Retrieval of the mass concentration of dust in industrial emissions from optical sensing data

Lysenko

Kugeiko

2012

Atmos Ocean Opt

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A statistical microphysical model of the dust, emitted into the atmosphere by cement enterprises, is developed, which allows for possible variations in the chemical composition of particles, their concentra tions, and size distribution function. An ensemble of microphysical parameters of dust was simulated and the extinction coefficient was calculated at wavelengths of 0.355, 0.532, 1.064, 1.25, 1.56, 1.67, and 2.14 μm from the "windows of transparency" of exhaust gas at cement enterprises. The errors of retrieval of the mass con centration of dust from the data of optical sensing at wavelengths of a Nd:YAG laser with third harmonic gen eration, are estimated on the basis of a multiple regression method. The sets of two (0.532 and 2.14 μm) and three (0.532, 1.56, and 2.14 μm) wavelengths of optical sensing are ascertained, which are optimal in terms of their information content about the concentration and the resistance of the corresponding solutions of the inverse problem to measurement errors, and the effect of dust particle shape. Dependencies of errors of con centration retrieval, from the extinction coefficient at optimal wavelengths, on the optical measurement error are calculated. A tight correlation between the dust concentration and its extinction coefficient at a wave length of 2.14 μm was derived; it allows retrieval of the concentration from fixed frequency optical sensing data with an error of about 8%.

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Section: S a Lysenko And M M Kugeikomentioning

confidence: 99%

Retrieval of the mass concentration of dust in industrial emissions from optical sensing data

Lysenko

Kugeiko

2012

Atmos Ocean Opt

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“…Herein a regression approach is used to solve the inverse problems [17,18]. The optical probe wavelengths and scattered light recording angles are selected so that they are optimal with respect to their information value regarding the cement dust microphysical parameters (mass concentration and effective particle size) and their stability to optical measurement uncertainty for solving the inverse problem.…”

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Spectronephelometric methods to determine microphysical characteristics of dust in aspiration air and off-gases in cement plants

Lisenko

Kugeiko

2012

J Appl Spectrosc

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The information value of spectral directional scattering coefficients of cement dust released into both the atmosphere and aspiration air during cement production is analyzed in terms of the concentration and effective dust particle size based on a regression approach to solving the inverse problem. The most effective layouts of dust meters that combine ease of implementation with high accuracy over the entire range of physicochemical properties of dust are considered.Introduction. The activity of cement plants is unavoidably connected with extensive release of gas-dust streams into the atmosphere. The high concentration of solid pollutants (dust) in the releases inflicts enormous damage on the environment and causes irreversible loss of a large amount of raw material and finished product and premature deterioration of living quarters, etc. In addition to this, high dust concentrations in workplace air degrade the health conditions of the workers and reduce their productivity. In several instances they can cause occupational diseases. Therefore, an important problem for modern industry is protection of the environment from releases of dust and hazardous gases.Various dust-trapping apparatuses such as electric filters, sleeve filters, cyclones, inertial dust-traps, etc. are currently used to remove dust from workplace air of industrial facilities and gases released into the atmosphere [1-3]. However, in many instances the dust concentration of industrial releases exceed by several times the maximum allowed concentrations defined by regulations [2].According to current rules and standards, the mass concentration of dust in off-gases is used to monitor the effectiveness of existing dust-trapping apparatuses and to evaluate the throughput of designed ones [2]. This parameter is also applicable to health and epidemiological services for quantitative estimation of industrial atmospheric dust releases [4,5].Methods for measuring dust concentration are divided into two groups. Those of the first group are based on preliminary precipitation of dust particles and a study of the precipitate. Those of the second group do not include preliminary precipitation [3]. The principal advantage of the first group is the capability for direct measurement of the dust mass concentration. Its disadvantages are the labor-intensiveness of the measurements and the need for strict observance of lengthy procedures that required highly qualified personnel. As a result, air pollution becomes apparent only after the passage of a significant time period after its occurrence. Advantages of the second group are the capability for direct measurements in the gas-dust stream itself without the use of a sampling device, continuous measurements, high sensitivity, and the ability for total automation of the measurement process. The stream is not subjected to aerodynamic distortion during the measurements. Furthermore, these methods provide continuous information about the instantaneous dust concentration in the stream and trends in its change. This enab...

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Retrieval of optical and microphysical characteristics of postvolcanic stratospheric aerosol from the results of three-frequency lidar sensing

Lysenko

Kugeiko

2011

Atmos Ocean Opt

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Regression approach to analyzing the informativity and interpretation of aerosol optical measurements

Cited by 5 publications

References 5 publications

Retrieval of the mass concentration of dust in industrial emissions from optical sensing data

Retrieval of the mass concentration of dust in industrial emissions from optical sensing data

Spectronephelometric methods to determine microphysical characteristics of dust in aspiration air and off-gases in cement plants

Retrieval of optical and microphysical characteristics of postvolcanic stratospheric aerosol from the results of three-frequency lidar sensing

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