Conversion of the diffusion battery data to particle size distribution: Multiple solutions averaging algorithm (MSA)

Eremenko, S.I.; Ankilov, A. N.

doi:10.1016/0021-8502(95)97282-j

Cited by 14 publications

(9 citation statements)

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“…The particle number density is measured sequentially at the exit of each DB section with the CPC model 3756 condensation particle counter. After every scan of all DB sections, the size spectrum is retrieved by the algorithm developed by Alexander Ankilov and Sergei Eremenko (Eremenko and Ankilov, 1995), which was chosen by TSI as the basic software for DPS diffusion classifier (Knutson, 1999). The use of the WCPC 3756 condensation particle counter having the response time <2 s has allowed us to obtain the entire nanoparticle size distribution for 80 s.…”

Section: Devices For Measurement Of the Particle Size Distributionmentioning

confidence: 99%

Integrated airborne investigation of the air composition over the Russian sector of the Arctic

et al. 2022

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Abstract. The change of the global climate is most pronounced in the Arctic, where the air temperature increases 2 to 3 times faster than the global average. This process is associated with an increase in the concentration of greenhouse gases in the atmosphere. There are publications predicting the sharp increase in methane emissions into the atmosphere due to permafrost thawing. Therefore, it is important to study how the air composition in the Arctic changes in the changing climate. In the Russian sector of the Arctic, the air composition was measured only in the surface atmospheric layer at the coastal stations or earlier at the drifting stations. Vertical distributions of gas constituents of the atmosphere and aerosol were determined only in a few small regions. That is why the integrated experiment was carried out to measure the composition of the troposphere in the entire Russian sector of the Arctic from on board the Optik Tu-134 aircraft laboratory in the period of 4 to 17 September of 2020. The aircraft laboratory was equipped with contact and remote measurement facilities. The contact facilities were capable of measuring the concentrations of CO2, CH4, O3, CO, NOx, and SO2, as well as the disperse composition of particles in the size range from 3 nm to 32 µm, black carbon, and organic and inorganic components of atmospheric aerosol. The remote facilities were operated to measure the water transparency in the upper layer of the ocean, the chlorophyll content in water, and spectral characteristics of the underlying surface. The measured data have shown that the ocean continues absorbing CO2. This process is most intense over the Barents and Kara seas. The recorded methane concentration was increased over all the Arctic seas, reaching 2090 ppb in the near-water layer over the Kara Sea. The contents of other gas components and black carbon were close to the background level. In bioaerosol, bacteria predominated among the identified microorganisms. In most samples, they were represented by coccal forms, less often spore-forming and non-spore-bearing rod-shaped bacteria. No dependence of the representation of various bacterial genera on the height and the sampling site was revealed. The most turbid during the experiment was the upper layer of the Chukchi and Bering seas. The Barents Sea turned out to be the most transparent. The differences in extinction varied by more than a factor of 1.5. In all measurements, except for the Barents Sea, the tendency of an increase in chlorophyll fluorescence in more transparent waters was observed.

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Section: Devices For Measurement Of the Particle Size Distributionmentioning

confidence: 99%

Integrated airborne investigation of the air composition over the Russian sector of the Arctic

et al. 2022

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“…Ankilov and S.I. Eremenko (Eremenko, Ankilov, 1995), which was chosen by TSI as the basic software for DPS diffusion classifier (Knutson,1999). The use of the WCPC 3756 condensation particle counter having the response time <2 s has allowed us to obtain the entire nanoparticle size distribution for 80 s.…”

Section: Devices For Measurement Of the Particle Size Distributionmentioning

confidence: 99%

Integrated airborne investigation of the air composition over the Russian Sector of the Arctic

Belan

Ancellet

Андреева

et al. 2022

Preprint

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Abstract. The change of the global climate is most pronounced in the Arctic, where the air temperature increases two to three times faster than the global average. This process is associated with an increase in the concentration of greenhouse gases in the atmosphere. There are publications predicting the sharp increase of methane emissions into the atmosphere due to permafrost thawing. Therefore, it is important to study how the air composition in the Arctic changes in the changing climate. In the Russian sector of the Arctic, the air composition was measured only in the surface atmospheric layer at the coastal stations or earlier at the drifting stations. Vertical distributions of gas constituents of the atmosphere and aerosol were determined only in few small regions. That is why the integrated experiment was carried out to measure the composition of the troposphere in the entire Russian sector of the Arctic from onboard the Optik Tu-134 aircraft laboratory in the period of September 4 to 17 of 2020. The aircraft laboratory was equipped with contact and remote measurement facilities. The contact facilities were capable of measuring the concentrations of CO2, CH4, O3, CO, NOX, and SO2, as well as the disperse composition of particles in the size range from 3 nm to 32 µm, black carbon, organic and inorganic components of atmospheric aerosol. The remote facilities were operated to measure the water transparency in the upper layer of the ocean, the chlorophyll content in water, and spectral characteristics of the underlying surface. The measured data have shown that the ocean continues absorbing СО2. This process is most intense over the Barents and Kara Seas. The recorded methane concentration was increased over all the arctic seas, reaching 2090 ppb in the near-water layer over the Kara Sea. The contents of other gas components and black carbon were close to the background level. In bioaerosol, bacteria predominated among the identified microorganisms. In most samples, they were represented by coccal forms, less often spore-forming and non-spore-bearing rod-shaped bacteria. No dependence of the representation of various bacterial genera on the height and the sampling site was revealed. The most turbid during the experiment was the upper layer of the Chukchi and Bering Seas. The Barents Sea turned out to be the most transparent. The differences in extinction varied more than 1.5 times. In all measurements, except for the Barents Sea, the tendency to an increase in chlorophyll fluorescence in more transparent waters was observed.

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“…After every scan of all DB channels, the size spectrum is retrieved with the use of the algorithm developed by A. N. Ankilov and S. I. Eremenko (Eremenko and Ankilov, 1995) with regard to the WCPC 3781 counting efficiency. Due to the use of the WCPC 3781 condensation particle counter with a response time of < 2 s, the full size distribution of nanoparticles is obtained in 80 s.…”

Section: Measurement Systemmentioning

confidence: 99%

Complex experiment on studying the microphysical, chemical, and optical properties of aerosol particles and estimating the contribution of atmospheric aerosol-to-earth radiation budget

et al. 2015

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Abstract. The primary objective of this complex aerosol experiment was the measurement of microphysical, chemical, and optical properties of aerosol particles in the surface air layer and free atmosphere. The measurement data were used to retrieve the whole set of aerosol optical parameters, necessary for radiation calculations. Three measurement cycles were performed within the experiment during 2013: in spring, when the aerosol generation is maximal; in summer (July), when atmospheric boundary layer altitude and, hence, mixing layer altitude are maximal; and in late summer/early autumn, during the period of nucleation of secondary particles. Thus, independently obtained data on the optical, meteorological, and microphysical parameters of the atmosphere allow intercalibration and inter-complement of the data and thereby provide for qualitatively new information which explains the physical nature of the processes that form the vertical structure of the aerosol field.

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Conversion of the diffusion battery data to particle size distribution: Multiple solutions averaging algorithm (MSA)

Cited by 14 publications

References 0 publications

Integrated airborne investigation of the air composition over the Russian sector of the Arctic

Integrated airborne investigation of the air composition over the Russian sector of the Arctic

Integrated airborne investigation of the air composition over the Russian Sector of the Arctic

Complex experiment on studying the microphysical, chemical, and optical properties of aerosol particles and estimating the contribution of atmospheric aerosol-to-earth radiation budget

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