Preprints
https://doi.org/10.5194/egusphere-2024-1898
https://doi.org/10.5194/egusphere-2024-1898
09 Oct 2024
 | 09 Oct 2024
Status: this preprint is open for discussion.

Accounting for effects of coagulation and model uncertainties in particle number concentration estimates based on measurements from sampling lines – A Bayesian inversion approach with SLIC v1.0

Matti Niskanen, Aku Seppänen, Henri Oikarinen, Miska Olin, Panu Karjalainen, Santtu Mikkonen, and Kari Lehtinen

Abstract. The particle number (PN) emissions of both light- and heavy-duty vehicles are nowadays regulated, and are typically measured from a full dilution tunnel with constant volume sampling (CVS). PN measurements for research and development purposes, though, are often taken from the raw exhaust to avoid the high set up costs of CVS. There is, however, a risk with these and any other kind of PN measurements with high number concentrations, that physical processes such as coagulation and diffusion losses inside sampling lines can alter, sometimes dramatically, the particle size distribution and bias its measurement. In this paper, we propose a method in the Bayesian framework for inverse problems to estimate the initial, unaltered, particle size distribution, based on the distorted measurements. The proposed method takes into account particle morphology and van der Waals/viscous forces in the coagulation model, allows the incorporation of prior information on the particle size distribution and, most importantly, a systematic quantification of uncertainty. We analyze raw exhaust PN measurements of a fuel-operated auxiliary heater, and find that while a typical sampling line can reduce the PN by more than 50 %, the initial particle size distribution can be feasibly estimated with reasonable computational demands. The proposed method should give more freedom for designing the measurement set up and also aid in the comparison of results obtained at different sampling locations, such as CVS and tailpipe.

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Matti Niskanen, Aku Seppänen, Henri Oikarinen, Miska Olin, Panu Karjalainen, Santtu Mikkonen, and Kari Lehtinen

Status: open (until 14 Dec 2024)

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Matti Niskanen, Aku Seppänen, Henri Oikarinen, Miska Olin, Panu Karjalainen, Santtu Mikkonen, and Kari Lehtinen
Matti Niskanen, Aku Seppänen, Henri Oikarinen, Miska Olin, Panu Karjalainen, Santtu Mikkonen, and Kari Lehtinen

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Short summary
Particle size is a key factor determining the properties of aerosol particles, which have a major influence on the climate and on human health. When measuring the particle sizes, however, sometimes the sampling lines that transfer the aerosol to the measurement device distort the size distribution, making the measurement unreliable. We propose a method to correct for the distortions and estimate the true particle sizes, improving measurement accuracy.