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Estimation of hygroscopic growth properties of source-related sub-micrometre particle types in a mixed urban aerosol

Tuan V. Vu, ,
npj Climate and Atmospheric Science , Volume 4, pp 1-8; doi:10.1038/s41612-021-00175-w

Abstract: Knowledge of hygroscopic properties is essential to prediction of the role of aerosol in cloud formation and lung deposition. Our objective was to introduce a new approach to classify and predict the hygroscopic growth factors (Gfs) of specific atmospheric sub-micrometre particle types in a mixed aerosol based on measurements of the ensemble hygroscopic growth factors and particle number size distribution (PNSD). Based on a non-linear regression model between aerosol source contributions from PMF applied to the PNSD data set and the measured Gf values (at 90% relative humidity) of ambient aerosols, the estimated mean Gf values for secondary inorganic, mixed secondary, nucleation, urban background, fresh, and aged traffic-generated particle classes at a diameter of 110 nm were found to be 1.51, 1.34, 1.12, 1.33, 1.09 and 1.10, respectively. It is found possible to impute (fill) missing HTDMA data sets using a Random Forest regression on PNSD and meteorological conditions.
Keywords: model / aerosol / secondary / particle / sub / mixed / hygroscopic / micrometre / PNSD

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