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

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...

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Autores principales: Tuan V. Vu, Zongbo Shi, Roy M. Harrison
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/1c6ec93f569642e09a30647246d8d640
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spelling oai:doaj.org-article:1c6ec93f569642e09a30647246d8d6402021-12-02T13:24:00ZEstimation of hygroscopic growth properties of source-related sub-micrometre particle types in a mixed urban aerosol10.1038/s41612-021-00175-w2397-3722https://doaj.org/article/1c6ec93f569642e09a30647246d8d6402021-03-01T00:00:00Zhttps://doi.org/10.1038/s41612-021-00175-whttps://doaj.org/toc/2397-3722Abstract 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.Tuan V. VuZongbo ShiRoy M. HarrisonNature PortfolioarticleEnvironmental sciencesGE1-350Meteorology. ClimatologyQC851-999ENnpj Climate and Atmospheric Science, Vol 4, Iss 1, Pp 1-8 (2021)
institution DOAJ
collection DOAJ
language EN
topic Environmental sciences
GE1-350
Meteorology. Climatology
QC851-999
spellingShingle Environmental sciences
GE1-350
Meteorology. Climatology
QC851-999
Tuan V. Vu
Zongbo Shi
Roy M. Harrison
Estimation of hygroscopic growth properties of source-related sub-micrometre particle types in a mixed urban aerosol
description 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.
format article
author Tuan V. Vu
Zongbo Shi
Roy M. Harrison
author_facet Tuan V. Vu
Zongbo Shi
Roy M. Harrison
author_sort Tuan V. Vu
title Estimation of hygroscopic growth properties of source-related sub-micrometre particle types in a mixed urban aerosol
title_short Estimation of hygroscopic growth properties of source-related sub-micrometre particle types in a mixed urban aerosol
title_full Estimation of hygroscopic growth properties of source-related sub-micrometre particle types in a mixed urban aerosol
title_fullStr Estimation of hygroscopic growth properties of source-related sub-micrometre particle types in a mixed urban aerosol
title_full_unstemmed Estimation of hygroscopic growth properties of source-related sub-micrometre particle types in a mixed urban aerosol
title_sort estimation of hygroscopic growth properties of source-related sub-micrometre particle types in a mixed urban aerosol
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/1c6ec93f569642e09a30647246d8d640
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AT zongboshi estimationofhygroscopicgrowthpropertiesofsourcerelatedsubmicrometreparticletypesinamixedurbanaerosol
AT roymharrison estimationofhygroscopicgrowthpropertiesofsourcerelatedsubmicrometreparticletypesinamixedurbanaerosol
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