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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Nature Portfolio
2021
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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) |
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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 |
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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 |
work_keys_str_mv |
AT tuanvvu estimationofhygroscopicgrowthpropertiesofsourcerelatedsubmicrometreparticletypesinamixedurbanaerosol AT zongboshi estimationofhygroscopicgrowthpropertiesofsourcerelatedsubmicrometreparticletypesinamixedurbanaerosol AT roymharrison estimationofhygroscopicgrowthpropertiesofsourcerelatedsubmicrometreparticletypesinamixedurbanaerosol |
_version_ |
1718393135362473984 |