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Atmospheric aerosol growth rates at different background station types

Highly time-resolved particle number size distributions (PNSDs) were evaluated during 5 years (2013–2017) at four background stations in the Czech Republic located in different types of environments—urban background (Ústí nad Labem), industrial background (Lom), agricultural background (National Atm...

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Autores principales: Holubová Šmejkalová, Adéla, Zíková, Naděžda, Ždímal, Vladimír, Plachá, Helena, Bitter, Miroslav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943522/
https://www.ncbi.nlm.nih.gov/pubmed/33184792
http://dx.doi.org/10.1007/s11356-020-11424-5
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author Holubová Šmejkalová, Adéla
Zíková, Naděžda
Ždímal, Vladimír
Plachá, Helena
Bitter, Miroslav
author_facet Holubová Šmejkalová, Adéla
Zíková, Naděžda
Ždímal, Vladimír
Plachá, Helena
Bitter, Miroslav
author_sort Holubová Šmejkalová, Adéla
collection PubMed
description Highly time-resolved particle number size distributions (PNSDs) were evaluated during 5 years (2013–2017) at four background stations in the Czech Republic located in different types of environments—urban background (Ústí nad Labem), industrial background (Lom), agricultural background (National Atmospheric Observatory Košetice), and suburban background (Prague-Suchdol). The PNSD data was used for new particle formation event determination as well as growth rate (GR) and condensation sink (CS) calculations. The differences or similarities of these parameters were evaluated from perspectives of the different pollution load, meteorological condition, and regional or long-range transport. The median growth rate (4 nm h(−1)) is very similar at all stations, and the most frequent length of growth lasted between 2 and 4 h. Condensation sink reflects the pollution load at the individual station and their connection to the environment type. The highest median, CS = 1.34 × 10(−2) s(−1), was recorded at the urban station (Ústí nad Labem), and the lowest (CS = 0.85 × 10(−2) s(−1)) was recorded at the agricultural station (National Atmospheric Observatory Košetice). Conditional probability function polar plots illustrate the influence of source location to GR. These primary potential emission sources involve traffic, operation of a power plant, and domestic heating. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-020-11424-5.
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spelling pubmed-79435222021-03-28 Atmospheric aerosol growth rates at different background station types Holubová Šmejkalová, Adéla Zíková, Naděžda Ždímal, Vladimír Plachá, Helena Bitter, Miroslav Environ Sci Pollut Res Int Research Article Highly time-resolved particle number size distributions (PNSDs) were evaluated during 5 years (2013–2017) at four background stations in the Czech Republic located in different types of environments—urban background (Ústí nad Labem), industrial background (Lom), agricultural background (National Atmospheric Observatory Košetice), and suburban background (Prague-Suchdol). The PNSD data was used for new particle formation event determination as well as growth rate (GR) and condensation sink (CS) calculations. The differences or similarities of these parameters were evaluated from perspectives of the different pollution load, meteorological condition, and regional or long-range transport. The median growth rate (4 nm h(−1)) is very similar at all stations, and the most frequent length of growth lasted between 2 and 4 h. Condensation sink reflects the pollution load at the individual station and their connection to the environment type. The highest median, CS = 1.34 × 10(−2) s(−1), was recorded at the urban station (Ústí nad Labem), and the lowest (CS = 0.85 × 10(−2) s(−1)) was recorded at the agricultural station (National Atmospheric Observatory Košetice). Conditional probability function polar plots illustrate the influence of source location to GR. These primary potential emission sources involve traffic, operation of a power plant, and domestic heating. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11356-020-11424-5. Springer Berlin Heidelberg 2020-11-12 2021 /pmc/articles/PMC7943522/ /pubmed/33184792 http://dx.doi.org/10.1007/s11356-020-11424-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Holubová Šmejkalová, Adéla
Zíková, Naděžda
Ždímal, Vladimír
Plachá, Helena
Bitter, Miroslav
Atmospheric aerosol growth rates at different background station types
title Atmospheric aerosol growth rates at different background station types
title_full Atmospheric aerosol growth rates at different background station types
title_fullStr Atmospheric aerosol growth rates at different background station types
title_full_unstemmed Atmospheric aerosol growth rates at different background station types
title_short Atmospheric aerosol growth rates at different background station types
title_sort atmospheric aerosol growth rates at different background station types
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7943522/
https://www.ncbi.nlm.nih.gov/pubmed/33184792
http://dx.doi.org/10.1007/s11356-020-11424-5
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