Introduction of fractal-like agglomerates to the algorithm for calculating surface area concentrations of PM1

Dorota Maria Bełkowska-Wołoczko

Abstract

A method of estimating, in urban indoor environments, human exposure to particulate matter with aerodynamic diameter of less than 1 μm (PM1, also referred in the literature as fine-mode or nanometer (nm) particulate matter) is proposed. It defines a measure of exposure as a surface area concentration of PM1 and the means of its calculation. The calculation algorithm was constructed using statistical parameters of particulate matter lognormal distribution, with the use of Hatch-Choate equations and the Maynard method, and extended by the accumulation stage physics of PM1 fraction, including Eggersdorfer’s and Pratsinis’s findings. Introduction of structure and dynamics of fractal-like agglomerates into the calculation algorithm significantly increased estimation accuracy of surface area concentrations, in relation to the standard Maynard method, which calculates surface area concentrations of only spherical particles.
Author Dorota Maria Bełkowska-Wołoczko (FEE / CEP)
Dorota Maria Bełkowska-Wołoczko,,
- Chair of Environmental Protection
Journal seriesAir Quality Atmosphere and Health, ISSN 1873-9318, (A 25 pkt)
Issue year2018
Pages1-7
Publication size in sheets0.5
Keywords in EnglishAir quality, Exposure assessment, Particulate matter, PM1, Surface area concentration, Fractal-like agglomerates, Maynard method generalization
ASJC Classification2307 Health, Toxicology and Mutagenesis; 2308 Management, Monitoring, Policy and Law; 1902 Atmospheric Science; 2310 Pollution
DOIDOI:10.1007/s11869-018-0653-6
URL https://link.springer.com/article/10.1007/s11869-018-0653-6
Languageen angielski
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Bełkowska-Wołoczko2018_Article_IntroductionOfFractal-likeAggl.pdf 804.85 KB
Score (nominal)25
ScoreMinisterial score = 25.0, 01-01-2019, ArticleFromJournal
Ministerial score (2013-2016) = 25.0, 01-01-2019, ArticleFromJournal
Publication indicators Scopus SNIP (Source Normalised Impact per Paper): 2016 = 1.35; WoS Impact Factor: 2017 = 2.662 (2) - 2017=3.004 (5)
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