Introduction of fractal-like agglomerates to the algorithm for calculating surface area concentrations of PM1
Dorota Maria Bełkowska-Wołoczko
AbstractA 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.
|Journal series||Air Quality Atmosphere and Health, ISSN 1873-9318, (A 25 pkt)|
|Publication size in sheets||0.5|
|Keywords in English||Air quality, Exposure assessment, Particulate matter, PM1, Surface area concentration, Fractal-like agglomerates, Maynard method generalization|
|ASJC Classification||; ; ;|
|Score|| = 25.0, 01-01-2019, ArticleFromJournal|
= 25.0, 01-01-2019, ArticleFromJournal
|Publication indicators||: 2016 = 1.35; : 2017 = 2.662 (2) - 2017=3.004 (5)|
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