Data di Pubblicazione:
2021
Citazione:
Improving data analysis for size-segregated atmospheric aerosol samples / F. Crova, V. Bernardoni, A.C. Forello, S. Valentini, G. Valli, R. Vecchi. - In: IL NUOVO CIMENTO C. - ISSN 2037-4909. - 44:1(2021 May 11), pp. 13.1-13.10. [10.1393/ncc/i2021-21013-x]
Abstract:
Size-segregated atmospheric aerosol samples collected with cascade
impactors can provide valuable information for the study of aerosol emission sources
and processes, especially when size distributions of chemical compounds are retrieved.
Nevertheless, such data are rare in the literature and, when available, they
are often presented as discrete size distributions since data analysis is not straightforward,
thus preventing to retrieve detailed modal structure information. For this
reason, all the main steps for a robust analysis of size-segregated data are illustrated
in this paper. The MICRON code was used to perform data inversion and a sensitivity
test on the main input parameters (weights, smoothing parameter, and derivative
order) was carried out to investigate how the output is affected by their variations.
A method to fit the inverted distribution with log-normal functions and to validate
the final output has been implemented and discussed through a case-study
Tipologia IRIS:
01 - Articolo su periodico
Elenco autori:
F. Crova, V. Bernardoni, A.C. Forello, S. Valentini, G. Valli, R. Vecchi
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