The application of Angstrom Exponent and measures of shapes in the classification of aerosols size distributions

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dc.contributor.authorAliyu, R.
dc.contributor.authorTijjani, B. I.
dc.contributor.authorGana, U. M.
dc.contributor.authorBala, S.
dc.contributor.authorSharafa, S. B.
dc.contributor.authorUba, S.
dc.contributor.authorAuwalu, S.
dc.contributor.authorYerima, S. U.
dc.contributor.authorAbdulkarim, U. Y.
dc.contributor.authorMuhammad, A.
dc.contributor.authorIdris, M.
dc.date.accessioned2026-04-27T13:08:45Z
dc.date.available2026-04-27T13:08:45Z
dc.date.issued2020
dc.descriptionIt is a modeling work
dc.description.abstractIn this work, Ansgrom exponent (α) and curvature (α2), skewness and kurtosis are used to give a clear particles size distribution. This is because some researchers reported the existence of negative curvatures for fine mode aerosols and near zero or positive curvatures are characteristic of size distributions with a dominant coarse-mode or bimodal distribution with coarse-mode aerosols having a significant relative magnitude. The aerosol types used in this work are Sahara and Urban aerosols that are extracted from Optical Properties of Aerosols and Clouds (OPAC4.0). From the results, it is discovered that a and skewness can be used to determine the main dominance particles size distribution in terms of number. The kurtosis can be used to determine the dominant particles in terms of volume. The α2 signifies whether the particle distribution is either monomodal or bimodal. It shows that when α2 is negative, it signifies monomodal distribution while when α2 is positive it signifies bimodal type of size distribution.
dc.description.sponsorshipNot Applicable
dc.identifier.issn2705 - 3512
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/123456789/17691
dc.language.isoen
dc.publisherFaculty of Sciences, Aliko Dangote University of Science and Technology, Wudil, Nigeria
dc.subjectAnsgrom exponent
dc.subjectcurvatures
dc.subjectskewness
dc.subjectkurtosis
dc.subjectsize distribution
dc.titleThe application of Angstrom Exponent and measures of shapes in the classification of aerosols size distributions
dc.typeArticle

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