The application of Angstrom Exponent and measures of shapes in the classifications of aerosol size distributions
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Date
2020
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FACULTY OF SCIENCE, KANO UNIVERSITY OF SCIENCE AND TECHNOLOGY, WUDIL
Abstract
In this work, Ansgrom exponent (a) and curvature (a2), 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 distributionin terms of number. The
kurtosis can be used to determine the dominant particles in terms of volume. The a2 signifies
whether the particle distribution is either monomodal or bimodal. It shows that when a2 is
negative, it signifies monomodal distribution while when a2 is positive it signifies bimodal
type of size distribution.
Description
Keywords
Ansgrom exponent, curvatures, skewness, kurtosis, size distribution