The identification and classicization of both
natural and anthropogenic atmospheric aerosols originating from different
region is becoming very useful when dealing with effect of air quality.
Different areas may encounter the problem of dust storm events which is
harmfully to the environment and human health. This thesis works focused mainly
on the evaluation of level 1.5 data from Sunphotometer remote sensing to
understand the micro-physical aerosol optical features which includes the time
series analysis, aerosol properties, absorption and its classification for the
hot dry season (December-February),
intermediate to heavier rainy season (March-May), the cooler dry season
(June-August) and short rains season (September-November).
The annual mean aerosol optical depth (AOD) and extinction Angstrom exponent
(EAE) were 0.27 ± 0.17 and 1.01 ± 0.33 respectively. It was observed that mixed
aerosols type was more dominance followed by the biomass burning (BB) and
urban-industrial (UI) aerosols. During hot dry season, the mean values of AOD were observed to be higher
than those recorded during rainy period. The volume size distribution graphs
clearly indicate a bimodal whereby fine mode was more prevailing in hot dry
season whereas coarse mode dominated in rainy season.
Cite this paper
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