Wavelet Analysis of Atmospheric Aerosols as Ambient Air Pollutants

Abstract

Atmospheric aerosols, also known as atmospheric particulate matter or suspended particulate matter (SPM), are microscopic solid or liquid matter suspended in Earth's atmosphere that are transported and dispersed in the atmosphere. Study of atmospheric aerosols as ambient air pollutants has attracted the great interest of scientists due to the effect on human health and its major role in climate change. Reduced lung function, development in respiratory diseases and premature death are the effect of long-term exposure to ambient air pollution. The atmospheric aerosols affect the climate of the earth by changing the amount of incoming solar radiation and outgoing terrestrial long wave radiation retained in the earth's system and their climate effects are the biggest source of uncertainty in future climate predictions. Wavelet transforms provide excellent analysis of non-stationary time series and extracts important hidden information from a signal or data set. For the data set of SPM and RSPM of Moradabad for given time interval, Haar wavelet transform of Level1 is applied. Skewness and Kurtosis parameter describes the lack of the symmetry of data and correlation coefficient between SPM and RSPM describes the linear relationship between them.