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Wavelet analysis of air pollution due to ground level nitrogen dioxide

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Author: 
Dr. Anil Kumar
Abstract: 

Nitrogen dioxide comes from vehicles, power plants, industrial emissions and off-road sources such as construction, lawn and gardening equipment. All of these sources burn fossil fuels. Unlike ozone and particle pollution, which can be of concern over large regions, NO2 levels are appreciably higher in close proximity to pollution sources. Health effects associated with NO2 are much less likely farther away from these pollution sources. Scientific evidence links short-term NO2 exposures, ranging from 30 minutes to 24 hours, with adverse respiratory effects including airway inflammation in healthy people and increased respiratory symptoms in people with asthma. The wavelet is a new analytical tool for chaotic data to the physics community. It allows detection and characterization of short-lived structures in data. Daubechies 4 wavelet is orthogonal and compactly supportive and therefore, it is useful for multiresolution analysis of average NO2 data. Approximation and Detailed coefficients provide information in average and difference form. Skewness and Kurtosis parameter describe lack of the symmetry of data.