Wavelet based Assessment of Air Quality: A Case Study Sangwan Vinita1,*, Bhardwaj Rashmi2,3 1Research Scholar, USBAS, GGSIPU, Delhi, India 2Fellow of Institute of Mathematics & Applications (UK) 3Professor of Mathematics, Head, Non-Linear Dynamics Research Lab, University School of Basic and Applied Sciences (USBAS), Guru Gobind Singh Indraprastha University (GGSIPU), Dwarka, Delhi, India *Corresponding author E-mail: vini.sangwan14@gmail.com
Online Published on 16 December, 2023. Abstract (CO) Carbon monoxide ranks as the most prevalent among the criteria pollutants, particularly prevalent in regions marked by heavy traffic congestion. This elevated concentration of CO within the atmosphere carries adverse implications for human health, with metropolitan areas grappling significantly with this issue. Analyzing a specific dataset, consisting of daily average CO levels recorded by DPCC in Anand Vihar, Delhi, reveals that the trend component constitutes the paramount and slowest aspect of the signal. In the context of wavelet analysis, this corresponds to the largest scale value. To facilitate multiresolution analysis of CO data, the Symlet wavelet emerges as a valuable tool. Symlet wavelets are both orthogonal and compactly supportive, making them well-suited for this purpose. Utilizing Sym4 wavelet transforms, we have computed both the Approximation and Detailed coefficients. Top Keywords CO (Carbon Monoxide), Atmosphere, Wavelet Analysis, Multiresolution Analysis, Symlet Wavelet, Approximation and Detailed Coefficients. Top |