This paper is published in Volume-3, Issue-4, 2017
Area
Environmental Physics
Author
Anil Kumar
Org/Univ
Hindu College, Moradabad, Uttar Pradesh, India
Pub. Date
08 July, 2017
Paper ID
V3I4-1172
Publisher
Keywords
Carbon Monoxide, Pollution, Wavelet, Symlet, Wavelet Transforms

Citationsacebook

IEEE
Anil Kumar. Wavelet Analysis of Air Pollution due to Carbon Monoxide, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Anil Kumar (2017). Wavelet Analysis of Air Pollution due to Carbon Monoxide. International Journal of Advance Research, Ideas and Innovations in Technology, 3(4) www.IJARIIT.com.

MLA
Anil Kumar. "Wavelet Analysis of Air Pollution due to Carbon Monoxide." International Journal of Advance Research, Ideas and Innovations in Technology 3.4 (2017). www.IJARIIT.com.

Abstract

Carbon monoxide is the most abundant of the criteria pollutants. High concentration of Carbon monoxide generally occurs in areas with heavy traffic congestion. There are adverse effects on Human health due to high concentration of CO in the atmosphere. The metropolitan cities are facing such type of problems a lot. In a given signal (data of average CO per day, observed by DPCC Anand Vihar, Delhi), trend is the most important part and also slowest part of a signal. In wavelet analysis terms this corresponds to the greatest scale value. Symlet wavelet is orthogonal and compactly supportive and therefore, it is useful for multiresolution analysis of a CO data. Approximation and Detailed coefficients have been determined using Sym4 wavelet transforms.
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