1School of Basic and Applied Science, Guru Gobind Singh Indraprastha University, Dwarka, Delhi, India
2School of Vocational Studies and Applied Sciences, Gautam Budh University, Noida, Uttar Pradesh, India
3School of Basic and Applied Science, Guru Gobind Singh Indraprastha University, Dwarka, Delhi, India
*Corresponding author's E-mail address: rashmib22@gmail.com
This paper deals with the estimation of Hurst exponent, fractal dimension and predictability index using wavelet method for air pollutant carbon monooxide CO collected from different monitoring stations located in Delhi, i.e., Delhi College of Engineering (Industrial area), ITO-Crossing (commercial area), and Siri Fort (residential area) and by mobile van which can be treated as mix location of Delhi used for the period of last four years. Hurst exponent and predictability index for CO at all locations lie between 0 to 0.5, confirms the anti-persistent behaviour. Fractal dimensions for CO at all locations lie between 1.5 and 2, which also confirms anti-persistent behaviour. Thus the behaviour of CO follows Brownian motion and is unpredictable
