Analysis of particulate component PM10 over residential and commercial area in urban city of Chennai

In order to study the spatial and temporal material components of pollution data of a urban city of Chennai, particulate component PM10 is analysed using Hurst and Lyapunov exponents to identify the nature of trend and existence of chaos. PM10 particles are produced both naturally and by human activities. The rise of urban lifestyle has contributed to a greater extent the exponential increase in the pollution and hence PM10 concentration also. Hence there is a urgent need to study the particles. In this paper PM10 data recorded in two monitoring stations Anna Nagar and Kilpauk located in the residential and commercial area of Chennai during the year 2013 is chosen to be the study area. The Hurst exponent values obtained by using rescaled range analysis method are 0.6693 and 0.5768 for PM10 Anna Nagar and Kilpauk respectively. It is observed from Hurst values that the area under study is predictable and has a particular trend and not random as it confirms persistent behaviour. A chaotic indicator namely Maximum Lyapunov Exponent method is used in this research, to examine if there is any existence of chaotic behavior in PM10 time series data. The maximum Lyapunov exponent values obtained are 3.0820 for Anna Nagar and 2.9019 for Kilpauk area. The significant positive Lyapunov exponent obtained is an indication that the PM10 concentrations is very sensitive to initial conditions and there is the presence of chaotic behavior in the PM10 time series data.(c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Integration of Advanced Technologies for Industry 4.0 : Materials Science.