Markov Chain Model for Observing Changing Behaviours of Air Quality Index

Sumithra P^1, , Loganathan A¹ and Deneshkumar V¹

¹Department of Statistics, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli-627012, India

Cite this paper:
Sumithra P, Loganathan A and Deneshkumar V. Markov Chain Model for Observing Changing Behaviours of Air Quality Index. Applied Ecology and Environmental Sciences. 2022; 10(8):498-502. doi: 10.12691/aees-10-8-1

Abstract

The rising industrial revolution, urbanization and increasing human activities are the some of the primary reasons for increasing air pollution. Increasing air pollution adversely affects human health, agricultural production, wild animals. It is also an underlying cause for climate changes and these ultimately culminate in economic losses. Analysis of air quality index (AQI) can help to make recommendations to restrict outdoor air exposure and plan for demand on the healthcare system during periods of higher pollution. This study examines the stochastic behaviour of the AQI in Chennai city. Probabilities have been computed transitions among various states of AQI. Furthermore, steady state probability and mean first passage time have been evaluated.

Keywords:
Markov Chain mean first passage time transition probability matrix AQI

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