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International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35

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Markov chains model applied to the analysis of air quality

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International Journal of Latest Research in Science and Technology Vol.10 Issue 1, pp 1-5,Year 2021

MARKOV CHAINS MODEL APPLIED TO THE ANALYSIS OF AIR QUALITY

Brenda García Jarquín*, Mario Aguilar Fernández, Imelda Calderón Vidales, Jezzica Jiovanna Zamudio

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Received : 28 December 2020; Accepted : 10 January 2021 ; Published : 20 January 2021

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Abstract

Urban areas are characterized by high rates of population, high density of motor vehicles, industries, services, and commercial activities whose emissions alter air quality. In turn, the urban complexity presents challenges for the environmental problems so effectively manage environmental risks depends on the information available. Predict and prevent contaminant levels becomes necessary to reduce the risk to health and improve the environment through control strategies and emission reduction. The objective was to apply the analysis of Markov chains to analyze the behavior of pollutants in Mexico City. The study considered five criteria pollutants: CO2, NOx, SO2, O3, PM10. The values used to define the criteria to the analysis corresponded to the values defined by the metropolitan index of air quality in environmental law in Mexico from which five possible states from good to extremely bad are defined. The results obtained shows that: State changes have nonlinear behavior over time and even though the contaminant concentration increases exponentially, the probability of air quality worses is very low because it is kept in a "regular" state.

Key Words   
Air quality, Mexico City, Markov chains

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To cite this article

Brenda García Jarquín*, Mario Aguilar Fernández, Imelda Calderón Vidales, Jezzica Jiovanna Zamudio , " Markov Chains Model Applied To The Analysis Of Air Quality ", International Journal of Latest Research in Science and Technology . Vol. 10, Issue 1, pp 1-5 , 2021

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