Air Quality Estimation Using Nonhomogeneous Markov Chains: A Case Study Comparing Two Rules Applied to Mexico City Data

作     者：Eliane R. Rodrigues Juan A. Cruz-Juárez Hortensia J. Reyes-Cervantes Guadalupe Tzintzun Eliane R. Rodrigues;Juan A. Cruz-Juárez;Hortensia J. Reyes-Cervantes;Guadalupe Tzintzun

作者机构：Instituto de Matemáticas Universidad Nacional Autónoma de México Mexico City Mexico Facultad de Ciencias Fsico-Matemáticas Benemérita Universidad Autónoma de Puebla Puebla Mexico Instituto Nacional de Ecologa y Cambio Climático Secretara de Medio Ambiente y Recursos Naturales Mexico City Mexico 

出 版 物：《Journal of Environmental Protection》 (环境保护（英文）)

年 卷 期：2023年第14卷第7期

页      面：561-582页

学科分类：0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 

主　　题：Air Quality Index Air Pollution Mexico City Nonhomogeneous Markov Chains Bayesian Inference 

摘      要：A nonhomogeneous Markov chain is applied to the study of the air quality classification in Mexico City when the so-called criterion pollutants are used. We consider the indices associated with air quality using two regulations where different ways of classification are taken into account. Parameters of the model are the initial and transition probabilities of the chain. They are estimated under the Bayesian point of view through samples generated directly from the corresponding posterior distributions. Using the estimated parameters, the probability of having an air quality index in a given hour of the day is obtained.