Application of Poisson Hidden Markov Model to Predict Number of PM2.5 Exceedance Days in Tehran During 2016-2017

• Main Authors: Fatemeh Sarvi (Author), Azam Nadali (Author), Mahmoud Khodadost (Author), Melika Kharghani Moghaddam (Author), Majid Sadeghifar (Author)
• Format: Book
• Published: Hamadan University of Medical Sciences, 2017-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

PM2.5 is an important indicator of air pollution. This pollutant can result in lung and respiratory problems in people. The aim of the present study was to predict number of PM2.5 exceedance days using Hidden Markov Model considering Poisson distribution as an indicator for people susceptible to tha...