Özet:

In this article, basic air pollutant parameters such as PM10, SO2, CO, NO2, and O3 at µg m-3 level in Nevşehir Province were monitored between 01.08.2019-19.11.2020 and Air Quality Index (AQI) values were calculated depending on these parameters. Nevşehir Province AQI values vary between good and sensitive degrees. While monitoring data were used in the training of the models, the data calculated between 20.11.2020-20.12.2020 and not used in the training of the models were also used in the checking. In this study, Nevşehir Province AQI values were successfully predicted using small-scale and discrete-time Markov Chain Models at 0.887 and 0.982, respectively. The discrete-time Markov Chain Model, which has less variable status depending on the air quality of Nevşehir Province, has been found to be more successful in predicting the AQI data used both in training and checking. As a result, it has been revealed that Markov Chain models can be used as a successful method to predict different weather conditions.

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