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Analyzing and forecasting ambient air quality of Chennai city in India.

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Regardless of the existing governmental and public preventive actions for surveillance and controlling the air quality in several regions of the Chennai city in India, the air quality does not meet the desired standard. In this regard, this study employs an ARMA/ARIMA modelling approach for forecasting Respirable Suspended Particulate Matter (RSPM), Sulphur dioxide (SO2) and Nitrogen dioxide (NO2) concentration for three most polluted sites in Chennai city. A total of nine univariate linear stochastic models have been developed, three for each of the stations which includes one for each of the specific pollutants in order to forecasts the concentration of each pollutant. The evaluation of the model statistics R2 values and index of agreement values evince that a significant level of real-time forecasting of the pollutants can be achieved by employing the developed ARMA/ARIMA models. Moreover, the comparisons of actual air pollutant concentration have been carried out with the permissible limit as prescribed by the National ambient air quality standards (NAAQS) of India for assessing the level of pollution of all three locations.

About the Authors

Imran Nadeem
B.S Abdur Rahman Crescent Institute of Science and Technology

Department of Mathematics

GST Road Vandalur 600048, Chennai

Ashiq M. Ilyas
B.S Abdur Rahman Crescent Institute of Science and Technology

Department of Mathematics

GST Road Vandalur 600048, Chennai

P.S. Sheik Uduman
B.S Abdur Rahman Crescent Institute of Science and Technology

Department of Mathematics

GST Road Vandalur 600048, Chennai


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For citation:

Nadeem I., Ilyas A.M., Uduman P.S. Analyzing and forecasting ambient air quality of Chennai city in India.. GEOGRAPHY, ENVIRONMENT, SUSTAINABILITY. 2020;13(3):13-21.

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ISSN 2071-9388 (Print)
ISSN 2542-1565 (Online)