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Autoregressive integrated moving average time series model for forecasting air pollution in Nanded city, Maharashtra, India

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Abstract

The present study assesses the time series data of air pollution in Nanded city since 2011 and is collected from source of Central Pollution Control Board, Government of India. In this study, autoregressive integrated moving average (ARIMA) time series forecasting approach is used for prediction of air pollution in Nanded city with two main locations. The main aim of this study is to forecast the air pollution for next 5 years by using ARIMA model with the air pollutants NOx, SO2, RSPM and SPM. The time series analysis is the predictive analytic technique gives us better results and this analysis is performed through free and open source software R. The prediction results obtained through ARIMA model highlight the increasing level of air pollution in Nanded city. In future, this study may be helpful to maintain the air pollutant within the permissible limit and in the development of smart city.

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Authors and Affiliations

  1. School of Computational Sciences, Swami Ramanand Teerth Marathwada University, Nanded, Maharashtra, India

    Govind Eknath Kulkarni, Nilesh Kailas Deshmukh & Parag Upendra Bhalchandra

  2. School of Mathematical Sciences, Swami Ramanand Teerth Marathwada University, Nanded, Maharashtra, India

    Aniket Avinash Muley

Authors
  1. Govind Eknath Kulkarni
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  2. Aniket Avinash Muley
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  3. Nilesh Kailas Deshmukh
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  4. Parag Upendra Bhalchandra
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Corresponding authors

Correspondence to Govind Eknath Kulkarni or Aniket Avinash Muley.

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Kulkarni, G.E., Muley, A.A., Deshmukh, N.K. et al. Autoregressive integrated moving average time series model for forecasting air pollution in Nanded city, Maharashtra, India. Model. Earth Syst. Environ. 4, 1435–1444 (2018). https://doi.org/10.1007/s40808-018-0493-2

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  • DOI: https://doi.org/10.1007/s40808-018-0493-2

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