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Time Series Analysis of Air Pollution in Bengaluru Using ARIMA Model

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Ambient Communications and Computer Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 696))

Abstract

Air pollution control measures in India are still in its infancy, while the country is developing at a faster rate. Development is known to affect the air quality of a place adversely. The key to manage the air quality of a place is proper planning, and for that, robust forecasting system based on continuous monitoring is required. Bengaluru is a city which has grown in size and population in the past decades. This rapid growth has affected its environmental quality. The present work deals with development of air quality prediction model based on Autoregressive Integrated Moving Average (ARIMA). For this, pollution data of NO2, PM10 and SO2 from January 2013 to March 2016, 14 pollution monitoring stations has been used. The results show that data which satisfies the stationary condition can be used as an accurate prediction model. NO2 residential and RSPM residential satisfy this condition.

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Acknowledgements

We thank Dr. Prashobhan Palakkeel, Assistant Professor, Amrita School of Business, Bengaluru, for the help he extended towards the application of statistical tools and Dr. Nagappa B, Scientific Officer, Karnataka State Pollution Control Board, for providing the air pollution data of Bengaluru.

Author information

Authors and Affiliations

  1. Department of Computer Science and Engineering, Amrita Vishwa Vidyapeetham, Bengaluru, India

    M. S. K. Abhilash & B. Sreevidya

  2. Department of Chemistry, Amrita Vishwa Vidyapeetham, Bengaluru, India

    Amrita Thakur

  3. Department of Mathematics, Amrita Vishwa Vidyapeetham, Bengaluru, India

    Deepa Gupta

Authors
  1. M. S. K. Abhilash
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  2. Amrita Thakur
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  3. Deepa Gupta
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  4. B. Sreevidya
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Corresponding author

Correspondence to Amrita Thakur .

Editor information

Editors and Affiliations

  1. University of Murcia, Murcia, Spain

    Gregorio Martinez Perez

  2. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  3. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Munesh C. Trivedi

  4. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

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Abhilash, M.S.K., Thakur, A., Gupta, D., Sreevidya, B. (2018). Time Series Analysis of Air Pollution in Bengaluru Using ARIMA Model. In: Perez, G., Tiwari, S., Trivedi, M., Mishra, K. (eds) Ambient Communications and Computer Systems. Advances in Intelligent Systems and Computing, vol 696. Springer, Singapore. https://doi.org/10.1007/978-981-10-7386-1_36

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  • DOI: https://doi.org/10.1007/978-981-10-7386-1_36

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7385-4

  • Online ISBN: 978-981-10-7386-1

  • eBook Packages: EngineeringEngineering (R0)

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