Calculating AQI Using Secondary Pollutants for Smart Air Management System

  • Gautam Jyoti
  • Malsa NitimaEmail author
  • Singhal Vikas
  • Malsa Komal
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1016)


With the onslaught of the industrial revolution, the environment is suffering from severe pollution leading to major imbalances. Air Quality Dispersion Modelling can be done through one of the most efficient model “Eulerian Grid based model”. Various existing methods of prediction work on the basis of models resulting in satisfactory outcomes but with some certain loopholes. This project involves methods of predicting pollutants’ concentration and air quality using machine learning. The data of different sites are collected and the pollutants contributing maximum to the pollution is elucidated using machine learning based methods. Also in this project, a user-friendly, smart application system is developed which can be used to monitor the pollution produced at an individual level. The analysis of the feature stimulating the pollution level (to reach at a dangerous level) can be done with the help of machine learning tools. This paper involves calculating the amount of harmful pollutants released by any individual during their journey. Further solutions can be identified at government level to reduce these pollutants raising the pollution level.


Air pollutants AQI Eulerian grid based model Machine learning Smart air pollution system 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Gautam Jyoti
    • 1
  • Malsa Nitima
    • 1
    Email author
  • Singhal Vikas
    • 1
  • Malsa Komal
    • 1
  1. 1.JSS Academy of Technical EducationNoidaIndia

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