Towards a Framework Air Pollution Monitoring System Based on IoT Technology

  • Anass SouilkatEmail author
  • Khalid Mousaid
  • Nourdinne Abghour
  • Mohamed Rida
  • Amina Elomri
Conference paper
Part of the Learning and Analytics in Intelligent Systems book series (LAIS, volume 7)


One of the most discussed and concerning environmental issues nowadays is air pollution. Fast-growing population and urbanization have resulted in deteriorated air quality in urban areas. Furthermore, heavy transportation help contributes to poor air quality, which can cause damages to human health due to prolonged exposure and inhalation of pollutants. Therefore, there has been a growing interest in developing a system for monitoring air quality using big sensor data analytics. The systems for inferring air quality are proposed to help inform the public with real time air pollution data and guide them in making daily decisions affecting their respiratory health. This paper presents an IoT-Based framework for environmental pollution monitoring and control system that can detect and monitor the existence of harmful gases in the environment using Big Data analytics. Integration of IoT technology with big data analytics creates an autonomic air pollution monitoring system that has great potential to assist in controlling air quality.


Pollution Health risks Environmental factors Real-time monitoring Internet of Thing (IoT) Air quality City dynamics Human mobility 


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Anass Souilkat
    • 1
    Email author
  • Khalid Mousaid
    • 1
  • Nourdinne Abghour
    • 1
  • Mohamed Rida
    • 1
  • Amina Elomri
    • 1
  1. 1.LIMSAD Labs, Faculty of Sciences Ain ChockHassan II University of CasablancaCasablancaMorocco

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