Advertisement

IOT-Based Conceptual Framework for the Prevention of Acute Air Pollution Episodes for Reducing and Limiting Related Diseases in Egypt

  • Basmah El HaddadEmail author
  • Zainab Elsadi
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 921)

Abstract

Egypt is suffering from acute air pollution episodes as a result of Egyptian farmers’ continuous burning of rice straw after harvest. The Egyptian government issued strict legislations and took measurements to prevent the burning processes and counter its pollution. Still the problem persists constituting a major public health issue. The paper introduces a proposed Internet of Things “IOT-Based conceptual Framework for the prevention of acute air pollution episodes caused by rice straw burning which negatively impacts the environment and public health. The proposed IOT-Based conceptual framework considers environmental and related healthcare dimensions and parameters. It argues that IOT technologies can efficiently solve this problem by preventing and controlling the fire counts and monitoring the black cloud movement to react or pro-act in dealing with health consequences. The paper starts explaining IOT definition, architecture, benefits and challenges. Then explains in details the acute air pollution episode and the black cloud, its reasons and consequences. It presents a proposed IOT-Based solution scenario and its corresponding phases. Finally, it contributes with a proposed general IOT-Based conceptual Framework to prevent and control the acute air pollution episode and limit its health-related problems in Egypt, concentrating on the proposed IOT layers and components used.

Keywords

Internet of Things “IOT” IOT-Based framework Environmental acute air pollution Black Cloud Health IOT network Egypt 

References

  1. 1.
    Leitzell, K.: A black cloud over Cairo. Earthdata (2011). https://earthdata.nasa.gov/user-resources/sensing-our-planet/a-black-cloud-over-cairo
  2. 2.
    Ahram online: Toxic burning of rice straw in Egypt down 13–15% in 2017, 19 November 2017. http://english.ahram.org.eg/News/281781.aspx. Accessed 9 June 2018
  3. 3.
    Lelieveld, J.: The contribution of outdoor air pollution sources to premature mortality on a global scale. Nature 525, 367–371 (2015).  https://doi.org/10.1038/nature15371CrossRefGoogle Scholar
  4. 4.
    Abendroth, B., et al.: Cybersecurity Policy for the Internet of Things. Microsoft (2017)Google Scholar
  5. 5.
    Niewolny, D.: How the Internet of Things is Revolutionizing Healthcare. White Paper, Document Number: IOTREVHEALCARWP REV 0 (2013)Google Scholar
  6. 6.
    Mohammeda, Z.K.A., Ahmed, E.S.A.: Internet of things applications, challenges and related future technologies. WSN 67(2), 126–148 (2017). http://www.worldscientificnews.com/Google Scholar
  7. 7.
    Anbarasan, B.: The Internet of Things – The Thing to Watch. IJSRSET, Themed Section: Engineering and Technology, 3(3) (2017). Print ISSN 2395-1990, Online ISSN 2394-4099Google Scholar
  8. 8.
    Alvarez, M., et al.: Smart CEI Moncloa: an IOT-based platform for people flow and environmental monitoring on a smart university campus. Sensors (2017).  https://doi.org/10.3390/s17122856
  9. 9.
    Talari, S., et al.: A review of smart cities based on the internet of things concept. Energies 10, 421 (2017).  https://doi.org/10.3390/en10040421CrossRefGoogle Scholar
  10. 10.
    Middha, K.: Internet of things (IOT), architecture, challenges, applications: a review. Int. J. Adv. Comput. Sci. 9, 389–393 (2018). ISSN 0976‐5697CrossRefGoogle Scholar
  11. 11.
    Bilal, M.: A review of internet of things architecture, technologies and analysis smartphone-based attacks against 3D printers. Cornell University Library, arXiv.org arXiv:1708.04560 (2017)
  12. 12.
    El Askary, H.M., et al.: Analyzing Black Cloud Dynamics over Cairo, Nile Delta Region and Alexandria Using Aerosols and Water Vapor Data. IntechOpen (2011).  https://doi.org/10.5772/16727, https://www.intechopen.com/
  13. 13.
    Miles, T.: These are the world’s most polluted cities (2018). https://www.weforum.org/agenda/2018/05/these-are-the-worlds-most-polluted-cities
  14. 14.
    Mosleh, M., et al.: Application of remote sensors in mapping rice area and forecasting its production: a review. Sensors 15, 769–791 (2015).  https://doi.org/10.3390/s150100769CrossRefGoogle Scholar
  15. 15.
    Sharma, A.K., et al.: IOT enabled forest fire detection and online monitoring system. Int. J. Curr. Trends Eng. Res. (IJCTER) (2017). https://www.ijcter.com/published-papers/volume-3/issue-5/iot-enabled-forest-fire-detection-and-online-monitoring-system/
  16. 16.
    Al-Hamadi, H., Chen, I.R.: Trust-based decision making for environmental health community of interest IOT systems. In: IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (2016).  https://doi.org/10.1109/wimob.2016.7763201

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Institute of National PlanningCairoEgypt

Personalised recommendations