Skip to main content
SpringerLink
Log in

Green Map - An Application for Air Quality Monitoring in the City

  • Conference paper
  • First Online:
On the Move to Meaningful Internet Systems: OTM 2018 Workshops (OTM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11231))

  • 663 Accesses

Abstract

This paper presents an approach and its corresponding application to monitor the air quality from a city, to collect air quality data and use it to provide information to the public. This study focuses on detecting the small particulate matter (PM 2.5) in the air and it considers two approaches in order to determine the air pollution levels: the users’ opinion and a technical sensor.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://www.who.int/.

  2. 2.

    http://aircasting.org/.

  3. 3.

    http://airindex.eea.europa.eu/.

  4. 4.

    https://internetofthingsagenda.techtarget.com/definition/smart-city.

  5. 5.

    https://www.epa.gov/pm-pollution.

  6. 6.

    https://www.health.ny.gov/environmental/.

  7. 7.

    http://ec.europa.eu/environment/air/quality/standards.htm.

  8. 8.

    https://www.arduino.cc/.

  9. 9.

    https://en.wikipedia.org/wiki/ESP8266.

  10. 10.

    http://wiki.seeedstudio.com/Grove-Dust_Sensor/.

  11. 11.

    https://firebase.google.com/.

  12. 12.

    https://www.json.org/.

References

  1. Pitarma, R., et al.: Monitoring indoor air quality for enhanced occupational health. J. Med. Syst. 41, 23 (2017)

    Article  Google Scholar 

  2. Preethichandra, D.M.G.: Design of a smart indoor air quality monitoring wireless sensor network for assisted living. In: IEEE International Instrumentation and Measurement Technology Conference (2013)

    Google Scholar 

  3. Jindarat, S., Wuttidittachotti, P.: Smart farm monitoring using Raspberry Pi and Arduino. In: IEEE International Conference on Communication and Control Technology (2015)

    Google Scholar 

  4. Vadlamudi, M.K., Brindha, G.S.: Monitoring of green house gases using wireless sensor networks with Arduino board. Int. J. Sci. Eng. Technol. Res. 4(4), 741–745 (2015)

    Google Scholar 

  5. Chaudhry, V.: ARDUEMISSION: vehicular emissions monitoring. Int. J. Adv. Res. Eng. Appl. Sci. 3(7), 35–44 (2014)

    Google Scholar 

  6. Devarakonda, S., et al.: Real-time air quality monitoring through mobile sensing in metropolitan areas. In: Proceedings of ACM SIGKDD (2013)

    Google Scholar 

  7. Mendez, D., et al.: P-Sense: a participatory sensing system for air pollution monitoring and control. In: IEEE International Conference on Pervasive Computing and Communications Workshops (2011)

    Google Scholar 

  8. Husain, A.M., et al.: Air quality monitoring: the use of Arduino and Android. J. Mod. Sci. Technol. 4, 86–96 (2016)

    Google Scholar 

  9. Chaudhry, V.: Arduair: air quality monitoring. Int. J. Environ. Eng. Manag. 4(6), 639–646 (2013)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science Department, University Babes-Bolyai, Cluj-Napoca, Romania

    Diana Soponar & Ioana Ciuciu

Authors
  1. Diana Soponar
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ioana Ciuciu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ioana Ciuciu .

Editor information

Editors and Affiliations

  1. Trinity College Dublin, Dublin, Ireland

    Christophe Debruyne

  2. University of Lorraine, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  3. Luxembourg Institute of Science and Technology, Esch-sur-Alzette, Luxembourg

    Wided Guédria

  4. Maastricht University, Maastricht, The Netherlands

    Peter Bollen

  5. University Babes-Bolyai, Cluj-Napoca, Romania

    Ioana Ciuciu

  6. TU Graz, Graz, Austria

    Robert Meersman

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Soponar, D., Ciuciu, I. (2019). Green Map - An Application for Air Quality Monitoring in the City. In: Debruyne, C., Panetto, H., Guédria, W., Bollen, P., Ciuciu, I., Meersman, R. (eds) On the Move to Meaningful Internet Systems: OTM 2018 Workshops. OTM 2018. Lecture Notes in Computer Science(), vol 11231. Springer, Cham. https://doi.org/10.1007/978-3-030-11683-5_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-11683-5_27

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-11682-8

  • Online ISBN: 978-3-030-11683-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation