Mining PM2.5 and traffic conditions for air quality

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

1 Citation (Scopus)

Abstract

Fine particle pollution is related to road traffic conditions. In this work, we analyze Particulate Matter with a diameter less than 2.5 micrometers, calledPM2.5, along with traffic conditions. This is done for multicity data to study the relationships in the context of environmental modeling. The goal behind this modeling is to support prediction of PM2.5 concentration and resulting air quality. We deploy data mining algorithms in association rules, clustering and classification to discover knowledge from the concerned data sets. The results are used to develop a prototype tool for the prediction of PM2.5 and hence air quality for public health and safety. This paper describes our approach and experiments with examples of PM2.5 prediction that would be helpful for decision support to potential users in a smart cities context. These users include city dwellers, environmental scientists and urban planners. Novel aspects of this work are multicity PM2.5 analysis by data mining and the resulting air quality prediction tool, the first of its kind, to the best of our knowledge.

Original languageEnglish
Title of host publication2016 7th International Conference on Information and Communication Systems, ICICS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages33-38
Number of pages6
ISBN (Electronic)9781467386142
DOIs
StatePublished - 20 May 2016
Event7th International Conference on Information and Communication Systems, ICICS 2016 - Irbid, Jordan
Duration: 5 Apr 20167 Apr 2016

Publication series

Name2016 7th International Conference on Information and Communication Systems, ICICS 2016

Other

Other7th International Conference on Information and Communication Systems, ICICS 2016
CountryJordan
CityIrbid
Period5/04/167/04/16

Fingerprint

Air quality
Data mining
Association rules
Public health
Particles (particulate matter)
Pollution
Experiments

Keywords

  • Air Pollution
  • Data Mining
  • Environmental Modeling
  • Fine Particles
  • Predictive Analysis
  • Public Health

Cite this

Du, X., & Varde, A. (2016). Mining PM2.5 and traffic conditions for air quality. In 2016 7th International Conference on Information and Communication Systems, ICICS 2016 (pp. 33-38). [7476082] (2016 7th International Conference on Information and Communication Systems, ICICS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IACS.2016.7476082
Du, Xu ; Varde, Aparna. / Mining PM2.5 and traffic conditions for air quality. 2016 7th International Conference on Information and Communication Systems, ICICS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 33-38 (2016 7th International Conference on Information and Communication Systems, ICICS 2016).
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Du, X & Varde, A 2016, Mining PM2.5 and traffic conditions for air quality. in 2016 7th International Conference on Information and Communication Systems, ICICS 2016., 7476082, 2016 7th International Conference on Information and Communication Systems, ICICS 2016, Institute of Electrical and Electronics Engineers Inc., pp. 33-38, 7th International Conference on Information and Communication Systems, ICICS 2016, Irbid, Jordan, 5/04/16. https://doi.org/10.1109/IACS.2016.7476082

Mining PM2.5 and traffic conditions for air quality. / Du, Xu; Varde, Aparna.

2016 7th International Conference on Information and Communication Systems, ICICS 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 33-38 7476082 (2016 7th International Conference on Information and Communication Systems, ICICS 2016).

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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Du X, Varde A. Mining PM2.5 and traffic conditions for air quality. In 2016 7th International Conference on Information and Communication Systems, ICICS 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 33-38. 7476082. (2016 7th International Conference on Information and Communication Systems, ICICS 2016). https://doi.org/10.1109/IACS.2016.7476082