Citizen science approach for spatiotemporal modelling of air pollution quality and traffic in Lima, Peru

R. M. Arias Veĺasquez, Y. L. Romero Ramos, J. Noel

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

5 Scopus citations

Abstract

Citizen and data science with the support of the Industrial Internet of Things (IIoT) present promising means to develop a dialogue between these themes air pollution, traffic assessment and new environmental commitment of the government for new laws, regulations, and other policy mechanisms associated with the stakeholders to improve outcomes for air quality management. In this research, a new proposal technology was implemented in Lima, Peru for air quality monitor sensors (AQMS). This solution has a new architecture for environmental analytics associated with a new assessment Spatio-Temporal modeling of particulate elements PM1, PM2.5 and PM10; humidity and the temperature associated with traffic.

Original languageEnglish
Title of host publicationSHIRCON 2019 - 2019 IEEE Sciences and Humanities International Research Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728138183
DOIs
StatePublished - Nov 2019
Event2019 IEEE Sciences and Humanities International Research Conference, SHIRCON 2019 - Lima, Peru
Duration: 13 Nov 201915 Nov 2019

Publication series

NameSHIRCON 2019 - 2019 IEEE Sciences and Humanities International Research Conference

Conference

Conference2019 IEEE Sciences and Humanities International Research Conference, SHIRCON 2019
Country/TerritoryPeru
CityLima
Period13/11/1915/11/19

Keywords

  • Air quality
  • IIoT
  • particulate matter
  • sensor
  • traffic

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