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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

5 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojadaSHIRCON 2019 - 2019 IEEE Sciences and Humanities International Research Conference
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781728138183
DOI
EstadoPublicada - nov. 2019
Evento2019 IEEE Sciences and Humanities International Research Conference, SHIRCON 2019 - Lima, Perú
Duración: 13 nov. 201915 nov. 2019

Serie de la publicación

NombreSHIRCON 2019 - 2019 IEEE Sciences and Humanities International Research Conference

Conferencia

Conferencia2019 IEEE Sciences and Humanities International Research Conference, SHIRCON 2019
País/TerritorioPerú
CiudadLima
Período13/11/1915/11/19

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