Artigo em revista científica Q1
A low-cost sensor system installed in buses to monitor air quality in cities
Carolina Correia (Correia, C.); Vania Martins (Martins, V.); Bernardo Matroca (Matroca, B.); Pedro Santana (Santana, P.); Pedro Mariano (Mariano, P.); Alexandre Almeida (Almeida, A.); Susana Marta Almeida (Almeida, S.M.); et al.
Título Revista
International Journal of Environmental Research and Public Health
Ano (publicação definitiva)
2023
Língua
Inglês
País
Suíça
Mais Informação
Web of Science®

N.º de citações: 5

(Última verificação: 2024-10-06 19:50)

Ver o registo na Web of Science®

Scopus

N.º de citações: 5

(Última verificação: 2024-09-30 09:35)

Ver o registo na Scopus


: 1.5
Google Scholar

N.º de citações: 7

(Última verificação: 2024-10-06 21:28)

Ver o registo no Google Scholar

Abstract/Resumo
Air pollution is an important source of morbidity and mortality. It is essential to understand to what levels of air pollution citizens are exposed, especially in urban areas. Low-cost sensors are an easy-to-use option to obtain real-time air quality (AQ) data, provided that they go through specific quality control procedures. This paper evaluates the reliability of the ExpoLIS system. This system is composed of sensor nodes installed in buses, and a Health Optimal Routing Service App to inform the commuters about their exposure, dose, and the transport’s emissions. A sensor node, including a particulate matter (PM) sensor (Alphasense OPC-N3), was evaluated in laboratory conditions and at an AQ monitoring station. In laboratory conditions (approximately constant temperature and humidity conditions), the PM sensor obtained excellent correlations (R2≈1) against the reference equipment. At the monitoring station, the OPC-N3 showed considerable data dispersion. After several corrections based on the k-Köhler theory and Multiple Regression Analysis, the deviation was reduced and the correlation with the reference improved. Finally, the ExpoLIS system was installed, leading to the production of AQ maps with high spatial and temporal resolution, and to the demonstration of the Health Optimal Routing Service App as a valuable tool.
Agradecimentos/Acknowledgements
--
Palavras-chave
Air quality,Low-cost sensors,Particulate matter,Mobile experiments,Calibration
  • Ciências da Terra e do Ambiente - Ciências Naturais
  • Ciências Biológicas - Ciências Naturais
  • Ciências da Saúde - Ciências Médicas
Registos de financiamentos
Referência de financiamento Entidade Financiadora
LISBOA-01-0145-FEDER-032088 Comissão Europeia
UI/BD/150996/2021 Fundação para a Ciência e a Tecnologia
CEECIND/04228/2018 Fundação para a Ciência e a Tecnologia
UIDP/04349/2020 Fundação para a Ciência e a Tecnologia
UIDB/04349/2020 Fundação para a Ciência e a Tecnologia
PTDC/EAM-AMB/32088/2017 Fundação para a Ciência e a Tecnologia
Projetos Relacionados