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Correia, C., Santana, P., Martins, V., Mariano, P., Almeida, A. & Almeida, S. M. (2024). Advancing air quality monitoring: A low-cost sensor network in motion – Part I. Journal of Environmental Management. 360

C. Correia et al.,  "Advancing air quality monitoring: A low-cost sensor network in motion – Part I", in Journal of Environmental Management, vol. 360, 2024

@article{correia2024_1734847150922,
	author = "Correia, C. and Santana, P. and Martins, V. and Mariano, P. and Almeida, A. and Almeida, S. M.",
	title = "Advancing air quality monitoring: A low-cost sensor network in motion – Part I",
	journal = "Journal of Environmental Management",
	year = "2024",
	volume = "360",
	number = "",
	doi = "10.1016/j.jenvman.2024.121179",
	url = "https://www.sciencedirect.com/journal/journal-of-environmental-management"
}

TY  - JOUR
TI  - Advancing air quality monitoring: A low-cost sensor network in motion – Part I
T2  - Journal of Environmental Management
VL  - 360
AU  - Correia, C.
AU  - Santana, P.
AU  - Martins, V.
AU  - Mariano, P.
AU  - Almeida, A.
AU  - Almeida, S. M.
PY  - 2024
SN  - 0301-4797
DO  - 10.1016/j.jenvman.2024.121179
UR  - https://www.sciencedirect.com/journal/journal-of-environmental-management
AB  - In urban areas, high levels of air pollution pose significant risks to human health, emphasising the need for detailed air quality (AQ) monitoring. However, traditional AQ monitoring relies on the data from Reference Monitoring Stations, which are sparsely distributed and provide only hourly or daily data, failing to capture the spatial and temporal variability of air pollutant concentrations. Addressing this challenge, we introduce in this article the ExpoLIS system, an all-weather mobile AQ monitoring system that integrates various AQ low-cost sensors (LCSs), providing high spatio-temporal resolution data. This study demonstrates that the inclusion of an extended sampling device may mitigate the effect of the meteorological parameters and other disturbances on readings. At the same time, it did not reduce the quality of the data, both in static conditions and in motion, as we were able to maintain a certain level of agreement between the LCSs. In conclusion, the ExpoLIS system proves its versatility by enabling the collection of large quantities of accurate data, allowing a deeper understanding of the AQ dynamics in urban environments.
ER  -