Articles | Volume 21, issue 9
Atmos. Chem. Phys., 21, 7199–7215, 2021

Special issue: Air Quality Research at Street-Level (ACP/GMD inter-journal...

Atmos. Chem. Phys., 21, 7199–7215, 2021

Research article 11 May 2021

Research article | 11 May 2021

Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: impacts of COVID-19 pandemic lockdown

Shibao Wang et al.

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Cited articles

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Apte, J. S., Messier, K. P., Gani, S., Brauer, M., Kirchstetter, T. W., Lunden, M. M., Marshall, J. D., Portier, C. J., Vermeulen, R. C. H., and Hamburg, S. P.: High-resolution air pollution mapping with google street view cars: exploiting big data, Environ. Sci. Technol., 51, 6999–7008,, 2017. 
Awang, N. R., Ramli, N. A., Yahaya, A. S., and Elbayoumi, M.: High nighttime ground-level ozone concentrations in Kemaman: NO and NO2 concentrations attributions, Aerosol Air Qual. Res., 15, 1357–1366,, 2015. 
Bao, R. and Zhang, A.: Does lockdown reduce air pollution? Evidence from 44 cities in northern China, Sci. Total Environ., 139052,, 2020. 
Short summary
Mobile monitoring with low-cost sensors is a promising approach to garner high-spatial-resolution observations representative of the community scale. We develop a grid analysis method to obtain 50 m resolution maps of major air pollutants (CO, NO2, and O3) based on GIS technology. Our results demonstrate the sensing power of mobile monitoring for urban air pollution, which provides detailed information for source attribution and accurate traceability at the urban micro-scale.
Final-revised paper