Articles | Volume 13, issue 10
Research article
09 Oct 2020
Research article |  | 09 Oct 2020

Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications

Priyanka deSouza, Ralph A. Kahn, James A. Limbacher, Eloise A. Marais, Fábio Duarte, and Carlo Ratti

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Cited articles

Al-Saadi, J., Szykman, J., Pierce, R. B., Kittaka, C., Neil, D., Chu, D. A., Remer, L., Gumley, L., Prins, E., Weinstock, L., MacDonald, C., Wayland, R., Dimmick, F., and Fishman, J.: Improving National Air Quality Forecasts with Satellite Aerosol Observations, B. Am. Meteorol. Soc., 86, 1249–1262,, 2005. 
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Carotenuto, F., Brilli, L., Gioli, B., Gualtieri, G., Vagnoli, C., Mazzola, M., Viola, A. P., Vitale, V., Severi, M., Traversi, R., and Zaldei, A.: Long-Term Performance Assessment of Low-Cost Atmospheric Sensors in the Arctic Environment, Sensors, 20, 1919,, 2020. 
Cavaliere, A., Carotenuto, F., Di Gennaro, F., Gioli, B., Gualtieri, G., Martelli, F., Matese, A., Toscano, P., Vagnoli, C., and Zaldei, A.: Development of Low-Cost Air Quality Stations for Next Generation Monitoring Networks: Calibration and Validation of PM2.5 and PM10 Sensors, Sensors, 18, 2843,, 2018. 
deSouza, P.: Air pollution in Kenya: a review, Air Qual. Atmos. Hlth., 15, 1–9,, 2020. 
Short summary
This paper presents a novel method to constrain the size distribution derived from low-cost optical particle counters (OPCs) using satellite data to develop higher-quality particulate matter (PM) estimates. Such estimates can enable cities that do not have access to expensive reference air quality monitors, especially those in the global south, to develop effective air quality management plans.