Articles | Volume 12, issue 5
Atmos. Meas. Tech., 12, 2933–2948, 2019
Atmos. Meas. Tech., 12, 2933–2948, 2019

Research article 28 May 2019

Research article | 28 May 2019

Strategies of method selection for fine-scale PM2.5 mapping in an intra-urban area using crowdsourced monitoring

Shan Xu et al.

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Cited articles

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., and Hamburg, S. P.: High-resolution air pollution mapping with google street view cars: exploiting big data, Environ. Sci. Technol., 51, 6999–7009,, 2017. 
Badura, M., Batog, P., Drzeniecka-Osiadacz, A., and Modzel, P.: Evaluation of low-cost sensors for ambient PM2.5 monitoring, J. Sensors, 2018, 5096540, 1–16,, 2018. 
Beverland, I. J., Cohen, G. R., Heal, M. R., Carder, M., Yap, C., Robertson, C., Hart, C. L., and Agius, R. M.: A comparison of short-term and long-term air pollution exposure associations with mortality in two cohorts in Scotland, Environ. Health Persp., 120, 1280–1285,, 2012. 
Choi, G., Bell, M. L., and Lee, J. T.: A study on modeling nitrogen dioxide concentrations using land-use regression and conventionally used exposure assessment methods, Environ. Res. Lett., 12, 044003,, 2017. 
Short summary
This study presents strategies of method selection for 100 m scale PM2.5 mapping using a crowdsourced sampling campaign. Interestingly, PM2.5 concentrations in micro-environments varied significantly in intra-urban areas. These local PM2.5 variations can be effectively revealed by crowdsourcing sampling rather than national air quality monitoring sites. The selection of models for fine-scale PM2.5 mapping should be adjusted with the changing sampling and pollution circumstances.