Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 17, issue 17
Articles | Volume 17, issue 17
https://doi.org/10.5194/amt-17-5129-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-17-5129-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 17
Research article
 | 
05 Sep 2024
Research article |  | 05 Sep 2024

Spatial analysis of PM2.5 using a concentration similarity index applied to air quality sensor networks

Rósín Byrne, John C. Wenger, and Stig Hellebust

Related authors

Two distinct ship emission profiles for organic-sulfate source apportionment of PM in sulfur emission control areas
Kirsten N. Fossum, Chunshui Lin, Niall O'Sullivan, Lu Lei, Stig Hellebust, Darius Ceburnis, Aqeel Afzal, Anja Tremper, David Green, Srishti Jain, Steigvilė Byčenkienė, Colin O'Dowd, John Wenger, and Jurgita Ovadnevaite
Atmos. Chem. Phys., 24, 10815–10831, https://doi.org/10.5194/acp-24-10815-2024,https://doi.org/10.5194/acp-24-10815-2024, 2024
Short summary
Identification of volatile organic compounds emitted by Sitka spruce and determination of their emission pathways and fluxes
Hayley Furnell, John Wenger, Astrid Wingler, Kieran N. Kilcawley, David T. Mannion, Iwona Skibinska, and Julien Kammer
EGUsphere, https://doi.org/10.5194/egusphere-2024-154,https://doi.org/10.5194/egusphere-2024-154, 2024
Preprint archived
Short summary
On the use of reference mass spectra for reducing uncertainty in source apportionment of solid-fuel burning in ambient organic aerosol
Chunshui Lin, Darius Ceburnis, Anna Trubetskaya, Wei Xu, William Smith, Stig Hellebust, John Wenger, Colin O'Dowd, and Jurgita Ovadnevaite
Atmos. Meas. Tech., 14, 6905–6916, https://doi.org/10.5194/amt-14-6905-2021,https://doi.org/10.5194/amt-14-6905-2021, 2021
Short summary

Cited articles

Bezanson, J., Edelman, A., Karpinski, S., and Shah, V. B.: Julia: A fresh approach to numerical computing, SIAM Rev., 59, 65–98, https://doi.org/10.1137/141000671, 2017. 
Byrne, R., Ryan, K., Venables, D. S., Wenger, J. C., and Hellebust, S.: Highly local sources and large spatial variations in PM2.5 across a city: evidence from a city-wide sensor network in Cork, Ireland, Environmental Science: Atmospheres, 3, 919–930, https://doi.org/10.1039/D2EA00177B, 2023. 
Caliñski, T. and Harabasz, J.: A Dendrite Method For Cluster Analysis, Commun. Stat., 3, 1–27, https://doi.org/10.1080/03610927408827101, 1974. 
Carslaw, D. C. and Ropkins, K.: openair – An R package for air quality data analysis, Environ. Model. Softw., 27–28, 52–61, https://doi.org/10.1016/j.envsoft.2011.09.008, 2012. 
Cesaroni, G., Badaloni, C., Gariazzo, C., Stafoggia, M., Sozzi, R., Davoli, M., and Forastiere, F.: Long-term exposure to urban air pollution and mortality in a cohort of more than a million adults in Rome, Environ. Health Persp., 121, 324–331, https://doi.org/10.1289/EHP.1205862, 2013. 
More articles (44)
Download
Short summary
This study presents the concentration similarity index (CSI) for a quantitative and robust comparison of PM2.5 measurements within air quality sensor networks. Developed and tested on two Irish sensor networks, the CSI revealed real spatial variations in PM2.5 and enables assessment of the representativeness of regulatory monitoring locations. It underscores the impact of solid fuel combustion on PM2.5 and highlights the importance of wintertime data for accurate exposure assessments.
Read more
Share