Articles | Volume 22, issue 3
Research article
11 Feb 2022
Research article |  | 11 Feb 2022

Source-resolved variability of fine particulate matter and human exposure in an urban area

Pablo Garcia Rivera, Brian T. Dinkelacker, Ioannis Kioutsioukis, Peter J. Adams, and Spyros N. Pandis

Related authors

Evaluation of high-resolution predictions of fine particulate matter and its composition in an urban area using PMCAMx-v2.0
Brian T. Dinkelacker, Pablo Garcia Rivera, Ioannis Kioutsioukis, Peter J. Adams, and Spyros N. Pandis
Geosci. Model Dev., 15, 8899–8912,,, 2022
Short summary
Predicted and Observed Changes in Summertime Biogenic and Total Organic Aerosol in the Southeast United States from 2001 to 2010
Brian T. Dinkelacker, Pablo Garcia Rivera, Ksakousti Skyllakou, Peter J. Adams, and Spyros N. Pandis
Atmos. Chem. Phys. Discuss.,,, 2022
Revised manuscript not accepted
Short summary
Changes in PM2.5 concentrations and their sources in the US from 1990 to 2010
Ksakousti Skyllakou, Pablo Garcia Rivera, Brian Dinkelacker, Eleni Karnezi, Ioannis Kioutsioukis, Carlos Hernandez, Peter J. Adams, and Spyros N. Pandis
Atmos. Chem. Phys., 21, 17115–17132,,, 2021
Short summary

Related subject area

Subject: Aerosols | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
pH regulates the formation of organosulfates and inorganic sulfate from organic peroxide reaction with dissolved SO2 in aquatic media
Lin Du, Xiaofan Lv, Makroni Lily, Kun Li, and Narcisse Tsona Tchinda
Atmos. Chem. Phys., 24, 1841–1853,,, 2024
Short summary
Technical note: Accurate, reliable, and high-resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using a novel statistical post-processing method
Angelo Riccio and Elena Chianese
Atmos. Chem. Phys., 24, 1673–1689,,, 2024
Short summary
Contribution of intermediate-volatility organic compounds from on-road transport to secondary organic aerosol levels in Europe
Stella E. I. Manavi and Spyros N. Pandis
Atmos. Chem. Phys., 24, 891–909,,, 2024
Short summary
Development of an integrated model framework for multi-air-pollutant exposure assessments in high-density cities
Zhiyuan Li, Kin-Fai Ho, Harry Fung Lee, and Steve Hung Lam Yim
Atmos. Chem. Phys., 24, 649–661,,, 2024
Short summary
CAMx–UNIPAR simulation of secondary organic aerosol mass formed from multiphase reactions of hydrocarbons under the Central Valley urban atmospheres of California
Yujin Jo, Myoseon Jang, Sanghee Han, Azad Madhu, Bonyoung Koo, Yiqin Jia, Zechen Yu, Soontae Kim, and Jinsoo Park
Atmos. Chem. Phys., 24, 487–508,,, 2024
Short summary

Cited articles

Anand, S.: The concern for equity in health, J. Epidemiol. Commun. H., 56, 485–487, 2002. 
Arunachalam, S., Holland, A., Do, B., and Abraczinskas, M.: A quantitative assessment of the influence of grid resolution on predictions of future-year air quality in North Carolina, USA, Atmos. Environ., 40, 5010–5026, 2006. 
Carter, W. P. L.: Documentation of the SAPRC-99 chemical mechanism for VOC reactivity assessment, Final Report to California Air Resources Board Contract 92-329 and Contract 95-308, Air Pollution Research Center and College of Engineering Center for Environmental Research and Technology, University of California Riverside, California, 2000. 
Day, M., Pouliot, G., Hunt, S., Baker, K. R., Beardsley, M., Frost, G., Mobley, D., Simon, H., Henderson, B., Yelverton, T., and Rao, V.: Reflecting on progress since the 2005 NARSTO emissions inventory report, J. Air Waste Manage., 69, 1025–1050, 2019. 
Dinkelacker, B. T., Garcia Rivera, P., Kioutsioukis, I., Adams, P., and Pandis, S. N.: Source Code for PMCAMx-v2.0: High-resolution modeling of fine particulate matter in an urban area using PMCAMx-v2.0, Zenodo [code],, 2021. 
Short summary
The contribution of various pollution sources to the variability of fine PM in an urban area was examined using as an example the city of Pittsburgh. Biomass burning aerosol shows the largest variability during the winter with local maxima within the city and in the suburbs. During both periods the largest contributing source to the average PM2.5 is particles from outside the modeling domain. The average population-weighted PM2.5 concentration does not change significantly with resolution.
Final-revised paper