Articles | Volume 19, issue 13
https://doi.org/10.5194/acp-19-8363-2019
https://doi.org/10.5194/acp-19-8363-2019
Research article
 | 
02 Jul 2019
Research article |  | 02 Jul 2019

Contributions to local- and regional-scale formaldehyde concentrations

Lucas A. J. Bastien, Nancy J. Brown, and Robert A. Harley

Related authors

Network design for quantifying urban CO2 emissions: assessing trade-offs between precision and network density
Alexander J. Turner, Alexis A. Shusterman, Brian C. McDonald, Virginia Teige, Robert A. Harley, and Ronald C. Cohen
Atmos. Chem. Phys., 16, 13465–13475, https://doi.org/10.5194/acp-16-13465-2016,https://doi.org/10.5194/acp-16-13465-2016, 2016
Short summary
Characterization of particulate matter emissions from on-road gasoline and diesel vehicles using a soot particle aerosol mass spectrometer
T. R. Dallmann, T. B. Onasch, T. W. Kirchstetter, D. R. Worton, E. C. Fortner, S. C. Herndon, E. C. Wood, J. P. Franklin, D. R. Worsnop, A. H. Goldstein, and R. A. Harley
Atmos. Chem. Phys., 14, 7585–7599, https://doi.org/10.5194/acp-14-7585-2014,https://doi.org/10.5194/acp-14-7585-2014, 2014

Related subject area

Subject: Gases | Research Activity: Atmospheric Modelling and Data Analysis | Altitude Range: Troposphere | Science Focus: Chemistry (chemical composition and reactions)
Weekly derived top-down volatile-organic-compound fluxes over Europe from TROPOMI HCHO data from 2018 to 2021
Glenn-Michael Oomen, Jean-François Müller, Trissevgeni Stavrakou, Isabelle De Smedt, Thomas Blumenstock, Rigel Kivi, Maria Makarova, Mathias Palm, Amelie Röhling, Yao Té, Corinne Vigouroux, Martina M. Friedrich, Udo Frieß, François Hendrick, Alexis Merlaud, Ankie Piters, Andreas Richter, Michel Van Roozendael, and Thomas Wagner
Atmos. Chem. Phys., 24, 449–474, https://doi.org/10.5194/acp-24-449-2024,https://doi.org/10.5194/acp-24-449-2024, 2024
Short summary
Current status of model predictions of volatile organic compounds and impacts on surface ozone predictions during summer in China
Yongliang She, Jingyi Li, Xiaopu Lyu, Hai Guo, Momei Qin, Xiaodong Xie, Kangjia Gong, Fei Ye, Jianjiong Mao, Lin Huang, and Jianlin Hu
Atmos. Chem. Phys., 24, 219–233, https://doi.org/10.5194/acp-24-219-2024,https://doi.org/10.5194/acp-24-219-2024, 2024
Short summary
Utility of Geostationary Lightning Mapper-derived lightning NO emission estimates in air quality modeling studies
Peiyang Cheng, Arastoo Pour-Biazar, Yuling Wu, Shi Kuang, Richard T. McNider, and William J. Koshak
Atmos. Chem. Phys., 24, 41–63, https://doi.org/10.5194/acp-24-41-2024,https://doi.org/10.5194/acp-24-41-2024, 2024
Short summary
The suitability of atmospheric oxygen measurements to constrain western European fossil-fuel CO2 emissions and their trends
Christian Rödenbeck, Karina E. Adcock, Markus Eritt, Maksym Gachkivskyi, Christoph Gerbig, Samuel Hammer, Armin Jordan, Ralph F. Keeling, Ingeborg Levin, Fabian Maier, Andrew C. Manning, Heiko Moossen, Saqr Munassar, Penelope A. Pickers, Michael Rothe, Yasunori Tohjima, and Sönke Zaehle
Atmos. Chem. Phys., 23, 15767–15782, https://doi.org/10.5194/acp-23-15767-2023,https://doi.org/10.5194/acp-23-15767-2023, 2023
Short summary
Future tropospheric ozone budget and distribution over east Asia under a net-zero scenario
Xuewei Hou, Oliver Wild, Bin Zhu, and James Lee
Atmos. Chem. Phys., 23, 15395–15411, https://doi.org/10.5194/acp-23-15395-2023,https://doi.org/10.5194/acp-23-15395-2023, 2023
Short summary

Cited articles

BAAQMD (Bay Area Air Quality Management District): Toxics Modeling to Support the Community Air Risk Evaluation (CARE) Program, Research and Modeling Section Publication No. 200906-002-TX, San Francisco, CA, June 2009. a, b
BAAQMD (Bay Area Air Quality Management District): Improving Air Quality & Health in Bay Area Communities, Community Air Risk Evaluation Program Retrospective & Path Forward (2004–2013), San Francisco, CA, April 2014. a
Ban-Weiss, G. A., McLaughlin, J. P., Harley, R. A., Kean, A. J., Grosjean, E., and Grosjean, D.: Carbonyl and Nitrogen Dioxide Emissions From Gasoline-and Diesel-Powered Motor Vehicles, Environ. Sci. Technol., 42, 3944–3950, https://doi.org/10.1021/es8002487, 2008. a
Bastien, L. A. J., McDonald, B. C., Brown, N. J., and Harley, R. A.: High-Resolution Mapping of Sources Contributing to Urban Air Pollution Using Adjoint Sensitivity Analysis: Benzene and Diesel Black Carbon, Environ. Sci. Technol., 49, 7276–7284, https://doi.org/10.1021/acs.est.5b00686, 2015. a, b, c, d, e, f, g, h
Byun, D. and Schere, K. L.: Review of the Governing Equations, Computational Algorithms, and Other Components of the Models-3 Community Multiscale Air Quality (CMAQ) Modeling System, Appl. Mech. Rev., 59, 51–77, https://doi.org/10.1115/1.2128636, 2006. a
Download
Short summary
This work uses a computer model to identify emission sources and chemical reactions that influence ambient formaldehyde (a carcinogenic pollutant) in the San Francisco Bay Area. Results suggest that for some locations, in order to reduce summer-season formaldehyde concentrations, controlling emissions of other pollutants can be as efficient as controlling emissions of formaldehyde. In winter, however, it is more efficient to control emissions of formaldehyde than emissions of other species.
Altmetrics
Final-revised paper
Preprint