Articles | Volume 16, issue 24
https://doi.org/10.5194/gmd-16-7411-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-16-7411-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
21 Dec 2023
Model description paper |
| 21 Dec 2023
| 21 Dec 2023
INCHEM-Py v1.2: a community box model for indoor air chemistry
Department of Environment and Geography, University of York, York, YO10 5NG, United Kingdom
Toby J. Carter
Department of Environment and Geography, University of York, York, YO10 5NG, United Kingdom
Helen L. Davies
Department of Environment and Geography, University of York, York, YO10 5NG, United Kingdom
Ellen Harding-Smith
Department of Environment and Geography, University of York, York, YO10 5NG, United Kingdom
Wolfson Atmospheric Chemistry Laboratories, University of York, York, YO10 5DD, United Kingdom
Elliott C. Crocker
Department of Chemistry, University of York, York, YO10 5DD, United Kingdom
Georgia Beel
Department of Environment and Geography, University of York, York, YO10 5NG, United Kingdom
UK Centre for Ecology and Hydrology, Edinburgh, EH26 0QB, United Kingdom
Zixu Wang
Department of Environment and Geography, University of York, York, YO10 5NG, United Kingdom
Nicola Carslaw
Department of Environment and Geography, University of York, York, YO10 5NG, United Kingdom
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Cited
15 citations as recorded by crossref.
- Balancing Discrete Indoor Air Quality Metrics: A Chemical Modeling Study of the Response of Indoor Air Quality to Airborne Pathogen Control Strategies T. Bertram et al. https://doi.org/10.1021/acsestair.5c00211
- Regulation and reformulation: how the EU Paints Directive shaped volatile organic compound emissions from UK decorative paints L. Alfanti et al. https://doi.org/10.1039/D5EA00134J
- The INGENIOUS project: towards understanding air pollution in homes N. Carslaw et al. https://doi.org/10.1039/D4EM00634H
- Integrating portable air cleaners to reduce mechanical ventilation energy under CO₂-based control: Twin-chamber experiments and multi-city analysis of energy–IAQ trade-offs Y. Li et al. https://doi.org/10.1016/j.enbenv.2026.02.001
- Indoor air quality during cooking and cleaning: a modelling case study in a residential kitchen evaluated with real-world reference instrument measurements Y. Su et al. https://doi.org/10.1039/D5EM00987A
- Kinetic multilayer models for surface chemistry in indoor environments P. Lakey & M. Shiraiwa https://doi.org/10.1039/D4EM00549J
- Assessment of methods for predicting physical and chemical properties of organic compounds T. Salthammer https://doi.org/10.1016/j.indenv.2024.100031
- Indoor cooking and cleaning as a source of outdoor air pollution in urban environments T. Carter et al. https://doi.org/10.1039/D3EM00512G
- A coupled fluids-chemistry model for pollutant dynamics indoors—Application to a kitchen scenario Z. Liu et al. https://doi.org/10.1063/5.0270416
- Chemical fingerprints of cooking emissions and their impact on indoor air quality A. Kumar et al. https://doi.org/10.1039/D5EM00385G
- Modelling indoor radical chemistry during the HOMEChem campaign F. Østerstrøm et al. https://doi.org/10.1039/D4EM00628C
- The Impact of UVC Light on Indoor Air Chemistry: A Modeling Study T. Carter et al. https://doi.org/10.1021/acs.est.5c07414
- Contextualizing Equivalent Clean Airflow Rates for Airborne Pathogens of Ionizers and Other Electronic Indoor Air Cleaners B. Cummings et al. https://doi.org/10.1021/acs.estlett.5c01201
- Integrated Modeling for Chemistry of Indoor Environments: Progress and Future Perspectives M. Shiraiwa et al. https://doi.org/10.1021/acsestair.5c00422
- The impact of surfaces on indoor air chemistry following cooking and cleaning E. Harding-Smith et al. https://doi.org/10.1039/D4EM00410H
15 citations as recorded by crossref.
- Balancing Discrete Indoor Air Quality Metrics: A Chemical Modeling Study of the Response of Indoor Air Quality to Airborne Pathogen Control Strategies T. Bertram et al. https://doi.org/10.1021/acsestair.5c00211
- Regulation and reformulation: how the EU Paints Directive shaped volatile organic compound emissions from UK decorative paints L. Alfanti et al. https://doi.org/10.1039/D5EA00134J
- The INGENIOUS project: towards understanding air pollution in homes N. Carslaw et al. https://doi.org/10.1039/D4EM00634H
- Integrating portable air cleaners to reduce mechanical ventilation energy under CO₂-based control: Twin-chamber experiments and multi-city analysis of energy–IAQ trade-offs Y. Li et al. https://doi.org/10.1016/j.enbenv.2026.02.001
- Indoor air quality during cooking and cleaning: a modelling case study in a residential kitchen evaluated with real-world reference instrument measurements Y. Su et al. https://doi.org/10.1039/D5EM00987A
- Kinetic multilayer models for surface chemistry in indoor environments P. Lakey & M. Shiraiwa https://doi.org/10.1039/D4EM00549J
- Assessment of methods for predicting physical and chemical properties of organic compounds T. Salthammer https://doi.org/10.1016/j.indenv.2024.100031
- Indoor cooking and cleaning as a source of outdoor air pollution in urban environments T. Carter et al. https://doi.org/10.1039/D3EM00512G
- A coupled fluids-chemistry model for pollutant dynamics indoors—Application to a kitchen scenario Z. Liu et al. https://doi.org/10.1063/5.0270416
- Chemical fingerprints of cooking emissions and their impact on indoor air quality A. Kumar et al. https://doi.org/10.1039/D5EM00385G
- Modelling indoor radical chemistry during the HOMEChem campaign F. Østerstrøm et al. https://doi.org/10.1039/D4EM00628C
- The Impact of UVC Light on Indoor Air Chemistry: A Modeling Study T. Carter et al. https://doi.org/10.1021/acs.est.5c07414
- Contextualizing Equivalent Clean Airflow Rates for Airborne Pathogens of Ionizers and Other Electronic Indoor Air Cleaners B. Cummings et al. https://doi.org/10.1021/acs.estlett.5c01201
- Integrated Modeling for Chemistry of Indoor Environments: Progress and Future Perspectives M. Shiraiwa et al. https://doi.org/10.1021/acsestair.5c00422
- The impact of surfaces on indoor air chemistry following cooking and cleaning E. Harding-Smith et al. https://doi.org/10.1039/D4EM00410H
Saved (final revised paper)
Latest update: 21 Jul 2026
Short summary
Exposure to air pollution is one of the greatest risks to human health, and it is indoors, where we spend upwards of 90 % of our time, that our exposure is greatest. The INdoor CHEMical model in Python (INCHEM-Py) is a new, community-led box model that tracks the evolution and fate of atmospheric chemical pollutants indoors. We have shown the processes simulated by INCHEM-Py, its ability to model experimental data and how it may be used to develop further understanding of indoor air chemistry.
Exposure to air pollution is one of the greatest risks to human health, and it is indoors, where...
