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
11 citations as recorded by crossref.
- Indoor cooking and cleaning as a source of outdoor air pollution in urban environments T. Carter et al. 10.1039/D3EM00512G
- A coupled fluids-chemistry model for pollutant dynamics indoors—Application to a kitchen scenario Z. Liu et al. 10.1063/5.0270416
- Modelling indoor radical chemistry during the HOMEChem campaign F. Østerstrøm et al. 10.1039/D4EM00628C
- The Impact of UVC Light on Indoor Air Chemistry: A Modeling Study T. Carter et al. 10.1021/acs.est.5c07414
- The INGENIOUS project: towards understanding air pollution in homes N. Carslaw et al. 10.1039/D4EM00634H
- Kinetic multilayer models for surface chemistry in indoor environments P. Lakey & M. Shiraiwa 10.1039/D4EM00549J
- The impact of surfaces on indoor air chemistry following cooking and cleaning E. Harding-Smith et al. 10.1039/D4EM00410H
- Assessment of methods for predicting physical and chemical properties of organic compounds T. Salthammer 10.1016/j.indenv.2024.100031
- A measurement and modelling investigation of the indoor air chemistry following cooking activities H. Davies et al. 10.1039/D3EM00167A
- INCHEM-Py v1.2: a community box model for indoor air chemistry D. Shaw et al. 10.5194/gmd-16-7411-2023
- Composition of indoor organic surface films in residences: simulating the influence of sources, partitioning, particle deposition, and air exchange B. Cummings et al. 10.1039/D3EM00399J
8 citations as recorded by crossref.
- Indoor cooking and cleaning as a source of outdoor air pollution in urban environments T. Carter et al. 10.1039/D3EM00512G
- A coupled fluids-chemistry model for pollutant dynamics indoors—Application to a kitchen scenario Z. Liu et al. 10.1063/5.0270416
- Modelling indoor radical chemistry during the HOMEChem campaign F. Østerstrøm et al. 10.1039/D4EM00628C
- The Impact of UVC Light on Indoor Air Chemistry: A Modeling Study T. Carter et al. 10.1021/acs.est.5c07414
- The INGENIOUS project: towards understanding air pollution in homes N. Carslaw et al. 10.1039/D4EM00634H
- Kinetic multilayer models for surface chemistry in indoor environments P. Lakey & M. Shiraiwa 10.1039/D4EM00549J
- The impact of surfaces on indoor air chemistry following cooking and cleaning E. Harding-Smith et al. 10.1039/D4EM00410H
- Assessment of methods for predicting physical and chemical properties of organic compounds T. Salthammer 10.1016/j.indenv.2024.100031
3 citations as recorded by crossref.
- A measurement and modelling investigation of the indoor air chemistry following cooking activities H. Davies et al. 10.1039/D3EM00167A
- INCHEM-Py v1.2: a community box model for indoor air chemistry D. Shaw et al. 10.5194/gmd-16-7411-2023
- Composition of indoor organic surface films in residences: simulating the influence of sources, partitioning, particle deposition, and air exchange B. Cummings et al. 10.1039/D3EM00399J
Latest update: 15 Aug 2025
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...
