INCHEM-Py v1.2: a community box model for indoor air chemistry

Shaw, David R.; Carter, Toby J.; Davies, Helen L.; Harding-Smith, Ellen; Crocker, Elliott C.; Beel, Georgia; Wang, Zixu; Carslaw, Nicola

doi:https://doi.org/10.5194/gmd-16-7411-2023

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.

https://doi.org/10.5194/gmd-16-7411-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 16, issue 24

Model description paper

|

21 Dec 2023

Model description paper |

| 21 Dec 2023

INCHEM-Py v1.2: a community box model for indoor air chemistry

David R. Shaw, Toby J. Carter, Helen L. Davies, Ellen Harding-Smith, Elliott C. Crocker, Georgia Beel, Zixu Wang, and Nicola Carslaw

Supplement

https://doi.org/10.5194/gmd-16-7411-2023-supplement

Data sets

INCHEM-Py v1.2: A community box model for indoor air chemistry paper data David R. Shaw et al. https://doi.org/10.15124/b68c1c34-8974-46d8-8728-05c6cd6e9e8b

Model code and software

INCHEM-Py v1.2: A community box model for indoor air chemistry David R. Shaw et al. https://doi.org/10.5281/zenodo.10027153

INCHEM-Py, github David R. Shaw et al. https://github.com/DrDaveShaw/INCHEM-Py

INCHEM-Py v1.2: A community box model for indoor air chemistry D. R. Shaw et al. https://doi.org/10.5281/ZENODO.8046598

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.