INCHEM-Py v1.2: a community box model for indoor air chemistry
-
Published:2023-12-21
Issue:24
Volume:16
Page:7411-7431
-
ISSN:1991-9603
-
Container-title:Geoscientific Model Development
-
language:en
-
Short-container-title:Geosci. Model Dev.
Author:
Shaw David R.ORCID, Carter Toby J.ORCID, Davies Helen L., Harding-Smith EllenORCID, Crocker Elliott C., Beel Georgia, Wang Zixu, Carslaw Nicola
Abstract
Abstract. The Indoor CHEMical model in Python, INCHEM-Py, is an open-source and accessible box model for the simulation of the indoor atmosphere and is a refactor (rewrite of source code) and significant development of the INdoor Detailed Chemical Model (INDCM). INCHEM-Py creates and solves a system of coupled ordinary differential equations that include gas-phase chemistry, surface deposition, indoor–outdoor air change, indoor photolysis processes and gas-to-particle partitioning for three common terpenes. It is optimised for ease of installation and simple modification for inexperienced users, while also providing unfettered access to customise the physical and chemical processes for more advanced users. A detailed user manual is included with the model and updated with each version release. In this paper, INCHEM-Py v1.2 is introduced, and the modelled processes are described in detail, with benchmarking between simulated data and published experimental results presented, alongside discussion of the parameters and assumptions used. It is shown that INCHEM-Py achieves excellent agreement with measurements from an experimental campaign which investigate the effects of different surfaces on the concentrations of different indoor air pollutants. In addition, INCHEM-Py shows closer agreement to experimental data than INDCM. This is due to the increased functionality of INCHEM-Py to model additional processes, such as deposition-induced surface emissions. A comparative analysis with a similar zero-dimensional model, AtChem2, verifies the solution of the gas-phase chemistry. Published community use cases of INCHEM-Py are also presented to show the variety of applications for which this model is valuable to further our understanding of indoor air chemistry.
Funder
Alfred P. Sloan Foundation
Publisher
Copernicus GmbH
Reference105 articles.
1. Abbass, O. A., Sailor, D. J., and Gall, E. T.: Effect of fiber material on ozone removal and carbonyl production from carpets, Atmos. Environ., 148, 42–48, https://doi.org/10.1016/j.atmosenv.2016.10.034, 2017. a 2. Alicke, B.: OH formation by HONO photolysis during the BERLIOZ experiment, J. Geophys. Res., 108, 8247, https://doi.org/10.1029/2001JD000579, 2003. a 3. Arata, C., Zarzana, K. J., Misztal, P. K., Liu, Y., Brown, S. S., Nazaroff, W. W., and Goldstein, A. H.: Measurement of NO3 and N2O5 in a Residential Kitchen, Environ. Sci. Tech. Let., 5, 595–599, https://doi.org/10.1021/acs.estlett.8b00415, 2018. a 4. Bari, M. A. and Kindzierski, W. B.: Ambient volatile organic compounds (VOCs) in Calgary, Alberta: Sources and screening health risk assessment, Sci. Total Environ., 631–632, 627–640, https://doi.org/10.1016/j.scitotenv.2018.03.023, 2018. a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q 5. Bari, M. A., Kindzierski, W. B., and Spink, D.: Twelve-year trends in ambient concentrations of volatile organic compounds in a community of the Alberta Oil Sands Region, Canada, Environ. Int., 91, 40–50, https://doi.org/10.1016/j.envint.2016.02.015, 2016. a, b, c, d, e, f, g, h
|
|