Indoor air quality during cooking and cleaning: a modelling case study in a residential kitchen evaluated with real-world reference instrument measurements.
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| Title: | Indoor air quality during cooking and cleaning: a modelling case study in a residential kitchen evaluated with real-world reference instrument measurements. |
|---|---|
| Authors: | Su, Yizhou1 (AUTHOR), Sommariva, Roberto1 (AUTHOR), Levine, James1,2 (AUTHOR), Acton, W. Joe F.1 (AUTHOR), Sahu, Ravi1,3 (AUTHOR), Brean, James1 (AUTHOR), Bloss, William J.1 (AUTHOR), Mazzeo, Andrea1,4 (AUTHOR), Nasir, Zaheer A.5 (AUTHOR), Shaw, David R.6,7 (AUTHOR), Shi, Zongbo1 (AUTHOR), Hopkins, Jim R.7,8 (AUTHOR), Pfrang, Christian1,9 (AUTHOR) c.pfrang@bham.ac.uk |
| Source: | Environmental Science: Processes & Impacts. Jun2026, Vol. 28 Issue 6, p1667-1683. 17p. |
| Subject Terms: | *Indoor air pollution, *Chemical reactions, *Indoor air quality, *Ventilation, Kitchens |
| Abstract: | Indoor air pollution during cooking and cleaning is influenced by complex interactions between direct emissions, ventilation-driven outdoor/indoor exchange, deposition and chemical reactions on surfaces, and indoor chemical processing. This study developed a flexible indoor single-box model (SBM-Flex) based on the INCHEM-Py indoor chemistry model to improve the representation of indoor chemistry and pollutant dynamics. The model contains chemical mechanisms of differing complexities, which can be chosen to balance computational efficiency and accuracy for specific applications. SBM-Flex was evaluated against a new observational dataset collected with reference instruments in a residential kitchen to evaluate the model's ability to simulate real-world conditions. The model qualitatively and quantitatively reproduces background conditions and episodic emission events, particularly for NOx, CO, and monoterpenes. We showed that a revised HONO formation scheme, incorporating relative humidity dependence, improves the process-level representation of indoor radical chemistry, resulting in a more realistic HONO, OH and HO2 description compared to a static HONO treatment. Simulated cooking and cleaning events highlight the importance of event-specific emissions and occupant-related effects, particularly enhanced surface deposition due to human presence, which influences O3 removal. Comparison between measurement-informed and inventory-based emissions reveals significant discrepancies, with inventory emissions often, though not uniformly, higher than real-world values. These findings underscore the need for activity-specific emission inventories and improved ventilation representation. SBM-Flex offers a promising approach for indoor air quality modelling providing valuable insights into the key processes that govern pollutant behaviour in residential environments and hence identifying priorities to reduce exposure and protect health. [ABSTRACT FROM AUTHOR] |
| Copyright of Environmental Science: Processes & Impacts is the property of Royal Society of Chemistry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | GreenFILE |
| FullText | Text: Availability: 0 |
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| Header | DbId: 8gh DbLabel: GreenFILE An: 194778412 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Indoor air quality during cooking and cleaning: a modelling case study in a residential kitchen evaluated with real-world reference instrument measurements. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Su%2C+Yizhou%22">Su, Yizhou</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sommariva%2C+Roberto%22">Sommariva, Roberto</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Levine%2C+James%22">Levine, James</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Acton%2C+W%2E+Joe+F%2E%22">Acton, W. Joe F.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sahu%2C+Ravi%22">Sahu, Ravi</searchLink><relatesTo>1,3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Brean%2C+James%22">Brean, James</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bloss%2C+William+J%2E%22">Bloss, William J.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mazzeo%2C+Andrea%22">Mazzeo, Andrea</searchLink><relatesTo>1,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nasir%2C+Zaheer+A%2E%22">Nasir, Zaheer A.</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shaw%2C+David+R%2E%22">Shaw, David R.</searchLink><relatesTo>6,7</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Shi%2C+Zongbo%22">Shi, Zongbo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hopkins%2C+Jim+R%2E%22">Hopkins, Jim R.</searchLink><relatesTo>7,8</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pfrang%2C+Christian%22">Pfrang, Christian</searchLink><relatesTo>1,9</relatesTo> (AUTHOR)<i> c.pfrang@bham.ac.uk</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environmental+Science%3A+Processes+%26+Impacts%22">Environmental Science: Processes & Impacts</searchLink>. Jun2026, Vol. 28 Issue 6, p1667-1683. 17p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Indoor+air+pollution%22">Indoor air pollution</searchLink><br />*<searchLink fieldCode="DE" term="%22Chemical+reactions%22">Chemical reactions</searchLink><br />*<searchLink fieldCode="DE" term="%22Indoor+air+quality%22">Indoor air quality</searchLink><br />*<searchLink fieldCode="DE" term="%22Ventilation%22">Ventilation</searchLink><br /><searchLink fieldCode="DE" term="%22Kitchens%22">Kitchens</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Indoor air pollution during cooking and cleaning is influenced by complex interactions between direct emissions, ventilation-driven outdoor/indoor exchange, deposition and chemical reactions on surfaces, and indoor chemical processing. This study developed a flexible indoor single-box model (SBM-Flex) based on the INCHEM-Py indoor chemistry model to improve the representation of indoor chemistry and pollutant dynamics. The model contains chemical mechanisms of differing complexities, which can be chosen to balance computational efficiency and accuracy for specific applications. SBM-Flex was evaluated against a new observational dataset collected with reference instruments in a residential kitchen to evaluate the model's ability to simulate real-world conditions. The model qualitatively and quantitatively reproduces background conditions and episodic emission events, particularly for NOx, CO, and monoterpenes. We showed that a revised HONO formation scheme, incorporating relative humidity dependence, improves the process-level representation of indoor radical chemistry, resulting in a more realistic HONO, OH and HO2 description compared to a static HONO treatment. Simulated cooking and cleaning events highlight the importance of event-specific emissions and occupant-related effects, particularly enhanced surface deposition due to human presence, which influences O3 removal. Comparison between measurement-informed and inventory-based emissions reveals significant discrepancies, with inventory emissions often, though not uniformly, higher than real-world values. These findings underscore the need for activity-specific emission inventories and improved ventilation representation. SBM-Flex offers a promising approach for indoor air quality modelling providing valuable insights into the key processes that govern pollutant behaviour in residential environments and hence identifying priorities to reduce exposure and protect health. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Environmental Science: Processes & Impacts is the property of Royal Society of Chemistry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1039/d5em00987a Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1667 Subjects: – SubjectFull: Indoor air pollution Type: general – SubjectFull: Chemical reactions Type: general – SubjectFull: Indoor air quality Type: general – SubjectFull: Ventilation Type: general – SubjectFull: Kitchens Type: general Titles: – TitleFull: Indoor air quality during cooking and cleaning: a modelling case study in a residential kitchen evaluated with real-world reference instrument measurements. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Su, Yizhou – PersonEntity: Name: NameFull: Sommariva, Roberto – PersonEntity: Name: NameFull: Levine, James – PersonEntity: Name: NameFull: Acton, W. Joe F. – PersonEntity: Name: NameFull: Sahu, Ravi – PersonEntity: Name: NameFull: Brean, James – PersonEntity: Name: NameFull: Bloss, William J. – PersonEntity: Name: NameFull: Mazzeo, Andrea – PersonEntity: Name: NameFull: Nasir, Zaheer A. – PersonEntity: Name: NameFull: Shaw, David R. – PersonEntity: Name: NameFull: Shi, Zongbo – PersonEntity: Name: NameFull: Hopkins, Jim R. – PersonEntity: Name: NameFull: Pfrang, Christian IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20507887 Numbering: – Type: volume Value: 28 – Type: issue Value: 6 Titles: – TitleFull: Environmental Science: Processes & Impacts Type: main |
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