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Numerical modeling of particle generation from ozone reactions with human-worn clothing in indoor environments

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dc.contributor.author Rai, Aakash Chand
dc.date.accessioned 2023-09-26T10:57:30Z
dc.date.available 2023-09-26T10:57:30Z
dc.date.issued 2015-02
dc.identifier.uri https://www.sciencedirect.com/science/article/abs/pii/S1352231014009248
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/12103
dc.description.abstract Ozone-terpene reactions are important sources of indoor ultrafine particles (UFPs), a potential health hazard for human beings. Humans themselves act as possible sites for ozone-initiated particle generation through reactions with squalene (a terpene) that is present in their skin, hair, and clothing. This investigation developed a numerical model to probe particle generation from ozone reactions with clothing worn by humans. The model was based on particle generation measured in an environmental chamber as well as physical formulations of particle nucleation, condensational growth, and deposition. In five out of the six test cases, the model was able to predict particle size distributions reasonably well. The failure in the remaining case demonstrated the fundamental limitations of nucleation models. The model that was developed was used to predict particle generation under various building and airliner cabin conditions. These predictions indicate that ozone reactions with human-worn clothing could be an important source of UFPs in densely occupied classrooms and airliner cabins. Those reactions could account for about 40% of the total UFPs measured on a Boeing 737-700 flight. The model predictions at this stage are indicative and should be improved further. en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Mechanical Engineering en_US
dc.subject Human-worn clothing en_US
dc.subject Ozone-terpene en_US
dc.title Numerical modeling of particle generation from ozone reactions with human-worn clothing in indoor environments en_US
dc.type Article en_US


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