This repository contains Python analysis scripts for evaluating indoor air quality during simulated wildfire smoke infiltration events in a manufactured home test structure. The research investigates the effectiveness of various mitigation strategies, including portable air cleaners, HVAC filtration systems, and compartmentalization approaches for protecting indoor environments from wildfire smoke.
About this Dataset
| Title | Manufactured Housing Wildland-Urban Interface (WUI) Fire Smoke Study Python Scripts |
|---|---|
| Description | This repository contains Python analysis scripts for evaluating indoor air quality during simulated wildfire smoke infiltration events in a manufactured home test structure. The research investigates the effectiveness of various mitigation strategies, including portable air cleaners, HVAC filtration systems, and compartmentalization approaches for protecting indoor environments from wildfire smoke. |
| Modified | 2026-02-18 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | Wildland-Urban Interface , Indoor Air Quality , Portable Air Cleaners , Clean Air Delivery Rate , Particulate Matter , MERV Filtration , Cleaner Air Space , Residential Exposure Mitigation |
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"title": "Manufactured Housing Wildland-Urban Interface (WUI) Fire Smoke Study Python Scripts",
"description": "This repository contains Python analysis scripts for evaluating indoor air quality during simulated wildfire smoke infiltration events in a manufactured home test structure. The research investigates the effectiveness of various mitigation strategies, including portable air cleaners, HVAC filtration systems, and compartmentalization approaches for protecting indoor environments from wildfire smoke.",
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