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Modeling Indoor Inorganic Aerosol Concentrations During the ATHLETIC Campaign with IMAGES
Bryan Berman1, Bryan Cummings1, Hongyu Guo2
1Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, Pennsylvania 19104, United States.
Summary
This study evaluated the Indoor Model of Aerosols, Gases, Emissions, and Surfaces (IMAGES) for indoor air quality. Adjusting temperature and humidity in the ISORROPIA model significantly improved agreement between modeled and measured inorganic aerosol concentrations.
Area of Science:
- Environmental Science
- Atmospheric Chemistry
- Indoor Air Quality
Background:
- Indoor environments host complex aerosol and gas dynamics.
- The ATHLETIC campaign collected data on indoor air composition in a gymnasium.
- Understanding indoor inorganic aerosol behavior is crucial for health and environmental assessments.
Purpose of the Study:
- To evaluate the performance of the Indoor Model of Aerosols, Gases, Emissions, and Surfaces (IMAGES) using real-world indoor air quality data.
- To assess the accuracy of the ISORROPIA thermodynamic equilibrium model in simulating indoor inorganic aerosol partitioning.
- To identify key parameters influencing indoor aerosol composition and model performance.
Main Methods:
- Utilized data from the 2018 ATHLETIC campaign conducted at the University of Colorado.
- Alternatingly measured inorganic particle and gas-phase species in a gym's supply duct and weight room.
- Employed the ISORROPIA model within IMAGES to estimate aerosol-gas partitioning, informed by occupancy data.
Main Results:
- Initial IMAGES model runs showed poor agreement with measured indoor inorganic aerosol concentrations.
- Lowering temperature and increasing relative humidity in the ISORROPIA model substantially improved agreement.
- The study suggests enhanced aerosol water content or non-equilibrium conditions may explain the improved model performance.
Conclusions:
- Simulating indoor inorganic aerosol dynamics with ISORROPIA requires careful parameterization, particularly regarding temperature and relative humidity.
- The findings highlight potential limitations of applying thermodynamic equilibrium models in dynamic indoor settings.
- Further experimental validation is necessary to refine the application of ISORROPIA for indoor air quality modeling.

