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Simulating indoor inorganic aerosols of outdoor origin with the inorganic aerosol thermodynamic equilibrium model ISORROPIA.
Berman, Bryan C; Cummings, Bryan E; Avery, Anita M; DeCarlo, Peter F; Capps, Shannon L; Waring, Michael S.
  • Berman BC; Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, Pennsylvania, USA.
  • Cummings BE; Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, Pennsylvania, USA.
  • Avery AM; Aerodyne Research, Inc., Billerica, Massachusetts, USA.
  • DeCarlo PF; Department of Environmental Health and Engineering, Johns Hopkins University, Baltimore, Maryland, USA.
  • Capps SL; Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, Pennsylvania, USA.
  • Waring MS; Department of Civil, Architectural and Environmental Engineering, Drexel University, Philadelphia, Pennsylvania, USA.
Indoor Air ; 32(7): e13075, 2022 07.
Article en En | MEDLINE | ID: mdl-35904391
ABSTRACT
Outdoor aerosols can transform and have their composition altered upon transport indoors. Herein, IMAGES, a platform that simulates indoor organic aerosol with the 2-dimensional volatility basis set (2D-VBS), was extended to incorporate the inorganic aerosol thermodynamic equilibrium model, ISORROPIA. The model performance was evaluated by comparing aerosol component predictions to indoor measurements from an aerosol mass spectrometer taken during the summer and winter seasons. Since ammonia was not measured in the validation dataset, outdoor ammonia was estimated from aerosol measurements using a novel pH-based algorithm, while nitric acid was held constant. Modeled indoor ammonia sources included temperature-based occupant and surface emissions. Sensitivity to the nitric acid indoor surface deposition rate ß g , HNO 3 , g was explored by varying it in model runs, which did not affect modeled sulfate due to its non-volatile nature, though the fitting of a filter efficiency was required for good correlations of modeled sulfate with measurements in both seasons. Modeled summertime nitrate well-matched measured observations when ß g , HNO 3 , g = 2.75 h - 1 , but wintertime comparisons were poor, possibly due to missing thermodynamic processes within the heating, ventilating, and air-conditioning (HVAC) system. Ammonium was consistently overpredicted, potentially due to neglecting thirdhand smoke impacts observed in the field campaign, as well as HVAC impacts.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Contaminación del Aire Interior / Contaminantes Atmosféricos Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Contaminación del Aire Interior / Contaminantes Atmosféricos Tipo de estudio: Prognostic_studies Idioma: En Año: 2022 Tipo del documento: Article