A long-term dynamic model for predicting the concentration of semivolatile organic compounds in indoor environments: Application to phthalates
| Autor: | Olivier Ramalho, Wenjuan Wei, Corinne Mandin |
|---|---|
| Přispěvatelé: | Centre Scientifique et Technique du Bâtiment (CSTB) |
| Rok vydání: | 2019 |
| Předmět: |
phthalate
Environmental Engineering building material Geography Planning and Development 0211 other engineering and technologies 02 engineering and technology 010501 environmental sciences 01 natural sciences chemistry.chemical_compound Indoor air quality Mass transfer emission Semivolatile organic compound (SVOC) Relative humidity 021108 energy 0105 earth and related environmental sciences Civil and Structural Engineering [SDV.EE]Life Sciences [q-bio]/Ecology environment [SDV.EE.SANT]Life Sciences [q-bio]/Ecology environment/Health Air exchange Environmental chamber Phthalate Building and Construction partition chemistry 13. Climate action Air temperature Environmental chemistry Environmental science Indoor air temperature indoor air quality |
| Zdroj: | Building and Environment Building and Environment, Elsevier, 2019, 148, pp.11-19. ⟨10.1016/j.buildenv.2018.10.044⟩ |
| ISSN: | 0360-1323 |
| Popis: | International audience; Semivolatile organic compounds (SVOCs) in indoor environments can partition into the gas phase, airborne particles, and settled dust and onto available surfaces. A long-term dynamic model was developed to predict the hourly concentrations of SVOCs over a year in the gas phase, airborne particles, and settled dust and on each sink surface. The model takes into account mass transfer mechanisms, the reactivity of SVOCs with oxidants indoors, and the influence of four indoor environmental factors (the air temperature, relative humidity, concentration of indoor airborne particles, and air exchange rate) on the mass transfer parameters. The model was validated for DEHP (di-2-ethylhexyl phthalate) and BBzP (butyl benzyl phthalate) by comparing the predicted concentrations in all the phases with the measured concentrations obtained in an environmental chamber and a test house. The model was then used to predict the hourly averaged concentration of BBzP in all the phases under real environmental conditions over a year. More than 52% of the variance in the BBzP concentration was found to be associated with the covariance of the environmental factors. The air exchange rate contributed to 16% of the variance in the concentration. In addition, the indoor air temperature and relative humidity contributed 9% of the variance in the gas-phase concentration of BBzP and 7% of the variance in the settled dust concentration of BBzP. The variance in the concentration of the total suspended particles contributed 10% of the variance in the BBzP concentration on the walls and windows. |
| Databáze: | OpenAIRE |
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