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Modeling the reversible, diffusive sink effect in response to transient contaminant sources.
D Zhao1, J C Little, A T Hodgson
1Department of Civil and Environmental Engineering, Virginia Tech, Blacksburg, VA, USA.
Indoor Air
|September 25, 2002
Summary
A diffusion model predicts how indoor materials absorb volatile organic compounds (VOCs). Some materials significantly reduce peak VOCs during spills, while others have a modest effect on continuous emissions.
Area of Science:
- Environmental Science
- Indoor Air Quality
- Chemical Engineering
Background:
- Indoor air quality is influenced by volatile organic compounds (VOCs) emitted from building materials.
- Understanding the "sink effect" of indoor materials is crucial for predicting transient contaminant concentrations.
Purpose of the Study:
- To develop and apply a physically based diffusion model to evaluate the sink effect of indoor materials on VOCs.
- To predict transient VOC concentrations in indoor air under various emission scenarios.
Main Methods:
- A diffusion model was employed, assuming a homogeneous slab material and well-mixed indoor air.
- Model predictions utilized material/air partition coefficient (K) and material-phase diffusion coefficient (D).
- Three realistic building scenarios with time-varying VOC sources (styrene, phenol, naphthalene) and different materials (SBR, VF, PUF) were simulated.
Main Results:
- The model predicted varying sink effects: modest for SBR/styrene with continuous emissions, but significant for VF/phenol and PUF/naphthalene.
- Styrene butadiene rubber (SBR) considerably reduced peak styrene concentrations during an episodic spill.
- Parametric analysis showed that the equilibrium constant (K) governs profiles with high K, while the kinetic constant (D) dominates when mass transfer resistance is low.
Conclusions:
- Indoor materials exhibit a significant "sink effect" that modulates indoor VOC concentrations, with the impact varying based on material properties and emission patterns.
- The diffusion model provides a valuable tool for predicting indoor air quality and assessing the performance of materials as contaminant sinks.
- Material properties (K and D) and emission characteristics are key determinants of VOC concentration dynamics indoors.