A transfer function model to describe odor causing VOCs transport in a ventilated airspace with mixing/adsorption heterogeneity

Liao, Chung‐Min; Chen, Jein Wen; Chen, Jui Sheng; Liang, Hong-Erh

doi:10.1016/s0307-904x(01)00032-4

Cited by 4 publications

(1 citation statement)

References 17 publications

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“…Friedlander, [15] Liao et al, [21] Greenfield et al, [22] Okuyama and Kousaka, [23] Liao et al [24] and among others have been used the populationbalance model to describe the time-dependent change in properties of an airborne dust undergoing turbulent coagulation, turbulent diffusive deposition, gravitational settling, and ventilation airflow. By using the populationbalance model, the road dust dynamics in a ventilated airspace can be expressed as (Fig.…”

Section: Mathematical Modelmentioning

confidence: 99%

Removal Dynamics of Airborne Road Dust in a Ventilated Airspace

Liao

Huang

Chen

et al. 2002

Journal of Environmental Science and Health, Part A

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We derive a simple linear dynamic equation to describe the removal mechanisms of airborne road dust from a ventilated airspace. The dynamic equation is sufficiently to take into account the simultaneous removal effects of turbulent coagulation, turbulent diffusive deposition, gravitational sedimentation, and airflow pattern within a ventilated airspace. Three dimensionless parameters TC, TD, and GS that characterize the relative effects of turbulent coagulation, turbulent diffusive deposition and gravitational settling, respectively, in a ventilated airspace were introduced to generalize the removal dynamics of airborne road dust. An environmental chamber test was carried out not only to determine the particle size distributions but also to verify the removal dynamics of airborne road dust in a ventilated airspace. Our results demonstrate that there is no significant variation for particle size distributions of road dust obtained from urban and suburban areas in north Taiwan region and both followed a lognormal distribution with average geometric mean diameter of 1.08 +/- 0.02 microm and geometric standard deviation of 2.59+/-0.03. Measured values match the simulated values with an r2 value of 0.93, whereas the overall RMSE value of 2.36 +/- 1.05 mg m(-3) is low, indicating that the ability to predict the removal dynamics of airborne road dust within a ventilated airspace using an average particle size based linear equation. Effects of TC, TD, GS, and various ventilation systems on the time-dependent road dust concentrations are also justified.

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