Modeling turbulent diffusion and advection of indoor air contaminants by Markov chains.
Nicas, M.
2001 AIHAJ - American Industrial Hygiene Association, Volume 62, Issue 2 March 2001 , pages 149 - 158
Nicas, M., (2001), "Modeling turbulent diffusion and advection of indoor air contaminants by Markov chains.", AIHAJ - American Industrial Hygiene Association, Volume 62, Issue 2 March 2001 , pages 149 - 158.
Abstract:
Turbulent eddy diffusion models are used to describe a continuous concentration gradient with distance from an in-room contaminant emission source. A refined diffusion model termed the Drivas model also accounts for contaminant reflection by wall surfaces and partially accounts for removal by exhaust air. This article develops two models based on Markov chains to describe indoor air contaminant dispersion by turbulent diffusion and advection, and removal by the exhaust airflow. Markov model I is equivalent to the Drivas model and is computationally simple. Markov model II can provide more realism by accounting for the locations of air inlets and outlets, advective flow patterns, in-room reflective surfaces, and contaminant removal mechanisms at specific room positions. The price paid for this greater realism is greater computational complexity. Both Markov models are explicitly probabilistic and estimate the expected concentration values at given room positions.
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