Modeling turbulent diffusion and advection of indoor air contaminants by Markov chains

AIHAJ : a Journal for the Science of Occupational and Environmental Health and Safety
Mark Nicas

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.

Citations

Sep 26, 2013·Journal of Exposure Science & Environmental Epidemiology·Kai-Chung ChengLynn M Hildemann
Dec 17, 2008·Risk Analysis : an Official Publication of the Society for Risk Analysis·Rachael M JonesJoan B Rose
Oct 9, 2016·Journal of Occupational and Environmental Hygiene·Yuan ShaoGurumurthy Ramachandran
Aug 20, 2014·The Annals of Occupational Hygiene·Rachael M Jones, Mark Nicas
Aug 22, 2014·The Annals of Occupational Hygiene·Rachael M Jones, Mark Nicas
Jun 14, 2017·Journal of Occupational and Environmental Hygiene·Susan F ArnoldGurumurthy Ramachandran

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