This thesis is intended to derive deterministic models, from different techniques
and disciplines, to predict indoor air pollution originated from the outdoors
where/when such measurement cannot be undertaken. It focuses on modelling
indoor concentrations of particulate matter (PM) in naturally ventilated buildings
taking into account spatial and temporal variations. The models developed have
considered variables potentially influencing indoor PM concentrations, such as,
outdoor PM concentrations, meteorological conditions, room
characteristics/orientation, natural ventilation and human activity patterns.
Analyses undertaken during this research have provided a number of findings
concerning the ability to predict indoor PM concentrations as a function of
ambient air pollution. In particular, results indicate how ambient PM
concentrations and time-activity data can be used to help assess indoor PM
levels.