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Title: Spatio-temporal modelling of indoor particulate matter in naturally-ventilated buildings
Author: Jamieson, Sirinath Sanphuang
ISNI:       0000 0004 2728 9780
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2012
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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.
Supervisor: Briggs, David ; Gulliver, John Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral