@article{discovery1427037,
          number = {6},
            year = {2014},
           month = {April},
         journal = {Indoor Air},
           title = {The modifying effect of the building envelope on population exposure to PM2.5 from outdoor sources},
           pages = {639-- 651},
          volume = {24},
            note = {{\copyright} 2014 The Authors. Indoor Air Published by John Wiley \& Sons Ltd This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.},
            issn = {0905-6947},
        abstract = {A number of studies have estimated population exposure to PM2.5 by examining modelled or measured outdoor PM2.5 levels. However, few have taken into account the mediating effects of building characteristics on the ingress of PM2.5 from outdoor sources and its impact on population exposure in the indoor domestic environment. This study describes how building simulation can be used to determine the indoor concentration of outdoor-sourced pollution for different housing typologies, and how the results can be mapped using building stock models and Geographical Information Systems (GIS) software to demonstrate the modifying effect of dwellings on occupant exposure to PM2.5 across London. Building archetypes broadly representative of those in the Greater London Authority (GLA) were simulated for pollution infiltration using EnergyPlus. In addition, the influence of occupant behaviour on indoor levels of PM2.5 from outdoor sources was examined using a temperature-dependent window-opening scenario. Results demonstrate a range of I/O ratios of PM2.5 , with detached and semi-detached dwellings most vulnerable to high levels of infiltration. When the results are mapped, central London shows lower I/O ratios of PM2.5 compared to outer London, an apparent inversion of exposure most likely caused by the prevalence of flats rather than detached or semi-detached properties. This article is protected by copyright. All rights reserved.},
             url = {http://dx.doi.org/10.1111/ina.12116},
          author = {Taylor, J and Shrubsole, C and Davies, M and Biddulph, P and Das, P and Hamilton, I and Vardoulakis, S and Mavrogianni, A and Jones, B and Oikonomou, E},
        keywords = {GIS, PM 2.5, EnergyPlus, Indoor Air Quality, building stock model}
}