Ferguson, L; Taylor, J; Symonds, P; Davies, M; (2022) Modelling childhood exposure to indoor air pollution across socio-economic groups. In: Proceedings of the 17th International Conference on Indoor Air Quality and Climate, INDOOR AIR 2022. (pp. pp. 1-8). Indoor Air

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Abstract

Population exposure to indoor air pollution may be modified by socio-economic factors in a number of ways, but such factors are rarely considered in indoor air quality models. Here, we present a model which estimates exposure to indoor PM2.5 across income groups for the Greater London childhood population. The model uses a national time-activity database, which gives the percentage of each population group in different residential and non-residential microenvironments and links this to simulated domestic indoor concentrations from the building physics model, EnergyPlus, and for non-residential microenvironments to a mass-balance model with empirically measured building air change rates selected according to a probabilistic approach. The results display distributions of exposure across income groups for children in London, where median daily exposure is 14.4 ug/m3 for children in the lowest income quintile versus 11.7 ug/m3 for those in the highest income quintile.

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