Traditionally in air pollution epidemiology, only the air pollution at the address location is considered in assessment of air pollution exposure. Such static approach does not take into account time-activity patterns of individuals, and may lead to a bias in exposure assessments. The present study demonstrates how consideration of time-activity-based information of individuals and space and time variability of air pollutants’ concentrations affect personal exposure using the newly updated Danish AirGIS system. The study provides an overview of presently ongoing work, where new AirGIS is being updated in terms of dynamic exposure assessment to air pollution using measured and modelled data. The focus is on developing a novel dynamic exposure assessment framework to facilitate health-related studies. Our preliminary findings suggest that the exposure estimates based on time-activity patterns of individuals depend on the level of one’s mobility as well as location of workplace relative to home etc. The presentation will provide a summary of results based on model calculations. Measurements are planned to be performed soon.
|Number of pages||5|
|Publication status||Published - 2019|
|Event||19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Harmo 2019 - Bruges, Belgium|
Duration: 3 Jun 2019 → 6 Jun 2019
|Conference||19th International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, Harmo 2019|
|Period||3/06/19 → 6/06/19|