Abstract
O-30A5-3 Background/Aims: The ESCAPE (European Study of Cohorts for Air Pollution Effects) project investigates the long-term health effects of exposure to air pollutants in Europe. Land use regression (LUR) modeling based on dedicated measurement campaigns will be used to estimate exposure to ambient air pollution for study participants of ongoing health studies. Methods: In 38 study areas in Europe, PM and NOx measurements are being conducted in a harmonized way in the period 2008–2011. In each study area, there are 40 NOx measurements and in selected areas 20 additional PM measurements are being conducted. Monitoring is being conducted in three 2-week periods in different seasons. In half of the study areas, the measurements have been successfully completed with few problems (eg, less than 5% of the NOx samplers have been stolen), resulting in more than 2000 measured concentrations. The monitored concentrations will then be used as independent variables to develop a LUR model for each study area. Data derived with Geographic Information Systems (GIS) will be used as predictor variables in the LUR models. European-wide GIS variables (such as CORINE land use, road network) are available for all study areas. In addition, local GIS variables (such as traffic intensity, street configuration, population density) will be used. The LUR models will be developed in a harmonized way in order to estimate exposures at addresses of study participants of health studies in the different areas. Results: At a workshop in April 2010, initial LUR models were developed for the different study areas. The LUR models were finalized before summer 2010. Conclusion: The study areas differ with respect to the variation in the measured concentrations and also the availability of local GIS data differs between study areas. We will discuss the performance, the agreement, and the differences between the different area-specific LUR models.
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