Abstract
Long-term exposure to air pollution is considered a major public health concern and has been related to overall mortality and various diseases such as respiratory and cardiovascular disease. Due to the spatial variability of air pollution concentrations, assessment of individual exposure to air pollution requires spatial datasets at high resolution. Combining detailed air pollution maps with personal mobility and activity patterns allows for an improved exposure assessment. We present high-resolution datasets for the Netherlands providing average ambient air pollution concentration values for the year 2009 for NO 2 ,NO x , PM 2.5 ,PM 2.5absorbance and PM 10. The raster datasets on 5 × 5 m grid cover the entire Netherlands and were calculated using the land use regression models originating from the European Study of Cohorts for Air Pollution Effects (ESCAPE) project. Additional datasets with nationwide and regional measurements were used to evaluate the generated concentration maps. The presented datasets allow for spatial aggregations on different scales, nationwide individual exposure assessment, and the integration of activity patterns in the exposure estimation of individuals.
| Original language | English |
|---|---|
| Article number | 190035 |
| Journal | Scientific data |
| Volume | 6 |
| DOIs | |
| Publication status | Published - 12 Mar 2019 |
Funding
This project was supported by the interdisciplinary research program Healthy Urban Living from Utrecht University (www.uu.nl/hul) and the Dutch research programme Maps4Society (project 13721). Some of the predictor variables were computed using the Dutch national supercomputer facilities of SURFsara, Amsterdam (project SH-293-14). Our colleague Rob Beelen passed away on 21 September 2017. Rob was key in developing the ESCAPE models and linking the two Utrecht University departments to apply the models on a large scale. We will remember him for his friendly, systematic and thoughtful approach, but especially as a wonderful person.
