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 NO2, NOx, PM2.5, PM2.5absorbance and PM10. 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.
journal_name
Sci Datajournal_title
Scientific dataauthors
Schmitz O,Beelen R,Strak M,Hoek G,Soenario I,Brunekreef B,Vaartjes I,Dijst MJ,Grobbee DE,Karssenberg Ddoi
10.1038/sdata.2019.35subject
Has Abstractpub_date
2019-03-12 00:00:00pages
190035issn
2052-4463pii
sdata201935journal_volume
6pub_type
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