ETC/ATNI Report 11/2021: Air quality evolution and trends in Europe in 2005-2019 based on spatial maps. Trend analysis and population exposure using reconstructed consistent data fusion maps for PM10, ozone and NO2.
This report presents evolution and trends of air quality in Europe, based on a 15-year time series of spatial data fusion maps for the years 2005-2019. The analysis has been performed using reconstructed consistent maps for PM10 annual average, the ozone indicator SOMO35 and NO2 annual average.
29 Apr 2022
Jan Horálek, Markéta Schreiberová, Vladimíra Volná, Augustin Colette, Jana Schovánková, Leona Vlasáková, Jana Marková, Philipp Schneider, Luca Liberti, Joana Soares
Prepared by:
Jan Horálek (CHMI), Markéta Schreiberová (CHMI), Vladimíra Volná (CHMI), Augustin Colette (INERIS), Jana Schovánková (CHMI), Leona Vlasáková (CHMI), Jana Marková (CHMI), Philipp Schneider (NILU)
This report analyses evolution and trends of air quality in Europe, based on a 15-year time series of spatial data fusion maps for the years 2005-2019. The analysis has been performed for PM10 annual average, the ozone indicator SOMO35 and NO2 annual average. For the purpose of the Eionet Report - ETC/ATNI 2021/11 trend analysis, a consistent reconstruction of the full 15-year time series of air quality maps has been performed, based on a consistent mapping methodology and input data. For the reconstruction, the Regression – Interpolation – Merging Mapping (RIMM) methodology as routinely used in the regular European-wide annual mapping has been applied.
The trend analysis has been performed based on time series of the aggregated data for individual countries, for large European regions and for the entire mapping area, both for spatial and population-weighted aggregations. In addition, maps of trends have been constructed based on the trend estimates for all grid cells of a map.
For the European-wide aggregations across the whole mapping area, statistically significant downward trend have been estimated for PM10 and NO2, while no significant trend was detected in the case of ozone.
