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European air quality maps for 2018. PM10, PM2.5, Ozone, NO2 and NOx Spatial estimates and their uncertainties.

Horálek, Jan; Schreiberova, Marketa; Vlasakova, Leona; Markova, Jana; Tognet, Frédéric; Schneider, Philipp; Kurfürst, Pavel; Schovánková, Jana

Publication details

Series: Eionet Report - ETC/ATNI 2020/10

Publisher: ETC/ATNI

Year: 2021

ISBN: 978-82-93752-20-2

Fulltekst: www.eionet.europa.eu/etcs/etc-atni/products/etc-atni-reports/etc-atni-report-10-2020-european-air-quality-maps-for-2018-pm10-pm2-5-ozone-no2-and-nox-spatial-estimates-and-their-uncertainties-1

The report provides the annual update of the European air quality concentration maps and population exposure estimates for human health related indicators of pollutants PM10 (annual average, 90.4 percentile of daily means), PM2.5 (annual average), ozone (93.2 percentile of maximum daily 8-hour means, SOMO35, SOMO10) and NO2 (annual average), and vegetation related ozone indicators (AOT40 for vegetation and for forests) for the year 2018. The report contains also Phytotoxic ozone dose (POD) for wheat and potato maps and NOx annual average maps for 2018. The POD maps are presented for the first time in this regular mapping report. The trends in exposure estimates in the period 2005-2018 are summarized. The analysis is based on interpolation of annual statistics of the 2018 observational data reported by the EEA member and cooperating countries and other voluntary reporting countries and stored in the Air Quality e-reporting database. The mapping method is the Regression – Interpolation – Merging Mapping. It combines monitoring data, chemical transport model results and other supplementary data using linear regression model followed by kriging of its residuals (residual kriging). The paper presents the mapping results and gives an uncertainty analysis of the interpolated maps.