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European air quality maps for 2017

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F20%3AN0000121" target="_blank" >RIV/00020699:_____/20:N0000121 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.eionet.europa.eu/etcs/etc-atni/products/etc-atni-reports/etc-atni-report-9-2019-european-air-quality-maps-for-2017-pm10-pm2-5-ozone-no2-and-nox-spatial-estimates-and-their-uncertainties" target="_blank" >https://www.eionet.europa.eu/etcs/etc-atni/products/etc-atni-reports/etc-atni-report-9-2019-european-air-quality-maps-for-2017-pm10-pm2-5-ozone-no2-and-nox-spatial-estimates-and-their-uncertainties</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5281/zenodo.4309292" target="_blank" >10.5281/zenodo.4309292</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    European air quality maps for 2017

  • Original language description

    The paper 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 2017. The report contains also NOx annual average concentration map for 2017. The trends in exposure estimates in the period 2005-2017 for PM10 and ozone, resp. in the period 2007-2017 for PM2.5 are summarized. The analysis is based on interpolation of annual statistics of the 2017 observational data reported by EEA Member countries in 2016 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.

  • Czech name

  • Czech description

Classification

  • Type

    B - Specialist book

  • CEP classification

  • OECD FORD branch

    10509 - Meteorology and atmospheric sciences

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • ISBN

    978-82-93752-14-1

  • Number of pages

    100

  • Publisher name

    ETC/ATNI c/o NILU - Norwegian Institute for Air Research

  • Place of publication

    Kjeller, Norway

  • UT code for WoS book