European air quality maps for 2017

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

European air quality maps for 2017

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

European air quality maps for 2017

Popis výsledku anglicky

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.

Druh

B - Odborná kniha

CEP obor

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OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2020

Kód důvěrnosti údajů

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

ISBN

978-82-93752-14-1

Počet stran knihy

100

Název nakladatele

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

Místo vydání

Kjeller, Norway

Kód UT WoS knihy

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