Mapping annual mean PM2.5 concentrations in Europe: application of pseudo PM2.5 station data. ETC/ACM Technical Paper 2011/5.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F11%3A%230000594" target="_blank" >RIV/00020699:_____/11:#0000594 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Mapping annual mean PM2.5 concentrations in Europe: application of pseudo PM2.5 station data. ETC/ACM Technical Paper 2011/5.

Popis výsledku v původním jazyce

This report describes the use of multiple linear regression to derive pseudo PM2.5 annual mean concentrations from measured PM10 annual mean concentrations and applies these data to derive European wide maps of annual mean PM2.5. Maps are made for the years 2007 and 2008. It is found that using multiple linear regression provides estimates of annual mean PM2.5 close to, or within, the data quality objectives set out in Air Quality Directive (2008/50/EC), when taking into account the less stringent requirements for data below the lower assessment threshold. However, the pseudo PM2.5 data does not completely satisfy the more stringent data quality objectives for fixed measurements alone, and so the pseudo PM2.5 data cannot be used as a direct replacementfor monitoring data. The pseudo PM2.5 data derived is considered to be of sufficient quality for its use in the map making application carried out here. Maps are created and their uncertainty is assessed using cross-validation methods. I

Název v anglickém jazyce

Mapping annual mean PM2.5 concentrations in Europe: application of pseudo PM2.5 station data. ETC/ACM Technical Paper 2011/5.

Popis výsledku anglicky

This report describes the use of multiple linear regression to derive pseudo PM2.5 annual mean concentrations from measured PM10 annual mean concentrations and applies these data to derive European wide maps of annual mean PM2.5. Maps are made for the years 2007 and 2008. It is found that using multiple linear regression provides estimates of annual mean PM2.5 close to, or within, the data quality objectives set out in Air Quality Directive (2008/50/EC), when taking into account the less stringent requirements for data below the lower assessment threshold. However, the pseudo PM2.5 data does not completely satisfy the more stringent data quality objectives for fixed measurements alone, and so the pseudo PM2.5 data cannot be used as a direct replacementfor monitoring data. The pseudo PM2.5 data derived is considered to be of sufficient quality for its use in the map making application carried out here. Maps are created and their uncertainty is assessed using cross-validation methods. I

Druh

O - Ostatní výsledky

CEP obor

DI - Znečištění a kontrola vzduchu

OECD FORD obor

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Projekt

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Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2011

Kód důvěrnosti údajů

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