Sub-grid variability and its impact on European wide air quality exposure assessment

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00020699%3A_____%2F11%3A%230000590" target="_blank" >RIV/00020699:_____/11:#0000590 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.sciencedirect.com/science/article/pii/S135223101100479" target="_blank" >http://www.sciencedirect.com/science/article/pii/S135223101100479</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.atmosenv.2011.05.007" target="_blank" >10.1016/j.atmosenv.2011.05.007</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Sub-grid variability and its impact on European wide air quality exposure assessment

Popis výsledku v původním jazyce

Estimates of population exposure to air pollution on the European scale are required for policy development and health impact assessment. Long term exposure estimates of this type can be made using spatially distributed air quality and population densitydata. Gridded chemical transport models (CTMs) are often used for this purpose, however the grid resolution of CTMs that cover entire continents is usually limited to 25?100 km and there may be a significant level of unresolved variability within the grids that will impact on the exposure estimates. In this paper sub-grid variability and its impact on long term exposure estimates is assessed by investigating the covariance of concentration and population, which is shown to be the defining term in estimating the average sub-grid population exposure. A parameterisation of the sub-grid covariance is described, based on the sub-grid covariance of other proxy data, and this is applied using EMEP model results for all of Europe. The study sh

Název v anglickém jazyce

Sub-grid variability and its impact on European wide air quality exposure assessment

Popis výsledku anglicky

Estimates of population exposure to air pollution on the European scale are required for policy development and health impact assessment. Long term exposure estimates of this type can be made using spatially distributed air quality and population densitydata. Gridded chemical transport models (CTMs) are often used for this purpose, however the grid resolution of CTMs that cover entire continents is usually limited to 25?100 km and there may be a significant level of unresolved variability within the grids that will impact on the exposure estimates. In this paper sub-grid variability and its impact on long term exposure estimates is assessed by investigating the covariance of concentration and population, which is shown to be the defining term in estimating the average sub-grid population exposure. A parameterisation of the sub-grid covariance is described, based on the sub-grid covariance of other proxy data, and this is applied using EMEP model results for all of Europe. The study sh

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

DI - Znečištění a kontrola vzduchu

OECD FORD obor

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Projekt

—

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

Název periodika

Atmospheric Environment

ISSN

1352-2310

e-ISSN

—

Svazek periodika

45

Číslo periodika v rámci svazku

25

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

4220-4229

Kód UT WoS článku

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EID výsledku v databázi Scopus

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