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Modelled deposition estimates for sulphur and nitrogen from the EMEP Unified Model on the standard EMEP grid resolution of approx 50km x 50km

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Prod-ID: DAT-28-en
Created 01 Jan 2002 Published 01 Jan 2002 Last modified 27 Apr 2017
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Used in indicators

Indicator Specification
Archived
Exposure of ecosystems to acidification, eutrophication and ozone (version 1) The indicator shows the ecosystem or crops areas at risk of exposure to harmful effects of acidification, eutrophication and ozone as a consequence of air pollution, and shows the state of change in acidification, eutrophication and ozone levels of the European environment. The risk is estimated by reference to the 'critical load' for acidification and eutrophication and 'critical level' for ozone for each location, this being a quantitative estimate of the exposure to these pollutants below which significant and harmful such effects do not occur in the long term at present knowledge. Two critical loads, for acidity and for nutrient nitrogen, are employed to describe exposure to acidification and to eutrophication respectively. The area over which the deposition of acidifying and eutrophying pollutants is in exceedance of critical loads provides an indication of the ecosystem area in which such damage could occur. The magnitude of the potential risk is displayed as the percentage of total ecosystem areas exposed to exceedence of these critical loads.  By showing the change in risk over time, the state of change in acidification and eutrophication is displayed. By including the risk to be met within a legislative target and year the distance from this target is displayed. The fraction of agricultural crops  that is potentially exposed to ambient air concentrations of ozone in excess of the EU target value set for the protection of vegetation is also shown.

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For references, please go to https://www.eea.europa.eu/data-and-maps/data/modelled-deposition-estimates-for-sulphur-and-nitrogen-from-the-emep-unified-model-on-the-standard-emep-grid-resolution-of-approx-50km-x-50km or scan the QR code.

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