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News
The annual EU-27 emission inventory reported to the United Nations Economic Commission for Europe (UNECE) Long-range Transboundary Air Pollution (LRTAP) Convention confirms a long-term trend of decline for most air pollutants.
Sulphur oxide (SOx) emissions have fallen the most since 1990 (–80 %), followed by carbon monoxide (CO) (–62 %), non-methane volatile organic compounds (NMVOCs) (–55 %) and nitrogen oxides (NOx)(–44 %).
For several pollutants the decline was particularly sharp between 2008 and 2009. For example, SOx emissions fell by 21 % mainly as a result of the economic recession which led to reduced energy demand and hence lower emissions from public power plants in Bulgaria, Poland, Romania and Spain. Similarly, emissions of other key pollutants from the electricity generating sector also fell significantly in 2009 – for example, NOx and primary particulate matter (PM) both by around 10 % between 2008 and 2009.
However, it is worth noting that although emissions within the EU have fallen significantly, air quality can still be quite low, particularly in urban areas.
The Convention on Long-range Transboundary Air Pollution (LRTAP) aims to limit and, as far as possible, gradually reduce and prevent air pollution including long-range transboundary air pollution. The 51 Parties of the Convention, including the EU, are obliged to report emissions data for a large number of air pollutants. The main air pollutants and their effect on human health and the environment are listed here.
The EEA assists the EU by preparing the emissions inventory to be reported under the LRTAP Convention each year.
The EEA publishes the data from the inventory report in the air pollutant emissions data viewer, a searchable web-based interface that simplifies access and analysis. The data viewer shows emission trends and graphics for the main sectors and allows comparison of emissions from different countries and activities.
For references, please go to https://eea.europa.eu./highlights/recession-contributes-to-air-pollutant or scan the QR code.
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