Do something for our planet, print this page only if needed. Even a small action can make an enormous difference when millions of people do it!
A compiled dataset on renewable energy trajectories extracted from the submissions of the Member States to the European Commission, and an accompanying document which summarises the main points of the data.
Land cover changes in Liechtenstein remained below the detection level of Corine Land Cover change methodology. In some large countries, dates of satellite images for regions may differ by several years
Land cover changes in Liechtenstein remained below the detection level of Corine Land Cover change methodology. In some large countries, dates of satellite images for regions may differ by several years
Origin of land uptake as % of total uptake
Drivers of urban land development ha/year In some large countries, dates of satellite images for regions may differ by several years
The figure show the greenhouse gas emissions as tonnes CO2 - equivalent per person by country
The map show the marine aquaculture production relative to coastline length
-
Percentage share of land freight transport between road and rail transport mode for EU12, EU15 and combined EU27.
Trends in air passenger transport demand and GDP. The two curves show the development in GDP and air passenger transport volumes, while the columns show the level of annual decoupling. Green indicates faster growth in GDP than in transport while red indicates stronger growth in transport than in GDP. Aviation passenger demand data are provisional estimates from the European Commission DG MOVE for domestic and intra-EU27 aviation. GDP data for Lichtenstein is not included as it is not available. The ratio of annual growth of passenger transport to GDP, measured in 2000 prices, determines the amount of coupling between GDP and transport. The decoupling indicator, depicted by the green bars, is calculated as unity minus the coupling ratio; so a positive score indicates decoupling (i.e. transport demand grows less slowly than GDP), with a negative score showing the opposite (i.e. transport demand outpaces GDP growth)
The graph shows the change in energy-related emissions of ozone precursors (NOx, NMVOC, CO and CH4) each weighted by an ozone formation factor prior to aggregation to represent their respective ozone forming potentials. The relative impact of the combined contribution of NOx, NMVOC, CO and CH4 to ozone formation can be assessed based on their tropospheric ozone forming potentials (TOFP): nitrogen oxides 1.22, non-methane volatile organic compounds 1.0, carbon monoxide 0.11 and methane 0.014 (de Leeuw 2002).
The emissions of ozone precursors (NOx, NMVOC, CO and CH4) are each weighted by an ozone formation factor prior to aggregation to represent their respective ozone forming potentials. The relative impact of the combined contribution of NOx, NMVOC, CO and CH4 to ozone formation can be assessed based on their tropospheric ozone forming potentials (TOFP): nitrogen oxides 1.22, non-methane volatile organic compounds 1.0, carbon monoxide 0.11 and methane 0.014.
The graph above shows the emissions of ozone precursors (methane CH4; carbon monoxide CO; non-methane volatile organic compounds NMVOCs; and nitrogen oxides NOx) each weighted by a factor prior to aggregation to represent their respective tropospheric ozone formation potential (TOFP). The TOFP factors are: NOx 1.22, NMVOC 1, CO 0.11 and CH4 0.014 (de Leeuw 2002). Results are expressed in NMVOC equivalents (kilotonnes - kt). Data not available for Iceland (emissions of CO, NMVOC, NOx were not reported) and Malta (CO). 'Energy combustion' includes all energy-related emissions minus fugitive.
Emissions intensity is calculated as the amount of pollutant produced (in tonnes) from public electricity and heat production divided by the output of electricity and heat (in toe) from these plants.
Station pairs from capital cities were preferred, but when not available the next largest city for which data was available was chosen
Station pairs from capital cities were preferred, but when not available the next largest city for which data was available was chosen
The ‘pH’ is a measure of acidity – the lower the number the more acidic the ocean becomes. On a geological timescale, ocean pH has been relatively stable. Recently, oceans have been acidifying fast and this is projected to continue at a rate unprecedented for millions of years.
Total GHG emissions in EU-15 and EU-27 in Mt CO2-equivalent
Observed and projected Arctic September sea-ice extent
For references, please go to https://www.eea.europa.eu/data-and-maps/find/global or scan the QR code.
PDF generated on 21 Jul 2024, 10:19 PM
Engineered by: EEA Web Team
Software updated on 26 September 2023 08:13 from version 23.8.18
Software version: EEA Plone KGS 23.9.14