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CH4 emissions are total emissions (IPPC sectors 1–7) excluding sector 5, LULUCF (land use, land use change and forestry).
This figure shows the sectoral output of primary PM and precursor gases Various source sectors contribute to the primary anthropogenic PM and precursor gases
Emissions of primary PM fell in the EU by 14 % for PM10 and 16 % for PM2.5 between 2002 and 2011. The reductions in the same period for the 32 EEA member countries were 9 % for PM10 and also 16 % for PM2.5.
The graph is based on the 90.41 percentile of PM10 daily mean concentration values corresponding to the 36th highest daily mean for each Member State; the boxes present the range of concentrations at all stations types (in μg/m3) officially reported by the EU Member States and how the concentrations relate to the limit value set by EU legislation (marked by the red line). The diagram indicates the lowest and highest observations, the means and the lower and upper quartiles. The lower quartile splits the lowest 25 % of the data and the upper quartile splits the highest 25 % of the data. The graph is based on PM2.5 annual mean concentration values; they present the range of concentrations at all stations types (in μg/m3) officially reported by the EU Member States and how the concentrations relate to the target value set by EU legislation (marked by the red line). The diagram indicates the lowest and highest observations, the means and the lower and upper quartiles. The lower quartile splits the lowest 25 % of the data and the upper quartile splits the highest 25 % of the data. The graph is based on the 93.15 percentile of maximum daily 8-hour mean concentration values corresponding to the 26th highest daily maximum of the running 8-h mean for each Member State; the boxes present the range of concentrations at all stations types (in μg/m3) officially reported by the EU Member States and how the concentrations relate to the target value set by EU legislation (marked by the red line). The diagram indicates the lowest and highest observations, the means and the lower and upper quartiles. The lower quartile splits the lowest 25 % of the data and the upper quartile splits the highest 25 % of the data.
Only urban and sub-urban background monitoring stations have been included in the calculations. Data for Cyprus, Denmark, Greece and Malta, are not included due to missing availability of operational urban and sub-urban background monitoring stations in the Urban Audit cities.
The limit value is 125 µg SO2/m3 as a daily average, not to be exceeded more than three days in a year. Over the years 2001-2009 the total population for which exposure estimates are made, increased from 85 to 100 million people due to an increasing number of monitoring stations reporting under the Exchange of Information Decision. Year-to-year variations in exposure classes are partly caused by the changes in spatial coverage. Only urban and sub-urban background monitoring stations have been included in the calculations. Data for Cyprus, Denmark, Greece and Malta, are not included due to missing availability of operational urban and sub-urban background monitoring stations in the Urban Audit cities.
The target value is 120 µg O3/m3 as daily maximum of 8 hour mean, not to be exceeded more than 25 days per calendar year, averaged over three years and to be achieved where possible by 2010. Over the years 2001-2010 the total population for which exposure estimates are made, increased from 88 to 118 million people due to an increasing number of monitoring stations reporting under the Exchange of Information Decision. Year-to-year variations in exposure classes are partly caused by the changes in spatial coverage. Only urban and sub-urban background monitoring stations have been included in the calculations. Data for Cyprus, Greece and Malta is not included due to missing availability of operational urban and sub-urban background monitoring stations in the Urban Audit cities.
The annual mean limit value is 40 µg NO2/m3. Over the years 2001-2010 the total population, for which exposure estimates are made, increased from 93 to 124 million people due to an increasing number of monitoring stations reporting air quality data under the Exchange of Information Decision. Year-to-year variations in exposure classes are partly caused by the changes in spatial coverage. Only urban and sub-urban background monitoring stations have been included in the calculations. Data for Cyprus, Greece and Malta, are not included due to missing availability of operational urban and sub-urban background monitoring stations in the Urban Audit cities.
This figure illustrates the percentage population in Norhern European countries connected to a waste water collection and treatment systems (UWWTPs) over the period 1980 to 2009. In addition, a breakdown by treatment type is portrayed.
The list of projects is drawn from an unpublished report prepared for the EEA by members of the Swedish University of Agricultural Sciences (SLU). Some more examples were added as a result of a questionnaire sent to all partners of the European Topic Centre on Biological Diversity (ETC/BD). An EIONET consultation provided more information that was further enlarged by ETC/BD partner European Centre for Nature Conservation (ECNC).
This data visualisation shows the total of released data envelopes via Reportnet (Eionet's data flow system). The charts are updated automatically by querying Content Registry.
Fluorinated greenhouse gases (f-gases) covered by the UNFCCC’s Kyoto Protocol comprise hydrofluorocarbons (HFCs), perfluorocarbons (PFCs) and sulphur hexafluoride (SF6). The graphs present the quantities of f-gases reported under different type of activities for years 2007-2011, based on the information submitted by undertakings under Regulation (EC) No 842/2006 (F-Gas Regulation). In cases where less than three companies have reported for the particular year on the specific type of gases, or where there is a lack of detailed information, the aggregated quantities are provided in the 'Unspecified mix of f-gases' totals.
The graph presents the ‘environmentally compatible’ energy cropping data and scenario developed by the EEA for 2020.
The schema shows how resource efficiency relates to the use of natural capital and ecosystem resilience.
The chema outlines critical factors for the overall environmental performance of bioenergy and how the resource efficiency concept can be applied for environmental assessment.
The schema shows the most common biomass categories derived from agriculture, forests and wastes, and the conversion routes that are expected to become economic by 2020.
The figure shows the differences in terms of the contribution to the overall EU domestic agricultural potential.
For references, please go to https://www.eea.europa.eu/data-and-maps/find/global or scan the QR code.
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