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External Data Spec

Input data for RAINS model - energy projections from national sources

External Data Spec Published 05 Jul 2010
information.png Provider:
National Sources (Austria, Denmark, France, Ireland, Italy, Latvia, Netherlands, Portugal, Slovenia, UK, Russia)
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For Russia the projections are taken from the 'Energy Strategy for Russia for the period up to the year 2020'. Ministry of Industry and Energy (MTE) (http://www.mte.gov.ru/files/103/1354.strategy.pdf ), (in Russian), Moskva, Russia, 2003

Related content

Used in indicators

Indicator Specification
Archived
APE_F01: Emissions of acidifying substances - outlook from LRTAP Definition: Emissions of acidifying pollutants tracks trends in anthropogenic emissions of acidifying substances such as nitrogen oxides, ammonia, and sulphur dioxide, each weighted by their acidifying potential. Outlook form EMEP LRTAP provides information for nitrogen oxides, sulphur dioxide and ammonia. It is presented in total volumes of pollutants from all sources by sectors: power plants, process industry, domestic, road transport, off-road, and other. Model used: GAINS/RAINS, EMEP Ownership:  UNECE Convention on Long-range Transboundary Air Pollution (LRTAP) Temporal coverage: Emissions' trends: 2000-2007, projections: 2010, 2020 Geographical coverage: EU-27: Austria, Belgium, Bulgaria, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Luxembourg, Netherlands, Portugal, Spain, Sweden, United Kingdom, Cyprus, Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, Romania, Slovakia, Slovenia; By country: Albania, Armenia, Austria, Azerbaijan, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Georgia, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kazakhstan, Latvia, Lithuania, Luxembourg, Netherlands, Norway, Poland, Portugal, Republic of Moldova, Romania, Russian Federation, Serbia and Montenegro, Slovakia, Slovenia, Spain, Sweden, Switzerland, the former Yugoslav Republic of Macedonia, Turkey, Ukraine, United Kingdom.

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For references, please go to https://www.eea.europa.eu/data-and-maps/data/external/input-data-for-rains-model-14 or scan the QR code.

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