The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 1st River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the abovementioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please use the "PUBLIC VERSION": https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b55632c-63df-4542-97f0-363dfb6d3431 for external use. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. See also https://rod.eionet.europa.eu/obligations/766 for information on the Environmental Quality Standards Directive - Preliminary programmes of measures and supplementary monitoring. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Where available, spatial data related to the 3rd RBMPs due in 2022 (hereafter WFD2022) was used to update the WFD2016 data. See https://rod.eionet.europa.eu/obligations/780 for further information on the WFD2022 reporting. Note: * This dataset has been reported by the member states. The subsequent QC revealed some problems caused by self-intersections elements. Data in GPKG-format should be processed using QGIS.
The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please use the "PUBLIC VERSION": https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0731ebf-6bcc-4afe-bab0-39e7aa88eaba for external use. The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. See also https://rod.eionet.europa.eu/obligations/766 for information on the Environmental Quality Standards Directive - Preliminary programmes of measures and supplementary monitoring. Where available, spatial data related to the 3rd RBMPs due in 2022 (hereafter WFD2022) was used to update the WFD2016 data. See https://rod.eionet.europa.eu/obligations/780 for further information on the WFD2022 reporting.
The 'GISCO NUTS 2021' data set represents the NUTS 2021 regulation and statistical regions by means of multipart polygon, polyline and point topology. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualize multipart polygonal regions. The NUTS nomenclature is a hierarchical classification of statistical regions defined by Eurostat. The NUTS classification subdivides the EU economic territory into 3 statistical levels. The NUTS 2021 classification has been established through the Commission Delegated Regulation 2019/1755, which entered into force on 8th August 2019 and applies from 1st January 2021. A non official NUTS-like classification has been defined for the EFTA countries and the candidate countries. At present, six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are maintained in the GISCO geodatabase. The polygon and boundary classes delineate the regions, while the points provide an anchor for each region. Associated tables contain basic information such as the name of the region. The public data set will be available at 1M, 3M, 10M, 20M, 60M, while the full data set at 100K is restricted. The data set covers EU Member States, EFTA countries, EU candidate countries and the UK. Following the departure of the UK from the European Union, the UK is no longer flagged as an EU Member State but retains its place in the NUTS and statistical regions data set. This dataset (NUTS_2021) is derived from the EuroBoundary Map 2020 (EBM2020) from Eurogeographics as well as GISCO NUTS 2016 (from Türkiye). The list of NUTS2021 codes including changes with respect to NUTS2016 is available on https://ec.europa.eu/eurostat/documents/345175/629341/NUTS2021.xlsx. The public metadata for NUTS 2021 released by Eurostat is available here: https://gisco-services.ec.europa.eu/distribution/v2/nuts/nuts-2021-metadata.xml. This revision (May 2021) includes minor changes in the dataset such as (see https://gisco-services.ec.europa.eu/distribution/v2/nuts/nuts-2021-release-notes.txt): * 2020-10-05 Point snapping is disabled in all datasets, number of decimals increased for 01M datasets. * 2020-11-18 Inclusion of Jan Mayen and Svalbard in to Norways Statistical Regions. Amendment to Serbia NUTS BN line status. * 2020-12-05 Fixed broken utf-8 encoding. * 2021-03-15 Added LAU 2011,2012,2013,2014,2015,2020 * 2021-04-26 Fixed country labels 2001, 2006 (incorrect Kosovo coordinates) IMPORTANT NOTE: Additional information, including the conditions of use and acknowledgement notice is included in the document provided with the dataset "GISCO NUTS 2021 Additional Information.pdf". Public access to this data set is restricted due to intellectual property rights. It shall only be used internally by the EEA, its ETCs and subcontractors working on behalf of the EEA. This metadata has been slightly adapted from the original metadata information provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview.
The Urban Waste Water Treatment Directive concerns the collection, treatment and discharge of urban waste water and the treatment and discharge of waste water from certain industrial sectors. The objective of the Directive is to protect the environment from the adverse effects of the above mentioned waste water discharges. This series contains time series of spatial and tabular data covering Agglomerations, Discharge Points, and Treatment Plants.
The Governance of the Energy Union and Climate Action ((EU) 2018/1999) requires Member States to report national projections of anthropogenic GHG emissions. Every two years, it is mandatory for EU Member States to report their GHG projections by gas (or group of gases) and by sector. On non-mandatory years, Member States are to report if there have been significant changes to their data. National projections shall take into consideration any policies and measures adopted at Union level. The reported data are quality checked by the EEA and its European Topic Centre for Climate Change Mitigation and Energy (ETC/CME). The 2024 dataset contains data up to year 2050.
The grid is based on the recommendation at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. For each country three vector polygon grid shape files, 1, 10 and 100 km, are available. The grids cover at least country borders - plus 15km buffer - and, where applicable, marine Exclusive Economic Zones v7.0 - plus 15km buffer - (www.vliz.be/vmdcdata/marbound). Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
Irrigation in the Yanqi Basin, Sinkiang, China has led to water table rise and soil salination. A model is used to assess management options. These include more irrigation with groundwater, water saving irrigation techniques and others. The model relies on input data from remote sensing.The Yanqi Basin is located in the north-western Chinese province of Xinjiang.This agriculturally highly productive region is heavily irrigated with water drawn from the Kaidu River. The Kaidu River itself is mainly fed by snow and glacier melt from the Tian Mountain surrounding the basin. A very poor drainage system and an overexploitation of surface water have lead to a series of environmental problems: 1. Seepage water under irrigated fields has raised the groundwater table during the last years, causing strongly increased groundwater evaporation. The salt dissolved in the groundwater accumulates at the soil surface as the groundwater evaporates. This soil salinization leads to degradation of vegetation as well as to a loss of arable farmland. 2. The runoff from the Bostan Lake to the downstream Corridor is limited since large amount of water is used for irrigation in the Yanqi Basin. Nowadays, the runoff is maintained by pumping water from the lake to the river. The environmental and ecological system is facing a serious threat.In order to improve the situation in the Yanqi Basin, a jointly funded cooperation has been set up by the Institute of Environmental Engineering, Swiss Federal Institute of Technology (ETH) , China Institute of Geological and Environmental Monitoring (CIGEM) and Xinjiang Agricultural University. The situation could in principle be improved by using groundwater for irrigation, thus lowering the groundwater table and saving unproductive evaporation. However, this is associated with higher cost as groundwater has to be pumped. The major decision variable to steer the system into a desirable state is thus the ratio of irrigation water pumped from the aquifer and irrigation water drawn from the river. The basis to evaluate the ideal ratio between river and groundwater - applied to irrigation - will be a groundwater model combined with models describing the processes of the unsaturated zone. The project will focus on the following aspects of research: (...)
Progress to targets for energy efficiency is a dataset under the National Energy and Climate Progress Reports (NECPRs), which is reported every second year (starting in 2023) by EU Member States. The dataset provides information regarding Member State's energy efficiency contributions and progress in achieving them. The EEA collects and quality checks this data. The dataset links to data from Eurostat regarding Primary Energy Consumption (PEC) and Final Energy Consumption (FEC). This reporting obligation comes from the Governance Regulation 2018/1999, Implementing Regulation (EU) 2022/2299 (Annex IV).
In unserem Vorhaben soll der Gehalt von Brom (Bry) und Iod (Iy) in der unteren und mittleren Stratosphäre bestimmt werden. Brom-Verbindungen sind für ca. 30% des Ozonverlusts in der Stratosphäre verantwortlich und damit ist eine regelmäßige Vermessung des stratosphärischen Bry angezeigt. Direkte Messungen in der mittlerenStratosphäre wurden aber seit 2011 nicht mehr durchgeführt. Zudem finden wir bei unseren jüngeren, flugzeuggetragenen Messungen von Bry (an Bord der NASA Global Hawk und des HALO Forschungsflugzeugs) in der tropsichen Tropopausenregion (TTL) und unteren Stratosphäre (UT/LS) etwa 2-3 ppt mehr Bry als aus lang- (Halone), mittel- (CH3Br) und kurzlebigen Bromverbindungen (VSLS) sowie deren Abbauprodukten zu erwarten ist. Die Gründe hierfür sind derzeit unklar. Unser Ziel ist es, die Messzeitreihe von Bry in der unteren und mittleren Stratosphäre wiederaufzunehmen und die entsprechenden Trends zu evaluieren. Insbesondere wollen wir untersuchen, ob die erhöhten Konzentrationen von Bry in der TTL mit Bry in der Stratosphäre kompatibel sind und was die Gründe für mögliche Differenzen sind. In Bezug of Iy weisen unsere früherenBeobachtungen auf Konzentrationen unterhalb der Nachweisgrenze hin, aber auch diese Untersuchungen liegen mehr als eine Dekade zurück. Neuere Arbeiten schlagen vor, dass die Bildung von höheren Iodoxiden zu einer Revision der bisher angenommenen Photochemie von Iod in der Stratosphäre führt, so dass ein erneuertes Interesse anstratosphärischem Iod besteht. Mit begrenztem zusätzlichem Aufwand wollen wir hier auch den Iy Gehalt (oder die entsprechenden Höchstgrenzen) in der Stratosphäre vermessen. Die Messungen sollen von einem Höhenforschungsballon (Steighöhe 30-38 km) aus mittels etablierter spektroskopischer Methoden in Sonnen-Okkultationsgeometrie durchgeführt werden. Es sind zwei Messflüge für Sommer 2021 von Kiruna, Schweden, und für Sommer 2022 von Timmins, Canada, aus geplant. Die Flüge und Kampagnen selbst werden durch die EU Infrastruktur HEMERA gefördert.
Introduction: By 2020, the community Wuestenrot wants to cover its energy needs through the utilization of renewable energy sources, such as biomass, solar energy, wind power and geothermal energy, within the town area of 3000 hectares. In order to elaborate a practicable scheme for realizing this idea in a 'real' community and to develop a roadmap for implementation, the project 'EnVisaGe' under the leadership of the Stuttgart University of Applied Sciences (HFT Stuttgart) was initiated. Accompanying particular demonstration projects are a) the implementation of a plus-energy district with 16 houses connected to a low exergy grid for heating and cooling, b) a biomass district heating grid with integrated solar thermal plants. Project goal: The aim of the project is to develop a durable roadmap for the energy self-sufficient and energy-plus community of Wüstenrot. The roadmap shall be incorporated in an energy usage plan for the community, that shall be implemented by 2020 and brings Wüstenrot in an energy-plus status on the ecobalance sheet. A main feature within the EnVisaGe project is the implementation of a 14,703-m2 energy-plus model district called 'Vordere Viehweide'. It consists of 16 residential houses, supplied by a cold local heating network connected to a large geothermal ('agrothermal') collector. Here PV systems for generating electricity are combined with decentralised heat pumps and thermal storage systems for providing domestic hot water as well as with batteries for storing electricity. Another demonstration project is a district heating grid fed by biomass and solar thermal energy in the neighbourhood 'Weihenbronn'. It's based on a formerly oil-fired grid for the town hall and was extended to an adjacent residential area.
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