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Waterbase - UWWTD: Urban Waste Water Treatment Directive – reported data

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.

WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2016 - INTERNAL VERSION - version 1.7, Jul. 2024

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.

G8 Climate Scorecards

The report concludes with a global cumulative GHG emission cap for the period from 2010 till 2050. It outlines mid-term and long-term cumulative emission allowances for key countries under the three equity approaches and trajectories for these countries to keep global warming below 2 degrees Celsius. The objective of the report is to initiate a constructive debate among and foster long-term commitments of the parties while moving towards a fair, ambitious and binding Copenhagen agreement. The report was written on request of WWF.

WISE WFD Quality Elements status reported under Water Framework Directive 2016

The service contains information about the ecological status or potential of European surface water bodies, delineated for the 2nd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD). The Quality Element status is the poorest of the known quality element status values per water body. For example, the nutrient conditions status (QE3-1-6) is based on the following two quality elements: Nitrogen conditions (QE3-1-6-1) and Phosphorus conditions (QE3-1-6-2). The ecological status or potential is presented for the following quality elements: QE1 - Biological quality elements; QE1-1 - Phytoplankton; QE1-2 - Other aquatic flora; QE1-2-1 - Macroalgae; QE1-2-2 - Angiosperms; QE1-2-3 - Macrophytes; QE1-2-4 - Phytobenthos; QE1-3 - Benthic invertebrates; QE1-4 - Fish; QE2 - Hydromorphological quality elements; QE2-1 - Hydrological or tidal regime; QE2-2 - River continuity conditions; QE2-3 - Morphological conditions; QE3 - Chemical and physico-chemical quality elements; QE3-1 - General parameters; QE3-1-1 - Transparency conditions; QE3-1-2 - Thermal conditions; QE3-1-3 - Oxygenation conditions; QE3-1-4 - Salinity conditions; QE3-1-5 - Acidification status; QE3-1-6 - Nutrient conditions; QE3-1-6-1 - Nitrogen conditions; QE3-1-6-2 - Phosphorus conditions; QE3-3 - River Basin Specific Pollutants. 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. Relevant concepts: Surface water body: Body of surface water means a discrete and significant element of surface water such as a lake, a reservoir, a stream, river or canal, part of a stream, river or canal, a transitional water or a stretch of coastal water. Surface water: Inland waters, except groundwater; transitional waters and coastal waters, except in respect of chemical status for which it shall also include territorial waters. Inland water: All standing or flowing water on the surface of the land, and all groundwater on the landward side of the baseline from which the breadth of territorial waters is measured. River: Body of inland water flowing for the most part on the surface of the land but which may flow underground for part of its course. Lake: Body of standing inland surface water. Transitional waters: Bodies of surface water in the vicinity of river mouths which are partly saline in character as a result of their proximity to coastal waters but which are substantially influenced by freshwater flows. Coastal water: Surface water on the landward side of a line, every point of which is at a distance of one nautical mile on the seaward side from the nearest point of the baseline from which the breadth of territorial waters is measured, extending where appropriate up to the outer limit of transitional waters.

Model Output Statistics for VALLEY (03302)

DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]

GISCO - Nomenclature of Territorial Units for Statistics 2021 (NUTS 2021), May 2021

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.

Tidal Subsurface Analysis (TSA): Using Earth and atmospheric tides to quantify subsurface hydro-geomechanical properties

Groundwater resources underpin ecosystems and human activities, yet their continued global depletion deteriorates water quality and ecology due to baseflow reduction and causes land subsidence and seawater intrusion. Accurate quantification of groundwater flow and storage changes is critical to enable adaptive resource management, for example through assessing potential impacts from over-extraction and determining sustainable yields. This necessitates an increase in knowledge of the spatial distribution of subsurface properties. Current groundwater investigation methods (e.g. pump testing) require high effort and are costly to conduct, restricting the rate and frequency of testing thus resulting in spatially limited outcomes. This project will establish Tidal Subsurface Analysis (TSA) as a novel methodology to quantify subsurface hydro-geomechanical properties such as transmissivity, permeability, specific storage, porosity, compressibility and/or bulk modulus. TSA utilises the groundwater response to the ubiquitous and predictable Earth and atmospheric tides which is contained in existing measurements. TSA will be developed by unifying the theories of existing approaches that have successfully quantified individual subsurface properties using the groundwater response to Earth tides or barometric loading. Next, the influence of geological heterogeneity on properties quantified using TSA will be evaluated using a combination of numerical modelling and field data from locations in the United Kingdom and Australia where the subsurface has been well characterised. Finally, TSA will be validated by comparing each of the quantified hydro-geomechanical properties with values derived from established hydrogeological or geophysical investigation techniques, such as pump testing, geophysical logging or sediment coring. Because it is a passive approach, it will overcome many of the limitations inherent to active hydraulic subsurface investigations. It is anticipated that TSA will shift the paradigm about how groundwater and atmospheric measurements are used and add significant value to monitoring programs, enhancing resource management decisions and improving implementation of the EU Water Framework Directive.

Concentrations of heavy metals in European agricultural soils, Oct. 2020

This data set contains current and critical metal concentrations and its exceedances in topsoils, as well as data related to the current and critical metal inputs to and outputs from soils (uptake, accumulation and leaching) and the resulting exceedances of critical metal inputs. This data set has been compiled by the European Topic Centre on Urban, Land and Soil Systems (ETC/ULS) in the context of a study on metal and nutrient dynamics where the fate and dynamics of the most abundant heavy metals and nutrients in agricultural soils were investigated. The purpose of this study was to investigate the impacts of agricultural intensification in Europe, and to understand its environmental impact. Metal concentrations in soils were used from two consecutive Europe-wide geochemical surveys, sampled in 1998 (FOREGS survey) and 2009 (GEMAS survey). For land use, the 2010 Eurostat data were used. The metals included in this data set are cadmium (Cd), copper (Cu), lead (Pb) and zinc (Zn). The results on the fate of Nitrogen (N) and Phosphorus (P) are included in a separate dataset. Cu and Zn are minor nutrients but at high inputs, they may cause adverse impacts on soil biodiversity, whereas Cd and Pb are toxic metals that may lead to soil degradation, by both affecting soil biodiversity and food quality. Metal budgets based on spatially explicit input and output data were calculated using the INTEGRATOR model; approximately 40,000 so-called NCUs as unique combinations of soil type, administrative region, slope class and altitude class were used. Available critical limits for food, water and soil organisms, from different existing regulations and studies, were converted to soil property-dependent critical metal concentrations (soil-based quality standards), which were then used to calculate critical metal inputs. The results allow for the first time to identifying spatial hot spots for critical environmental impact of soil pollution for the four most abundant heavy metals. It thus informs policy processes important for planning and guiding sustainable agriculture and soil management. The work is methodologically novel, as it applies endpoint risk to thresholds in soils, and thus guides future impact studies. Updates with more recent land use and soil data are now possible. The description of the included model results and the reference report is provided under "lineage". The data set is provided as SHP and also in a GDB, the latter including as well the N and P concentrations. An Excel file "Metadata heavy metals nutrients.xlsx" with the attribute metadata is provided with the data set.

Forschergruppe (FOR) 2332: Temperature-related stresses as a unifying principle in ancient extinctions (TERSANE), Teilprojekt: Entwicklung benthischer, mariner Faunen SW-Europas unter klimatischem Stress während des Unteren Jura (Pliensbach-Toarc) (EvoBiv)

Die globale Klimaerwärmung und damit assoziierte Stressfaktoren, insbesondere Sauerstoffverknappung und Ozeanversauerung, sind mitverantwortlich für die Verarmung vieler heutiger mariner Ökosysteme. Die geologische und fossile Überlieferung beinhaltet ein Archiv vergangener Phasen des Klimawandels und seiner Auswirkungen auf die Zusammensetzung, ökologische Funktionsweise und evolutionäre Dynamik mariner Faunen und erlaubt damit Aussagen zu langfristigen biotischen Veränderungen als Reaktion auf temperatur-gesteuerten Stress (TRS). Im beantragten Projekt soll dies für die mit einem Massenaussterben einhergehende Klimaerwärmung im Unteren Toarc (Unterer Jura, ca. 183 Millionen Jahre vor heute) in ausgewählten Profilen SW-Europas untersucht werden. Ziel ist es, mit einem interdisziplinären Forschungsansatz eine Verbindung zwischen wichtigen Umweltfaktoren (abgeleitet aus geochemischen Proxy-Daten und sedimentärer Fazies) und dem quantitativen Auftreten makrobenthischer Faunen (vor allem Muscheln und Brachiopoden) herzustellen, die ihrerseits eine große ökologische Bandbreite an Lebensweisen, Ernährungsweisen, Körpergrößen und Mobilitätsniveaus repräsentieren. Durch die Anwendung physiologischer Prinzipien soll die relative Bedeutung einzelner Umweltfaktoren (Temperaturextreme, Sauerstoffmangel, Ozeanversauerung) auf die Faunenentwicklung ermittelt und verstanden werden. Darüber hinaus untersuchen wir, inwieweit eine Reduktion der Schalengrößen ein erstes Anzeichen von bevorstehenden Veränderungen auf Gemeinschaftsebene darstellt, und ob großwüchsige Arten besonders von TRS betroffen waren. Schließlich untersuchen wir, ob der Verlauf der ökologischen Erholung von TRS spiegelbildlich zur ökologischen Degradierung durch TRS ablief oder davon unabhängig. Solch ein unabhängiger, hysteresis-artiger Verlauf, der in einen alternativen ökologischen Zustand mündet, ist von einigen heutigen aquatischen Ökosystemen bekannt.

Noise data reported under Environmental Noise Directive (END)

The datasets includes 1) the noise exposure data, 2) the noise contours data, 3) razterized noise contours data and 4) potential quiet areas all under the terms of the Environmental Noise Directive (END). Data covers the EEA32 member countries and the United Kingdom (excluding Turkey for the third round of noise mapping in 2017).

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