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InSpEE (INSPIRE) provides information about the areal distribution of salt structures (salt domes and salt pillows) in Northern Germany. Contours of the salt structures can be displayed at horizontal cross-sections at four different depths up to a maximum depth of 2000 m below NN. The geodata have resulted from a BMWi-funded research project “InSpEE” running from the year 2012 to 2015. The acronym stands for "Information system salt structures: planning basis, selection criteria and estimation of the potential for the construction of salt caverns for the storage of renewable energies (hydrogen and compressed air)”. Additionally four horizontal cross-section maps display the stratigraphical situation at a given depth. In concurrence of maps at different depths areal bedding conditions can be determined, e.g. to generally assess and interpret the spread of different stratigraphic units. Clearly visible are extent and shape of the salt structures within their regional context at the different depths, with extent and boundary of the salt structures having been the main focus of the project. Four horizontal cross-section maps covering the whole onshore area of Northern Germany have been developed at a scale of 1:500.000. The maps cover the depths of -500, -1000, -1500, -2000 m below NN. The four depths are based on typical depth requirements of existing salt caverns in Northern Germany, mainly related to hydrocarbon storage. The shapes of the structures show rudimentary information of their geometry and their change with depths. In addition they form the starting point for rock mechanical calculations necessary for the planning and construction of salt caverns for storage as well as for assessing storage potentials. The maps can be used as a pre-selection tool for subsurface uses. It can also be used to assess coverage and extension of salt structures. Offshore areas were not treated within the project. All horizontal cross-section maps were adjusted with the respective state geological survey organisations. According to the Data Specification on Geology (D2.8.II.4_v3.0) the content of InSpEE (INSPIRE) is stored in 15 INSPIRE-compliant GML files: InSpEE_GeologicUnit_Salt_structure_types.gml contains the salt structure types (salt domes and salt pillows), InSpEE_GeologicUnit_Salt_pillow_remnants.gml comprises the salt pillow remnants, InSpEE_GeologicUnit_Structure_building_salinar.gml represents the structural salinar(s), the four files InSpEE_Structural_outlines_500.gml, InSpEE_Structural_outlines_1000.gml, InSpEE_Structural_outlines_1500.gml and InSpEE_Structural_outlines_2000.gml represent the structural outlines in the corresponding horizontal cross-sections, the four files InSpEE_GeologicUnit_Cross_Section_500, InSpEE_GeologicUnit_Cross_Section_1000, InSpEE_GeologicUnit_Cross_Section_1500 and InSpEE_GeologicUnit_Cross_Section_2000 display the stratigraphical situation in the corresponding horizontal cross-sections and the four files InSpEE_GeologicStructure_500.gml, InSpEE_GeologicStructure_1000.gml, InSpEE_GeologicStructure_1500.gml and InSpEE_GeologicStructure_2000.gml comprise the relevant fault traces in the corresponding horizontal cross-sections. The GML files together with a Readme.txt file are provided in ZIP format (InSpEE-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML files content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.
Climate change-driven deglaciation and erosion in high-latitude regions enhance the flux of terrigenous material to the coastal ocean. Newly exposed land surfaces left behind by retreating glaciers are covered by glacial till, which is rich in fine-grained minerals. Many of these minerals are undersaturated in seawater and thus prone to dissolution (i.e., seafloor weathering). Consequently, intensified erosion and mineral weathering may act as an additional CO₂ sink while supplying alkalinity to coastal waters. To evaluate this hypothesis, we carried out a sediment geochemical study in the southwestern Baltic Sea, where coastal erosion of glacial till is the dominant source of terrigenous material to offshore depocenters. We analyzed glacial till from coastal cliffs, sediments, and pore waters for major element composition using inductively coupled plasma optical emission spectroscopy and an elemental analyzer. Water samples were further analyzed for dissolved redox species and dissolved silica by photometry and ion chromatography. These data were then used to quantify mineral dissolution and precipitation processes and to assess their net effect on inorganic carbon cycling.
Coastal ecosystems are heterogeneous environments with high turnover rates of carbon and nutrients that influence the distribution of greenhouse gases (GHG). They also represent challenging environments for scientific investigations, requiring new technologies that go beyond discrete sampling. Here we present temporal high-resolution measurements of several physicochemical variables, including the partial pressures of CO2 and CH4, made in shallow waters at around 6 m water depth of the Baltic Sea using two autonomous lander systems. The two landers were deployed at the sediment-water interface (bottom lander) and about 400 m offshore near the German city Rostock with support from the buoy tender “Rosenort” operated by the Wasserstraßen- und Schifffahrtsverwaltung des Bundes, Stralsund (WSA Stralsund). These landers were equipped with six commercially available state-of-the-art sensors. Field data resolution ranged from 10 seconds to 60 minutes and was obtained for partial pressure of CO2 (Contros HydroC-CO2) and CH4 (Contros HydroC-CH4), temperature, salinity, depth (hydrostatic pressure), O2 (CTD-O2 with SBE-37SMP-ODO), the concentrations of phosphate (SBE HydroCycle PO4), nitrate (SBE SUNA V2), chlorophyll a and the turbidity (both with SBE-FLNTUSB ECO) as stationary measurements at two different locations in close proximity. The CTD and oxygen measurements provide exact water depth data for the respective lander locations. In the other data sets (e.g., CO2 measurements) rounded data is inserted instead of the exact depth data, which is 6 m for lander_1 and 5 m for lander_2. The deployment and recovery of the landers and thus the measurements took place between 04 September 2019 and 04 October 2019 and the sensors were operated under battery power and a centralized timestamp. Three events common to coasts were observed during the deployment, allowing tracking of (1) an advection of saline waters with a mineralization signal, (2) a storm event of about 4 days, and (3) a stagnation event. Sensor data and processed data are available in separate files.
Dieser Datensatz enthält Windkraftanlagen der Küsten-Bundesländer. Hierfür werden wöchentlich aktuelle Daten der Stromerzeugungseinheiten aus dem Marktstammdatenregister (MaStR) heruntergeladen und als Geodaten-Dienst (WMS und WFS) bereitgestellt. Der Energie-Anlagen-Dienst enthält außerdem Windkraftanlagen Offshore und an Land (5 km landeinwärts) und PV-Anlagen (Küste). Alle Anlagen werden erst ab einer bestimmten Zoom-Stufe sichtbar. Quelle: MaStR. In den Anlagen-Attributen ist auch die MaStR-Nr. (SEE) enthalten, mit welcher unter folgender URL (über die "Schnellsuche") weitere Anlagen-Informationen angezeigt werden können: https://www.marktstammdatenregister.de/MaStR. Bei Daten-Fehlern wenden Sie sich bitte an die Bundesnetzagentur (BNetzA).
Dieser Datensatz enthält Windkraftanlagen Offshore und an Land (5 km landeinwärts). Hierfür werden wöchentlich aktuelle Daten der Stromerzeugungseinheiten aus dem Marktstammdatenregister (MaStR) heruntergeladen und als Geodaten-Dienst (WMS und WFS) bereitgestellt. Die Offshore-WEA werden auch geclustert mit der Anlagen-Anzahl angezeigt. Alle Anlagen werden erst ab einer bestimmten Zoom-Stufe sichtbar. Der Energie-Anlagen-Dienst enthält ausserdem WEA der Küstenländer und PV-ANlagen. Quelle: MaStR. In den Anlagen-Attributen ist auch die MaStR-Nr. (SEE) enthalten, mit welcher unter folgender URL (über die "Schnellsuche") weitere Anlagen-Informationen angezeigt werden können: https://www.marktstammdatenregister.de/MaStR. Bei Daten-Fehlern wenden Sie sich bitte an die Bundesnetzagentur (BNetzA).
Dieser Datensatz enthält PV-Anlagen-Layer mit einer Leistung > 100kWh an der Küste. Hierfür werden wöchentlich aktuelle Daten der Stromerzeugungseinheiten aus dem Marktstammdatenregister (MaStR) heruntergeladen und als Geodaten-Dienst (WMS und WFS) bereitgestellt. Der Energie-Anlagen-Dienst enthält außerdem Windkraftanlagen (WEA) Offshore und an Land (5 km landeinwärts) sowie WEA der Küsten-Bundesländer. Alle Anlagen werden erst ab einer bestimmten Zoom-Stufe sichtbar. Quelle: MaStR. In den Anlagen-Attributen ist auch die MaStR-Nr. (SEE) enthalten, mit welcher unter folgender URL (über die "Schnellsuche") weitere Anlagen-Informationen angezeigt werden können: https://www.marktstammdatenregister.de/MaStR. Bei Daten-Fehlern wenden Sie sich bitte an die Bundesnetzagentur (BNetzA).
Dieser Dienst stellt Windkraftanlagen (Offshore und Küste) sowie PV-Anlagen dar. Hierfür werden wöchentlich aktuelle Daten der Stromerzeugungseinheiten aus dem Marktstammdatenregister (MaStR) heruntergeladen und als Geodaten-Dienst (WMS und WFS) bereitgestellt. Der Dienst beinhaltet einen Layer mit Windkraftanlagen (WEA) Offshore und an Land (5 km landeinwärts) sowie einen Layer mit allen Windkraftanlagen der Küsten-Bundesländer. Die Offshore-WEA werden auch geclustert mit der Anlagen-Anzahl angezeigt. Zusätzlich gibt es einen PV-Anlagen-Layer mit einer Leistung > 100kWh. Alle Anlagen werden erst ab einer bestimmten Zoom-Stufe sichtbar. Quelle: MaStR. In den Anlagen-Attributen ist auch die MaStR-Nr. (SEE) enthalten, mit welcher unter folgender URL (über die "Schnellsuche") weitere Anlagen-Informationen angezeigt werden können: https://www.marktstammdatenregister.de/MaStR. Bei Daten-Fehlern wenden Sie sich bitte an die Bundesnetzagentur (BNetzA).
The WMS InSpEE (INSPIRE) provides information about the areal distribution of salt structures (salt domes and salt pillows) in Northern Germany. Contours of the salt structures can be displayed at horizontal cross-sections at four different depths up to a maximum depth of 2000 m below NN. The geodata have resulted from a BMWi-funded research project “InSpEE” running from the year 2012 to 2015. The acronym stands for "Information system salt structures: planning basis, selection criteria and estimation of the potential for the construction of salt caverns for the storage of renewable energies (hydrogen and compressed air)”. Taking into account the fact that this work was undertaken at a scale for providing an overview and not for investigation of single structures, the scale of display is limited to a minimum of 1:300.000. Additionally four horizontal cross-section maps display the stratigraphical situation at a given depth. In concurrence of maps at different depths areal bedding conditions can be determined, e.g. to generally assess and interpret the spread of different stratigraphic units. Clearly visible are extent and shape of the salt structures within their regional context at the different depths, with extent and boundary of the salt structures having been the main focus of the project. Four horizontal cross-section maps covering the whole onshore area of Northern Germany have been developed at a scale of 1:500.000. The maps cover the depths of -500, -1000, -1500, -2000 m below NN. The four depths are based on typical depth requirements of existing salt caverns in Northern Germany, mainly related to hydrocarbon storage. The shapes of the structures show rudimentary information of their geometry and their change with depths. In addition they form the starting point for rock mechanical calculations necessary for the planning and construction of salt caverns for storage as well as for assessing storage potentials. The maps can be used as a pre-selection tool for subsurface uses. It can also be used to assess coverage and extension of salt structures. Offshore areas were not treated within the project. All horizontal cross-section maps were adjusted with the respective state geological survey organisations. According to the Data Specification on Geology (D2.8.II.4_v3.0) the WMS InSpEE (INSPIRE) provides INSPIRE-compliant data. The WMS InSpEE (INSPIRE) contains two group layers: The first group layer “INSPIRE: Salt structures in Northern Germany“ comprises the layers GE.Geologic.Unit.Salt structure types, GE.GeologicUnit.Salt pillow remnants, GE.GeologicUnit.Structure-building salinar and GE.GeologicUnit.Structural outlines. The layer GE.GeologicUnit.Structural outlines contains according to the four depths four sublayers, e.g. GE.GeologiUnit.Structural outlines 500 m below NN. The second group layer „INSPIRE: Horizontal cross-section maps of Northern Germany“ comprises according to the four depths four layers, e.g. Horizontal cross-section map – 500 m below NN. This layer, in turns, contains two sublayers: GE.GeologicFault.Relevant fault traces and GE.GeologicUnit.Stratigraphic Units. Via the getFeatureInfo request the user obtains additional information on the different geometries. In case of the GE.Geologic.Unit.Salt structure types the user gets access to a data sheet with additional information and further reading in German for the respective salt structure via the getFeatureInfo request.
The IGME5000-EU (INSPIRE) represents the pre-quaternary bedrock geology (onshore and offshore) of the European map on a scale of 1:5,000,000. According to the Data Specification on Geology (D2.8.II.4_v3.0) the content of the geological map is stored in two INSPIRE-compliant GML files: IGME5000-EU_GeologicUnit.gml contains the geologic units and IGME5000-EU_GeologicStructure.gml comprises the faults. The GML files together with a Readme.txt file are provided in ZIP format (IGME5000-EU-INSPIRE.zip). The Readme.text file (German/English) contains detailed information on the GML files content. Data transformation was proceeded by using the INSPIRE Solution Pack for FME according to the INSPIRE requirements.
As part of the CDRmare joint project GEOSTOR (https://geostor.cdrmare.de/), the BGR created detailed static geological 3D models for two potential CO2 storage structures in the Middle Buntsandstein in the Exclusive Economic Zone (EEZ) of the German North Sea and supplemented them with petrophysical parameters (e.g. porosities, permeabilities). The 3D geological model (Pilot area B; ~560 km2) is located in the north-western part of the German North Sea sector, the so-called “Entenschnabel”, an approximately 150 kilometer long and 30 kilometer wide area between the offshore sectors of the Netherlands, Denmark and Great Britain (pilot region B). The model in the Ducks Beak is based on several high-resolution 3D seismic data and geophysical/geological information from four exploration wells. It includes 20 generalized faults and the following 16 horizon surfaces: 1) Sea Floor, 2) Mid Miocene Unconformity, 3) Base Tertiary, 4) Base Upper Cretaceous, 5) Base Lower Cretaceous, 6) Base Upper Jurassic, 7) Base Lower Jurassic, 8) Base Muschelkalk, 9) Base Röt, 10) Base Solling Formation, 11) Base Detfurth Formation, 12) Base Volpriehausen Wechselfolge, 13) Base Volpriehausen Formation, 14) Base Triassic, 15) Base Zechstein, 16) Top Basement. The reservoir formed by sandstones of the Middle Buntsandstein is located within the Mads Graben, which is bounded to the west by the extensive Mads Fault (normal fault). Marine mudstones of the Upper Jurassic and Lower Cretaceous serve as the main seal formations. Petrophysical analyses of all considered well data were conducted and reservoir properties (including porosity and permeability) were calculated to determine the static reservoir capacity for these potential CO2 storage structures. The model parameterized and can be used for further dynamic simulations of storage capacity, geo-risk, and infrastructure analyses, in order to develop a comprehensive feasibility study for potential CO2 storage within the project framework. The 3D models were created by the BGR between 2021 and 2024. SKUA-GOCAD was used as the modeling software. We would like to thank AspenTech for providing licenses for their SSE software package as part of the Academic Program (https://www.aspentech.com/en/academic-program).
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