Other language confidence: 0.8119638560557473
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).
Onshore geological field work combined with an onshore/offshore aeromagnetic survey was carried out during a joint expedition of the German BGR and the Canadian GSC to understand the structural architecture of the North American continental margin. The helicopter-borne magnetic survey of 2008 covered the northern coastal areas of Ellesmere Island and the adjacent marine areas. The survey was conducted with a line separation of 2 km and covered a 40 to 50 km wide swath offshore about parallel to the north coast of Ellesmere Island from Yelverton Bay in the west to Parr Bay east of Cape Columbia, the northernmost point of Canada. Between Yelverton Bay and M'Clintock Inlet, the survey extended about 40 to 50 km inland, which was the prime target area of the CASE 11 geological investigations. This section of mountainous terrain was flown in a “draped” mode to keep the distance to ground at approximately 1500 ft, same as over the offshore areas. During a 4-weeks period in May/June 2008, close to 8000 km of aeromagnetic line data were acquired, covering an area of 12000 km².
Im Teilvorhaben wird eine Unterwassermotorpumpenturbine für den beschriebenen Anwendungsfall entwickelt und hinsichtlich des speziellen Einsatzes als Turbine optimiert. Aufgrund der Spezialanwendung im Off-Shore Bereich sind mit numerischen und experimentellen Untersuchungen die in der Fachliteratur für den Standarteinsatz definierten Auslegungsmethoden zu validieren und ggf. anzupassen. Konkret sind Kavitation, große Druckunterschiede und eventuell daraus resultierende transienten Vorgänge genau zu beachten. Zur Optimierung des Designs muss die Geometrie und Anordnung der strömungsmechanischen Bauteile der Pumpturbine an den Anwendungsfall angepasst werden.
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.
Das Gesamtziel des Vorhabens C²-Wakes ist es zu untersuchen, ob und wie sich beim geplanten Ausbau der Offshore-Windenergie großskalige Nachlaufeffekte reduzieren lassen und der Ertrag von Windparkclustern erhöhen werden kann. Diese geschieht zum einen durch die Durchführung einer umfangreichen Scanning-Lidar-Messkampagne zur Vermessung des Einflusses aktiver Nachlaufablenkung auf Windpark- und Cluster-Wakes. Zum anderen wird untersucht, welche Auswirkungen neuartige Windenergieanlagenkonzepte und optimierte Windparklayouts auf Cluster-Nachläufe haben und welche Regelungsansätze zur Reduktion der Windparkclustereffekte und damit zur Steigerung des Gesamtertrags von Windparkclustern beitragen können. Des Weiteren beschäftigt sich das Projekt auch mit der Fragestellung, welche Potenziale zur Erhöhung des Windparkertrags durch Beeinflussung des Global Blockage Effekts existieren. Aus den Ergebnissen werden im Anschluss Handlungsempfehlungen für Industrie und Behörden zur Reduktion von großskaligen Windparkeffekten gegeben. Mit diesen Zielen widmet sich das Projekt Fragestellungen mit erheblicher Relevanz für die effizientere und wirtschaftlichere Windenergienutzung auf See. Das Teilvorhaben fokussiert sich auf die Umsetzung einer Offshore Messkampagne in einem von RWE betriebenen Offshore Windpark in der Deutschen Nordsee und daran anknüpfende Untersuchung zu Aspekte der Planung und des Betriebs von Offshore Windparks. Bei den die Messkampagne begleiteten Forschungs- und Entwicklungsarbeiten steht für RWE im Vordergrund, vorhandene In-House Modelle zu verbessern, indem diese sowohl mit gewonnen Messdaten aus der Messkampagne als auch mit Modellierungsergebnissen der Projektpartner unter Nutzung von aufwendigeren Modellen abgeglichen und angepasst werden.
We analyzed concentrations of dissolved rare earth elements (REE) across the land-ocean continuum in the German Bight (southern North Sea) to identify key drivers for REE cycling in dynamic coastal environments. We identified the coastal transition zone as a critical interface for altering predominantly riverine-derived natural and anthropogenic REEs. We combined shale-normalized REE patterns, measured by quadrupole inductively coupled plasma-mass spectrometry (Q-ICP-MS), with biogeochemical bulk parameters and molecular analysis of dissolved organic matter (DOM) determined by ultrahigh-resolution mass spectrometry (FT-ICR-MS). Samples were acquired during RV Heincke cruise HE527. The dataset includes spatially resolved biogeochemical data (concentrations of chlorophyll-a, dissolved nitrogen, dissolved organic carbon, suspended particulate matter, dissolved iron, dissolved manganese and dissolved REE) in surface waters obtained along the major estuarine transects (Ems, Weser, and Elbe), coast-orthogonal transects and an offshore North Sea transect, with additional deep-water samples. Temporally resolved data were collected near the barrier islands Langeoog and Spiekeroog including the Otzumer Balje inlet. The dataset also contains molecular indices based on DOM composition (see Speidel et al., 2024) REE subgroups, ratios and concentrations of anthropogenic Samarium and Gadolinium (for details see Mori et al., 2025).
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.
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.
Offshore wind energy is a steadily growing sector contributing to the worldwide energy production. The impact of these offshore constructions on the marine environment, however, remains unclear in many aspects. In fact, little is known about potential emissions from corrosion protection systems such as organic coatings or galvanic anodes composed of Al and Zn alloys, used to protect offshore structures. In order to assess potential chemical emissions from offshore wind farms and their impact on the marine environment water and sediment samples were taken in and around offshore wind farms of the German Bight between 04.04.2022 and 14.04.2022 within the context of the Hereon-BSH project OffChEm II. The surface sediment samples were taken by a box grab, homogenized, freeze-dried and wet-sieved to gain the <20 µm grain size fraction. The <20 µm grain size fraction was acid digested and measured by ICP-MS/MS for their (trace) metal mass fractions.
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).
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