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INSPIRE: 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) (InSpEE)

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.

Long‑term georeferenced dataset of historical landslide events (70 AD–2011) in the Mainz Basin, eastern Rhineland‑Palatinate, Germany

This dataset compiles a harmonised inventory of historical landslide events as well as their reported impacts in the Mainz Basin between 70 AD and 2011, derived from an extensive survey of archival along with documentary sources. Documentary material was gathered from regional and national libraries, historical societies, institutional repositories, hard‑to‑access collections, additionally complemented by structured interviews with long‑term residents, local authorities, farmers including vineyard owners. Textual, cartographic and documentary sources were systematically catalogued, critically evaluated for reliability as well as dating accuracy. All events were georeferenced wherever possible, then integrated into a common GIS framework. The resulting database consists of an event table, in which each row represents an interpreted landslide event with associated attributes, in addition to a corresponding spatial dataset including point. To handle large text corpora from heterogeneous archival materials, AI‑assisted tools (NotebookLM, customised Gemini‑based workflows) were employed to support document standardisation, information extraction along with the application of predefined classification criteria, with all automatically generated outputs being checked and refined by the authors. The dataset provides a reproducible, source‑based reconstruction of the chronology, distribution and impacts of historical landslides in the Mainz Basin. The data is intended as a basis for subsequent geomorphological, temporal and statistical analyses, as well as for integration with additional thematic layers such as lithology, topography, land cover and climate.

Verkehrswissenschaftliche Untersuchung fuer eine grossraeumige Umfahrung der Metropolregion Hamburg (A20)

Volkswirtschaftliche Bewertung der nord-westlichen Umfahrung Hamburgs mit einer Elbquerung zwischen Stade und Glueckstadt, Ermittlung der Wirkungen auf die Raumstruktur, Wirkungen und Moeglichkeiten der privaten Finanzierung der Elbquerung, Aufbereitung der Gueterverkehrsprognose (Planco bearbeitet einen Teilbereich der Gesamtuntersuchung).

Methodologies for dealing with uncertainties in landscape planning and related modeling; Uncertainty of predicted hydro-biogeochemical fluxes and trace gas emissions on the landscape scale under climate and land use change

Water, carbon and nitrogen are key elements in all ecosystem turnover processes and they are related to a variety of environmental problems, including eutrophication, greenhouse gas emissions or carbon sequestration. An in-depth knowledge of the interaction of water, carbon and nitrogen on the landscape scale is required to improve land use and management while at the same time mitigating environmental impact. This is even more important under the light of future climate and land use changes.In the frame of the proposal 'Uncertainty of predicted hydro-biogeochemical fluxes and trace gas emissions on the landscape scale under climate and land use change' we advocate the development of fully coupled, process-oriented models that explicitly simulate the dynamic interaction of water, carbon and nitrogen turnover processes on the landscape scale. We will use the Catchment Modelling Framework CMF, a modular toolbox to implement and test hypothesis of hydrologic behaviour and couple this to the biogeochemical LandscapeDNDC model, a process-based dynamic model for the simulation of greenhouse gas emissions from soils and their associated turnover processes.Due to the intrinsic complexity of the models in use, the predictive uncertainty of the coupled models is unknown. This predictive (global) uncertainty is composed of stochastic and structural components. Stochastic uncertainty results from errors in parameter estimation, poorly known initial states of the model, mismatching boundary conditions or inaccuracies in model input and validation data. Structural uncertainty is related to the flawed or simplified description of natural processes in a model.The objective of this proposal is therefore to quantify the global uncertainty of the coupled hydro-biogeochemical models and investigate the uncertainty chain from parameter uncertainty over forcing data uncertainty up the structural model uncertainty be setting up different combinations of CMF and LandscapeDNDC. A comprehensive work program has been developed structured in 4 work packages, that consist of (1) model set up, calibration and uncertainty assessment on site scale followed by (2) an application and uncertainty assessment of the coupled model structures on regional scale, (3) global change scenario analyses and finally (4) evaluating model results in an ensemble fashion.Last but not least, a further motivation of this proposal is to provide project results in a manner that they support planning and decision taking under uncertainty, as this proposal is part of the package proposal on 'Methodologies for dealing with uncertainties in landscape planning and related modelling'.

Regionales Raumordnungsprogramm 2020 Beikarte Windenergie Landkreis Rotenburg (Wümme) - WMS

Diese Kurzbeschreibung entspricht dem <abstract> aus dem GetCapabilities-Dokument. - Diese Vorlage ist für WMS / View-Service eingerichtet. Für die Beschreibung eines WFS müssen Sie die entsprechenden Werte ändern und auch das Schlagwort infoFeatureAccessService setzen.

Regionales Raumordnungsprogramm 2020 Beikarte Windenergie Landkreis Rotenburg (Wümme) - WFS

WFS der Beikarte des Rechtskräftigen Regionales Raumordnungsprogramm des Landkreises Rotenburg (Wümme) in zeichnerischer Darstellung zur Information über die Ermittlung der Vorranggebiete für Windenergienutzung

Stadtbezirke der Stadt Göttingen - WMS

Das Gebiet der Stadt Göttingen ist in 18 Stadtbezirke unterteilt. Hierunter sind nicht die nach Niedersächsischem Kommunalverfassungsgesetz eingeteilten politischen Einheiten zu verstehen. Die 18 Stadtbezirke sind eine Einheit der Raumgliederung, die die Grundlage für Auswertungen auf größeren Ebenen ermöglicht.

Hydrogeologische Raumgliederung BB

Der Datensatz beinhaltet Daten des LBGR über die Hydrogeologische Raumgliederung Brandenburgs und wird über je einen Darstellungs- und Downloaddienst bereitgestellt. Die Karte gibt einen Überblick zu den hydrogeologischen Raumgliederungen Brandenburgs. Die Gliederungseinheiten tragen den angewandten Charakter von Nutzungsräumen. Sie werden anhand von Wassereinzugsgebieten und Charakteristiken dazugehöriger Grundwasserdynamik beschrieben. Für das Territorium einer hydrogeologischen Einheit werden vergleichbare Grundwasserverhältnisse vorausgesetzt.

Regionaler Entwicklungsplan 2018

Regionaler Entwicklungsplan für die Planungsregion Anhalt-Bitterfeld-Wittenberg mit den Planinhalten „Raumstruktur, Standortpotenziale, technische Infrastruktur und Freiraumstruktur“ Die oberste Landesentwicklungsbehörde hat am 21.12.2018 die Genehmigung unter einer Maßgabe erteilt. Am 29.03.2019 trat die Regionalversammlung mit Beschluss Nr. 03/2019 der Maßgabe bei. Mit Bekanntmachung der Genehmigung trat der Regionale Entwicklungsplan am 27.04.2019 in Kraft.

INSPIRE Geology / Hydrogeologische Raumgliederung BB

Der interoperable INSPIRE-Datensatz beinhaltet Daten vom LBGR über die Hydrogeologische Raumgliederung Brandenburg, transformiert in das INSPIRE-Zielschema Geologie. Der Datensatz wird über je einen interoperablen Darstellungs- und Downloaddienst bereitgestellt. --- The compliant INSPIRE data set contains data about the hydrogeological spatial classification in the State of Brandenburg from the LBGR, transformed into the INSPIRE target schema Geology. The data set is provided via compliant view and download services.

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