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  • The national drill core repository of the BGR in Berlin-Spandau includes drilled rocks from various research programs such as BGR, BMBF, GESEP and ICDP. Core material from petroleum industry is also represented. The locations of the wells are given worldwide and visualized on a map. Detailed information is linked to other BGR online services.

  • The map of gravel deposits on a scale of 1 : 250,000 shows the distribution of sediments that contain gravel. The gravel fractions in the upper 0.2 m below the seabed surface are shown over the entire area. In the depth intervals 0-1 m, 1-2 m and 2-3 m, the gravel occurrences are additionally mapped selectively, depending on the drilling data. The proportion of gravel in the sediment is subdivided into five classes, each in gradations of 20 wt.% gravel. The maps are based on sediment samples taken from the seabed surface down to a depth of 0.2 m and on layer descriptions from boreholes.

  • The maps show a total of 14 newly interpreted base horizons (Middle Miocene unconformity to the base of the Zechstein) of depth maps and a total of 13 layer thickness maps from the Lower Miocene to the Zechstein.

  • A bathymetric map shows the topography of the seabed using depth contours. For the GPDN project area, it was necessary to create a specially adapted bathymetric map in order to achieve a uniform reference level for the creation of various 3D models, among other things.

  • Web Map Service (WMS) of the map Groups of soil parent material in Germany 1:5,000,000. The presented map at scale 1:5,000,000 shows the distribution of 15 soil parent material groups in Germany with polygons of at least 64 square kilometers. Parent material is the rock, from which soil is formed. It was derived from the landuse use stratified soil map of Germany at scale 1:1,000,000. The version 3.0 of the map is based on the Digital Landscape Model 1:1,000,000 (DLM1000) of the Federal Agency for Cartography and Geodesy.

  • Web Map Service (WMS) of the mean annual rate of percolation from the soil in Germany (SWR1000). The mean annual rate of percolation from the soil is defined as the amount of water that leaves the soil after consideration of capillary rise. It is expressed in mm/a. Precipitation water infiltrated into the soil after deduction of surface runoff, first stands for the water supply of the vegetation available. Exceeds the water content in the root zone, the field capacity, the water infiltrated force of gravity moved following down and leaves the root zone. Movement of water in the unsaturated zone is affected by infiltration of precipitation and irrigation water, evaporation, absorption of water by plant roots, and ascent of water from the groundwater table by capillary action. The percolating water leaves the soil as interflow, discharging into surface water bodies, or via the groundwater table, recharging the groundwater. Percolating water affects soil formation and the migration and leaching of plant nutrients and contaminants. Knowledge of the rate of percolation is of particular importance for protecting groundwater quality. The mean annual rate of percolation is the balance of precipitation, evapotranspiration and surface runoff.

  • The map of the relative binding strength of isoproturon in topsoils (0-30 cm) gives an overview of the sorption of this pesticide in the soils of Germany. A high binding strength of isoproturon can reduce the harmful impact on the environment by a decreased mobility. The decomposition of isoproturon in soils was not taken into account during generation of the map. The basis for calculation of the binding strength was the soil map 1:1,000,000 (BUEK1000) as well as linking rules and tabular values of isoproturon binding from Mueller & Waldeck (2011) and Rexilius & Blume (2004). However, the rank of isoproturon binding by clay was recalculated based 175 datasets of 18 publications (shift from rank 5 to rank 1). The binding strength of isoproturon depends on the content of organic matter and the soil texture (proxy for the content of clay minerals and sesquioxides) in this evaluation.

  • The Web Map Service (WMS) shows the distribution of typical soil types (soil texture) in the topsoils of Germany. Typical is used in the term of areally dominating. The map visualizes the results of the project that are documented in a BGR report (Bodenarten der Böden Deutschlands; BGR Archiv, Nr. 0127305). The soil texture data from the analysis of the particle size distribution for 16,132 sites in Germany were classified after the legend units of land use-stratified soil map of Germany 1: 1,000,000 (BÜK1000N V2.3) and mean soil texture were calculated. Considering the large heterogeneity in the data and the resulting uncertaintly in the precision for a site the depiction of the obtained soil texture is presented at the level of the soil types group, according to the German soil classification system (KA5).

  • Soils can be classified according to important and typical soil characteristics. Such a fundamental property is the composition of the soil or soil type. The soil type describes the size of the mineral particles from which a soil is built. The content of organic matter in the upper soil determines how much water or how much nutrients can be stored in the soil. The soil thickness describes the space under the earth's surface that can be rooted by plants. The theme maps of soil characteristics in Germany are based on the landuse stratified soil map of Germany 1:1,000,000 (BUEK1000N), more than 9000 quality-assured soil profiles of the federal states from a twenty-year period and on the land use dataset CORINE Landcover 2006 (UBA).

  • The map shows the average annual groundwater recharge of Germany for the period 1961 - 1990 as a raster image in a cell range of 1 x 1 km. For this purpose, a multi-step regression model was developed (Neumann, J. 2005). In a first step, the baseflow index (BFI = baseflow / total runoff) was determined as the regression target size as a function of slope gradient, drainage density, land cover, available field capacity, depth to groundwater and the ratio of direct runoff to total runoff. Based on this, two different model variants were developed for low-drainage (R 200 mm/a) and high-drainage regions (R 200 mm / a). For R 200 mm/a, groundwater recharge rates were calculated by multiplying the regional grid-based baseflow index and the area-differentiated total runoff according to BAGLUVA. For the higher values R 200 mm/a, a second regression equation has been used which, in addition to the base flow index, also requires the BAGLUVA total runoff and the depth to groundwater.

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