Building knowledge to optimise the management and protection of Danish water resources and the public’s drinking water supply as well as the impact of groundwater on Danish nature and the environment. Programme areas include mapping, establishing and managing monitoring programmes, understanding the water cycle and water quality.

The Water resources programme includes contributions from the following departments at GEUS:
  • Groundwater and Quaternary Geology Mapping
  • Geochemistry
  • Hydrology

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1 to 10 of 66 Results
May 29, 2026
Koch, Julian, 2026, "Dataframe for 10 m water table depth predictions at DK-scale", https://doi.org/10.22008/FK2/DUU3WM, GEUS Dataverse, V2
The repository contains the dataframe required for generating 10 m water table depth predictions across Denmark. In addition to the covariates used for modelling, the dataframe includes UTMX and UTMY coordinates for each grid cell. A description of all covariates is provided in t...
May 12, 2026 - DK-model2019
Ondracek, Maria, 2022, "DK-model2019 - Simulation results (GIS)", https://doi.org/10.22008/FK2/P88XCU, GEUS Dataverse, V2
This folder contains contain various results simulated with DK-model2019. Grid files and .shp files are assembled in ArcGIS Pro v.3.4.0. For results regarding streamflow, seepage from groundwater to streams, depth to groundwater table, net precipitation, recharge and water veloci...
May 12, 2026 - DK-model2019
Ondracek, Maria, 2022, "DK-model2019 - Calibration statistics (GIS)", https://doi.org/10.22008/FK2/0JRWGS, GEUS Dataverse, V2
This folder contains the calibrationstatistics from DK-model2019. Grid files and .shp files are assembled in ArcGIS Pro v.3.4.0. DKmodel2019 setup and calibration is described in GEUS report 2019/31.
May 12, 2026 - DK-model2019
Ondracek, Maria, 2022, "DK-model2019 - Model data (GIS)", https://doi.org/10.22008/FK2/DIXM34, GEUS Dataverse, V2
This folder contains the hydrological and geological data from DK-model2019. Grid files and .shp files are assembled in ArcGIS Pro v.3.4.0. DK-model2019 setup and calibration is described in GEUS report 2019/31.
May 12, 2026 - DK-model2019
Ondracek, Maria, 2022, "DK-model2019 - Model data, calibration statistics and simulation results (GIS)", https://doi.org/10.22008/FK2/I2S92O, GEUS Dataverse, V2
This folder contains model data, calibration statistics and simulation results from DK-model2019. Grid files and .shp files are assembled in ArcGIS Pro v.3.4.0 Modeldata contains hydrological and geological data from DK-model2019. DK-model2019 setup and calibration is described i...
May 12, 2026 - DK-model2019
Ondracek, Maria, 2026, "DK-model2019 Ressourceopgørelse", https://doi.org/10.22008/FK2/GJ9WE5, GEUS Dataverse, V1
Den her folder indeholder ArcGIS Pro data pakke med resultater hørende til GEUS rapport 2023/8: "Vandressourceopgørelse - datarapport. Baggrundsrapport til miljøstyrelsens samlede afrapportering omkring forvaltning af fremtidens drikkevandsressource. Metode, resultater, usikkerhe...
Apr 7, 2026
This dataverse host datasets originally produced by the Danish Environmental Protection Agency, while GEUS (the Geological Survey of Denmark and Greenland) acts as the publishing organization. This means GEUS is responsible for making the datasets publicly available, ensuring pro...
Feb 19, 2026 - DK-model2023
Troldborg, Lars, 2025, "Supplementary basic data on danish groundwater bodies", https://doi.org/10.22008/FK2/HHGESF, GEUS Dataverse, V4
Supplementary basic data on danish groundwater bodies. The dataset was produced by GEUS on a contract with the Danish Agency for Green Transition and Aquatic Environment and is related to the Water Framework Directive River Basin Management Planing (2025-11-25)
Feb 17, 2026
Voutchkova, Denitza, 2026, "Time Series Plots for As, Cu, Pb, Zn, and pH for the GRUMO wells with stainless steel filters", https://doi.org/10.22008/FK2/TJHYZO, GEUS Dataverse, V1
Time series plots for As, Cu, Pb, Zn, and pH for the GRUMO wells with stainless steel filters (in Danish: Johnsonfiltre). These plots were used to identify well screens with high variability or outliers in the trace elements As, Cu, Pb, and Zn, potentially as a function of pH var...
Feb 5, 2026
Koch, Julian, 2026, "Modelling Carbon and Groundwater in Peatlands", https://doi.org/10.22008/FK2/SGHNJS, GEUS Dataverse, V1
Data to reproduce the modelling in the paper "Modelling Carbon and Groundwater in Peatlands using AlphaEarth Embeddings ". Data will be made available once article is accepted,
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