%0 Generic %1 pelzer2024datasets %A Pelzer, Julia %D 2024 %K darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie %R 10.18419/darus-4156 %T Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 3 + 1 Data Points : Randomized heterogeneous permeability field k (Perlin noise) %X This data set serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (one hundred heat pumps, randomly placed). It is simulated with Pflotran and saved in h5 format. The data set contains 3 data points, each consisting of one simulation run until a near steady state is reached. Each data point measures 12.8 x 12.8 km with 2560 x 2560 cells. Additionally, there is one data point of 25.6 x 25.6 km of the same resolution for scaling tests. The varying parameter of the data set is the heterogeneous permeability with a fixed minimum and maximum. Other parameters that define the data set, such as porosity, are chosen to be as close as possible to reality. Source: "Die hydraulischen Grundwasserverhältnisse des quartären und des oberflächennahen tertiären Grundwasserleiters im Großraum München", Geologica Bavarica Volume 122. Generated with scripts from Dataset generation with Pflotran (commit 8549bbd9e22d2) with arguments given in inputs/args.yaml.

@misc{pelzer2024datasets, abstract = {This data set serves as training data for modeling the temperature field emanating from several open loop groundwater heat pumps (one hundred heat pumps, randomly placed). It is simulated with Pflotran and saved in h5 format. The data set contains 3 data points, each consisting of one simulation run until a near steady state is reached. Each data point measures 12.8 x 12.8 km with 2560 x 2560 cells. Additionally, there is one data point of 25.6 x 25.6 km of the same resolution for scaling tests. The varying parameter of the data set is the heterogeneous permeability with a fixed minimum and maximum. Other parameters that define the data set, such as porosity, are chosen to be as close as possible to reality. Source: "Die hydraulischen Grundwasserverhältnisse des quartären und des oberflächennahen tertiären Grundwasserleiters im Großraum München", Geologica Bavarica Volume 122. Generated with scripts from Dataset generation with Pflotran (commit 8549bbd9e22d2) with arguments given in inputs/args.yaml. }, added-at = {2024-09-16T12:00:21.000+0200}, affiliation = {Pelzer, Julia/University of Stuttgart}, author = {Pelzer, Julia}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2c0e18a6134d4d2db30222f7f69d8243f/unibiblio}, doi = {10.18419/darus-4156}, howpublished = {Dataset}, interhash = {00dfe33bfe1b101651b4ebff6862d856}, intrahash = {c0e18a6134d4d2db30222f7f69d8243f}, keywords = {darus mult ubs_10005 ubs_10021 ubs_20008 ubs_20019 ubs_30082 ubs_30165 ubs_40116 unibibliografie}, note = {Related to: Pelzer, Julia and Verburg, Corné and Heinlein, Alexander and Schulte, Miriam. "Few-Shot Learning by Explicit Physics Integration: An Application to Groundwater Heat Transport". 2025. Submitted}, orcid-numbers = {Pelzer, Julia/https://orcid.org/0009-0003-1727-9626}, timestamp = {2025-07-07T14:29:08.000+0200}, title = {Datasets: 100 Heat Pumps + Synthetic Permeability Fields, Simulation - Raw, 3 + 1 Data Points : Randomized heterogeneous permeability field k (Perlin noise)}, year = 2024 }