Results of measurements of carbonate dissolution rates under various well-controlled conditions for reactive CO2-water flow in a large lab-scale karst fracture imitate

DOI

The data presented here, are the result of a study that explores carbonate dissolution dynamics in karstic systems by simulating reactive water flow under controlled large scale laboratory conditions. The work is conducted within the DFG-funded project NERO and focuses on the interaction of CO2-loaded water with carbonate rocks along a fracture imitate.

The large-scale experiments with a 1 m² limestone tile aim to provide realistic data of carbonate dissolution efficiency with well-defined boundary conditions. The experimental conditions were varied in terms of dissolved CO2 concentration in water, fluid flow velocities and fracture aperture.

The results serve as a base for numerical modelling approaches and help to bridge the gap between field scale phenomena and laboratory studies. The findings have implications for karst hydrology, geochemical modeling related subsurface processes, supporting advancements in predictive capabilities for natural and engineered systems.

Identifier
DOI https://doi.org/10.5880/GFZ.DMJQ.2025.002
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:8055
Provenance
Creator Strauch, Bettina ORCID logo; Zimmer, Martin ORCID logo; Stammeier, Jessica ORCID logo; Wendel, Kai ORCID logo; Keim, Leon ORCID logo; Class, Holger ORCID logo
Publisher GFZ Data Services
Contributor Strauch, Bettina; Zimmer, Martin; Stammeier, Jessica; Wendel, Kai; Keim, Leon; Class, Holger; ElMiE-Lab (GFZ Helmholtz Centre for Geosciences, Germany)
Publication Year 2025
Funding Reference Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659 Crossref Funder ID 508470891 NERO
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Strauch, Bettina (GFZ Helmholtz Centre for Geosciences, Potsdam, Germany)
Representation
Resource Type Dataset
Discipline Geosciences