gravityInf - inverse hydrological modeling based on gravity observations to evaluate dominant infiltration and subsurface re-distribution processes

DOI

gravityInf is a small R-package which aims at supporting the anaylsis of a sprinkling (infiltration) experiment in combination with simultaneous and continious gravity measurements, presented in the above mentioned paper. With this package you can easily walk through the necessary steps in order to set up an infiltration scenario, maybe based on your own sprinkling / irrigation experiment and carry out simple hydrological modelling of water distribution in 3D in the subsurface. An observed gravity time series is needed for the model in order to fit and thus identify the dominant infiltration process for your research area. A model functionality and limitations can be found in Reich et al. (2021), the associtated data was published by Reich et al. (2021, https://doi.org/10.5880/GFZ.4.4.2021.001).

Identifier
DOI https://doi.org/10.5880/GFZ.4.4.2021.002
Related Identifier https://github.com/marcianito/gravityInf
Related Identifier https://doi.org/10.5880/GFZ.4.4.2021.001
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:7063
Provenance
Creator Reich, Marvin ORCID logo
Publisher GFZ Data Services
Contributor Reich, Marvin
Publication Year 2021
Rights GNU General Public License Version 3 (29 June 2007); Copyright (C) 2021 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany; https://www.gnu.org/licenses/gpl-3.0.html
OpenAccess true
Contact Reich, Marvin (GFZ German Research Centre for Geosciences, Potsdam, Germany)
Representation
Resource Type Software
Version 1.0
Discipline Geosciences