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

Description: 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).

Global identifier:

Doi(
    "10.5880/GFZ.4.4.2021.002",
)

Origins: /Wissenschaft/GFZ Data Services

Tags: Beregnung ? Papier ? Szenario ? Bewässerung ? Daten ? Zeitreihe ? Bodenfeuchte ? Modellierung ? Untergrund ? Verpackung ? EARTH SCIENCE > LAND SURFACE > SOILS > SOIL MOISTURE/WATER CONTENT ? EARTH SCIENCE > SOLID EARTH > GRAVITY/GRAVITATIONAL FIELD ? Hydrogravimetry ? R ? electrical resistivity tomography ? iGrav ? inverse modelling ? sub surface processes ? terrestrial gravimetry ?

License: gpl/3.0

Language: Englisch/English

Organisations

• GFZ Data Services (Herausgeberschaft)

Issued: 2021-01-01

Time ranges: 2021-01-01 - 2021-01-01

Status

Aktiv

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