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ZENODO
Software . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Software . 2021
License: CC BY
Data sources: Datacite
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Python package for generating periodic hydraulic conductivity fields and groundwater flow fields

Authors: Zhou, Lian; Hansen, Scott K.;

Python package for generating periodic hydraulic conductivity fields and groundwater flow fields

Abstract

This is a Python package, periodicgw (available at https://pypi.org/project/periodicgw/), for generating 2D periodic random groundwater flux fields with any user specified mean flow vector. Periodic random hydraulic conductivity fields are generated that are locally multi-Gaussian with user-selectable semi-variograms and anisotropy structures. Darcy flux fields are solved exactly using a finite volume approach on these conductivity fields with periodic boundary conditions and an enforced mean flow angle. Inter-cell fluxes are directly reported for compatibility with particle tracking algorithms based on the Pollock method. Source code of this Python package is attached.

Keywords

Python

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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4