Evidence map›Paper›PMID 41165058›Full record

ArticleGround water

ArchPy and MODFLOW: Toward a General Integration of Heterogeneity into Groundwater Models.

Ludovic Schorpp, Nina Egli, Julien Straubhaar, Philippe Renard

Abstract read
In one paragraph

Article in Ground water. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ludovic SchorppCentre for Hydrogeology and Geothermics, University of Neuchâtel, Neuchâtel, Switzerland.ORCID https://orcid.org/0000-0001-8256-2960
Nina EgliCentre for Hydrogeology and Geothermics, University of Neuchâtel, Neuchâtel, Switzerland.
Julien StraubhaarCentre for Hydrogeology and Geothermics, University of Neuchâtel, Neuchâtel, Switzerland.
Philippe RenardCentre for Hydrogeology and Geothermics, University of Neuchâtel, Neuchâtel, Switzerland.

Funding

Swiss National Science Foundation 501100001711-216578
6 · The paper itself

Abstract

Groundwater models are important and useful tools for answering scientific and technical questions about the quantity and quality of groundwater, as well as for making critical management decisions. However, the heterogeneity of subsurface properties, such as hydraulic conductivity, is known to play a central role in groundwater flow and transport; therefore, its accurate quantification and incorporation into the groundwater workflow are critical. This paper presents a novel tool, ArchPy2Modflow, that efficiently combines a stochastic geological generator, ArchPy, with a groundwater flow software, MODFLOW. ArchPy2Modflow provides a rapid and practical way to convert and link any ArchPy model to a new (or existing) MODFLOW model, where any MODFLOW spatial parameter (such as porosity, hydraulic conductivity, or storativity) can be obtained from an ArchPy property, which is then upscaled according to the MODFLOW grid. ArchPy2Modflow offers several different options for selecting the appropriate MODFLOW grid: using the same grid as in the ArchPy model, defining each ArchPy geological unit as a MODFLOW layer, coarsening the grid by a certain factor, or directly using an existing MODFLOW grid. This flexibility enables users to adapt their models to suit their needs and constraints. The usefulness and practicality of the new tool are demonstrated by a synthetic example considering flow and transport in a heterogeneous aquifer, while the impact of a particular grid selection on the simulations is demonstrated.

Indexed as

Environmental MonitoringGroundwaterModels, TheoreticalSoftwareWater MovementsHydrology

Identifiers

PMID41165058
PMCPMC12652298

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.