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DupuitLEM

Groundwater landscape evolution with landlab

Install / Use

/learn @DavidLitwin/DupuitLEM
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

DupuitLEM

DupuitLEM is a set of interchangeable models built with landlab components to explore the effects of groundwater on landscape evolution and the hydrological properties of the resulting landscapes. All models consider fluvial incision driven by runoff from groundwater return flow and precipitation on saturated areas, hillslope diffusion, and baselevel change.

The core model class is the StreamPowerModel. The core model takes instantiated components to update the geomorphic and hydrological states. For hillslope diffusion and streampower erosion, landlab components are supplied. A HydrologicalModel is used to update the hydrological state and determine discharge for the fluvial erosion model. Uplift an regolith production are handled together by a RegolithModel, as both processes affect the boundary conditions of the hydrological model.

Scripts are then used to instantiate the model and its components, and ultimately run them on an HPC or local computer.

Dependencies:

  • landlab > 2.0

Citations:

Citation for GroundwaterDupuitPercolator:

Litwin, D., Tucker, G., Barnhart, K., & Harman, C. (2020). GroundwaterDupuitPercolator: A Landlab component for groundwater flow. Journal of Open Source Software, 5(46), 1935. https://doi.org/10.21105/joss.01935

Citations for DupuitLEM:

Litwin, D. G., Tucker, G. E., Barnhart, K. R., & Harman, C. J. (2022). Groundwater affects the geomorphic and hydrologic properties of coevolved landscapes. Journal of Geophysical Research: Earth Surface, 127(1), e2021JF006239. https://doi.org/10.1029/2021JF006239

Litwin, D. G., Barnhart, K. R., Tucker, G. E., & Harman, C. J. (2021). DupuitLEM: groundwater landscape evolution with landlab. Zenodo. https://doi.org/10.5281/zenodo.4727916

View on GitHub
GitHub Stars6
CategoryDevelopment
Updated2mo ago
Forks1

Languages

Python

Security Score

70/100

Audited on Jan 8, 2026

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