apeche / hypags

Tool for the estimation of hydraulic conductivity (K), effective porosity, virtual grain size distributions (d_{10,20,50,60}$) and van genuchten parameter ranges by means of single input values of K, d_{10} and d_{20}. Repo of the HYPAGS model (current version: https://github.com/APeche/HYPAGS/releases/tag/HYPAGSv1.4.0)

#HYPAGS

Current version of the HYPAGS model and GUI executeable can be downloaded here: https://github.com/APeche/HYPAGS/releases

For the use of the HYPAGS executeable do the following steps:

(1) Download HYPAGS.exe and Source code (zip) from here: https://github.com/APeche/HYPAGS/releases/tag/Version1.2.2
(2) In source code (zip), you will find a folder HYPAGS_dependencies
(3) Store HYPAGS.exe somewhere on your computer and store folder HYPAGS_dependencies in the same directory as HYPAGS.exe
(4) Simply click on HYPAGS.exe. It should open. 

The mathematical model, application range and use of the program described in: Peche A., & Houben, G. (2022). Estimating characteristic grain diameters and effective porosity from hydraulic conductivity data. Groundwater, Wiley, https://doi.org/10.1111/gwat.13266.

Peche, A., Houben, G., & Altfelder, S. (2023). Approximation of van Genuchten parameter ranges from hydraulic conductivity data. Groundwater, Wiley. https://doi.org/10.1111/gwat.13365

This is a stand-alone GUI. No installation required.

In case of arising problems or need of support, please contact me at [email protected]

The python code of the GUI is also provided in this repository

Some aspects about the installation, practical use and insights are given in this video tutorial:

https://www.youtube.com/watch?v=ikfyq0YEe2Y