https://github.com/randlab/hytool

Hytool is a matlab toolbox for the interpretation of hydraulic tests in wells. The toolbox contains analytical solutions used to describe groundwater flow around wells, and functions for importing, displaying, and fitting a model to the data.
https://github.com/randlab/hytool

data-analysis hydrogeology matlab pumping-test well-testing

Last synced: 2 months ago
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Hytool is a matlab toolbox for the interpretation of hydraulic tests in wells. The toolbox contains analytical solutions used to describe groundwater flow around wells, and functions for importing, displaying, and fitting a model to the data.

• Host: GitHub
• URL: https://github.com/randlab/hytool
• Owner: randlab
• License: mit
• Created: 2017-06-27T19:16:38.000Z (almost 9 years ago)
• Default Branch: master
• Last Pushed: 2020-03-28T14:58:07.000Z (about 6 years ago)
• Last Synced: 2026-03-07T08:03:22.420Z (3 months ago)
• Topics: data-analysis, hydrogeology, matlab, pumping-test, well-testing
• Language: HTML
• Homepage:
• Size: 3.86 MB
• Stars: 11
• Watchers: 5
• Forks: 11
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE
  • Codemeta: codemeta.json

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README

          
# hytool

[![View hytool on File Exchange](https://www.mathworks.com/matlabcentral/images/matlab-file-exchange.svg)](https://ch.mathworks.com/matlabcentral/fileexchange/74747-hytool)

Hytool is a matlab toolbox for the interpretation of hydraulic tests in wells. The toolbox contains analytical solutions used to describe groundwater flow around wells, and functions for importing, displaying, and fitting a model to the data. 

The [Wiki page](https://github.com/UniNE-CHYN/hytool/wiki)  of this repository explains how to install hytool on your machine.

To learn how to use hytool, a series of detailed examples and manuals are provided within the Matlab help. 

To cite this toolbox, please use the following reference: Renard, Philippe (2017). Hytool: an open source matlab toolbox for the interpretation of hydraulic tests using analytical solutions. _Journal of Open Source Software_, 2(19), 441, [doi:10.21105/joss.00441](http://joss.theoj.org/papers/10.21105/joss.00441)

# R version

A rather complete version of Hytool in R is available. It is developped by François Bertone : https://github.com/FrancoisBertone/rhytool as an R package.

# Python version

Some of the functionalities of hytool are also available in the hypy https://github.com/UniNE-CHYN/hypy  Python module.