groundwater_tools 0.1.0

Library for processing groundwater data and constructing simple analytical models.

groundwater_tools

A library to analyse groundwater survey and geophysical logging data and build simple analytical groundwater flow models.

marinelli.py

This first iteration only contains the library marinelli.py, which contains classes for constructing the simple analytical groundwater flow model by Marinelli & Niccoli (2000) for assessing flow into a mine pit.

To construct a groundwater flow model, call the PitFlow class (all units in meters and seconds) or PitFlowCommonUnits (units in more common formats). To construct several models (e.g., for comparing various scenarios), use PitFlowCollection or PitflowCommonUnitsCollection.

The classes contain methods to calculate inflow, water table depression, and to output matplotlib depression cone profiles and pandas.DataFrame reports. More exact documentation is work-in-progress.

Recommended to be used with Jupyter Notebooks.

To do

• Add more testing for the critical mathematical methods.
• A more straightforward method to account for springtime high water.
• Better code quality: type hints, docstrings, etc.
• Add proper documentation.