Gempy is an open-source library for modeling geology written in Python. The library is capable of creating complex 3D geological models including structures, fault networks, and unconformities and it can be coupled with uncertainty analysis.

We have created a tutorial of geological modeling based on geological contacts and surface orientations. The tutorial was developed in a Gempy container that runs under Docker in Windows 10; the tutorial covers the software installation and the geological modeling scripting.

Groundwater remediation is a challenge for stakeholders, scientists and population due to the limited baselines, high uncertainty, limited budgets and timeframes, and not so strong modeling capabilities of related professionals on a general scope (don’t take it personal). We might think about the success of groundwater remediation when we achieve a big group - more than a hundred per country - of geoscientists whit high skills on groundwater modeling distributed on the private sector, the regulatory sector and academia.

A new and fresh opensource preprocessing and post processing tool is available. Freewat 0.4 was launched as a beta version and publicly available upon registration from this website: http://freewat.eu/. Most of the developers are italian and the project is funded under the H2020 program from the European Union and the Regione Toscana. The software comes with clear and descriptive documentation and tutorials plus the installation instructions. 
This article show the most important features of Freewat and its capabilities for representing the geospatially referenced regional groundwater flow.

For most hydrogeologists numerical modeling of groundwater flow is still new and brings several challenges when dealing with input data, model construction and simulation. Most of our modeling efforts are done in gravity driven groundwater flow on shallow aquifers solved by Darcy law equations. Sometimes we excel ourselves in conceptualizing "advanced" topics as unsaturated flow, contaminant transport, variable density or baseflow calibration. What about if we consider another driving force besides gravity? Will out lives be happier/miserable? Could we cope with the huge amount of required data?

Exercise developed and modified by Karen Martinez, Sandra Teruya and Saul Montoya

This example is a simulation of a mining dump which is a continuous source of concentrated leachate.

Numerical modeling has become an important part on most hydrogeological investigations. We can even say that the use of numerical models is on “fashion” in decision making processes about groundwater resources.
Numerical models are mathematical interpretations of nature and groundwater flow. They can have limitations, but still they are the best tools available for the understanding of current groundwater flow conditions and the simulation of predictive scenarios on groundwater resources.
This post shows the 10 most important reasons why a common hydrogeologist should know MODFLOW. Reasons are classified among scientific, professional and others.

MODFLOW is the groundwater modelling software developed by the U.S. Geological Survey (USGS). It appeared in 1984 and has had a constant developement till now. MODFLOW’s capacities allow the representation of regional or local groundwater flow and its interaction with superficial water bodies.