Because a new year has come with a new way to model groundwater flow using the latest developments of Modflow 6 Disv. We are not exactly sure that we have done a tutorial, or a procedure or a bunch of code and tools together but we are sure that we have done something that can model geospatial groundwater flow online with awesome 3d representations. At the time we launched all the code on the Hakuchik server, we had a feeling of "we did it" and you are entitled to see if our work is good, bad or in progress. We are sure that more development needs to be done but this will be the way of groundwater modeling in the future, hoping that improving the capacities of professionals and concern of the general population will lead to a sustainable management of our groundwater resources.

This is a tutorial about some functionalities of Model Muse to analyze and process layer heads or parameters. The applied example was done based on a previous tutorial of a model with 3 stress periods, one static and two transient periods of 10 days. The simulated map shows the head difference in the last 10 days.

Modeling the dynamic of the groundwater flow related to pumping was a challenge with the traditional Wel package in MODFLOW since wells are screened on the most part of the well depth crossing multiple layers of a groundwater flow model. The Multi Aquifer Well (MAW) package came as a solution for this complex behaviour of layer interaction in Modflow. Model Muse with Modflow6 can implement the MAW package with ease.

This tutorial shows the complete procedure to set up a MAW well on a 3 layer groundwater flow model, gives an overview of the package options and represents the well heads and well rates with scripts in Flopy.

Modeling groundwater flow on a regional scale has its own challenges because a regional model itself deals with refinement requirements, larger baselines, higher differences in elevations, complex geologies and areas without observation data.

The applied model of this tutorial covers the Angascancha Reservoir basin groundwater flow model in Ayacucho, Peru. This example have been modeled in several courses, tutorials and webinars with Modflow 2005, Flopy and Model Muse, however, this is the first time we port the model (succesfully) to Modflow 6 and Model Muse 4.

Great free and open groundwater flow modeling software are in constant development process, therefore year by year we have newer versions or even new software. This time we have uptated a basic and useful tutorial from 2016 to the new version of Modflow and Model Muse. The tutorial shows the complete procedure to download and install Model Muse 4 and configure Modflow 6.

We have explored the new (or not so new) options of Modflow 6 and Model Muse 4 to create local refinements on a regional scale based on hydraulic features. So far, we came up with a decent example of regional groundwater modeling on a andean basin with three boundary conditions and decreasing hydraulic conductivity with depth. The tutorial also explores the complexities to model basins with high difference on elevation and the use of text defined parameters to implement the Newton formulation in Modflow 6.

Finite difference method as well as any other discretization method allows the conceptualization of a geological media into cells or other volumes. Geological models come in diverse formats in binary or text format and need to be “translated” to the cell extension of a groundwater model.

This tutorial has a applied example of the implementation of a 3D geological model from a neural network into a groundwater model with determined horizontal discretization and layer thickness. The tutorial covers all the steps for model construction and hydrogeological unit determination with scripts in Python with Flopy and other libraries. Comparisons of the original and translated geological model were done as Matplotlib plots and Vtk files in Paraview.

We have done tutorial in Python and recent and powerful libraries as Scikit Learn to create a geological model based on lithology from drillings on the Treasure Valley (Idaho, USA). The tutorial generates a point cloud of drillings lithologies that are transformed and scaled for the neural network. The selected neural network classifier is Multi-layer Perceptron classifier implemented on the Scikit Learn library as sklearn.neural_network.MLPClassifier. An analysis of the confusion from the neural network is performed. The tutorial also includes a georeferenced 3D visualization from well lithology and interpolated geology as Vtk format in Paraview.

Conceptualization and simulation of groundwater flow in the area of influence of geological faults is really a challenge for numerical modelers. Besides the complexities and variety of faults there were some limitations of the numerical codes to simulate the mixed behaviour of faults and altered zones. We have developed an example tutorial to represent the main characteristics of groundwater flow in the fault zone for an applied case. The tutorial is developed in Model Muse with the MODFLOW DISV option for unstructured grid generation. Groundwater flow was analyzed on the water balance and a particle tracking simulation was done with MODPATH 7.

The process and options to define the cell / layer confinement has changed in MODFLOW 6 with respect to MODFLOW 2005. We have done an explanatory video about the process to setup the confinement for cells in MODFLOW 6 with Model Muse. There is also a discussion on the influence of the confined / convertible option on the aquifer response on an example model.

The disconnexion of surface groundwater flow it is fact very common on highly exploited aquifers or under impacts from climate change. Many rivers are disconnected from the groundwater flow regime decreasing their flow amount due to infiltration losses. For the simulation of this surface flow, unsaturated flow and groundwater flow phenomena the MODFLOW package Streamflow Routing (SFR) was developed.

This tutorial develops an numerical model of disconnected surface groundwater flow with MODFLOW SFR and Model Muse. The study case has regional flow and a river network with monthly flow on transient conditions over 2 years.

Hydraulic parameters for an aquifer flow can be expressed on different terms like Hydraulic Conductivity (K) or Transmissivity (T). On the default setup of MODFLOW 2005 with Model Muse there is no option to use directly Transmissivity unless a manual conversion is done to transform into K, this is because the selected flow package is Layer Property Flow (LPF).

When the flow package changes to Block Centered Flow (BCF6) it is possible to insert Transmissivities directly as datasets or as a object property. The BCF package also has more options for the layer type, with unconfined and partial confined aquifer options.