We wanted to present seawater intrusion modeling in its more primitive form, on a simple aquifer conceptualization and aquifer geometry where the user can focus on the code implementation with MODFLOW6 - Buy package, Flopy and mf6Voronoi. We have also developed a precoded template for seawater intrusion that allows users to reduce time.
Read MoreThis tutorial covers an applied case of geological unit modeling done on the Queens Mary Reservoir, London, UK based on 266 drillings. The geological model was done in Python with the machine learning library Scikit Learn to create a geological model based on lithology from drillings. The code generates a point cloud of drilling lithologies that are transformed and scaled for a neural network classifier like the Multi-layer Perceptron classifier. To validate the results of the geological model, an analysis of the confusion matrix from the neural network is performed. The tutorial includes a georeferenced 3D visualization and comparison from well lithology and interpolated geology as Vtk format in Paraview.
Read MoreNext challenges on groundwater modeling facing scenarios of climate change and sustainable groundwater management require the implementation of fully coupled geological models into groundwater flow models. Even though we have dealt with this topic, we still have a lot to do in providing applied cases / tutorials for the hydrogeological unit conceptualization based on geological information with open source codes such as MODFLOW.
Read MoreApplied case of local groundwater modeling based on a regional groundwater flow to evaluate the interaction of the water reservoir with the groundwater flow system and the seepage rate from the reservoir. The model runs on steady state and shows the procedure to modify original/final surfaces without error on layer thickness.
Read MoreApplied case of groundwater modeling in the area influenced by a water reservoir. This tutorial provides the regional flow conditions that serve as boundary conditions for a refined model of the reservoir's interaction with groundwater.
Read MoreLocal scale modeling of a 4 stage trench excavation on a coastal aquifer with mf6Voronoi. The main objective of this modeling work is assessing the impact of the excavation on the nearby groundwater flow regime.
Read MoreMining hydrogeology is one of the most challenging faces of hydrogeology since its evaluations are key components for the mine operation and where groundwater related decisions are needed on a short timeframe. We have developed a series of tutorials that will introduce general groundwater modelers to the specific tasks of mine hydrogeology. This tutorial selection starts from regional modeling and goes into inflow and contaminant transport with different levels of complexity.
Read MoreApplied example of the simulation of groundwater inflow to a open pit considering faults of 1 meter thickness. The model has 6 stress period, one steady state and 5 transient stress periods representing the pit development over 4 years of a total mine life of 20 years. The tutorial shows the complete process beginning from mesh creation, model construction, water budget analysis and 3d representation.
Read MoreStiff Diagrams are a common and powerful tool for the representation of surface water / groundwater main ions. Anion and cation concentrations are represented on equivalent weight (meq/l), and usually cations are represented at the left side and anions at the right side. Traditionally, this diagram is useful for the comparison of the main water chemical components by examination of a series of diagrams, however it was not easy to compare the diagrams with the position of the observacion point.
To enhance the chemical analysis on regional scale this tutorial has coupled the Stiff Diagrams with their position on a QGIS project. The diagramas are generated from a spreadsheet with Python on a Jupyter Notebook and stored a vector file (.svg), then the images files are referenced on a style file (.sld) and uploaded to QGIS3.
Read MoreInfiltration galleries are a low cost and low maintenance option for domestic water supply. The amount of inflow water and the interaction with the water bodies are main concerns on the evaluation and design of infiltration galleries. We have done an applied case of inflow simulation to infiltration galleries with MODFLOW6 based on Voronoi meshes. The example covers all steps from mesh creation, steady state model construction, simulation of infiltration galleries and the inflow calculation per gallery group. Finally a 3D representation of the model geometry, boundary conditions and head distribution is performed on Paraview.
Read MoreApplied case of infiltration simulation in the unsaturated zone using the UZF package of MODFLOW 6 on a geospatial Voronoi grid built with mf6Voronoi. The model is in uniform transient regime with 3 layers where infiltration in the unsaturated zone occurs in the first layer. An observation point is inserted at different depths to evaluate the depth-moisture profile over time for different infiltration rates; finally, a 3D representation of the final groundwater table surface is generated, showing the effect of boundary conditions and infiltration.
Read MoreThe task to modify geospatial rasters considering future elements can be a complex task with the available GIS tools. We have optimized the way we can represent the surface of future (or current) water reservoirs on a fully geospatial raster. This tutorial shows the complete process to create a geospatial raster (TIF file) based on the contours from the dam and the reservoir extension.
Read MoreThis tutorial shows an applied case that covers the discretization of a model using Voronoi grids, taking into consideration the water network, the predictive flow area, and the model boundaries. Based on this mesh, a flow and transport model under steady-state conditions is constructed to simulate the contaminant plume over a period of 50 years, evaluated every 5 years. The model includes piezometers and the development of concentrations over time is evaluated using the Pandas library with Matplotlib. Finally, the entire model geometry, boundary conditions, hydraulic loads, and concentrations are visualized in 3D with Paraview.
Read MoreMODFLOW6 with mf6Voronoi can handle the simulation of specific tasks related to the mine industry. We have already covered the simulation of pit inflows with Voronoi meshes and now we are going to model the seepage from a tailings storage facility. The applied case covers all steps from mesh construction, flow model and transport model. Results are plotted on 2d and exported to 3d in Vtk format.
Read MoreOne of the promises of the Voronoi meshes on MODFLOW6 Disv is the efficient distribution of cell sizes that allows us to reach small sizes on certain areas of high interest like wells while keeping coarse cells on the areas with lower level of interest. This type of meshing has some issues that now are addressed on mf6Voronoi.
Read MoreSometimes regional models are required as an input for local models of flow and transport. This is an applied case of the groundwater modeling on the regional scale in the state of Guerrero, Mexico that will be the input for future local models of pit dewatering, and contaminant transport from the tailings dam and waste dump. The groundwater model is built with MODFLOW6 and mf6Voronoi on a series of Jupyter Notebooks and results are plotted with Paraview.
Read MoreOne of the key objectives from groundwater modeling in mining is the determination of pit inflows and the extension of the depression cone. This tutorial shows an applied case of determination of a depression cone from an open pit model built with MODFLOW6, Flopy and mf6Voronoi. The model has faults and the tutorial covers all steps from model import, data processing and export of geospatial data from the depression cone.
Read MoreThe interaction of faults with the groundwater flow regimen on an open pit is a challenge on the conceptualization and simulation. Having smaller cells on the faults alignment with higher K can represent the general behaviour of faults and this is possible to simulate with MODFLOW 6 Voronoi models with Flopy and mf6Voronoi package. We have created a tutorial that implements faults on the area of influence from an open pit and defines zone budgets for the pit and drainage network.
Read MoreBesides counting crops we can also delineate plants and calculate its leaf area by using methods that fit open or closed splines to lines or edges in an image. These methods are implemented on the Python library Scikit-Image and applied for the delineation of tree canopies over a geospatial raster image. The exercise is developed in a Jupyter notebook and covers all steps from image import, apply grayscale, explore gaussian filter, calculate active contour and export polygons as ESRI shapefile. Finally, there is an histogram generation to determine the distribution of leaf area from plants.
Read MoreSpatial analysis and machine learning sometimes require massive coding in order to achieve decent results such as identifying plants from a drone orthophoto. We wanted to create a simple workflow for beginner and intermediate Python users to work with these libraries without much pain or frustration. This tutorial has the complete procedure to use a new Python package called hatariTools that recognizes plants from an orthophoto based on sample points and creates intermediate plots and identifies plants as point shapefiles.
Read MoreHatarilabs presents its educational program designed for mastering Python in real professional and academic environments. The program has an extensive practical work that goes from the basic concepts of Python, Numpy and Pandas to specific applications in water resources and geosciences coupled with geospatial analysis and machine learning.
We have designed a complete program on MODFLOW with Model Muse that ranges from the essential topics in flow and transport modeling to applied cases of regional modeling, infrastructure projects, and seawater intrusion. MODFLOW with Model Muse is a recent open-source software that provides various tools for simulating the groundwater flow regime in different environments.
This program is designed to provide systematical learning from the most basic and general topics to intermediate and advanced topics, allowing the student to understand the various steps in developing hydrological models using the SWAT+ interface for QGIS. This program has a series of theoretical and practical concepts that allow the student to process spatial data, manage meteorological databases, build hydrological models, develop sensitivity analyses, and perform manual and automatic calibrations using versatile tools such as SWAT+ Toolbox, SQLite, and Python.
ONLINE COURSES:
Phreeqc is a software developed by the USGS written in C++ capable of modeling a variety of aqueous geochemical processes such as mixing of waters, modeling equilibrium between solid and aqueous phase, modeling impact of temperature, calculation of element concentration among others.
Hatarilabs has developed an applied and unique course of Phreeqc integrated with Python undes a class (object type) that can run, parse and provide Phreeqc output as Pandas dataframes and integrate it to plots and further analysis with other Python libraries on a Jupyter notebook.
HEC-RAS is a software designed to perform hydraulic 1D and 2D calculations on river channels either natural or man constructed. It allows steady flow, unsteady flow, sediment transport and water quality modelling. It is developed by the US army corps of engineers, US Department of defence and it is openly available software. The HEC-RAS steady flow is based on one dimensional energy equation, while for the unsteady flow, HEC-RAS uses an implicit, finite difference method to solve the fully dynamic Saint-Venant equations.
The objective of HEC-RAS is to solve river dynamics and river engineering problems. Applications are delimitation of flood areas, embankment and protection work design, river restoration, emergency plans for dam break, optimization of hydraulic work and risk assessment and management.
This course develops the main functions and applications of the latest version of the MODFLOW 6 groundwater modeling code through the ModelMuse interface, both developed by the United States Geological Survey (USGS). This version includes innovative tools for the construction and simulation of hydrogeological models, mainly highlighting the incorporation of the discretization option for discretized by vertices grids.
The development of machine learning and geospatial libraries in Python as Scikit Image, Rasterio and Fiona gave us a new range of tools to analyze vegetation from traditional sources as satellite imagery and new sources as drone orthophotos. The appliance of Python programming for crop identification depends on many factors such as the image resolution, the vegetation stage and even the algorithm setup.
We have developed a course crop identification / delineation with geospatial and machine learning tools of Python, the course is aimed to GIS or related professionals that have basic Python knowledge. The course covers the introductory concepts of the geospatial libraries and a series of machine learning applications for crop indentification in olive trees, palms, agave and corn fields.
Note:
This course is for professionals with previous knowledge of Python. Basic concepts of Python programming will not be covered in the lessons and course material. In case you don’t have any knowledge of Python, we recommend you to take this online course.
The Hydrologic Modeling System (HEC-HMS) is a free program developed by the US Corps of Engineers that implements a series of hydrological methods to represent different physical processes of the water cycle.
HEC-HMS also includes procedures necessary for continuous simulation including evapotranspiration, infiltration, hydrological routing and soil moisture accounting. The tools and options of HEC HMS make it a very versatile and powerful software for the hydrological simulation of different scenarios such as extreme events in arid regions, or water balances in wet climates.
Hatarilabs offers the online course of Hydrological Modeling with HEC-HMS for students and professionals of any country. The course is focused on theory and practical to know the different HEC-HMS tools and its application to the hydrological modeling.
Hatarilabs offers the online course of Hydrological Modeling with QSWAT for students and professionals of any country. The course is focused on the acquisition and preprocessing of data for SWAT+ using QGIS 3.4 for develop hydrological watershed modeling.
This course covers the whole procedure of developing regional groundwater models through the ModelMuse interface, including the model construction, boundary conditions, parameter assignment, model simulation, results analysis and visualization, and model calibration. Flopy is also introduced in the course to import, create, refine and simulate the model as in ModelMuse. Two basins with different aquifer setting and boundary conditions are used as case studies to demonstrate the use of these tools so that the participants learn how to build these models and analyze the results for future decision-making.
Evaluation of long term impacts of the mining activity is a key topic on the public concern and regulatory and sustainability policies. Due to the scale of the mining projects and the different related activities, impacts could be made to several parts of the physical environment. Groundwater modeling is a useful tool for the simulation of mine closure impacts to the groundwater flow system and groundwater quality. Hatarilabs has developed an applied course about the simulation, calibration, representation and impact analysis of a waste dump closure on the environment and water bodies with a long term scope (closure and post closure). The course will be given on Model Muse for flow and contaminant transport modeling and scripts in Flopy for model calibration, water balance analysis and evaluation of remediation techniques performance.
This course is focused on how to use the different packages related to numerical tools, data analysis, representation of graphs, and others. Many of these tools are applicable to the field of Hydrology in the preparation of data for hydrological models, statistical analysis of hydrological parameters and model result representation.
Graphical user interfaces (GUIs) are commonly used to construct and post-process numerical groundwater flow. Flopy is the Python library that builds and executes MODFLOW models; this library has tools and options for the complete geo-referencing of a MODFLOW model.
Python is a simple and powerful programming language; its simplicity is remarkable compared to other programming languages and its power is based on the number of tools available for different areas of study.
Use of Python with the available scientific packages and FloPy, facilitates data exploration, alternative model evaluations and model analyses that can be difficult to perform with GUIs. One advantage of Flopy and Python is that there are many packages available to facilitate the model development process, including packages for plotting, array manipulation, optimization, and data analysis.
This course allows acquired knowledge of the open source programming language to construct model input files, run the model, and read and plot simulation results.
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This tutorial demonstrates how to connect to a SensorThings API FROST server using Python to retrieve, inspect, and visualize IoT sensor datastreams. After setting up the server connection and querying datastream details such as units and observation counts, the notebook extracts time-series observations using paginated REST requests and loads them into a Pandas DataFrame. Following the data preparation phase, the script produces a series of continuous time-series line charts using Matplotlib and Seaborn, displaying the chronological trend of air temperature measurements recorded over time.
This tutorial demonstrates how to build and simulate a groundwater model focused on river-aquifer interactions using open-source software. The workflow begins in mf6Voronoi Studio, where a Voronoi grid mesh is generated to capture complex spatial geometries efficiently. The mesh is then imported into ModelMuse, where key aquifer properties and essential boundary conditions—including general head, river, well, recharge, and evapotranspiration—are configured. After running the model, the simulated results are evaluated through an analysis of the water balance and head distribution.
In this tutorial we introduce mf6Voronoi, a specialized tool for generating optimized Voronoi meshes for regional groundwater models capable of spanning thousand of square kilometers. The video demonstrates how to set up and run a Python script using Anaconda Prompt, leveraging Dask parallel processing to refine mesh resolution along key rivers and riparian ecosystems while maintaining a coarse discretization elsewhere. By utilizing multi-core computing, the workflow reduces total mesh generation time by approximately 40–45%, delivering a high-resolution, multi-scale MODFLOW 6 mesh consisting of over 150,000 cells in just a few minutes.
In this Hatarilabs tutorial, viewers learn how to access and query live environmental sensor data using Python and the OGC SensorThings API standard. The video walks through setting up a Jupyter Notebook environment to interact with a FROST-Server, explaining key SensorThings API concepts—including Things, Sensors, Observed Properties, and DataStreams. Using packages such as requests, pandas, and datetime, the session demonstrates how to apply API parameters like $top, $skip, $orderby, and $expand to efficiently filter and retrieve time-series observations, culminating in a data frame visualization of temperature readings from a live outdoor sensor.
In this tutorial, we demonstrate how to build a regional groundwater flow model of an Andean basin using MF6Voronoi Studio and ModelMuse.
Generating flexible, non-rectangular meshes has historically been one of the most challenging steps in Modflow 6 modeling. MF6Voronoi Studio addresses this by providing a graphical interface for Python-based Voronoi mesh generation (DISV), allowing high-resolution cell refinement along river networks while maintaining a coarse mesh across the broader basin.
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FloPy is the Python library that builds and executes MODFLOW models; this library has been enhanced to provide full support of MODFLOW 6 with most of its recent development is related to functionality for MODFLOW 6, tools to use vector and raster spatial data and common plotting and export functionality.