With the upcoming release of mf6Voronoi v0.0.38, optimizing mesh generation workflows remains a top priority. Constructing complex unstructured Voronoi grids for MODFLOW 6 can become computationally intensive as spatial resolution increases. To address this challenge, parallel execution capabilities were introduced into mf6Voronoi leveraging dask-geopandas.
Read MoreThis tutorial walks hydrogeologists through the full workflow of automatic calibration of pumping test data using MODFLOW 6, ModelMuse, and PEST. A real pumping test scenario — comprising a 6-hour pumping phase and an 18-hour recovery phase — is set up in ModelMuse, where the well is conceptualized as a Multinode Aquifer Well (MAW) boundary condition to accurately represent multilayer aquifer interactions. PEST is then implemented to automatically estimate key hydraulic parameters including hydraulic conductivity, specific storage, and specific yield, eliminating tedious manual calibration and delivering reproducible, optimized results. Whether you're new to parameter estimation or looking to streamline your existing workflow, this tutorial offers a practical, hands-on guide to modern groundwater model calibration.
Read MoreThis is an applied example of seawater intrusion modeling using MODFLOW6 and the BUY package. The model is fully geospatial and works with ESRI Shapefiles and rasters (*.tif) as inputs. The model grid is based on Voronoi meshes generated with the Python package mf6Voronoi. Since there are so many concepts involved in the conceptualization of a variable density groundwater flow simulation with MODFLOW6 and Flopy, these cases use a code template from mf6Voronoi that simplifies the model construction and simulation. The applied case also gives us the chance to discuss the main parts of model setup.
Read MoreHaving a reasonable spatial distribution of the water table with few observation points is a challenge because the water table can't be above the surface. We wanted to develop a method where the computer learns not only about the position but also the surface to calculate the water table.
This is an applied example of water level interpolation based on a machine learning algorithm in Python with Scikit Learn. The code covers all steps from data compilation, regression formulation, accuracy testing and raster generation.
Read MoreIn mf6Voronoi horizontal flow barriers can be modeled as low k cells with thickness of 1m without compromising the cell amount and model performance. We have developed an applied case of construction site dewatering using horizontal drains and pumping wells that work in parallel over a period of 8 days. The model shows the performance of the drainage schema and exports the final water table as raster and contours.
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 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 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 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 MoreGroundwater modeling figures and related topics
Read MoreConstruction of complex and high performance groundwater modes requires an appropriate distribution of the hydrogeological units with depth. We have developed an applied case of 3D modeling of hydrogeological units from data provided as raster (*.tiff) files. The webinar all steps from orientation and elevation sampling from raster data, the conceptualization and setup of the Gempy model in Aquifer App and finally the postprocessing of the 3D lithology based on the surface elevation. The input data comes from the USGS research on the aquifer Systems in the Williston and Powder River Structural Basins, United States and Canada.
Read MoreBesides doing amazing tutorials in groundwater modeling with MODFLOW and Flopy we also have the most complete set of Flopy courses applied to different areas of groundwater resources evaluation and impact assessment. But, there is more: we have a whole program that trains you from zero knowlege of Python to develop fully featured groundwater flow models.
Read MoreWith Model Muse and MODFLOW6 DISV you can model faults and fractures having small cells close to the fracture alignment. In order to achieve small cell sizes close to the fracture aligment the normal MODFLO6 discretization schema (columns and rows) creates a series of unused/unwanted cells, but MODFLOW6 came with two new discretization options that allow us to have local refinements close to areas of interest decreasing the total amount of cells and thus the decreasing computational time.
Read MoreA practical example for constructing a geological model using Python and Aquifer App, based on geospatial data in ESRI Shapefile format and raster data in Tiff format. The tutorial demonstrates the complete procedure of spatial data processing using libraries such as Geopandas, Rasterio, and Pyvista to create surface and orientation files, which are then input into Aquifer App. Finally, the project is run locally in Gempy, generating the geometry of lithology and contacts.
Read MoreSpatial discretization for a mine related groundwater model has to come from geospatial data that has a system of reference (crs). The latest version of Modflow that is Modflow 6 implements the discretized by vertices option (DISV) that allows the creation of triangular, quadtree, voronoi meshes among other options. We have developed some Python scripts to create voronoi meshes from shapefiles where the user has to define a limit polygon, layers (point, line or polygon) and refinement levels. The code generates meshes with adequate performance and gives geospatial output for the final voronoi mesh as well as the intermediate steps.
Read MoreThe coupling of Python scripts with the Aquifer App platform allows us to generate geological models with a versatility not seen before. This is a basic example of regional geological modeling in Aquifer App with surface topography from a digital elevation model in TIF format. The tutorial also makes a 3D representation of the contacts and orientations of the one layer geology in a Jupyter notebook for better analysis of the geological sequence.
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.
LATEST POSTS
With the upcoming release of mf6Voronoi v0.0.38, optimizing mesh generation workflows remains a top priority. Constructing complex unstructured Voronoi grids for MODFLOW 6 can become computationally intensive as spatial resolution increases. To address this challenge, parallel execution capabilities were introduced into mf6Voronoi leveraging dask-geopandas.
This tutorial explores a powerful interactive GeoPandas tool that facilitates the visual analysis and representation of water chemistry data. Through this Python workflow, you can display sampling points over satellite imagery and various basemaps, map concentrations using automatic color scales, and adjust marker sizes based on analyzed parameters. This direct integration allows you to customize the variables displayed on hover, streamlining data evaluation for baseline studies or water pollution diagnostics.
Interpolating large volumes of spatial data through the QGIS graphical interface is often a headache: the process takes too long or, even worse, the program freezes while consuming all system resources. In this tutorial, we will show you how to interpolate nearly 2 million points in less than two minutes using the OSGeo4W Shell and GDAL commands with the IDW method. By creating a virtual layer file (.vrt), you will learn a highly efficient, reliable, and lightweight workflow that enables you to work with millions of data points without being constrained by the limits of the GUI.
This tutorial demonstrates how to accurately and efficiently extract the water surface elevation at a specific point from a HEC-RAS 2D unsteady flow model using Python in Jupyter Lab. Since water levels vary across the mesh and native software tools can limit automation, the author teaches how to open HDF5 output files (.hdf), load a point shapefile using GeoPandas, and apply a geospatial index K-d tree to locate the nearest computational cell. Finally, the time series data is processed to generate a water level hydrograph, which is essential for hydrogeological model calibration.
estimations of crop water requirements. This applied case offers a deep dive into modeling crop evapotranspiration using the standardized FAO-56 Dual Crop Coefficient methodology, implemented programmatically through Python.
Using a real-world case study of olive cultivation (Olea europaea) in the hyper-arid coastal desert of Bella Unión (Arequipa, Peru), we will demonstrate how to build an end-to-end hydrological data pipeline. Participants will learn how to integrate spatial data, process satellite-derived and weather station climate parameters, define soil-water-crop constraints, and simulate complex deficit drip-irrigation schedules.
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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.