The United States Geological Survey (USGS) has just released a new MODFLOW version: MODFLOW-6. This one comes with new functionalities to make it easier to create input files and perform simulations. Among the downloaded MODFLOW-6 files, there is an executable file to convert MODFLOW-2005 files to the new MODFLOW-6 format. In this tutorial we will show you how to do this.
Read MoreIn case you missed or want to see again our webminar streamed on May 15th, 2017 , here you can find the recorded video.
Read MoreMODFLOW is a versatil and applied computer code written in Fortran capable of modeling groundwater flow on steady and transient conditions. MODFLOW can simulate a diverse sort of groundwater flow management cases due to its packages and solvers. This tutorial shows the application of MODFLOW for the simulation of radial drains in a mine tailings facility. The simulation considers 16 drains of 60 m length over a simulation period of 1000 days.
Read MoreNowadays, water resources management requires a better understanding of nature and a superior evaluation of the impacts caused by humans. We are concerned and focused on sustainability because we live on a planet with limited resources and changing environments. In some way, we know that the actual changes are results from past and present actions along with the effect of nature cycles.
Read MoreIf we want to talk about concentrations, solutes and contaminant transport in groundwater, we need to mention the Source/Sink concepts and natural concentrations in groundwater. Sources represent solute mass entering the system, which could be representing spills or natural lixiviation processes. Sinks are the zones where water with solute concentrations leave the system.
Read MoreQuick tutorial for the simulation of a contaminant plume from a waste dump
Read MoreQuick tutorial for the numerical modeling of groundwater flow regime for an andean basin.
Read MoreHow to simulate impact from pit latrines on water wells with MODFLOW - MT3DMS
Read MoreHow to interpolate elevation values on Model Muse - VIDEO
Read MoreDefinition of layer thickness and hydraulic conductivities on Model Muse
Read MoreTutorial to create a MODFLOW Grid by shapefile and import elevation
Read MoreInteresting modeling exercise of groundwater well interference with MODFLOW. This tutorial is made from the ground up with the input files and a discussion over the results. Three pumping were considered with rates form 5 to 10 l/s. Simulation period was set up to 15 years and interference was analysed over 1, 3, 5,10 and 15 years.
Read MoreInteresting tutorial for the transformation of a 3D numerical groundwater flow model done with MODFLOW into a lightweight 2D model. The case of study is a groundwater flow model of tailing seepage done with horizontal discretization from 50 to 12.5m and 21 layers. The tutorial cover spatial object and dataset treatment together with some discussion on the model construction and discretization.
Read MoreContinue exploitation of groundwater in arid climates generates extreme scenarios of groundwater flow and storage. As pumping rate increase, inflows from recharge, storage and seawater increase. With time, seawater is introduced into the aquifer, reaching its wells and affecting water quality.
Read MoreMODFLOW is a software for groundwater modeling developed by the USGS. The software is capable of representing conditions related to groundwater flow such as evapotranspiration, recharge, drainage, river interaction among others. Its finite different approach gives the capability to calculate the flow regime with exceptional control on water budget discrepancy. With MODFLOW one can rely on that the flow going in the model is the same as the flow going out of it, from the regional scale and on cross sections.
Read MoreGroundwater modelling can be done on multiple temporal and spatial scales, from a laboratory setup to a complete basin, from steady-state to thousands of years. Each modelling requirement has a specific discretization and boundary condition setup. This tutorial cover a regional groundwater modelling example on a andean basin on steady state conditions, the tutorial covers the whole set of modelling steps as grid generation and elevation import as well as the model simulation and result evaluation. Numerical modelling was done in open source software as MODFLOW with Model Muse, both developed by the USGS.
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.
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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.