This tutorial cover all the steps to build and run a geochemical model of a water sample in equilibrium with Fluorite and Gypsum. The tutorial explains the parameters to setup a mineral together with and analysis of the element concentrations, the amount of dissolved phases and the final saturation indices.
Read MorePython has awesome packages for machine learning that can be coupled to groundwater models and perform automatic calibration of hydraulic parameters. This tutorial covers the procedure to implement a neural network based on a set of parameters set with corresponding head values; the study case is on a transient pumping test model with an observation point located around 10 meters away from the pump well. The analysis predicts the calibration parameters from the spatially interpolated observed head values.
Read MoreWe did this tutorial since the documentation or examples on the topic were not available. Flopy can export the model grid and model attributes to shapefile with a coordinate system of reference for the three types of discretizations of MODFLOW 6. We have done an applied example to export the grid of a discretized by vertices model (DISV) to the ESRI Shapefile model. The tutorial also show options for the final grid representation in geopandas.
Read MoreNo more installations, no more database link up, no more raw text data as model output. Aquifer App now can run Phreeqc with great tools for the geochemical model setup, database selection and tables / graphics for the different simulation components.
This applied example calculates the distribution of aqueous species in seawater and the saturation state of seawater relative to a set of minerals and is based on the Example 1 of the USGS Phreeqc example documentation.
Read MoreThis tutorial covers the whole procedure to perform a sensitivity analysis over a 72 hour pumping test plus recovery on the hydraulic response in an observation piezometer located at 11 meters from the well. the Since the study case it’s a transient model the sensitivities will vary over time and stage of pumping/recovery.
Read MoreHaving a geological model can enhance numerical models since it allows to represent higher accuracy the potential distribution of hydraulic parameters in the horizontal and vertical direction. The process to implement/insert a geological model into a Modflow model is a challenge due to restrictions on proprietary software and spatial tools; we have done the whole procedure to insert a geological model into a MODFLOW-NWT groundwater model with scripts in Python, Pyvista and others.
The code extracts the cell centroids of the modflow model and then compares its position with the different geological units exported from Leapfrog to Vtk. Once the corresponding lithology of the cell is identified a hydraulic parameter is assigned. The tutorial works from Vtks of a geological model done in Leapfrog, but it can work with any Vtk.
Read MoreThis tutorial shows the complete procedure to convert a geological unit as a Leapfrog mesh (*.msh) to the VTK (Visualization Toolkit) format using Python and GemGIS. Follow these steps to seamlessly transfer your geological data for advanced visualization, analysis and comparison with other model results.
Read MoreBased on a coupled workflow on QGIS and Python it is possible to extract the required information for a Gempy model and run it for defined voxel sizes. This tutorial covers the whole procedure of spatial data preparation, data preprocessing in defined formats and geological modeling with Python and Gempy.
Read MoreGeoreferencing in Python has the advantage that it can be performed repeatedly without the need to define control points each time. It also allows you to add/remove control points and observe the impact on the transformation array. This tutorial demonstrates the complete georeferencing process of a national map using 3 points whose pixel coordinates have been extracted from the Paint utility in Windows. The tutorial also exports the raster while assigning a reference system.
Read MoreWe have done an applied groundwater model for a pumping test on a confined aquifer. The wellsite is located on the Clairborne aquifer (Georgia, USA) and has two observations on different layers besides the well itself. The aquifer test has two periods of pumping and recovery that last 3 days each one and the numerical model was constructed with MODFLOW-6 based on a Python script with the FloPy package. Comparison among observed and simulated wells were done with plots in Matplotlib.
Read MoreLithium interaction with the aqueous phase on brines phase is not well understood or at least not well covered by the scientific publications. To evaluate brine composition, brine dynamics and the interaction of the different components is really a challenge with the available tools for geochemical modeling as Phreeqc since it doesn’t appear in all the databases and in most it is only associated with sulfates.
Read MoreIf you want to speed up some steps in groundwater modeling you might be interested in the tools presented on this tutorial. We have developed some online tools that replace intense and time consuming tasks on desktop software and web servers and provide vector and raster data on the formats required by Model Muse. The tutorial covers the steps of DEM generation as Surfer Grid File (*.grd) with the definition of watersheds and river network based on two online services provided by Hatarilabs.
Read MoreModflow 6 has changed in many ways the traditional concepts of groundwater modeling; now a group of models can run under a "simulation" and these models can interchange flow and transport. Under this structure Flopy has implemented a tool to split a groundwater model into several models where their results can be reconstructed and compared to the original entire models. Capabilities and features like this make Flopy and Modflow 6 a great tool for developing advanced groundwater models that simulate complicated tasks or requirements to the groundwater flow regime.
Read MoreLarge amount of spatial data is indexed and delivered through files in Hierarchical Data Format (HDF). These files are compatible with desktop GIS software as QGIS but they are not so easy to open/read/process with standard Python libraries as Rasterio, or with dedicated libraries. On our research we found the spatial functionality on the powerful GDAL binaries and library for Python.
Read MoreOrthophoto from drones provide us aerial imagery with spatial resolution in the scale of centimeters. With this high definition and cheap orthophotos we can interpret, analyze and quantify objects on a horizontal distribution by means of machine learning libraries for image recognition and cluster analysis.
Read MoreEvaluation of environmental processes requires a spatial temporal approach with the right tools to represent, process and analyze raster data. The process of satellite imagery selection on a web server is highly manual with limited options to manage an intensive amount of datasets. There are packages available to download certain Nasa imagery with Python, but the Earthaccess library allows users to download different dataset with options to login, select by time and location, and define folders to download data.
We have done a complete process to download actual evapotranspiration (MYD16A2) imagery with Python and Earthaccess for a given period and location. The files are stored in a folder and represented with QGIS.
Read MoreWe present our own webapp for the representation of the Piper Diagram, Stiff Diagram and Scholler Diagram. The webapp was developed in Python Django and it is entirely free for everyone. The main objective behind this webapp was to develop a user friendly and minimum requirement tool to create these water quality / hidrogeochemical diagrams. The video tutorial shows the complete procedure to update the working file and then generate the diagrams.
Read MoreHatari Utils is our app for different hydrological analysis. The app provides the geometry of the basin, river network and main river as ESRI shapefiles and based on the output from the delineation we can determine the Time of Concentration under several formulas. The app also gives the mean and median of all time results.
Read MoreModeling flow on open channels and simulating water mixing to evaluate the final concentrations and mixing area was a hard task with conventional open source software. Based on our research and app development we came up with a process to model flow of water and effluent mixing and then calculate the mass flux with the initial concentration of certain chemical components to have a fully 3d simulation of the concentration development with time and distance from source.
Read MoreThe processes of working with digital elevation models (DEMs) and watershed delineation are in constant change over time. Even though the elevation datasets date from 10 years ago; the web servers and tools for data processing have changed in recent years. With online tools such as Hatari Utils, the watershed delineation can be performed in a few steps with practical outputs as vector files and watershed statistics.
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