One 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 MoreThis tutorial show the complete workflow to determine flow directions from a MODFLOW model done with Model Muse with the Mf6Voronoi utility FlowVectorGenerator that represent flow direction vectors in a Matplotlib figure. The function works not only with normal Modflow6 Dis models like the generated by Model Muse but also with Voronoi based Modflow6 Disv models. There is a capability to insert background images and other functionalities, however the styling options are closed in order to preserve the artistic style of the plot.
Read MoreThis is an applied of land cover dynamic analysis over some regions of Turkey for the evaluation of land aridification and land abandonment due to climate change on the last decade. The case covers all the steps in Python with related geospatial libraries to process Sentinel 2 images for an area of study with considerations of hydrological conditions and reduction of outlier values.
Read MoreApplied example for Phreeqc simulation with multiple parameter values with Python and its new library hatariTools. This example explores the simulation and analysis of calcite from different values of PCO2(g) on a Jupyter Notebook and creates a graphical representation of the Calcite molality vs PCO2(g) in Matplotlib.
Read MoreModel Muse is an awesome tool for groundwater model construction and output visualization, however its graphical capabilities are quite limited. Since we are always on the search of bringing groundwater model ‘close’ to the stakeholder, normal audience and coming generations, there is a special interest in providing complementary tools for the normal workflow with Model Muse and Modflow6 that allows the normal user to create awesome 3D objects representing:
Read MoreThis applied case presents a step-by-step methodology to simulate groundwater inflow into an open pit using MODFLOW 6—the groundwater flow modeling engine developed by the USGS—in combination with mv6Voronoi, a tool that generates Voronoi meshes.
Read MoreBecause an image is worth a thousand words, and 3D visualization is key for explaining, sharing, and analyzing groundwater model parameters, boundaries and results. The Python package mf6Voronoi offers a structured workflow to generate 3D spatial files on VTK format for the representation of the model parameters, water table, head distribution and others that can be plotted on Paraview. This is an applied case of 3D representation for a andean basin groundwater flow model where we are going to explore the relevant tools and options of mf6Voronoi and Paraview.
Read MoreIn this tutorial, we'll walk you through step-by-step how to install Rust inside your WSL environment. Whether you're completely new to WSL, or just want a clean Rust setup, this guide will have you up and running in no time. We'll cover installing WSL, setting up your Linux (Ubuntu) distribution, and installing Rust.
Read MoreThere is a plugin for Visual Studio Code that improves MODFLOW 6 model readability. The installation process is quite easy and works for any model without any additional setting or command. This is an applied case of the plugin installation and exploration of a MODFLOW 6 model for a andean basin.
Read MoreAn applied example of modeling the development of underground mine works with time based on a Voronoi mesh MOFLOW 6 model. The case consists of 5 mine levels developed over 5 years that cross the underground water body at determined lengths. The numerical model is developed with Python, Flopy and Mf6Voronoi for spatial discretization, implementation of the boundary conditions based on geospatial data, model build/simulation and 3d representation on Paraview.
Read MoreYou can work faster and have more time to analyze model results if the process of model creation takes less time. The design of the mf6Voronoi package is oriented to create an improved user experience by optimizing the options of mesh creation and by the implementation of Python script templates for meshing, model construction, and others. This is an applied case of groundwater modeling on a regional scale with Voronoi mesh built on MF6 Disv. The template can be easily customizable to other boundary conditions and will be the basis of coming tutorials and webinars.
Read MoreThere is a new dataset from the European Space Agency (ESA) called Copernicous DEM (GLO-30) that has global coverage with raster resolution of 30m available to download from the Copernicous Dataspace. We have prepared an applied case to access this dataset, download and clip for an area of study and process it into Hatari Utils that provides the watershed and river network delineation on spatial format. The example also covers the options to determine the accumulation area and explore other outputs from the platform.
Read MoreThis example develops a groundwater model in MODFLOW6 DISV that implements a Voronoi mesh generated from the basin boundary and river network with the mf6Voronoi packages that allow high performance meshing fully coupled with geospatial data. On the Voronoi mesh, the refinement levels are defined by a minimum cell size, maximum cell size and a multiplier. The applied case covers all steps on model discretization, construction, simulation and 2D visualization.
Read MoreGroundwater modeling figures and related topics
Read MoreBasic example of MODFLOW 6 groundwater flow modeling with Flopy. The model is multilayered and runs on transient conditions with the recharge, well and river boundary conditions implemented. The example also load model results and create head distributions with flow direction plots with Matplotlib.
The example runs entirely on the Google Colab platform with the use of a Github repository with the MODFLOW 6 executables. This workflow is intended to give a complete online experience of groundwater modeling without any particular computer/software requirement.
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