Never before the process of watershed delimitation became so easy. We have developed an online tool for basin and river network extraction from a geospatial raster and export them as ESRI shapefiles. This app allows to process a river basin in few steps on a extremely friendly environment.
Read MoreIf you have a geological contact as a geospatial and you want to calculate/measure the strike and dip at a certain point, this tutorial might help you. The ThreePointMethod is a QGIS plugin that calculates a plane strike and dip direction using the three-point method. It works with a point shapefile and a digital elevation model.
Read MoreThis can also be a title for this article: Are hydrogeologist/numerical modelers fundamentally alone? We can define "loneliness" in many different ways that range into different stages of human behavior. As we are not in a discussion of what Kant could have defined loneliness, let's define it in a practical way that you are alone as not you are not with someone. This is kind of a definition like: you are because you are not what you aren't.
Read MoreGeospatial mapping of environmental variables is key to understand habitats and in this case urban habitats. We have done research in temperature mapping stored in the cloud with Raspberrys and a Istsos server, this time we have coupled a gps sensor to make urban temperature map from the data retrieved from the server. This tutorial shows the procedure to retrieve the data, convert it to a geopandas datagrame, export as ESRI shapefile and undertand the temperature distribution relation with the land cover.
Read MoreGempy is an open-source library for modeling geology written in Python. The library is capable of creating complex 3D geological models including structures, fault networks, and unconformities and it can be coupled with uncertainty analysis.
This tutorial is developed under a Ubuntu 20.04.2 image installed from the Windows Store and covers all the steps to setup the user, install core packages, install Python packages and set up local paths to have a complete Gempy enviroment running under Jupyter lab.
Read MoreWe dont call this article a tutorial since not all steps of the sensor settings would be explained. It might be the idea of this article to show the general panorama of the sensor installation on a Raspberry Pi under the Istsos framework that implements the SOS standard.
Read MoreThis tutorial covers a simulation example of groundwater flow and groundwater discharge with the GroundwaterDupuitPercolator component of Landlab. Simulation is run on steady state over a one layer aquifer and results are plotted on charts and grids.
Read MoreBased on the several components of Landlab together with other Python packages some procedures can be established to extract single or multiple stream networks from a digital elevation model (DEM) raster and export them as vector spatial data formats as ESRI shapefiles or plot them in Jupyter Lab.
Read MoreThis tutorial covers the complete procedure to create a land cover change raster from a comparison of generated vegetation index (NDVI) rasters by the use of Python and the Numpy and Rasterio libraries. Results of the NDVI for given years and NDVI change are plotted on Jupyter Lab as color grid and contour grid.
Read MoreSurface analysis at regional level requires a higher degree of calculation to assess several topics of land management. Usually those types of analysis over raster files were limited to GIS desktop software with results for a single raster and with limited options to create pixel value charts.
Python, Rasterio, Landlab and other high performance packages allow us to have another view of our surface elevation and evaluate different variables that were unthinkable over traditional GIS software. This tutorial shows the complete procedure to open a raster file with Rasterio, import as a Landlab model grid, fill sink and calculate the drainage area. Finally from the Landlab results a dataframe was constructed and the drainage areas were classified in intervals to be plotted on a boxplot with the steepest slope.
Read MoreFinally, a complete alternative for the simulation of seawater intrusion on fully geospatial groundwater flow models of coastal aquifers based on open source software. The groundwater flow model was constructed on the Tupac Cloud platform with two stress periods and a total simulation time of 40 years.
The Tupac project is downloaded and run locally on Anaconda where the Buy package for variable density flow together with the transport model are implemented on a Flopy script. A graphical representation of the grid, boundary conditions and results from the flow and transport models are developed as well on the Jupyter notebook.
Read MoreGeopandas is an amazing library for spatial analysis since it combines the spatial tools from Shapely and Fiona with the versatility of Pandas Dataframes. Rasterio is one of the most complete libraries to deal with raster files in Python.
We are aware that most geoscientists, water resources specialists and related professionals work on Windows, therefore we are always in the search of new ways to get Python working with all its geospatial capabilities in every computer.
Based on the new Anaconda releases now we can install Geopandas and Rasterio in a easy way.
Read MoreApplied case of regional groundwater modeling for a coastal aquifer with Modflow 6 using Voronoi meshes on Tupac Cloud. The aquifer has two stress periods (steady state and transient state) of 20 years each that simulate two phases of low/high aquifer exploitation. The model is constructed entirely from zipped shapefiles and rasters on the online platform. Results from the simulation are discussed on the water balances, water table distribution and cross section for all stress periods.
Read MoreA groundwater flow model is in fact a numerical construction that tries to represent the groundwater flow regime of a certain place with the relevant physical process conceptualized as boundary conditions. So we as humans, capable of developing machine learning algorithms and smartphones, tend to think that building and running a groundwater model is a natural process that will require us to follow certain steps and it would be completed in a certain time.
Read MoreTupac Cloud is based on Python and Flopy and every project can be downloaded to your machine for special analysis, furter Modflow 6 feature implementation, machine learning based calibration, or just because a local backup copy is required. This tutorial shows the complete procedure to download a Tupac Cloud project, the executable implementation, the scripts to run the flopy code and well as a description of the different files and folders from a model project.
Read MoreThis is an applied example of the impact trough time of a tunnel over the regional groundwater flow regime. The model has 5 stress periods with two variants of the drain (DRN) package implemented in Tupac Cloud. The tutorial covers all steps from model construction, boundary condition setup, model run and output data analysis.
Read MoreApplied case for the evaluation of a drainage schema on a construction site with Tupac Cloud. The model has three stress periods where the drainage schema starts with well pumping for 10 days and trench drainage with pumping for another 10 days. Results from the water balance were analyzed as well as the final distribution of head on the proposed construction site.
Read MoreLocal scale modeling of a 4 stage trench excavation on a coastal aquifer. The main objective of this modeling work is assessing the impact of the excavation on the nearby groundwater flow regime. The modeling work was done entirely with the tools, charts and tables from Tupac Cloud.
Read MoreApplied example of a regional model of a andean basins with boundary conditions of recharge (RCH), drain (DRN) and evapotranspiration (EVT). The groundwater model has confined and convertible layers with steady state and transient stress periods. The tutorial covers all steps of model construction, model simulation and model output analysis with the different online tools of Tupac Cloud.
Read MoreLastest developement in Tupac Cloud for the representation of head as contours and color grid. Both representations have a colorbar and title related to selected layer. Objects as boundary conditions and model mesh can be represented on the plots.
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
This guide covers the installation of MF6Voronoi Studio, a Python-based GUI for Modflow 6 Voronoi mesh generation developed by An Ho Taylor. Watch the video below to learn how to download the setup file, manage installation permissions, and launch the application.
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.
SEARCH
 |
 |
 |
 |
 |
 |
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.