Hatari Water

Sharing open source software on water resources and more!

[hatariwater]

Webminar: Open Source Software for Groundwater Modeling: The MODFLOW/QGIS Stack -18 August 2016

Hosted by: CSIRO

Link:  https://csiro.webex.com/csiro/j.php?MTID=m8740fe4537479e1c9c7ea8b3d87e35c0

Presenter: Saul Montoya Ph.D.Cand M.Sc.

Affiliation: Hydrogeologist - Numerical Modeler, Gidahatari, Peru

Date:  Thursday, 18 August 2016 | 9:00 am Australia Western Time (GMT+08:00)

Abstract

MODFLOW 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.The latest, open source and most comprehensive pre-processing software is MODEL MUSE, which implements most features of MODFLOW and MT3DMS. QGIS is a open source Geographical Information System (GIS) software with high capabilities for processing the spatial data related to model construction and model output.

This webminar will show different modeling cases of MODFLOW / Model Muse / QGIS related to agriculture, mining, tunneling and wants to show the current capabilities of Open Source Software to address key issues on the groundwater management. 

About the speaker

Mr. Montoya is a Civil Engineer graduated from the Catholic University in Lima with postgraduate studies in Management and Engineering of Water Resources (WAREM Program) from Stuttgart University – Germany with mention in Groundwater Engineering and Hydroinformatics.Mr Montoya has a strong analytical capacity for the interpretation, conceptualization and modeling of the surface and underground water cycle and their interaction. 

He is in charge of numerical modeling for contaminant transport and remediation systems of contaminated sites. Inside his hydrological and hydrogeological investigations Mr. Montoya has developed an holistic comprehension of the water cycle, understanding and quantifying the main hydrological dynamic process of precipitation, runoff, evaporation and recharge to the groundwater system.

[hatariwater]

Regional Groundwater Modeling with MODFLOW and Model Muse

This video considers the construction of a regional groundwater model from scratch. Data entry will shapefiles and raster files.

Content

The video will include the following tasks:

Grid generation from shapefiles

Aquifer and boundary condition conceptualization

Hydrogeologic units parametrization by shapefile

Import elevation from a AsterDEM

Recharge determination from precipitation rasters

Wetlands assessment form satellite images and model hydraulic heads

Groundwater water balance analysis

The agenda is interesting and applied for the study of groundwater at basin scale.

Requirements

This video is from intermediate level, there are some requirements to the participants:

Have installed MODFLOW with MODEL MUSE. Here is a link with instructions:

http://hatariwater.tumblr.com/post/137885412314/tutorial-to-install-modflow-with-model-muse

Do the following tutorials:

http://hatariwater.tumblr.com/post/147494545644/basic-concepts-of-groundwater-modeling-with

http://hatariwater.tumblr.com/post/139023892834/tutorial-for-regional-groundwater-flow-modeling

http://hatariwater.tumblr.com/post/140696934634/how-to-simulate-impact-from-pit-latrines-on-water

And review the Model Muse videos from Richard Winston:

http://water.usgs.gov/nrp/gwsoftware/ModelMuse/ModelMuseVideos.html

Video

Required Data

Download the required data from this link:

https://github.com/SaulMontoya/Modelamiento-Regional-de-Aguas-Subterr-neas-con-MODFLOW-

[hatariwater]

Webminar on Regional Groundwater Modeling with Geology on MODFLOW and Model Muse - August, 04 2016

This webminar considers the construction of a regional groundwater model from scratch. Data entry will shapefiles and raster files.

Content

The webminar will include the following tasks:

Grid generation from shapefiles

Aquifer and boundary condition conceptualization

Hydrogeologic units parametrization by shapefile

Import elevation from a AsterDEM

Recharge determination from precipitation rasters

Wetlands assessment form satellite images and model hydraulic heads

Groundwater water balance analysis

The agenda is interesting and applied for the study of groundwater at basin scale.

Requirements

This webminar is from intermediate level, there are some requirements to the participants:

Have installed MODFLOW with MODEL MUSE. Here is a link with instructions:

http://hatariwater.tumblr.com/post/137885412314/tutorial-to-install-modflow-with-model-muse

Do the following tutorials:

http://hatariwater.tumblr.com/post/147494545644/basic-concepts-of-groundwater-modeling-with

http://hatariwater.tumblr.com/post/139023892834/tutorial-for-regional-groundwater-flow-modeling

http://hatariwater.tumblr.com/post/140696934634/how-to-simulate-impact-from-pit-latrines-on-water

And review the Model Muse videos from Richard Winston:

http://water.usgs.gov/nrp/gwsoftware/ModelMuse/ModelMuseVideos.html

Please assure to have a good internet connection and that your computer have the required software. Basic concepts of hydrogeology and modeling wont be explained on this webminar.

If your modeling skills are basic we would suggest to see the webminar video that will be posted on this blog.

Instructor

Senior Hidrogeologist – Numerical Modeler

Mr. Montoya is a Civil Engineer graduated from the Catholic University in Lima with postgraduate studies in Management and Engineering of Water Resources (WAREM Program) from Stuttgart University – Germany with mention in Groundwater Engineering and Hydroinformatics. 

He is an expert on the different tools for numerical groundwater modeling and distributed hydrological modeling, besides other softwares for water resources management and spatial data analysis. Mr. Montoya is related to programming and develops algorithms for the hydraulic parameters analysis, as well as specific coding for the water-surface interaction.

Mr. Montoya has done research on the regional flow on the Arabic Peninsula. In Peru, he has a wide experience on mining hidrogeology. For more than 7 years he has been involved on several projects regarding baseline studies, environmental impact studies, mine closure planning, impact assessment of the mining projects on the water resources, evaluation form seepage of tailings dams and water dumps, impact assess of reinjection systems, water inflow estimation to open pits and tunnels, and monitoring network design.

More information: http://gidahatari.com/eq-en/saul-montoya-msc

Date

August, 04 2016 at 16:00 Lima time (GMT-5)

The webminar will be held by google hangout and recorded as a video on our Youtube channel. This webminar is free. 

There are:

9 Places

Please remember this webminar is for intermediate modeling users.

To signup please send a email to: [email protected] with your data: Name/Degree/Organization/Modflow expertise

4 days before the webminar you will be requiere to confirm your participation by email.

[hatariwater]

Basic Concepts of Groundwater Modeling with MODFLOW and Model Muse

MODFLOW 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.

MODFLOW was designed to calculate water heads and groundwater flow regimes, and it can be coupled with a strong transport model as MT3DMS. A good tool for particle tracking modeling is MODPATH, this software is capable of calculating flow lines and time related to particles on groundwater flow.

The latest and most comprehensive pre-processing software is MODEL MUSE, which implements most features of MODFLOW and MT3DMS.

MODEL MUSE has a high performance due to the “design by objects” concept that optimizes the conceptualization of boundary conditions edges and other hydraulic parameters, reducing model construction time and improves output data interpretation.

Content

This video cover the following topics:

MODFLOW and Model Muse basic concepts

Graphical user interface and menus

Set up of hydrogeological parameters

Review of available solver methods

Exercise of groundwater flow modeling on steady state

Concepts of contaminant transport modeling

It is required to have installed MODFLOW with MODEL MUSE. Here is a link with instructions: http://hatariwater.tumblr.com/post/137885412314/tutorial-to-install-modflow-with-model-muse

Video

[hatariwater]

Tutorial Seawater Intrusion in Coastal Aquifers with MODFLOW-SWI2

Continue 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. This tutorial shows the impact of intense groundwater exploitation of 50 wells in a simulation period of 60 years.

Video

Model Data

Download the required data for this tutorial on this link:

https://github.com/SaulMontoya/Tutorial-Intrusi-n-Salina-en-Acu-feros-Costeros-con-MODFLOW-SWI2

[hatariwater]

Webminar on Groundwater Modeling with MODFLOW and Model Muse - July, 14 2016

Webminar Full - No more places 

MODFLOW 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.

MODFLOW was designed to calculate water heads and groundwater flow regimes, and it can be coupled with a strong transport model as MT3DMS. A good tool for particle tracking modeling is MODPATH, this software is capable of calculating flow lines and time related to particles on groundwater flow.

The latest and most comprehensive pre-processing software is MODEL MUSE, which implements most features of MODFLOW and MT3DMS. 

MODEL MUSE has a high performance due to the "design by objects" concept that optimizes the conceptualization of boundary conditions edges and other hydraulic parameters, reducing model construction time and improves output data interpretation.

Content

This online workshop cover the following topics:

MODFLOW and Model Muse basic concepts

Graphical user interface and menus

Set up of hydrogeological parameters

Review of available solver methods

Exercise of groundwater flow modeling on steady state

Concepts of contaminant transport modeling

It is required to have installed MODFLOW with MODEL MUSE. Here is a link with instructions:

http://hatariwater.tumblr.com/post/137885412314/tutorial-to-install-modflow-with-model-muse

Date

July, 14 2016 at 16:00 Lima time (GMT-5)

The webminar will be held by google hangout and recorded as a video on our Youtube channel. This webminar is free.

There are:

Webminar Full - No more places

To signup please send a email to: [email protected] with your data: Name/Degree/Organization/Modflow expertise

[hatariwater]

Tutorial to transform a 3D into a 2D Dam Seepage Model with MODFLOW

Interesting 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.

Video

Model Data

You can download the input data from this links:

Tailing Dam

Tailing Dam Simple

Tailing Dam Simple Objects

Tailing Dam Simple Objects Slice 

[hatariwater]

Tutorial: Well Interference Modeling and Interpretation with  MODFLOW

Interesting 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.

Video

Modeling Files

You can download the modeling files from this links:

Initial Data

http://gidahatari.com/s/Interferencia_Inicial.rar

Model Data

http://gidahatari.com/s/Interferencia_ModeloConstruido.rar

Simulation Data

http://gidahatari.com/s/Interferencia_ModeloSimulado.rar

[hatariwater]

How to probe your MODFLOW modeling skills?

Follower: Over the past couple of weeks I have intensively studied the tutorials, groundwater modeling blogs, and usgs links you have posted on the hatariwater tumblr site. I cannot thank you enough for provided such easy to follow and concise videos. They have completely opened my eyes to a whole new section of hydrology that I didn't know even existed.

Unfortunately, my current problem is that I don't know how to continue my studies in groundwater modeling/modflow. It would be a dream come true to be able to work with modflow in my future career, but it seems that companies are not likely to hire a novice. Do you have any guides or suggestions that could help me out? Thank you again for your time!

Hatari Water: I would suggest to pursue a master degree, or to do your thesis on a real basin scale model. Publish a couple of papers and then make a good and impressive cv. There are a lot of "modelers" around, but few with proved experience.

Follower: Absolutely, I completely agree. Is there a particular reason to use a real basin scale model? I also noticed that modflow is written in fortran. I've learned how to program in Python and Java for a couple of my courses UCSB. How helpful would knowing fortran be? My goal is to eventually be able to create my own groundwater model or at least modify existing ones.

Hatari Water: There is no need to learn Fortran. So far we have Python skills, but only for data processing. Regional groundwater modeling is a good exercise. If you probe your that you can calibrate a model with transient data over 30 piezometers and 3 baseflow stations, you will certain have good choice to be elegible as modeler.

[hatariwater]

Questions on MODFLOW with Model Muse

Some questions from a follower:

Thanks for agreeing to help. I developed a simple mode just to check if it works. But I get this error (attached). There are NO streams in my study area so do I still need to give my model a input for drainage package? I wanted to go around it but I could not proceed, therefore I created streams as drainage lines from DEM.

Answer: You dont need to apply drains if you dont have drains. But, where water is going out of your system.

Secondly in my study area top surface geology will be heterogeneous and I have one confined aquifer underneath (2 m below the surface covering just a small part of the area not total area); and the task is to see if the a nearby road will influence this confined aquifer. Do you think a simple groundwater flow model can answer the question?

Answer: The geological setup is completely feasible with a multilayered groundwater flow model

How do I assign different geology on top model (first layer)? can I do that by importing a shape file and assigning different K values?

Answer: Please see this video: http://hatariwater.tumblr.com/post/143269466034/tutorial-to-create-a-modflow-grid-by-shapefile-and

I do not know, can we asign a time series for recharge values (in your video you give model an average value).

Answer: You can apply time series boundary conditions as recharge

I will be using 100 years forecasted data (incorporating climate change), what is the best way to run the model, using average monthly values or creating a time series for 100 years and running the model for 100 years?

Answer: Actually there is no limits for the time steps on MODFLOW. However is not practical to manage 1200 time steps.

[hatariwater]

Tutorial to create a MODFLOW Grid by shapefile and import elevation

Interesting tutorial about the use of Model Muse.

This tutorial covers:

Transformation of coordinates

Import of shapefiles

Use of the "No Grid" option

Import of point shapefiles as elevations

Video

[hatariwater]

How to Fill Missing Precipitation Data with Neural Networks in Python

Quick tutorial to fill missing precipitation data with neural network using the Scikit Neural Network library in Python.

This tutorial contains:

Import precipitation data to Pandas

Creation of a unique Pandas Dataframe

Construction of a Neural Network

Plot Observed and Predicted Values for Est 2: 2015-01-12:2015-03-31

Predict the missing data in between 2014-11-23:2015-01-11

Video

 Data

Download the required data for this tutorial on this link:

https://github.com/SaulMontoya/How-to-Fill-Missing-Precipitation-Data-with-Neural-Networks-in-Python

[hatariwater]

Definition of layer thickness and hydraulic conductivities on Model Muse

Quick tutorial for the definition of layer thickness and hydraulic conductivities for a MODFLOW model on Model Muse.

This tutorial contains:

Basic geometry with uniform thickness

Definition of relative layer thickness

Assign of hydraulic conductivities based on objects 

Basic Cross Section

Video

[hatariwater]

How to interpolate elevation values on Model Muse - VIDEO

This tutorial is about the interpolation of any variable

Create a model

Set a default elevation

Apply elevation points

Video

[hatariwater]

Multispectral Analysis of Satellite Imagery with Python

Interesting tutorial with code of the treatment and interactive analysis of multispectral satellite images. The application is done over a Landsat image that has 11 bands.

This tutorial contents.

Import of satellite images

Convert images as numpy array

Slice the images over a region of interest

Creation of a multidimensional numpy array

Calculation of NDVI 

Interactive plotting of NDVI and band values for every point

Animation

Video

Data

Download the required data for this tutorial on this link:

https://github.com/SaulMontoya/Multispectral-Analysis-of-Satellite-Imagery-with-Python.git

[hatariwater]

Interactive representation of Precipitation IMERG with Python over Germany

Tutorial for interactive representation of satellite images of precipitation IMERG over Germany using Python 3 on Jupyter. Images of precipitation IMERG are every 30 minutes on the extent of Germany taken from 1 to 4 November 2015.

Content

This tutorial includes:

Import data server Nasa Giovanni

Call to files and listing

Function definition for netCDF opening

Search for limits of representation

Data collection of precipitation as a large Numpy array

Importing packages for rendering maps

Generation of interactive representation

Animation

Video

Input Data and Code

Download the data input and Python code this link:

https://github.com/SaulMontoya/Interactive-representation-of-IMERG-Precipitation-with-Python-over-Germany

[hatariwater]

Impact Assessment of Water Quality on Ecosystems with Neural Networks in Python

This tutorial covers:

Generate a dataframe of chemistry with the same index as species

Create an interactive plot

Predict ecosystem variables:

Impact of pH on vegetation abundance

Impact of Conductivity on vegetation abundance

Impact of Dissolved Oxygen on vegetation abundance

Impact of Nitrates on vegetation abundance

Video

Key Aspects

There are some key aspect to consider in the effectiveness of neural networks. Some of there are:

Consistent data

Extensive data records

Understanding of the governing rules of the phenomenon

Review of the neural network theory

While considering these aspects, you can enjoy this awesome tool for your everyday work.

Data

Download the required data for this tutorial on this link:

https://github.com/SaulMontoya/Impact-Assessment-of-Water-Quality-on-Ecosystems-with-Neural-Networks-in-Python

For any application of neural networks on a specific field please writo to:

[email protected]