Prime aspects of groundwater quality modelling
Using FEFLOW
An instructor-led online course
Learn how to use FEFLOW for modelling contaminant transport processes within the context of hydrogeology.
Course details
Is this course right for me?
What are my expected outcomes?
How will I learn?
Is this course right for me?
This course is right for you if:
✔️ You are a hydrogeologist, geologist, or professional working on groundwater simulations for a consulting company, public authority, university or research institution in the mining, environmental or water resources sector
✔️ You have basic knowledge of groundwater systems as well as computer applications
✔️ You have first-hand experience with FEFLOW or followed the self-paced course “Getting started with groundwater modelling using FEFLOW”
✔️ You are prepared to complete a four-module instructor-led online course, supplemented by a one-hour introduction to the structure and methodology of the course, over five weeks
✔️ Your schedule allows you to allocate two hours to complete assignments for each module
What are my expected outcomes?
Upon completion of the course, you will:
✔️ Know how to perform numerical groundwater simulations to understand challenging processes associated with groundwater quality covering conservative transport, multi-species transport, kinetic reactions and full-reactive transport
✔️ Be able to develop your own numerical model with FEFLOW
✔️ Be able to simulate the infiltration process contaminants through the vadose zone and the fate of contaminant in aquifers
How will I learn?
This course includes four modules conducted via online live sessions by our qualified trainer. You will learn through a combination of instructor-led lectures, demonstration videos and quizzes, hands-on exercises and reading materials.
Throughout the course, you will have ample time to discuss tips & tricks, best practices and examples with your instructor and fellow participants.
A major part of the online sessions is allocated to group work, which is based on home assignments set by your trainer. For maximum benefits, you are strongly advised to allocate a minimum of two hours of self-study for each of the five modules. There will be no homework for the one-hour online introduction to the structure and methodology of the course.
Modules
This online course is divided into five weekly sessions, a 1-hour introductory session and four 2-hour training sessions.
Introduction to course structure and methodology
Topics: Course materials and learning methodology, homework requirements, deadlines, introduction to Zoom meeting software
Module 1 | Theoretical background and preliminary steps
Topics: Introduction to FEFLOW graphical interface, theoretical background of mass transport in FEFLOW, boundary conditions, handling numerical oscillations, example of conservative transport
Module 2 | Multi-species mass transport modelling
Topics: Principle of multi species transport, kinetic reactions, discussion on the transport of nitrate/ammonim in agricultural sites, example of the transport of industrial solvents (e.g. TCE and PCE)
Module 3 | Modelling radionuclei processes
Topics: Modelling chain reactions using FEFLOW, example of Uranium decay
Module 4 | Fully-reactive transport and discussion
Topics: Introduction to reactive transport with FEFLOW piChem module, FEFLOW—PHREEQC coupling concept, example of infiltration of acid mine drainage (AMD), final course remarks and open discussion
Instructor
Dr. Carlos Rivera Villarreyes
Dr. Carlos Rivera Villarreyes works as Global Product Specialist for FEFLOW at DHI. He has profound knowledge of groundwater and unsaturated-zone modelling as well as parameter estimation and uncertainty analysis (e.g., with PEST), all these in the context of mining applications among others. He has carried several groundwater modelling projects and trained professionals in groundwater modelling around the globe.
Dipl.-Ing. (FH), Civil Engineering, University of Piura, Peru
MSc, Desert Studies - Water Resources Management,
Ben-Gurion University, Israel
PhD, Hydrology, University of Potsdam, Germany