Training hub
Discover our online training resources to start building your skills and knowledge in the water sector.
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MODFLOW 6 and FloPy
Numerical modelling with MODFLOW 6 and FloPy for beginners
Panel Event: Drowning in plastics
A special panel discussion to meet filmmakers, activists, and scientists who are trying to keep plastics out of waterways and clean up our waste
RORB essentials for water modelling
Using RORB to model general runoff and streamflow routing from rainfall and other channel inputs
Applied hydrodynamic modelling – Part 2
Demonstrating the use of hydrodynamic modelling as a tool for engineering planning and design
Megadrought: the new normal?
How you can make a positive difference after examining the impacts and future projections of droughts and megadroughts globally.
Python Masterclass: Advanced skills for hydrology
Advance your skills for hydrological data processing and modelling using Python.
Something’s fishy, part 2
We continue our exploration of fish passage hydraulics with Part 2 dedicated to Australian species
Applied hydrodynamic modelling – Part 1
Two case studies demonstrating the use of hydrodynamic modelling as a tool for environmental management decision making
Groundwater time series analysis
In this course you will dive deep into how the Python language can be used to obtain additional insights from existing groundwater hydrograph datasets
Fitting the Curve
Finding the best fit for flood frequency analyses
Groundwater modelling in Python
How mathematical groundwater models can be implemented in Python
Python for hydrology and hydrogeology
Explore Python programming for water modelling.
Theory vs practice – the challenges of flood risk management
Best practice floodplain management: how to develop management measures within the limitations of reality
Flooded? Forget It!
Learn about the hydraulic design principles for low-water crossings and find out why you shouldn’t cross flooded roadways
Uncertainty analysis in groundwater modelling
Develop confidence in decision-making by learning how to manage uncertainty in modelling results
Coastal water quality modelling 101 – Part 1
Making the most of our coast whilst minimising impact: 3D water quality and environmental modelling applications
From Courant to Saint Venant
This webinar will explore the equations that are hidden inside the “black box” of most hydraulic modelling programs and will launch our Hydrology and Hydraulics (H&H) Essentials training series
Fluvial Geomorphology Essentials
Learn the basics of fluvial geomorphology, focussing on infrastructure crossings
Operational structure modelling using TUFLOW
Learn about a range of operational structures in TUFLOW
How can I help?
Meet some water engineers who have spent their careers providing humanitarian aid, and find out how individuals and organisations with water engineering skills can lend a helping hand.
Groundwater modelling in Python
This course demonstrates how mathematical groundwater models can be implemented in Python
Groundwater time series analysis
How the Python language can be used to gain additional insights from existing groundwater hydrograph datasets
Panel Event: Australian Rainfall and Runoff – to the extreme!
A 90mins panel discussion with industry experts to address the recent QLD & NSW flooding events and modelling implications.
Rating Curves
Join our expert presenters for a hands-on, interactive course covering the development of rating curves from measurements and models.
3D Coastal Modelling 101
Explore 3D modelling approaches for coastal environments
Froude, Dude!
From first principles to present applications
H&H Essentials #1: Meteorology and precipitation
Increase your knowledge of interpolation and extrapolation techniques for applying rainfall gauge data
Urban pipe network modelling
Hydraulic calculations that are important for pipe network modelling
Just for fun: recreational hydraulics
Applying hydraulic concepts to artificial whitewater parks, wave pools, waterslides and more!
H&H Essentials #2: Infiltration and losses
Quantify infiltration and other losses for modelling