This course is designed for decision-makers with the tools to understand what flood models can—and can’t—tell you. It bridges the gap between complex hydrological modelling and real-world decision-making, covering flood modelling fundamentals, model selection, and uncertainty.
Through practical applications and case studies, participants will learn to translate modelling into actionable insights for projects in mining, infrastructure, local government, and emergency management. You will understand when to stop modelling, how to communicate results clearly, and the consequences of model failure even when uncertainty is high.
With emerging technologies like AI, real-time monitoring, and evolving data sources, this course keeps you ahead of the curve. Participants will learn how to align modelling with regulations, build stakeholder confidence, and make informed, timely decisions. Whether planning, responding, or rebuilding, this course empowers you to lead with clarity and insight, ensuring models are used effectively in real-world scenarios.
Managing Director -
Blake began his career in 2004 on the Gold Coast with DHI, a Danish water consulting company and also the suppliers of the MIKE suite of software. The first few years of Blakeâ€... Read more
Educated at the University of California at Berkeley, Krey is a civil engineer and project manager with international experience in water resources. He is engaged in computational modelling, engineeri... Read more
Course Overview
This course is designed to equip decision-makers with the knowledge to interpret, question, and apply flood models effectively in real-world scenarios. Our expert presenters will cover fundamentals, uncertainty, practical tools, emerging technologies, and sector-specific insights to support informed decision-making across infrastructure, government, and emergency contexts.
Learning Outcomes
In this course, you will be able to:
Understand the fundamentals of flood modelling and how different models are selected, calibrated, and validated in various decision-making contexts.
Evaluate model uncertainty and limitations, and develop the skills to ask the right questions of technical experts.
Interpret and communicate model outputs effectively, especially when uncertainty is high or decisions are time-sensitive.
Apply modelling insights to real-world projects across sectors such as mining, linear infrastructure, local government, and emergency management.
Stay informed on emerging trends and technologies, including AI, real-time data, and regulatory developments that are reshaping the future of flood risk management.
Course Outline
Session 1: Fundamentals, Uncertainty, Decision Making and Regulations
Fundamentals of modelling
Model selection and uncertainty
What decision makers should ask of modellers
Practical Applications
Case studies and tools
When to stop modelling
Communicating results with uncertainty
Integrating model output to real problems and projects
What happens when flood models are wrong?
Session 2: Emerging Technologies and Future Trends
AI, Real Time, New Data Sources
New and emerging regulations
Focus for mines
Focus for linear infrastructure
Focus for local government
Focus for emergency management
Format
4+ hours of session recordings with unlimited access for 30-days.
Pre-and-post-course materials to go through via the AWS learning platform.
Homework exercises between the 2 sessions.
Slides, manual/s and background readings.
Ability to ask questions to the presenters at anytime through the live sessions and via the learning platform.
Pre-requisites
A basic understanding of the modelling process.
An interest in the application of modelling results to decision making.
Experience in either decision making or project coordination.
AWS Webinar: Tips & tricks for reviewing flood models
Completion certification
Participants earn CPD hours/points (i.e. with Engineers Australia) for at least 4 hours for the entire course.
On completion of the course attendees will be issued with a Certificate of Completion.
