Engineering Risk Modelling for Natural Hazards and Infrastructure

After participating in this course, you will be able to:

• Distinguish between hazard and risk, and explain why this distinction is critical in engineering practice
• Apply the risk framework Hazard × Exposure × Vulnerability (÷ Capacity) to infrastructure systems
• Identify and evaluate sources of uncertainty in hazard observations and models
• Interpret and critically assess hazard reports and risk assessments
• Use probabilistic techniques (e.g., Monte Carlo simulation) to quantify and communicate risk
• Interpret exceedance probability curves and their implications for engineering decisions
• Apply risk-based thinking to real-world infrastructure case studies

Description

Infrastructure systems are increasingly exposed to natural hazards such as extreme winds, floods, heat extremes, and compound events. Traditional engineering practice often relies on deterministic “design event” criteria that mask uncertainty and can lead to unrecognized vulnerabilities.

This course introduces engineers and technical professionals to risk-based frameworks for translating natural hazard information into actionable engineering decisions. Participants will learn how hazards, exposure, vulnerability, and capacity interact to determine infrastructure risk, and how uncertainty propagates through each component.

Emphasis is placed on practical interpretation rather than abstract theory: how to obtain and evaluate real hazard maps, assess return periods, evaluate probabilistic results, and communicate uncertainty to stakeholders. Through real-world examples, the course demonstrates how risk-informed approaches support resilience planning, climate adaptation, and lifecycle-based infrastructure management.

Who Should Attend

This course is designed for practicing engineers and technical professionals involved in the planning, design, assessment, and management of structures and infrastructure subjected to natural hazards. Target audiences include:

• Civil, structural, and environmental engineers
• Risk management and resilience specialists
• Infrastructure asset owners and planners
• Consultants advising on hazard assessments and design criteria
• Project managers responsible for infrastructure reliability
• Regulators and professionals interested in risk-informed decision-making
• Risk analysts in the insurance in reinsurance sectors
• Early-career professionals and experienced engineers seeking to incorporate risk concepts into practice

Day 1: Components of Risk Modelling

• Conceptual foundations
• Quantifying hazards
• Exposure modelling
• Vulnerability and capacity concepts
• Uncertainty in observations and models
• Interactive discussion and Q&A

Day 2: Risk Modelling and Interpretation

• Probabilistic risk modelling
• Return period and exceedance probability curves
• Case studies
• Decision-making with risk
• Wrap-up discussion and Q&A