#4 H&H Essentials: Stochastic Hydrology

Australian Water School Determine annual exceedance probabilities from historical gauge records

Target Audience

The course is designed to cater for engineers and non-engineers alike, with a range of provided background materials that make the course suitable for both beginners and experienced professionals seeking a refresher for the underlying concepts behind hydrologic and hydraulic modelling applications.


Hydrologic and hydraulic modelling software packages are becoming increasingly powerful, with impressive abilities to run countless iterations and display realistic flood inundation scenarios; however, a basic understanding of the underlying concepts is key in correctly interpreting, applying and presenting results. Working in collaboration with industry and academic experts the Australian Water School (AWS) has created the Hydrology and Hydraulics (H&H) Essentials training series, comprised of 8 individual intensive 3-hour courses with each course flowing into the next enabling attendees to build their skills piece by piece through every course. This course is part of the H&H Essentials series (click here to register for the ENTIRE series).

Throughout the course attendees will be shown practical working examples, learning hands-on how to use and apply different statistical techniques and regression equations, including the computation of confidence limits associated with predicted results.

Take sessions anytime, at your own pace, with unlimited course access for 4 months. Attendees earn CPD hours/points with professional organisations for at least 5 hours per course (therefore 40+ hours for the series).

Key Concepts/Topics

  • Probability distributions: normal, exponential, Gumbel, and Log-Pearson
  • Histogram development and plotting position formulae
  • Running flood frequency analyses
  • Regional regression equations

Learning Objectives

In this 3-hour intensive training course, attendees will increase their knowledge of statistical methods used to interpolate and extrapolate design results for a range of recurrence intervals. On completion of the course attendees will understand:

  • How to select a probability distribution
  • How to incorporate historic events in a flood frequency analysis
  • How to identify outliers
  • How to determine confidence limits for flow estimation