Monte Carlo simulation for design flood estimation : a review of Australian practice

Melanie Loveridge, Ataur Rahman

Research output: Contribution to journalArticlepeer-review

Abstract

Rainfall-based design flood estimation methods in Australia traditionally follow the design event approach. However, the basic assumption of a probability neutral transformation in the design event approach has been widely criticised. For this reason, joint probability approaches (like Monte Carlo simulation) were proposed in the 1970s to account for the probabilistic nature of key inputs in rainfall–runoff modelling. However, these techniques were not seriously tested until the 1990s, when a simple Monte Carlo simulation technique was developed that used existing design data and models, for Australian hydrologic practice. This paper summarises the evolution of Monte Carlo simulation techniques for design flood estimation with a particular emphasis on Australian practice. It has been found that significant advancements have been made in the development and testing of Monte Carlo simulation in Australia; but, there is still a lack of commercial software hindering the routine application of holistic Monte Carlo simulation approaches.
Original languageEnglish
Pages (from-to)52-70
Number of pages19
JournalAustralian Journal of Water Resources
Volume22
Issue number1
DOIs
Publication statusPublished - 2018

Keywords

  • Australia
  • Monte Carlo method
  • flood forecasting
  • floods
  • rain and rainfall
  • runoff

Fingerprint

Dive into the research topics of 'Monte Carlo simulation for design flood estimation : a review of Australian practice'. Together they form a unique fingerprint.

Cite this