5 years ago

Use of an agent-based model and Monte Carlo analysis to estimate the effectiveness of emergency management interventions to reduce loss of life during extreme floods

D. Lumbroso, M. Davison
This paper describes the use of an agent-based model, known as the Life Safety Model (LSM) and a Monte Carlo analysis to assess the effectiveness of emergency management interventions in terms of loss of life, taking into account uncertainties in the physical characteristics of the population at risk, represented by people's height and mass. The work considered Canvey Island as a case study, which is located in the Thames Estuary. The average ground level of the island is 1 m below the mean high tide level. Canvey Island is protected against inundation by a series of flood defences. In 1953, the island was inundated by the Great North Sea Flood that breached the defences and led to the deaths of 58 people. A number of emergency management interventions (e.g. safe havens and flood warnings) were considered to ascertain if the loss of life in 1953 could have been reduced. The LSM was found to be an effective tool to compare different emergency management measures to ensure that loss of life is minimised when an extreme flood event occurs.

Publisher URL: http://onlinelibrary.wiley.com/resolve/doi

DOI: 10.1111/jfr3.12230

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.