首页    期刊浏览 2024年10月07日 星期一
登录注册

文章基本信息

  • 标题:Spatial analysis and simulation of extreme coastal flooding scenarios for national-scale emergency planning
  • 本地全文:下载
  • 作者:David Wyncoll ; David Wyncoll ; Ivan Haigh
  • 期刊名称:E3S Web of Conferences
  • 印刷版ISSN:2267-1242
  • 电子版ISSN:2267-1242
  • 出版年度:2016
  • 卷号:7
  • 页码:1-6
  • DOI:10.1051/e3sconf/20160701001
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:The UK has a long history of coastal flooding, driven by large-scale low-pressure weather systems which can result in flooding over large spatial areas. Traditional coastal flood risk analysis is, however, often undertaken at local scales and hence does not consider the likelihood of simultaneous flooding over larger areas. The flooding within the UK over the Winter of 2013/2014 was notable both for its long duration, lasting over two months, and its spatial extent, affecting many different areas of England and Wales. It is thus apparent that to plan and prepare for these types of extreme event it is necessary to consider the likelihood of flood events arising at different locations simultaneously (i.e. to consider the spatial dependence of extreme flood events). This paper describes the application of a state-of-the-art multivariate extreme value methodology to extreme sea levels and wave conditions around the coast of England and Wales. The output of the analysis comprises a synthetic set of extreme but plausible events that explicitly captures the dependence between sea conditions at different spatial locations around the coast. These simulated extreme events can be used for emergency management and advanced flood risk analysis.
国家哲学社会科学文献中心版权所有