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  • 标题:Post-flood damage data: requirements for disaster forensic investigation
  • 本地全文:下载
  • 作者:Martin Dolan ; Martin Dolan ; Nicholas Walliman
  • 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:1-15
  • DOI:10.1051/e3sconf/20160716004
  • 语种:English
  • 出版社:EDP Sciences
  • 摘要:Disaster forensic investigation analyses the unfolding of a disaster and attempts to identify its multiple causes of damage which can lead to (i) improved disaster prevention and management from lessons learnt, and (ii) more effective mitigation measures in the aftermath of a disaster. The way in which damage data are collected after a flood event as well as the types of collected data influences their usability within forensic investigations. In order to explore whether or not existing data can be used for disaster forensic analysis, the European Project IDEA (Improving Damage assessments to Enhance cost-benefit Analyses) is investigating existing gaps in damage information so as to identify possible paths towards improving data quality. This paper focuses in detail on a forensic analysis of the interlinked damage to economic activities and infrastructure in the Severn floods of 2007 in the UK. Besides investigating the usability of existing data, this research investigated: (i) the relative weight of direct and indirect costs to business and infrastructure companies; (ii) to what extent damage to infrastructure has impacted on indirect damage to businesses. Finally recommendations for improving the data for use in forensic investigation are offered.
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