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Accounting for Climate Change Uncertainty in Flood Hazard Prediction

Accounting for Climate Change Uncertainty in Flood Hazard Prediction
洪水灾害预测中气候变化不确定性的考虑
批准号:
EP/L026538/1
负责人:
Lindsay Beevers
金额:
$12.68万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

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中文摘要
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英文摘要
Floods are the most common and widely distributed natural risk to life and property worldwide, causing over £4.5B worth of damage to the UK since 2000. Managing flood risk therefore presents a substantial challenge to this and future governments. Arising from the requirements of the EU Floods Directive (2007/60/EC), flood hazard maps for the UK must be delivered by December 2013. Due to limitations in current methodologies these maps take a deterministic approach to mapping catchment scale flood hazard, and do not incorporate climate change projections. Climate projections are predicted to result in the increase of UK properties at risk from flooding and coastal erosion: understanding the uncertainty these bring to flood hazard is therefore of vital economic significance to the UK.Different methods to assess or determine flood hazards have evolved through research and practice. However, these do not allow for uncertainty estimates to be explicitly included within the process. While uncertainty analysis has been an area of research over a number of years, it has not yet achieved widespread implementation in flood modelling studies and decision making for a number of reasons. With developments in the field, such as improved computational power and newly available standardised climate datasets, incorporating uncertainty into assessments is becoming increasingly possible and indeed essential.It is clear that a gap currently exists in uncertainty estimation in flood hazard prediction, particularly in relation to climate change projections, and that this area of research is critical to current policy and operational drivers. This proposal has been developed to comprehensively address this gap. The project will develop a novel probabilistic modelling framework to assess the impact of uncertainty arising from climate change on flood hazard predictions, generate exemplar probabilistic flood hazard maps for selected case study catchments and attempt to quantify the change to flood hazard as a result of climate projections.
期刊论文(10)
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科研奖励(0)
会议论文
Assessing the impact of climate change on extreme flows across Great Britain
评估气候变化对英国极端流量的影响
DOI: 10.1201/b21902-146
发表时间: 2016
期刊: Journal of Hydrology
影响因子: 6.4
作者: [L. Collet, L. Beevers, C. Prudhomme]
通讯作者: C. Prudhomme
Quantification of Uncertainty Sources in Hydraulic Modelling in a Climate Change Impact Framework
气候变化影响框架中水力模型不确定性源的量化
DOI: --
发表时间: 2018
期刊:
影响因子: --
作者: [Aitken G]
通讯作者: Aitken G
Impact of Climate Change on high and low flows across Great Britain: a temporal analysis and uncertainty assessment.
气候变化对英国高流量和低流量的影响:时间分析和不确定性评估。
DOI: --
发表时间: 2017
期刊:
影响因子: --
作者: [Collet, L]
通讯作者: Collet, L
Transferring Research knowledge of Climate Change Uncertainty in Flood Risk Management in Scotland
在苏格兰洪水风险管理中转移气候变化不确定性的研究知识
DOI: --
发表时间: 2017
期刊:
影响因子: --
作者: [Collet, L]
通讯作者: Collet, L
9
    UQ4FM: Uncertainty Quantification for Flood Modelling
    • 批准号:
      EP/X041093/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $81.05万
    • 财政年份:
      2024
    • 负责人:
      Lindsay Beevers
    • 依托单位:
    WATER RESILIENT CITIES:CLIMATE UNCERTAINTY & URBAN VULNERABILITY to HYDROHAZARDS
    • 批准号:
      EP/N030419/1
    • 项目类别:
      Fellowship
    • 资助金额:
      $133.0万
    • 财政年份:
      2016
    • 负责人:
      Lindsay Beevers
    • 依托单位:
    海外基金