A multi-scale framework for flood risk analysis at spatially distributed locations

被引:16
作者
Speight, L. J. [1 ]
Hall, J. W. [2 ]
Kilsby, C. G. [1 ]
机构
[1] Newcastle Univ, Sch Civil Engn & Geosci, Cassie Bldg, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[2] Univ Oxford, Ctr Environm, Environm Change Inst, Oxford, England
来源
JOURNAL OF FLOOD RISK MANAGEMENT | 2017年 / 10卷 / 01期
基金
英国工程与自然科学研究理事会;
关键词
Coastal; dependence; flood risk; fluvial; multi-scale; systems modelling; RIVER FLOW; SEA SURGE; PRECIPITATION; METHODOLOGY; DEPENDENCE; BRITAIN; PROBABILITY; UNCERTAINTY; DESIGN; DAMAGE;
D O I
10.1111/jfr3.12175
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
This paper presents a multi-scale framework for flood risk analysis from fluvial and coastal sources at broad (including national) scales. The framework combines an extreme value spatial model of fluvial and coastal flood hazards using the Heffernan and Tawn conditional dependence model, with a new Markov approach to representing the spatial variability of flood defences. The nested multi-scale structure enables spatial and temporal dependence at a national scale to be combined with detailed local analysis of inundation and damage. By explicitly considering each stage of the process, potential uncertainties in the risk estimate are identified and can be communicated to end users to encourage informed decision making. The framework is demonstrated by application to an insurance portfolio of static caravan sites across the UK worth over pound 2bn. In the case study, the largest uncertainties are shown to derive from the spatial structure used in the statistical model and limited data on flood defences and receptor vulnerability.
引用
收藏
页码:124 / 137
页数:14
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