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The impact of data spatial resolution on flood vulnerability assessment
Environmental Hazards ( IF 1.7 ) Pub Date : 2021-04-15 , DOI: 10.1080/17477891.2021.1912694
D. Morrison 1 , L. Beevers 1 , G. Wright 1 , M. D. Stewart 2
Affiliation  

ABSTRACT

Index-based approaches are a popular method for assessing societal vulnerability to flooding, many of which differ in terms of indicator selection, underlying social data, spatial scale and aggregation methods. They are typically assessed at geographically broad spatial scales to provide a spatial picture of vulnerability for policy and decision-makers. However, aggregation of vulnerability at broad scales also potentially masks the true vulnerability of an area as the underlying data is not spatially refined. This research expands on a previous indicator approach, the Social Flood Vulnerability Index by using geodemographics to facilitate household and postcode level vulnerability assessment to explore the impact of spatial aggregation on vulnerability at national and local levels in Scotland. The results suggest that applying geodemographics to an existing approach increases spatial heterogeneity and has the potential to be adopted as a new dataset to guide indicator selection in future.



中文翻译:

数据空间分辨率对洪水脆弱性评估的影响

摘要

基于指数的方法是评估社会对洪水的脆弱性的一种流行方法,其中许多方法在指标选择、基础社会数据、空间尺度和聚合方法方面有所不同。它们通常在地理上广泛的空间尺度上进行评估,以便为政策和决策者提供脆弱性的空间图景。然而,大规模的脆弱性聚合也可能掩盖一个地区的真实脆弱性,因为基础数据没有在空间上进行细化。这项研究扩展了之前的指标方法,即社会洪水脆弱性指数,通过使用地理人口统计来促进家庭和邮政编码级别的脆弱性评估,以探索空间聚合对苏格兰国家和地方层面脆弱性的影响。

更新日期:2021-04-15
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