The impact of data spatial resolution on flood vulnerability assessment
| Autor: | M. D. Stewart, Grant Wright, Lindsay Catherine Beevers, D. Morrison |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
021110 strategic
defence & security studies Global and Planetary Change Index (economics) 010504 meteorology & atmospheric sciences Sociology and Political Science business.industry Geography Planning and Development Flooding (psychology) Environmental resource management 0211 other engineering and technologies Vulnerability Flood vulnerability 02 engineering and technology Development 01 natural sciences Flood risk management Spatial ecology Environmental science business Selection (genetic algorithm) 0105 earth and related environmental sciences General Environmental Science |
| DOI: | 10.6084/m9.figshare.14427978.v1 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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