Integrating social vulnerability into high-resolution global flood risk mapping

Abstract High-resolution global flood risk maps are increasingly used to inform disaster risk planning and response, particularly in lower income countries with limited data or capacity. However, current approaches do not adequately account for spatial variation in social vulnerability, which is a k...

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Main Authors: Sean Fox, Felix Agyemang, Laurence Hawker, Jeffrey Neal
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-47394-2
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author Sean Fox
Felix Agyemang
Laurence Hawker
Jeffrey Neal
author_facet Sean Fox
Felix Agyemang
Laurence Hawker
Jeffrey Neal
author_sort Sean Fox
collection DOAJ
description Abstract High-resolution global flood risk maps are increasingly used to inform disaster risk planning and response, particularly in lower income countries with limited data or capacity. However, current approaches do not adequately account for spatial variation in social vulnerability, which is a key determinant of variation in outcomes for exposed populations. Here we integrate annual average exceedance probability estimates from a high-resolution fluvial flood model with gridded population and poverty data to create a global vulnerability-adjusted risk index for flooding (VARI Flood) at 90-meter resolution. The index provides estimates of relative risk within or between countries and changes how we understand the geography of risk by identifying ‘hotspots’ characterised by high population density and high levels of social vulnerability. This approach, which emphasises risks to human well-being, could be used as a complement to traditional population or asset-centred approaches.
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issn 2041-1723
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spelling doaj-art-29839141c3ff454d9674c6a62eebbcf92025-02-09T12:43:46ZengNature PortfolioNature Communications2041-17232024-04-0115111010.1038/s41467-024-47394-2Integrating social vulnerability into high-resolution global flood risk mappingSean Fox0Felix Agyemang1Laurence Hawker2Jeffrey Neal3School of Geographical Sciences & Cabot Institute, University of BristolDepartment of Planning, Property & Environmental Management, University of ManchesterSchool of Geographical Sciences & Cabot Institute, University of BristolSchool of Geographical Sciences & Cabot Institute, University of BristolAbstract High-resolution global flood risk maps are increasingly used to inform disaster risk planning and response, particularly in lower income countries with limited data or capacity. However, current approaches do not adequately account for spatial variation in social vulnerability, which is a key determinant of variation in outcomes for exposed populations. Here we integrate annual average exceedance probability estimates from a high-resolution fluvial flood model with gridded population and poverty data to create a global vulnerability-adjusted risk index for flooding (VARI Flood) at 90-meter resolution. The index provides estimates of relative risk within or between countries and changes how we understand the geography of risk by identifying ‘hotspots’ characterised by high population density and high levels of social vulnerability. This approach, which emphasises risks to human well-being, could be used as a complement to traditional population or asset-centred approaches.https://doi.org/10.1038/s41467-024-47394-2
spellingShingle Sean Fox
Felix Agyemang
Laurence Hawker
Jeffrey Neal
Integrating social vulnerability into high-resolution global flood risk mapping
Nature Communications
title Integrating social vulnerability into high-resolution global flood risk mapping
title_full Integrating social vulnerability into high-resolution global flood risk mapping
title_fullStr Integrating social vulnerability into high-resolution global flood risk mapping
title_full_unstemmed Integrating social vulnerability into high-resolution global flood risk mapping
title_short Integrating social vulnerability into high-resolution global flood risk mapping
title_sort integrating social vulnerability into high resolution global flood risk mapping
url https://doi.org/10.1038/s41467-024-47394-2
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AT laurencehawker integratingsocialvulnerabilityintohighresolutionglobalfloodriskmapping
AT jeffreyneal integratingsocialvulnerabilityintohighresolutionglobalfloodriskmapping