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Integrating social vulnerability into high-resolution global flood risk mapping
by
Agyemang, Felix
, Fox, Sean
, Neal, Jeffrey
, Hawker, Laurence
in
704/242
/ 704/844/2739
/ 706/689
/ Disaster risk
/ Environmental risk
/ Estimates
/ Flood mapping
/ Floods
/ Geography
/ High resolution
/ Humanities and Social Sciences
/ multidisciplinary
/ Population density
/ Poverty
/ Risk
/ Science
/ Science (multidisciplinary)
/ Spatial variations
/ Well being
2024
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Integrating social vulnerability into high-resolution global flood risk mapping
by
Agyemang, Felix
, Fox, Sean
, Neal, Jeffrey
, Hawker, Laurence
in
704/242
/ 704/844/2739
/ 706/689
/ Disaster risk
/ Environmental risk
/ Estimates
/ Flood mapping
/ Floods
/ Geography
/ High resolution
/ Humanities and Social Sciences
/ multidisciplinary
/ Population density
/ Poverty
/ Risk
/ Science
/ Science (multidisciplinary)
/ Spatial variations
/ Well being
2024
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Do you wish to request the book?
Integrating social vulnerability into high-resolution global flood risk mapping
by
Agyemang, Felix
, Fox, Sean
, Neal, Jeffrey
, Hawker, Laurence
in
704/242
/ 704/844/2739
/ 706/689
/ Disaster risk
/ Environmental risk
/ Estimates
/ Flood mapping
/ Floods
/ Geography
/ High resolution
/ Humanities and Social Sciences
/ multidisciplinary
/ Population density
/ Poverty
/ Risk
/ Science
/ Science (multidisciplinary)
/ Spatial variations
/ Well being
2024
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Integrating social vulnerability into high-resolution global flood risk mapping
Journal Article
Integrating social vulnerability into high-resolution global flood risk mapping
2024
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Overview
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.
The study introduces a method of integrating gridded estimates of social vulnerability into high-resolution global flood risk maps demonstrating new insights into the geography of flood risk within and between countries.
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