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 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 densit

SUBMITTER: Fox S 

PROVIDER: S-EPMC11009285 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature