Vulnerability index related to populations at risk for landslides in the Brazilian Early Warning System (BEWS)

摘要: Abstract Vulnerability indices are valuable tools for supporting disaster risk management and primarily used to reduce human losses. Despite relevant advances in developing metrics towards identifying vulnerable populations, one current challenge is the incorporation of socioeconomic information into an early warning system disasters. This paper aims propose evaluate a vulnerability population index support monitoring issuing warnings Brazil. Using indicators that characterize population's physical exposure capacity response, Operational Index Analysis (InOV) was developed 443 Brazilian municipalities. study understanding this topic through its use data on intra-urban scale, which allows relational analysis at-risk areas within each municipality. Based total 6,227,740 people landslide areas, almost 42% were classified with very high, 35% high 23% medium vulnerability. Data regarding victims populations affected by landslides validate index. The correlation between incidences losses as class verified. development validation InOV demonstrated potential incorporating context Early Warning System (BEWS). can identification priority providing additional about be included risk.