Exposing disparities in flood adaptation for equitable future interventions in the USA.

ABSTRACT: As governments race to implement new climate adaptation solutions that prepare for more frequent flooding, they must seek policies that are effective for all communities and uphold climate justice. This requires evaluating policies not only on their overall effectiveness but also on whether they benefit all communities. Using the USA as an example, we illustrate the importance of considering such disparities for flood adaptation through a FEMA dataset of  ~ 2.5 million flood insurance claims. We use CAUSALFLOW, a causal inference method based on deep generative models, to estimate the treatment effect of flood adaptation interventions based on a community's income, racial demographics, population, flood risk, educational attainment, and precipitation. We find that the program saves communi

SUBMITTER: Cano Pecharroman L 

PROVIDER: S-EPMC11436986 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature