Predicting flood damage using the flood peak ratio and Giovanni Flooded Fraction.

ABSTRACT: A spatially-resolved understanding of the intensity of a flood hazard is required for accurate predictions of infrastructure reliability and losses in the aftermath. Currently, researchers who wish to predict flood losses or infrastructure reliability following a flood usually rely on computationally intensive hydrodynamic modeling or on flood hazard maps (e.g., the 100-year floodplain) to build a spatially-resolved understanding of the flood's intensity. However, both have specific limitations. The former requires both subject matter expertise to create the models and significant computation time, while the latter is a static metric that provides no variation among specific events. The objective of this work is to develop an integrated data-driven approach to rapidly predict flood damages

SUBMITTER: Ghaedi H 

PROVIDER: S-EPMC9348728 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature