Improving flood hazard datasets using a low-complexity, probabilistic floodplain mapping approach.

ABSTRACT: As runoff patterns shift with a changing climate, it is critical to effectively communicate current and future flood risks, yet existing flood hazard maps are insufficient. Modifying, extending, or updating flood inundation extents is difficult, especially over large scales, because traditional floodplain mapping approaches are data and resource intensive. Low-complexity floodplain mapping techniques are promising alternatives, but their simplistic representation of process falls short of capturing inundation patterns in all situations or settings. To address these needs and deficiencies, we formalize and extend the functionality of the Height Above Nearest Drainage (i.e., HAND) floodplain mapping approach into the probHAND model by incorporating an uncertainty analysis. With publicly avai

SUBMITTER: Diehl RM 

PROVIDER: S-EPMC8006981 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature