Aggregating flood damage functions: The peril of Jensen's gap

Abstract Flood risk models provide important information for disaster planning through estimating flood damage to exposed assets, such as houses. At large scales, computational constraints or data coarseness often lead modelers to aggregate asset data using a single statistic (e.g., the mean) prior...

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Bibliographic Details
Main Authors: Seth Bryant, Jody Reimer, Heidi Kreibich, Bruno Merz
Format: Article
Language:English
Published: Wiley 2025-03-01
Series:Journal of Flood Risk Management
Subjects:
Online Access:https://doi.org/10.1111/jfr3.13053
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