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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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Bibliografiset tiedot
Päätekijät: Seth Bryant, Jody Reimer, Heidi Kreibich, Bruno Merz
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Wiley 2025-03-01
Sarja:Journal of Flood Risk Management
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Linkit:https://doi.org/10.1111/jfr3.13053
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