Statistical models have a profound impact on flood risk estimates, leading to variations based on what each model incorporates. The map by Connie Hanzhang Jin for NPR illustrates the contrasts between FEMA estimates and those from First Street, showing a larger area considered at risk by the latter. This discrepancy, particularly for factors like rainfall and flash flooding, underscores ongoing challenges in accurately assessing and communicating flood risks to affected areas.
The discrepancy between FEMA estimates and more updated models that consider rainfall and flash flooding illustrates significant differences in risk evaluations for flood-prone areas.
Statistical models significantly influence risk estimates, as each model may account for different factors, leading to varied interpretations of flood risk.
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