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A Probabilistic Approach to Assessing Flood Vulnerability in Nebraska
Topics: Hazards and Vulnerability
, Hazards, Risks, and Disasters
, Spatial Analysis & Modeling
Keywords: Floods, Social Vulnerability, Indicators, Exposure Session Type: Virtual Paper Abstract Day: Monday Session Start / End Time: 2/28/2022 08:00 AM (Eastern Time (US & Canada)) - 2/28/2022 09:20 AM (Eastern Time (US & Canada)) Room: Virtual 2
Authors:
Rene Ingersoll, University of Nebraska-Lincoln
Patrick Bitterman, University of Nebraska-Lincoln
Robert Shepard, University of Nebraska-Lincoln
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Abstract
Recent floods have devastated Nebraskan communities along the Platte River. As flood events will likely become more frequent and severe, understanding the characteristics of flood vulnerability (susceptibility, resilience, and exposure) is necessary in identifying at-risk places and populations. To estimate social vulnerability to floods in mid-sized Nebraskan towns representative of communities across the Great Plains, we constructed a multi-scale composite indicator. Our analysis builds on existing methods by incorporating additional local hazards that may further complicate response and recovery efforts. Further, we model exposure using a probabilistic approach to estimate flood inundation. These model developments add important local context to the characterization of vulnerability to flood events. Using these methods, we estimate populations of concern along the Platte River in Nebraska, and suggest areas for additional mitigative and adaptive actions to reduce the risk of future events.
A Probabilistic Approach to Assessing Flood Vulnerability in Nebraska
