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Examining the 100‐Year Floodplain as a Metric of Risk, Loss, and Household Adjustment

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  • Wesley E Highfield
  • Sarah A Norman
  • Samuel D Brody

Abstract

An understudied, but central aspect in understanding flood impacts is the way we conceptualize, identify, and delineate risk. The 100‐year floodplain is the longstanding metric in the United States for determining and acting upon the possibility of an area being inundated. This spatial delineation guides local planning and development decisions, triggers insurance purchases and other household adjustments, and serves as the fundamental indicator for whether it is safe to build a structure on a particular site. However, increasing evidence suggests that the 100‐year floodplain is neither accurate nor sufficient in guiding communities and household decisions to mitigate the adverse economic impacts of floods. In this perspective, we examine the effectiveness of the 100‐year floodplain as an appropriate marker of risk. First, we review existing studies on location and flood damage. Next, we apply these concepts to repetitive flood losses data in Harris County, Texas. We conclude that the apparent inability of the floodplain designation to effectively capture the likelihood of property damage and potential loss of human life in coastal areas has left potentially millions of property owners unaware of the flood risk and unprepared to mitigate their adverse impacts. Relying on traditional 100‐year floodplain boundaries, local decision makers are hampered in their ability to ensure community development occurs in a resilient manner. Finally, we set forth an agenda for future research to better capture the conditions associated with flood risk and account for the large percentage of damage outside the designated floodplain.

Suggested Citation

  • Wesley E Highfield & Sarah A Norman & Samuel D Brody, 2013. "Examining the 100‐Year Floodplain as a Metric of Risk, Loss, and Household Adjustment," Risk Analysis, John Wiley & Sons, vol. 33(2), pages 186-191, February.
  • Handle: RePEc:wly:riskan:v:33:y:2013:i:2:p:186-191
    DOI: 10.1111/j.1539-6924.2012.01840.x
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    References listed on IDEAS

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    1. Howard Kunreuther, 2002. "Risk Analysis and Risk Management in an Uncertain World," Risk Analysis, John Wiley & Sons, vol. 22(4), pages 655-664, August.
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    2. Sara E. Grineski & Timothy W. Collins & Jayajit Chakraborty & Marilyn Montgomery, 2017. "Hazard Characteristics and Patterns of Environmental Injustice: Household‐Level Determinants of Environmental Risk in Miami, Florida," Risk Analysis, John Wiley & Sons, vol. 37(7), pages 1419-1434, July.
    3. Chloe H. Lucas & Kate I. Booth, 2020. "Privatizing climate adaptation: How insurance weakens solidaristic and collective disaster recovery," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(6), November.
    4. Carlynn Fagnant & Avantika Gori & Antonia Sebastian & Philip B. Bedient & Katherine B. Ensor, 2020. "Characterizing spatiotemporal trends in extreme precipitation in Southeast Texas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1597-1621, November.
    5. Ambika Markanday & Steffen Kallbekken & Ibon Galarraga, 2022. "The power of impact framing and experience for determining acceptable levels of climate change-induced flood risk: a lab experiment," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(2), pages 1-18, February.
    6. Eric Tate & Aaron Strong & Travis Kraus & Haoyi Xiong, 2016. "Flood recovery and property acquisition in Cedar Rapids, Iowa," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 2055-2079, February.

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