Articles | Volume 23, issue 1
https://doi.org/10.5194/nhess-23-261-2023
https://doi.org/10.5194/nhess-23-261-2023
Research article
 | 
20 Jan 2023
Research article |  | 20 Jan 2023

Comparison of estimated flood exposure and consequences generated by different event-based inland flood inundation maps

Joseph L. Gutenson, Ahmad A. Tavakoly, Mohammad S. Islam, Oliver E. J. Wing, William P. Lehman, Chase O. Hamilton, Mark D. Wahl, and T. Christopher Massey

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Cited articles

About: See the Storm Surge in Real-Time, About, https://coastalrisk.live/about/, last access: 20 January 2022. 
AECOM: 2018 Coastal Texas LiDAR Final QA/QC Report, Statement of Work #580-18-SOW0051, https://prd-tnm.s3.amazonaws.com/StagedProducts/Elevation/metadata/TX_CoastalRegion_2018_A18/TX_Coastal_B1_2018/reports/thrid-party-QAQC/2018CoastalTexasLiDAR_FinalQAQCReport_20181221.pdf (last access: 4 January 2023), 2018. 
Afshari, S., Tavakoly, A. A., Rajib, M. A., Zheng, X., Follum, M. L., Omranian, E., and Fekete, B. M.: Comparison of new generation low-complexity flood inundation mapping tools with a hydrodynamic model, J. Hydrol., 556, 539–556, https://doi.org/10.1016/j.jhydrol.2017.11.036, 2018. 
Bass, B. and Bedient, P.: Surrogate modeling of joint flood risk across coastal watersheds, J. Hydrol., 558, 159–173, https://doi.org/10.1016/j.jhydrol.2018.01.014, 2018. 
Brody, S. D., Sebastian, A., Blessing, R., and Bedient, P. B.: Case study results from southeast Houston, Texas: identifying the impacts of residential location on flood risk and loss, J. Flood Risk Manag., 11, S110–S120, https://doi.org/10.1111/jfr3.12184, 2018. 
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Emergency managers use event-based flood inundation maps (FIMs) to plan and coordinate flood emergency response. We perform a case study test of three different FIM frameworks to see if FIM differences lead to substantial differences in the location and magnitude of flood exposure and consequences. We find that the FIMs are very different spatially and that the spatial differences do produce differences in the location and magnitude of exposure and consequences.
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