Print Email Facebook Twitter Damage Curves Derived from Hurricane Ike in the West of Galveston Bay Based on Insurance Claims and Hydrodynamic Simulations Title Damage Curves Derived from Hurricane Ike in the West of Galveston Bay Based on Insurance Claims and Hydrodynamic Simulations Author Xu, Chaoran (University of Michigan; East China Normal University) Nelson-Mercer, Benjamin T. (University of Michigan) Bricker, J.D. (TU Delft Hydraulic Structures and Flood Risk; University of Michigan) Davlasheridze, Meri (Texas A&M University at Galveston) Ross, Ashley D. (Texas A&M University at Galveston) Jia, Jianjun (East China Normal University) Date 2023 Abstract Hurricane Ike, which struck the United States in September 2008, was the ninth most expensive hurricane in terms of damages. It caused nearly USD 30 billion in damage after making landfall on the Bolivar Peninsula, Texas. We used the Delft3d-FM/SWAN hydrodynamic and spectral wave model to simulate the storm surge inundation around Galveston Bay during Hurricane Ike. Damage curves were established through the relationship between eight hydrodynamic parameters (water depth, flow velocity, unit discharge, flow momentum flux, significant wave height, wave energy flux, total water depth (flow depth plus wave height), and total (flow plus wave) force) simulated by the model and National Flood Insurance Program (NFIP) insurance damage data. The NFIP insurance database contains a large amount of building damage data, building stories, and elevation, as well as other information from the Ike event. We found that the damage curves are sensitive to the model grid resolution, building elevation, and the number of stories. We also found that the resulting damage functions are steeper than those developed for residential structures in many other locations. Subject Delft3d-FMFlood riskHurricane IkeResidential damage ratioSWANWeibull function To reference this document use: http://resolver.tudelft.nl/uuid:0f9fbbe3-1b88-431e-9cf5-1afb1b4b13a0 DOI https://doi.org/10.1007/s13753-023-00524-8 ISSN 2095-0055 Source International Journal of Disaster Risk Science, 14 (6), 932-946 Part of collection Institutional Repository Document type journal article Rights © 2023 Chaoran Xu, Benjamin T. Nelson-Mercer, J.D. Bricker, Meri Davlasheridze, Ashley D. Ross, Jianjun Jia Files PDF s13753_023_00524_8.pdf 4.8 MB Close viewer /islandora/object/uuid:0f9fbbe3-1b88-431e-9cf5-1afb1b4b13a0/datastream/OBJ/view