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Wave Attenuation by Vegetation: Model Implementation and Validation Study

Supporting Files


Details

  • Journal Title:
    Frontiers in Built Environment
  • Personal Author:
  • NOAA Program & Office:
  • Description:
    Wave–vegetation interaction is implemented in the WAVEWATCH III (WW3) model. The vegetation sink term followed the early formulations of Dalrymple et al. (Journal of Waterway, Port, Coastal, and Ocean Engineering, 1984, 110, 67–79), which focused on monochromatic waves and vegetation approximated as an array of rigid, vertical cylinders, and was later expanded by Mendez and Losada (Coastal Engineering, 2004, 51, 103–118) for random wave transformations over mildly sloping vegetation fields under breaking and nonbreaking conditions assuming a Rayleigh distribution of wave heights. First, validation is carried out for 63 laboratory cases (Anderson and Smith, 2014) with homogeneous vegetation fields for single and double-peak wave spectra. Then, a field case application is conducted to assess the wave attenuation in a wetland environment with spatially variable vegetation fields during stormy conditions. The case study uses data collected at the Magothy Bay located in the Chesapeake Bay, United States, during Hurricanes Jose and Maria in 2017. The domain decomposition parallelization and the implicit scheme have been used for the simulations to efficiently resolve complex shorelines and high-gradient wave zones, incorporating dominant physics in the complicated coastal zone, including wave breaking, wave–current interaction, bottom friction and scattering, wave–vegetation interaction, and nonlinearity (Abdolali et al., 2020). The lab validation and field application demonstrate that WW3 is an effective tool for evaluating the capacity of wetland natural or nature-based features to attenuate wave energy to achieve coastal flood risk reduction.
  • Keywords:
  • Source:
    Front. Built Environ. 8:891612
  • DOI:
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  • Place as Subject:
  • Rights Information:
    CC BY
  • Compliance:
    Submitted
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  • File Type:
    Filetype[PDF - 5.24 MB]
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:7422919a03673aabe52fad80f2693d52c1aecadb2881bb9fb8fdd620b434d630
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