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A surface porosity approach for eliminating artificial ponding in coastal salt marsh simulations

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  • Journal Title:
    Coastal Engineering
  • Personal Author:
  • NOAA Program & Office:
  • Description:
    Hydrodynamic processes over marsh topography are significantly affected by surface defects such as cuts and rills on channel berms and platforms. These meter-scale features are often missing in the model representation due to the spatial resolution available from data sources, as well as incomplete resolution in the model grid itself. To minimize the artificial hydraulic isolation in the numerical models, we propose implementing an effective porosity algorithm on the marsh surface by considering the fine-scale topography over marsh depressions that control the drainage process. The modification is carried out to eliminate artificial ponding effects observed in model simulations in Bombay Hook National Wildlife Refuge, DE, USA using the original FVCOM code. Results from the revised and original FVCOM models are compared with pressure gauge data collected from an isolated depression in the marsh platform. The new implementations for proper wetting and drying are efficient and accurate for hydrodynamic modeling inside a complex salt-marsh system, which constitutes a major breakthrough in the context of increasing need for better understanding of physical and morphological changes in valuable coastal ecosystems.
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  • Source:
    Coastal Engineering 179 (2023) 104246
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  • Rights Information:
    Accepted Manuscript
  • Rights Statement:
    The NOAA IR provides access to this content under the authority of the government's retained license to distribute publications and data resulting from federal funding. While users may legally access this content, the copyright owners retain rights that govern the reproduction, redistribution, and re-use of this work. The user is solely responsible for complying with applicable copyright law.
  • Compliance:
    Submitted
  • Main Document Checksum:
    urn:sha-512:30cf9054bc20246dfdc27e9c92802d96ce49c168b897291351921a703014135eb8cf31b90f2ef7a46a27ef99732401f8b997e86e7b47f6f9845411c457cac92f
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    Filetype[PDF - 19.12 MB ]
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