A new predictive tool for modeling wave attenuation produced by saltmarshes in SWAN based on standing biomass
Several numerical tools have been developed to quantify the wave height decay through vegetation, such as saltmarshes. Among them, one of the most widely used is SWAN (Simulating Waves Nearshore), where Suzuki et al. (2012) implemented and validated Mendez and Losada (2004) formulation. The reliabil...
| Autores: | , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2023 |
| País: | España |
| Institución: | Universidad de Cantabria (UC) |
| Repositorio: | UCrea Repositorio Abierto de la Universidad de Cantabria |
| Idioma: | inglés |
| OAI Identifier: | oai:repositorio.unican.es:10902/29992 |
| Acceso en línea: | https://hdl.handle.net/10902/29992 |
| Access Level: | acceso abierto |
| Palabra clave: | Predictive model Saltmarsh Wave height attenuation SWAN Hydraulic Standing Biomass Nature-based solutions |
| Sumario: | Several numerical tools have been developed to quantify the wave height decay through vegetation, such as saltmarshes. Among them, one of the most widely used is SWAN (Simulating Waves Nearshore), where Suzuki et al. (2012) implemented and validated Mendez and Losada (2004) formulation. The reliability of this approach is based on a good estimation of plant traits and the suitable choice of the bulk drag coefficient (?CD), which is usually used as a calibration coefficient. Recently, Maza et al. (2022) described a new predictive approach to quantify wave attenuation by saltmarshes without the need for calibration coefficients. They estimate the wave damping coefficient (?) as a function of the Hydraulic Standing Biomass (HSB), a parameter defined as a function of the standing biomass, the mean height of the meadow and the wave incident conditions. In this work, Maza et al. (2022) formulation is implemented in SWAN, and validation with laboratory and field data is carried out for six saltmarsh species, showing the good performance of SWAN without calibration. Additionally, the model is extended for including standing biomass and plant height spatial variation to consider the natural variability of the vegetation characteristics along a transect from the lower-marsh to the upper-marsh. Finally, it is shown that the new implementation presents significant advantages in the modeling of wave height evolution along different saltmarsh fields when compared with the standard drag-based approach applied by using existing empirical formulations. |
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