@article{10902/29992,
year = {2023},
url = {https://hdl.handle.net/10902/29992},
abstract = {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.},
organization = {Fernando López Arias was supported by the University of Costa Rica (scholarship OAICE-26-2020). The authors are grateful to the Spanish Ministry of Science and Innovation for the funding provided in the grant RTI2018-097014-B-I00 of Proyectos de I + D + i Retos Investigación 2018 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”. The authors would also like to sincerely acknowledge Dr. Vuik for the field campaign data provided which was fundamental for the field validation.},
publisher = {Elsevier},
publisher = {Coastal Engineering, 2023, 185, 104380},
title = {A new predictive tool for modeling wave attenuation produced by saltmarshes in SWAN based on standing biomass},
author = {López Arias, Luis Fernando and Maza Fernández, María Emilia and López Lara, Javier and Losada Rodríguez, Iñigo},
}