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Numerical modeling of wave attenuation: implications of representing vegetation found in coastal saltmarshes in the Chesapeake Bay
Miesse, T.; de Souza de Lima, A.; Khalid, A.; Cassalho, F.; Coleman, D.J.; Ferreira, C.M.; Sutton-Grier, A.E. (2023). Numerical modeling of wave attenuation: implications of representing vegetation found in coastal saltmarshes in the Chesapeake Bay. Environ. Monit. Assess. 195(8): 982. https://dx.doi.org/10.1007/s10661-023-11533-x
In: Environmental Monitoring and Assessment. Kluwer: Dordrecht. ISSN 0167-6369; e-ISSN 1573-2959
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| Auteurs | | Top |
- Miesse, T.
- de Souza de Lima, A.
- Khalid, A.
- Cassalho, F.
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- Coleman, D.J.
- Ferreira, C.M.
- Sutton-Grier, A.E.
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| Abstract |
Coastal communities are vulnerable to wave and storm surges during extreme events, highlighting the need to increase community resilience. The effectiveness of natural wetlands in attenuating waves is vital to designing strategies for protecting public safety. This study aimed to understand how vegetation attenuates waves and determine the best method for modeling vegetation’s impact on wave dynamics. The researchers compared two different vegetation representations in numerical models, implicit and explicit, using SWAN and XBeach at varying spatial resolutions. The study focused on two marshes in the Chesapeake Bay, using field measurements to investigate the accuracy of each method in representing wave attenuation by vegetation and the implications of explicitly representing average characteristics of one vegetation species on a regional level. Results showed that explicit modeling using average vegetation characteristics provided more accurate results than the implicit model, which only showed wave attenuation due to topography. The finer scale resolution and site-specific vegetation characteristics further improved the accuracy of wave attenuation observed. Understanding the trade-offs between different vegetation representations in numerical models is essential to accurately represent wave attenuation and design effective protection strategies for coastal communities. |
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