
Numerical modelling of wave–vegetation interaction : embracing a cross-disciplinary approach for bridging ecology and engineering for nature-inclusive coastal defence systems
- Author
- Joe El Rahi (UGent) , Vicky Stratigaki (UGent) , Marleen De Troch (UGent) and Peter Troch (UGent)
- Organization
- Project
- Abstract
- Coastal areas are increasingly at risk due to climate change, necessitating innovative mitigation approaches. This study explores the integration of living environments, particularly aquatic vegetation, with conventional defence systems to provide socially acceptable and nature-inclusive coastal defence systems. Through examining the published literature, this study identifies two perspectives: engineering and ecological. From an engineering perspective, wave propagation models and simulation techniques for wave-vegetation interaction are identified. Ecologically relevant coastal and marine vegetation is presented, and based on its ecological features (morphology, biomechanics, buoyancy, and variability) a novel ecological categorization framework is developed. The results challenge the notion of a strict divide between ecological and engineering approaches. Analysis of existing wave-vegetation models reveals that many engineers consider the ecological features of vegetation-induced wave attenuation studies. However, computational limitations often lead to simplifications. Furthermore, complex models, while offering detailed ecological insight, are often limited to small-scale experimental domains. Conversely, simpler models, suitable for large-scale engineering problems, may lack ecological detail. This suggests a potential future approach numerical modelling that combines high-resolution models for small areas with large-scale, implicit engineering models operating at the ecosystem scale.
- Keywords
- nature-inclusive, coastal defence, wave propagation, ecological services, aquatic vegetation, EELGRASS ZOSTERA-MARINA, MANGROVE FORESTS, SALT MARSHES, SEAGRASS MEADOWS, ATTENUATION, FISH, FLOW, PROPAGATION, MANAGEMENT, PRODUCTIVITY
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01J2ZWCZ47T219HDX8G2C1SYST
- MLA
- El Rahi, Joe, et al. “Numerical Modelling of Wave–Vegetation Interaction : Embracing a Cross-Disciplinary Approach for Bridging Ecology and Engineering for Nature-Inclusive Coastal Defence Systems.” WATER, vol. 16, no. 14, 2024, doi:10.3390/w16141977.
- APA
- El Rahi, J., Stratigaki, V., De Troch, M., & Troch, P. (2024). Numerical modelling of wave–vegetation interaction : embracing a cross-disciplinary approach for bridging ecology and engineering for nature-inclusive coastal defence systems. WATER, 16(14). https://doi.org/10.3390/w16141977
- Chicago author-date
- El Rahi, Joe, Vicky Stratigaki, Marleen De Troch, and Peter Troch. 2024. “Numerical Modelling of Wave–Vegetation Interaction : Embracing a Cross-Disciplinary Approach for Bridging Ecology and Engineering for Nature-Inclusive Coastal Defence Systems.” WATER 16 (14). https://doi.org/10.3390/w16141977.
- Chicago author-date (all authors)
- El Rahi, Joe, Vicky Stratigaki, Marleen De Troch, and Peter Troch. 2024. “Numerical Modelling of Wave–Vegetation Interaction : Embracing a Cross-Disciplinary Approach for Bridging Ecology and Engineering for Nature-Inclusive Coastal Defence Systems.” WATER 16 (14). doi:10.3390/w16141977.
- Vancouver
- 1.El Rahi J, Stratigaki V, De Troch M, Troch P. Numerical modelling of wave–vegetation interaction : embracing a cross-disciplinary approach for bridging ecology and engineering for nature-inclusive coastal defence systems. WATER. 2024;16(14).
- IEEE
- [1]J. El Rahi, V. Stratigaki, M. De Troch, and P. Troch, “Numerical modelling of wave–vegetation interaction : embracing a cross-disciplinary approach for bridging ecology and engineering for nature-inclusive coastal defence systems,” WATER, vol. 16, no. 14, 2024.
@article{01J2ZWCZ47T219HDX8G2C1SYST, abstract = {{Coastal areas are increasingly at risk due to climate change, necessitating innovative mitigation approaches. This study explores the integration of living environments, particularly aquatic vegetation, with conventional defence systems to provide socially acceptable and nature-inclusive coastal defence systems. Through examining the published literature, this study identifies two perspectives: engineering and ecological. From an engineering perspective, wave propagation models and simulation techniques for wave-vegetation interaction are identified. Ecologically relevant coastal and marine vegetation is presented, and based on its ecological features (morphology, biomechanics, buoyancy, and variability) a novel ecological categorization framework is developed. The results challenge the notion of a strict divide between ecological and engineering approaches. Analysis of existing wave-vegetation models reveals that many engineers consider the ecological features of vegetation-induced wave attenuation studies. However, computational limitations often lead to simplifications. Furthermore, complex models, while offering detailed ecological insight, are often limited to small-scale experimental domains. Conversely, simpler models, suitable for large-scale engineering problems, may lack ecological detail. This suggests a potential future approach numerical modelling that combines high-resolution models for small areas with large-scale, implicit engineering models operating at the ecosystem scale.}}, articleno = {{1977}}, author = {{El Rahi, Joe and Stratigaki, Vicky and De Troch, Marleen and Troch, Peter}}, issn = {{2073-4441}}, journal = {{WATER}}, keywords = {{nature-inclusive,coastal defence,wave propagation,ecological services,aquatic vegetation,EELGRASS ZOSTERA-MARINA,MANGROVE FORESTS,SALT MARSHES,SEAGRASS MEADOWS,ATTENUATION,FISH,FLOW,PROPAGATION,MANAGEMENT,PRODUCTIVITY}}, language = {{eng}}, number = {{14}}, pages = {{30}}, title = {{Numerical modelling of wave–vegetation interaction : embracing a cross-disciplinary approach for bridging ecology and engineering for nature-inclusive coastal defence systems}}, url = {{http://doi.org/10.3390/w16141977}}, volume = {{16}}, year = {{2024}}, }
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