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Predicting nature-based coastal protection by mangroves under extreme waves
Zhan Hu1,2,3, Stijn Temmerman4, Qin Zhu5
1School of Marine Sciences, Sun Yat-Sen University and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China.
Forested wetlands like mangroves significantly reduce storm waves, offering vital coastal flood protection. A new method predicts this wave attenuation without complex modeling, aiding nature-based solutions.
Area of Science:
- Environmental science
- Coastal engineering
- Ecology
Background:
- Forested wetlands, such as mangroves, are crucial for nature-based coastal flood mitigation.
- Accurate prediction of their wave attenuation capacity during extreme storms is limited.
- Existing models struggle with storm conditions and vegetation parameters.
Purpose of the Study:
- To compile and analyze a unique dataset of wave heights in forested wetlands during storms.
- To evaluate the applicability of existing wave attenuation models under storm conditions.
- To develop a new, user-friendly approach for predicting wave attenuation in forested wetlands during storms.
Main Methods:
- Compilation of a novel dataset including direct measurements and literature data on incident wave heights (0.39 to 1.44 m).
- Analysis of wave attenuation across multiple wavelengths in various forested wetland scenarios.
- Evaluation of 20 existing vegetation drag coefficient formulations against storm data.
Main Results:
- Forested wetlands demonstrate significant wave attenuation (35% over 3 wavelengths) during storms.
- Most existing formulations for vegetation drag coefficient are unsuitable for storm conditions.
- A new predictive approach for storm wave attenuation in forested wetlands was developed, bypassing drag coefficient calculations.
Conclusions:
- Forested wetlands provide substantial storm wave reduction, enhancing coastal resilience.
- Current modeling approaches for vegetation drag are inadequate for extreme storm events.
- The novel predictive tool empowers coastal managers to better assess nature-based solutions for storm hazard mitigation.
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