Solitary wave attenuation characteristics of mangroves and multi-parameter prediction model

This study evaluates the effectiveness of artificial Kandelia obovata forests in wave attenuation through physical model experiments conducted in a wave flume. The experiments meticulously replicated real-world hydrodynamic conditions and mangrove movement responses using the principles of gravitational and motion similarity, with a scaled 1:10 model of Kandelia obovata. Our approach included comparative experiments against a 1:100 gradient concrete slope to isolate the effects of seabed friction and flume wall reflections. The wave height was measured using strategically placed wave gauges. The findings indicated that the artificial Kandelia obovata forests significantly attenuated waves, with a decrease in the total attenuation capacity as the water depth increased from 2.75 m to 3.28 m under both regular and irregular waves. The elastic mangrove model with a canopy effect led to a 15% increase in wave attenuation over cylindrical models. Predictive models using multivariate nonlinear regression and back propagation neural networks showed that the latter provided a superior accuracy in estimating wave transmission coefficients

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Solitary wave attenuation characteristics of mangroves and multi-parameter prediction model

Cited by 3 publications

References 43 publications

A novel local-drag-force-based approach for simulating wave attenuation by mangrove forests using a 3D-SPH method

A novel local-drag-force-based approach for simulating wave attenuation by mangrove forests using a 3D-SPH method

Energy dissipation characteristics in vegetation belt due to mono-chromatic and bi-chromatic waves

Laboratory Study on Wave Attenuation by Elastic Mangrove Model with Canopy

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