Laboratory Study on Wave Attenuation by Elastic Mangrove Model with Canopy

Author:

Lu Youxiang12,Luo Yongjun3,Zeng Jian12,Zhang Zhiyong12ORCID,Hu Jielong4,Xu Yanan4,Cheng Wenlong12

Affiliation:

1. Zhejiang Institute of Hydraulics and Estuary, Hangzhou 310072, China

2. Key Laboratory of Estuary and Coast of Zhejiang Province, Hangzhou 310072, China

3. Zhejiang Guangchuan Engineering Consulting Co., Ltd., Hangzhou 310020, China

4. Tianjin Research Institute for Water Transport Engineering, Ministry of Transport, Tianjin 300456, China

Abstract

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

Funder

Joint Funds of Zhejiang Provincial Natural Science Foundation of China and Water Resources Department

Joint Funds of National Natural Science Foundation of China and Shandong Province

Zhejiang Province leading Geese Plan

Zhejiang Provincial Department of Water Resources Science and Technology Major Plan Project

Zhejiang Provincial Department of Water Resources Science and Technology Plan Project

Publisher

MDPI AG

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