The interaction between wave and submerged vegetation is the primary cause of wave-induced attenuation. Studies on wave vegetation interactions mostly considered aquatic monotypic plant meadows and limited work have been reported on heterospecific plant meadows, common in tropical shores of southern India. An attempt was made to understand the heterospecific vegetation meadow-wave interactions through a two-level, four factors, full factorial experimental design-based laboratory flume study under controlled conditions. Simulated vegetation mimics were used as a simplified representation of heterospecific seagrass species, Halophila spinulosa, Halophila ovalis to develop a linear empirical model. Four input variables viz., water depth (h), wave period (T), plant density (N) and bed roughness factor (f), were considered for the study with the wave attenuation (E %) as a response. The developed model was tested for adequacy by using the analysis of variance (ANOVA) technique. Main and interaction effects of the input variables were analyzed, compared, and validated. The results show that all the four input variables are statistically significant with the T has the highest significant individual effect on wave attenuation followed by f, h, and N. Evidential two-way interaction effects, mainly between h with the rest of the parameters were also observed.

中文翻译：

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沿海植被对波的衰减–综合模型的实证研究

波浪与淹没植被之间的相互作用是波浪引起的衰减的主要原因。关于波浪植被相互作用的研究主要被认为是水生单性植物草甸，而在印度南部热带海岸常见的异种植物草甸上的研究却很少。试图通过在受控条件下基于两级，四因素，基于全因子实验设计的实验室水槽研究来理解异种植被草地波相互作用。模拟的植被模拟物被用作异特异海草物种，刺藻，卵形嗜盐菌的简化表示，以建立线性经验模型。四个输入变量，即水深（h）在研究中考虑了波浪周期（T），植物密度（N）和床糙率（f），并以波浪衰减（E％）作为响应。通过使用方差分析（ANOVA）技术测试了开发模型的充分性。对输入变量的主要和交互作用进行了分析，比较和验证。结果表明，所有四个输入变量在统计上均具有显着性，其中T对波衰减的个体影响最高，其次是f，h和N。明显的双向交互作用，主要在h与其余参数之间是也观察到。