Knowing the interactions between wave and aquatic vegetation is becoming increasingly important because of the phenomenon of plant-induced wave attenuation for the development of sustainable coastal management systems. Many of the wave-vegetation interaction studies focus on monotypic coastal plant meadows, while coastal plant meadows are typically heterospecific in nature, and the work on heterospecific plant meadows is still very limited. This research aims therefore to explain the heterospecific vegetation-wave interactions using a three-level four-factor surface response methodology (RSM) using controlled laboratory wave flume conditions. Heterospecific seagrass species, Cymodocea serrulata is physically simulated using synthetic plant mimics to establish a relationship between wave attenuation (E%) and four direct control factors, i.e. wave period (T), water depth (h), bed roughness factor (f) and plant density (N), using an empirical model. The model developed was evaluated using the methodology of variance analysis (ANOVA) and analyzed for the key and interaction effects of the parameters studied. The findings showed that both individually and in combination, all the parameters considered are significantly successful on E%. All model-based findings were compared with a new collection of experimental data, and validation tests were carried out.

中文翻译：

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沿海异种植被造成的波衰减-用响应面法（RSM）对合成植物草甸进行建模

由于植物引起的波浪衰减现象对可持续沿海管理系统的发展，了解波浪与水生植物之间的相互作用变得越来越重要。许多波浪-植被相互作用研究都集中在单一型的沿海植物草甸上，而沿海植物草甸通常在性质上是异种的，而在异种植物草甸上的工作仍然非常有限。因此，本研究旨在使用受控实验室波浪水槽条件，使用三级四因素表面响应方法（RSM）来解释异种植被-植物波之间的相互作用。使用合成植物模拟物对异特异海草物种Cymodocea serrulata进行物理模拟，以建立波衰减（E％）与四个直接控制因素之间的关系，使用经验模型，即波浪周期（T），水深（h），河床糙度系数（f）和植物密度（N）。使用方差分析（ANOVA）的方法对开发的模型进行评估，并分析所研究参数的关键和交互作用。研究结果表明，无论是单独还是组合使用，所有考虑的参数在E％上均显着成功。将所有基于模型的发现与新的实验数据集合进行比较，并进行了验证测试。