Roedsand Lagoon hydrodynamic monitoring data for JRA experiment

The overall aim is to improve our ability to predict growth of eelgrass and (fine-grained) sediment transport, by being able to model the interaction of sediment dynamics as a function of eelgrass shoot density/biomass, as well as the eelgrass growth dynamics as a function of sediment dynamics. Essentially, this study focuses on establishing changes in critical bed shear stress for erosion and deposition. Time series of sediment, hydrodynamic and biological parameters provide a data basis for understanding the temporal dynamics and quantify critical shear stress and sedimentation/ erosion.整体研究目标为提升鳗草（eelgrass）生长与细颗粒泥沙输运的预测能力，具体通过构建两类动力学模型实现：一类是以鳗草茎秆密度/生物量为驱动因子的泥沙动力学交互模型，另一类是以泥沙动力学为驱动因子的鳗草生长动力学模型。本研究核心聚焦于明确冲淤临界床面剪应力的变化规律。本研究所采集的泥沙、水动力及生物参数时序数据，可为解析系统的时间动态特征、量化临界剪应力及沉积/侵蚀过程提供数据支撑。