Idealised outputs on effects of tides and waves on delta development using the model Delft3D on a 36 and 72 year scale.

This dataset includes model outputs of velocities, depths, sediment concentrations, and wave conditions, amongst others. The simulations model an idealised coast (19.75 km alongshore by 9 km cross-shore) and river (width 250 m by length 50 km) with constant discharge of water (1280 m3 s-1) and sediment (128 kg s-1), and with various combinations of significant wave height (up to 2 m) and tidal range (up to 6 m). They represent either 36 or 72 years of morphological development, starting from January 1, 2022. The simulations were generated using the open source model Delft3D. The data outputs were designed to explore the potential limiting effects of wave height and tidal range on delta formation. The results demonstrate that large enough combinations of these processes may prevent deltas from forming. Also included in the dataset are input files necessary to run the model code, and animations showing various processes over time in addition to bathymetry. The outputs were generated under the Natural Environment Research Council (NERC) Envision Doctoral Training Partnership (grant number: NE/S007423/1).

本数据集包含流速、水深、沉积物浓度及波浪条件等多类模型输出结果。本次模拟构建了理想化海岸（沿岸长19.75千米、跨岸宽9千米）与河道（宽250米、长50千米）的模拟场景，设定恒定的水沙排放量：水体流量为1280立方米每秒，沉积物输运率为128千克每秒，并设置了有效波高（最高2米）与潮差（最高6米）的多种组合工况。模拟覆盖2022年1月1日起的36年或72年地貌演化过程。本次模拟采用开源模型Delft3D完成。本数据集的输出结果旨在探究波高与潮差对三角洲形成的潜在抑制作用。研究结果表明，当上述两类动力过程的强度组合达到一定阈值时，可抑制三角洲的形成。本数据集还包含运行模型代码所需的输入文件，以及除水深地形数据外的各类随时间演化过程的动画演示内容。本数据集的输出成果由自然环境研究委员会（Natural Environment Research Council, NERC）Envision博士培训合作项目资助，项目编号为NE/S007423/1。