Kakadu sea level rise risk - Stage 1 and 2 Sea Level Rise (SLR) model outputs

The low-lying coastal floodplains of the Kakadu Region in tropical Northern Australia encompasses World Heritage Kakadu National Park and are highly vulnerable to future sea level rise (SLR) and extreme weather events, yet there are no modelling tools to assess potential impacts of saltwater inundation (SWI) on freshwater ecosystems and to evaluate future management options. \n\nThis collection contains the stage 1 and stage 2 model outputs from this project.\n\nLineage: A tidally-driven hydrodynamic model was developed to simulate the frequency and extent of SWI in the Kakadu Region for four mean SLR scenarios: 0 m (Present-day 2013); 0.14 m (2030); 0.70 m (2070); and 1.1 m (2100). Simulations were undertaken at 60 m spatial resolution using October dry season tides, and a Digital Elevation Model (0.10 m vertical resolution) constructed from LiDAR point cloud data was used to resolve coastal and river system terrains. Model outputs (maximum extent and frequency of SWI) were used to assess potential loss of freshwater floodplains for each scenario at a park-wide scale and for three case study areas that differ in tidal influence.

澳大利亚北部热带区域的卡卡杜低洼沿海洪泛平原涵盖世界遗产卡卡杜国家公园，该区域对未来海平面上升（Sea Level Rise, SLR）与极端天气事件具有极高的脆弱性，但目前尚无建模工具可用于评估盐水入侵（Saltwater Inundation, SWI）对淡水生态系统的潜在影响，也无法评估未来的管理方案。

本数据集合集包含该项目第一阶段与第二阶段的模型输出成果。

数据溯源：本研究构建了潮汐驱动水动力模型，用于模拟卡卡杜区域盐水入侵的发生频率与影响范围，共设置4组海平面上升平均情景：0米（2013年现状）、0.14米（2030年）、0.70米（2070年）及1.1米（2100年）。模拟采用10月旱季潮汐数据开展，空间分辨率为60米；研究使用基于激光雷达（LiDAR）点云数据构建的数字高程模型（Digital Elevation Model, DEM，垂直分辨率0.10米）来刻画沿海与河流水系地形。模型输出的盐水入侵最大影响范围与发生频率数据，被用于评估各情景下国家公园全域尺度，以及三个受潮汐影响程度各异的典型研究区内的淡水洪泛平原潜在损失。