在一个完全分布的水文模型中,地形水力调节以解决表面沉储存和池
Ai-Ling Jiang1, Kuolin Hsu1, Brett F Sanders2,3
1Center for Hydrometeorology and Remote Sensing, Department of Civil and Environmental Engineering, University of California, Irvine, Irvine, CA, USA.
概括
新的低谷保存DEM处理 (D2P) 算法有效捕获陆地表面低谷,对于精确的水文建模至关重要. 这种方法通过在数字海拔模型 (DEM) 中保留自然景观特征来改善地表水动态和流量预测.
科学领域:
- 水文学和地质形态学
- 遥感和地理信息系统 (GIS) 的应用
- 环境建模环境建模
背景情况:
- 陆地表面的低谷对于理解雨水与雨水的相互作用至关重要,例如池,透和下水.
- 现有的数字海拔模型 (DEM) 往往无法在水文建模的相关尺度上表示低谷.
- 目前的DEM处理方法,包括使用LiDAR的方法,倾向于平滑低谷,影响水文准确性.
研究的目的:
- 引入一种新的地形调节工作流程,即压力保存的DEM处理 (D2P) 算法.
- 为了改进水文建模,开发一种方法来保存物理上有意义的表面陷.
- 为了提高深动态的集成到高效的水文模拟.
主要方法:
- D2P算法具有适应性查的特点,用于抑郁症的划分.
- 它包括过人为特征,如桥梁.
- D2P将河流平滑与低谷解决功能相结合,用于全面的地形调节.
主要成果:
- 在一个案例研究中,D2P在10m DEM分辨率下成功识别了86%的池.
- 与传统方法相比,D2P将修改后的DEM细胞减少了51%,从而最大限度地减少了地形变化.
- 使用D2P处理的DEM进行的水文模拟显示,地表水储存改善,峰值流量减弱,延迟.
结论:
- D2P算法在创建准确表示陆地表面低谷的DEM方面取得了重大进展.
- 在DEM中保存低谷导致更强大,更准确的地表水动态的水文模拟.
- D2P有助于更好地理解和建模受地表低谷影响的水文过程.
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