液压几何学数据集,来源于跨越美国边界的历史流量测量
Thomas Enzminger1, J Toby Minear2, Ben Livneh3,4,5
1Research Applications Laboratory, NSF National Center for Atmospheric Research, Boulder, USA. enzminger@ucar.edu.
Scientific data
|October 18, 2024
概括
一个新的液压几何数据集通过为数以百万计的流域提供未定量化的通道参数来提高流量模拟的准确性. 这一数据集增强了全美水资源和危险预测的水文模型预测.
科学领域:
- 地球和环境科学 地球和环境科学
- 水文学的水文学
- 地质形态学 地质形态学
背景情况:
- 准确的水文模型对于预测溪流流量,水资源和危害至关重要.
- 现有的模型存在过于简化的通道几何形状,导致不准确的流量估计.
- 对于广的流网络来说,关键通道参数如宽度,深度和液压阻力是未定量的.
研究的目的:
- 开发一个全面的液压几何学数据集,用于美国.
- 提高区域和大陆规模水文模型的准确性.
- 为流域提供基本的,以前未经定量化的通道参数.
主要方法:
- 从美国地质调查局 (USGS) 编制的排放场测量结果,在全国范围内进行流量测量.
- 在每个站点计算的液压几何参数和曼宁的n (液压电阻).
- 基于水文单位代码4 (HUC4) 的下游区域化液压几何参数.
主要成果:
- 创建了"HyG"数据集,包含来自66000多个测量器的400多万次测量.
- 数据集包括站点参数,曼宁的n,排放百分位数和区域化下游参数.
- 开发了区域化关系,以改善水文模型中的道表示.
结论:
- "HyG"数据集为对边界美国的水文建模提供了重大进展.
- 区域化参数的直接应用可以提高流量和危险预测的模型准确性.
- 数据集的关系可以进一步区域化,以满足更细致的规模建模需求.
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