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相关概念视频

Rapidly Varying Flow01:24

Rapidly Varying Flow

49
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
49
Gradually Varying Flow01:29

Gradually Varying Flow

32
Gradually varying flow (GVF) in open channels describes situations where water depth changes slowly along the channel due to factors like non-uniform bed slope, channel shape variations, or obstructions. This flow type occurs when the depth adjusts gradually to balance gravitational forces, shear forces, and energy requirements, resulting in a low rate of depth change.Characteristics of Gradually Varying FlowGVF is commonly observed in natural streams, rivers, and canals, where flow depth...
32
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

59
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
59
The Water Cycle01:00

The Water Cycle

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The Earth’s hydrosphere includes all of the areas where the storage and movement of water occurs. Since water is the basis of all living processes, the cycling of water is extremely important to ecosystem dynamics.
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Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

56
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
56
Streamlines, Streaklines, and Pathlines01:18

Streamlines, Streaklines, and Pathlines

897
A streamline represents the trajectory that is always tangent to the fluid's velocity vector at any given point. The velocity of a fluid particle is always directed along the streamline, ensuring the particle continuously follows the streamline's path. Streamlines are particularly useful for visualizing the overall direction of flow in a fluid system, and they provide an instantaneous representation of the flow's velocity field. In steady flow, where conditions do not change over...
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相关实验视频

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Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds
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Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

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DeepBase:一个基于深度学习的美国各地的每日基流数据集.

Parnian Ghaneei1,2, Hamid Moradkhani3,4

  • 1Department of Civil, Construction and Environmental Engineering, University of Alabama, AL, Tuscaloosa, USA. pghaneei@crimson.ua.edu.

Scientific data
|January 8, 2025
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概括

这项研究使用深度学习生成了连续美国的每日基流数据集. 这些关键数据有助于提高水资源管理和水文预测,尤其是极端事件.

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Continuous Instream Monitoring of Nutrients and Sediment in Agricultural Watersheds

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科学领域:

  • 水文学的水文学
  • 管理水资源 管理水资源
  • 环境科学 环境科学

背景情况:

  • 高质量的基流数据对于准确的水资源建模和管理至关重要.
  • 源自地下水和延迟来源的基流对于理解溪流流动至关重要,尤其是在干旱时期和地表地下水相互作用期间.

研究的目的:

  • 为了生成一个全面的每日基流数据集连接的美国 (CONUS) 跨越1981-2022.
  • 为了解决可访问的,高质量的每日基流数据的稀缺问题,无论是测量盆地还是未测量盆地.
  • 为地球科学家,环境管理者和水资源专业人士提供一个有价值的资源.

主要方法:

  • 利用深度学习算法来估计每日基础流量.
  • 开发了一个数据集,涵盖了CONUS地区的1661个盆地.
  • 数据范围从1981年到2022年,提供了长期的视角.

主要成果:

  • 为CONUS创建了一个新的,高质量的每日基流数据集.
  • 该数据集增强了测量和未测量盆地的基流估计能力.
  • 为未来的水文研究和水资源管理提供了一个基准.

结论:

  • 生成的数据集显著提高了对水循环和基流贡献的理解.
  • 这种资源对于改善水文预测和管理水资源至关重要,特别是在干旱和洪水等极端事件方面.
  • 建立基流数据的新标准,促进进一步的研究和有效的水资源管理策略.