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相关概念视频

Typical Model Studies01:30

Typical Model Studies

387
Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
387
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

238
Scaled hydraulic models of dam spillways provide a practical way to replicate and study the intricate flow dynamics of these structures. Often built to a 1:15 ratio, these models allow for observing critical water behavior, such as velocity distribution, flow patterns, and energy dissipation.
238
Modeling and Similitude01:12

Modeling and Similitude

299
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
299
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

88
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
88
Precipitation Gravimetry01:03

Precipitation Gravimetry

6.7K
Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
6.7K
Design Example: Design of an Irrigation Channel01:27

Design Example: Design of an Irrigation Channel

148
Trapezoidal channels are widely used in irrigation systems due to their cost-effectiveness and efficiency in conveying water. Trapezoidal channels feature a flat bottom and sloping sides, making them stable and easier to construct compared to other shapes. The bottom width and side slope ratio are determined based on the required flow capacity and site conditions. The side slope is kept gentle for unlined channels to prevent soil erosion.Hydraulic parameters in channel design include the flow...
148

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相关实验视频

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Visualizing Hyporheic Flow Through Bedforms Using Dye Experiments and Simulation
09:49

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下一代计算机授权下一代地下水模型

Nicholas B Engdahl1

  • 1Civil and Environmental Engineering, Washington State University, Pullman, WA, 99164-5818, USA.

Ground water
|May 29, 2023
PubMed
概括

量子计算可能通过直接整合不确定性来彻底改变地下水 (GW) 建模. 这种方法可以通过从一开始就嵌入不确定性,从而导致更准确的地下流动模拟.

科学领域:

  • 水文学的水文学
  • 计算科学 计算科学
  • 量子计算是一种量子计算.

背景情况:

  • 现代水文模型擅长模拟表面和地下系统.
  • 在这些模拟中表示不确定性仍然是一个重大挑战.
  • 目前用于不确定性表征的方法在计算上昂贵,并且无法无集成.

研究的目的:

  • 探索量子计算解决地下水建模不确定性的潜力.
  • 为量子计算硬件提出水文模型的重构.
  • 通过嵌入不确定性来增强地下水模型的预测能力.

主要方法:

  • 修订量子计算的地下水模型的基本方程.
  • 调整管理方程以在量子硬件上高效执行.
  • 嵌入不确定性通过在模拟中演变分布函数.

主要成果:

  • 量子计算提供了一种途径,可以直接处理流系统模拟中的不确定性.
  • 一些复杂的,不确定的问题,如地下水流,非常适合量子计算.
  • 从一开始就整合不确定性可以导致更有效,更准确的模拟.

结论:

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  • 下一代地下水模型可以利用量子计算从根本上解决不确定性.
  • 这种范式转变超越了单纯的加速,解决了固有的模型缺陷.
  • 量子增强模型承诺一种新的方法来模拟嵌入不确定性的地下流.