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相关概念视频

Modeling and Similitude01:12

Modeling and Similitude

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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...
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
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Precipitation Gravimetry

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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...
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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.
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Though evaporation from plant leaves drives transpiration, it also results in loss of water. Because water is critical for photosynthetic reactions and other cellular processes, evolutionary pressures on plants in different environments have driven the acquisition of adaptations that reduce water loss.
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相关实验视频

Updated: Jul 1, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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为了捍卫指标:指标足够编码典型的人类偏好关于水文模型性能.

Martin Gauch1,2, Frederik Kratzert3, Oren Gilon4

  • 1Institute for Machine Learning Johannes Kepler University Linz Austria.

Water resources research
|March 5, 2024
PubMed
概括

水文学家 水文学家

关键词:
水文摄影仪的水文摄影仪水文学 水文学 水文学机器学习是机器学习.这些指标是指标.降雨-下水流动情况视觉检查 视觉检查 视觉检查 视觉检查

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科学领域:

  • 水文学的水文学
  • 水资源管理 水资源管理
  • 环境建模环境建模

背景情况:

  • 准确的降雨-流水模型对于水文科学和实践至关重要.
  • 许多评估指标存在,但水文学家仍然普遍使用视觉判断.
  • 视觉判断和定量指标之间的一致性尚未得到充分理解.

研究的目的:

  • 调查专家视觉判断和定量指标在评估降雨-流水模型中的一致性.
  • 确定专家意见是否与已建立的定量绩效指标保持一致.
  • 评估定量指标在水文模型评估中反映人类偏好方面的可靠性.

主要方法:

  • 聘请了622名水文专家,评估了来自13个不同的模型的14000多对水文图.
  • 专家提供了对模型性能的视觉判断.
  • 量化指标与专家意见进行了比较.

主要成果:

  • 专家意见通常与定量指标一致,显示机器学习模型比传统水文模型更受青.
  • 在专家意见中观察到显著的不一致.
  • 量化指标可以预测专家在存在共识的情况下达成一致,这表明它们捕捉了人类的偏好.

结论:

  • 定量指标足以编码人类偏好用于水文模型评估.
  • 虽然改进是可能的,但水文界应该增加对基准测试的定量指标的依赖.
  • 建议加强对量化指标的信任,以加强对基准测试的努力.