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相关概念视频

Significant Figures in Calculations00:58

Significant Figures in Calculations

Uncertainty in measurements can be avoided by reporting the results of a calculation with the correct number of significant figures. This can be determined by the following rules for rounding numbers:
Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
Numerical Calculations01:24

Numerical Calculations

In engineering applications, the representation of the numerical value is critical. Presenting or reporting the answer is one of the essential parts of engineering practices. Numerical calculations are performed using handheld calculators or computers since numerically accurate answers are always preferred.
The solution to a problem is obtained using different methods. While manually solving algebraic symbols is one of the most common methods, the graphical method is often preferred. Computers...
Data Validation01:15

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:
Modeling and Similitude01:12

Modeling and Similitude

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...
Typical Model Studies01:30

Typical Model Studies

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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相关实验视频

Updated: Jul 8, 2026

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
13:27

Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface

Published on: June 8, 2015

在地球科学中的数值模型的验证,验证和确认.

N Oreskes, K Shrader-Frechette, K Belitz

    Science (New York, N.Y.)
    |February 4, 1994
    PubMed
    概括

    自然系统的数值模型不能完全验证或验证,因为它们的内在复杂性和非独特的结果. 虽然模型可以通过将预测与观测相匹配来确认,但这种确认总是局部的,突出了它们的启发性价值.

    科学领域:

    • 环境建模环境建模
    • 计算科学是一种计算科学.
    • 科学哲学的科学哲学.

    背景情况:

    • 数字模型被广泛用于模拟自然系统.
    • 这些模型的严格验证和验证对于它们的可靠应用至关重要.
    • 在建立代表复杂,开放系统的模型的绝对准确性方面存在挑战.

    研究的目的:

    • 批判性地评估验证和验证的概念,应用于自然系统的数值模型.
    • 探索模型确认在科学实践中的局限性和影响.
    • 重新定义科学模型的主要实用性.

    主要方法:

    • 对验证,验证和确认的概念进行逻辑分析.
    • 检查科学建模的哲学基础,包括诱导问题和肯定后果.
    • 讨论自然系统的固有特征 (例如,开放性) 和模型输出 (例如,非独特性).

    主要成果:

    • 自然系统模型的完整验证和验证在逻辑上是不可能的.
    • 自然系统是开放的,模型结果往往不是唯一的,排除了绝对的确定性.
    • 基于预测和观察之间的协议的模型确认是局部的,并且可能存在逻辑谬误.
    • 模型的预测价值仍然存在固有的不确定性.

    更多相关视频

    Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
    06:55

    Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

    Published on: August 5, 2016

    Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
    08:09

    Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

    Published on: September 12, 2017

    相关实验视频

    Last Updated: Jul 8, 2026

    Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface
    13:27

    Exploring the Effects of Atmospheric Forcings on Evaporation: Experimental Integration of the Atmospheric Boundary Layer and Shallow Subsurface

    Published on: June 8, 2015

    Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
    06:55

    Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling

    Published on: August 5, 2016

    Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
    08:09

    Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

    Published on: September 12, 2017

    结论:

    • 自然系统的模型只能在相对方面进行评估,不能得到绝对验证.
    • 数字模型的主要价值在于它们的启发式功能 - - 帮助理解和探索,而不是确定真相.
    • 科学实践必须承认模型确定性的固有局限性,并专注于它们在知识推进中的作用.