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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

50
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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相关实验视频

Updated: Jul 9, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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使用统计多变量分析方法快速评估地表水质量:奥德河系统案例研究.

Grażyna Balcerowska-Czerniak1, Beata Gorczyca2

  • 1Institute of Mathematics and Physics, Bydgoszcz University of Science and Technology, Poland.

The Science of the total environment
|November 28, 2023
PubMed
概括

这项研究引入了一个新的TQ_PCA质量指数,用于实时监测水质. 它有效地提前检测到恶劣的水条件,甚至在单个参数变化明显之前.

关键词:
热点T(2) 图表图表多变量分析多变量分析.物理化学参数 物理化学参数主要组件分析的主要组件分析.质量监测 质量监测 质量监测水质指数是指水的质量指数.

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相关实验视频

Last Updated: Jul 9, 2025

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科学领域:

  • 环境科学 环境科学
  • 分析化学 分析化学
  • 统计过程控制 统计过程控制

背景情况:

  • 评估地表水质量需要监测许多物理化学和生物参数.
  • 在许多情况下,对水质恶化的快速评估至关重要.
  • 现有的方法可能缺乏同时对多个参数进行实时监测的能力.

研究的目的:

  • 开发一种通用方法来同时监测多个水质参数.
  • 为了能够实时早期检测失控的水样.
  • 引入一种不需要对控制极限事先了解的质量指数.

主要方法:

  • 使用多变量统计质量控制图表.
  • 使用主要组件分析 (PCA) 进行建模.
  • 整合了Hotelling的T平方 (T2) 统计和Q统计用于异常检测.
  • 开发了一个TQ_PCA质量指数用于在线评估.

主要成果:

  • 在分析水质数据方面,TQ_PCA指数表现出色,其中包括奥德尔河在重大生态灾害期间的数据集.
  • 该指数成功地确定了灾难发生前一个月连续发生的警报,尽管单个参数没有明显变化.
  • 在波兰站的物理化学数据和德国站的物理化学/生物数据上验证了性能.

结论:

  • TQ_PCA指数提供了有效的在线评估水样品质量.
  • 该方法可以检测水质的微妙变化,这些变化是在重大环境事件之前发生的.
  • 该TQ_PCA方法是多功能,可以扩展到各种监控应用程序与大数据集.