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相关概念视频

Testing Water Quality01:14

Testing Water Quality

136
When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

70
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...
70
Quality of Water01:19

Quality of Water

125
In concrete preparation, the quality of water is paramount as it affects the strength and durability of the concrete. Potable water is usually preferred; however, it must not have excessive sodium or potassium to prevent compromising the concrete's integrity. Water quality is typically evaluated based on impurities such as dissolved solids, chlorides, and sulfates, and its pH value is ideally between 6 and 8. Even slightly acidic natural water may be acceptable unless it contains harmful...
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Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

64
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Typical Model Studies01:30

Typical Model Studies

380
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.
380
Design Example: Creating a Hydraulic Model of a Dam Spillway01:21

Design Example: Creating a Hydraulic Model of a Dam Spillway

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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.
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相关实验视频

Updated: Jul 18, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
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基于分解,子模型选择和适应间隔的综合水质预测.

Tianxiang Liu1, Wen Liu2, Zihan Liu1

  • 1Dept. of Construction Management, School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, 430074, China.

Environmental research
|August 24, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一套水质预测系统 (EWQF),用于预测废水处理厂的废水质量及其不确定性. 该EWQF系统提高了预测准确性,并提供可靠的不确定性分析,以改善工厂控制.

关键词:
整合水质预测和预测改进了变量模态分解的改进.时间间隔预测预测废水处理厂 废水处理厂

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Continuous Hydrologic and Water Quality Monitoring of Vernal Ponds
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相关实验视频

Last Updated: Jul 18, 2025

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科学领域:

  • 环境工程 环境工程
  • 水处理技术 水处理技术
  • 预测建模预测建模

背景情况:

  • 精确的废水质量预测对于废水处理厂 (WWTP) 达到水标准和优化能源使用至关重要.
  • WWTPs固有的非线性使预测变得复杂,并且经常忽视预测不确定性.
  • 现有的方法难以同时解决点预测准确性和预测不确定性.

研究的目的:

  • 为WWTPs开发一个全新的水质预测系统 (EWQF).
  • 准确预测废水质量,同时量化预测不确定性.
  • 为WWTPs提供有效的前控制策略.

主要方法:

  • 改进的变量模态分解 (IVMD) 用于数据预处理和降低噪声.
  • 组合建模结合最佳子模型进行点预测.
  • 适应性内核密度估计用于稳定间隔预测和不确定性分析.

主要成果:

  • 该EWQF系统实现了优异的点预测准确度,R2 = 0.955.
  • 该系统根据覆盖宽度标准 (CWC) 在各种置信级别的间隔预测中表现出最佳性能.
  • EWQF有效地分析了废水质量预测的不确定性.

结论:

  • 拟议的EWQF系统提供了精确的废水质量点预测.
  • EWQF成功量化了预测不确定性,提供了可靠的间隔.
  • 该系统提供了一个强大的解决方案,以提高WWTP的操作控制和性能.