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相关概念视频

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

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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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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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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Methods of Obtaining Topography

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Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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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...
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Response Surface Methodology01:16

Response Surface Methodology

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Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
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Precipitation Processes01:12

Precipitation Processes

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The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
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相关实验视频

Updated: Jul 3, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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改进多维正常云模型,以使用灰狼优化算法和投影追踪方法评估地下水质量.

Jiaheng Yan1, Ke Ren2, Tao Wang3

  • 1Faculty of Architecture and Civil Engineering, Huaiyin Institute of Technology, Huaian, 223003, China.

Journal of environmental management
|February 14, 2024
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的多维正常云模型 (GWOPPC模型) 来评估地下水质量,提高准确性和效率. 根据GWOPPC模型,对地下水资源进行了更保守,更强大的评估.

关键词:
云模型 云模型 云模型地下水质量 地下水质量优化算法优化算法预测追求方法的方法.

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科学领域:

  • 环境科学 环境科学
  • 水资源管理 水资源管理
  • 数据科学数据科学数据科学

背景情况:

  • 地下水质量评估涉及固有的不确定性和模两可.
  • 现有的多维正常云模型往往忽略了指标权重方案.
  • 准确地评估地下水质量对于环境研究和资源管理至关重要.

研究的目的:

  • 开发一种新的多维正常云模型 (GWOPPC模型) 来进行综合地下水质量评估.
  • 通过采用改进的权重方案来解决先前模型的局限性.
  • 提高地下水质量评估的准确性和稳定性.

主要方法:

  • 将投影追踪 (PP) 方法与灰狼优化 (GWO) 算法结合起来,构建了GWOPPC模型.
  • 整合了多个评估参数,并简化了建模过程.
  • 分析了GWOPPC模型与传统方法的有效性和稳定性.

主要成果:

  • 与其他优化算法相比,GWOPPC模型显示了更快的融合和更大的稳定性.
  • 该GWO算法在20个代中实现了高准确度的融合.
  • GWOPP权重方案考虑了样本分布密度,优于传统的和主要组件重量.
  • 与模糊,随机森林和WQI方法相比,GWOPPC模型提供了更保守的评估.

结论:

  • GWOPPC模型为地下水质量评估提供了更准确,更有效和更强大的方法.
  • 这种方法有效地处理地下水数据中的随机性和模糊性.
  • 该GWOPPC模型可以应用于不同地区的地下水质量评估,帮助资源管理.