Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

7.2K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
7.2K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

36
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...
36
Multiple Regression01:25

Multiple Regression

2.9K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
2.9K
Precipitation Gravimetry01:03

Precipitation Gravimetry

4.7K
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...
4.7K
Differential Leveling01:12

Differential Leveling

115
Differential leveling is a precise method in surveying used to determine the elevation difference between two points. Its primary goal is to establish accurate vertical measurements to create level surfaces or grade lines critical for designing and constructing infrastructures such as roads, bridges, and buildings.The procedure for differential leveling begins with setting up and leveling the instrument at a point where the benchmark can be seen. The level rod is held on the benchmark (BM), and...
115
Regression Analysis01:11

Regression Analysis

5.5K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
5.5K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Data-driven design of hybrid graphene oxide-MXene polymeric membranes for water purification.

iScience·2026
Same author

Sulfuric acid-induced magnetic chitosan/graphene oxide composite hydrogel beads for pH-dependent adsorption of anionic and cationic dyes: Mechanisms, optimization, and reusability.

International journal of biological macromolecules·2026
Same author

A deep complementary learning framework for surface water temperature forecasting.

Scientific reports·2026
Same author

Does petroleum resource extraction and oceanic heat transfer increase geothermal heat flux? A global multi-sensor study of oil basins.

Innovation (Cambridge (Mass.))·2026
Same author

Synthesis and characterization of graphitic carbon nitride-doped carbon (Cu-Al/Biochar@g-C<sub>3</sub>N<sub>4</sub>) for quinoline yellow removal by the Fenton process: optimization by the response surface method.

Scientific reports·2026
Same author

The plastisphere as a nexus for antimicrobial resistance: micro(nano)plastics in pathogen colonization, gene transfer, and global health risks.

Biological reviews of the Cambridge Philosophical Society·2026

相关实验视频

Updated: May 24, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

7.9K

一个混合框架:使用基于数学的微调优化单值分解和内核回归,以增强河流水位预测.

Iman Ahmadianfar1, Aitazaz Ahsan Farooque2,3, Mumtaz Ali4,5

  • 1Department of Civil Engineering, Behbahan Khatam Alanbia University of Technology, Behbahan, Iran. im.ahmadian@gmail.com.

Scientific reports
|March 4, 2025
PubMed
概括

准确的河流水位预测对于安全至关重要. 一个新的混合模型,L-SKRidge,结合了多种技术进行精确的预测,超过了改善水资源管理的现有方法.

关键词:
核心脊回归的回归方法光梯度增强机器可以提高光梯度.RungeKutta 算法可以使用.单一值分解的分解方法预测水位的预测

更多相关视频

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.3K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

938

相关实验视频

Last Updated: May 24, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

7.9K
Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation
08:47

Author Spotlight: UAV Remote Sensing for Efficient Invasive Plant Biomass Estimation

Published on: February 9, 2024

1.3K
Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
08:27

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines

Published on: January 5, 2024

938

科学领域:

  • 水文和水资源管理 水文和水资源管理
  • 计算科学与工程 计算科学与工程
  • 环境监测 环境监测

背景情况:

  • 精确监测和及时提醒河流水位对于保护河流流域社区至关重要.
  • 准确的河流水位预测对于有效的洪水控制和水资源管理至关重要.

研究的目的:

  • 开发一种新的混合模型,用于高精度的河流水位预测.
  • 评估拟议模型在加拿大河流中的一天和三天前期预测的性能.

主要方法:

  • 这是一个混合模型,集成了单值分解 (SVD),基于内核的回归 (SKRidge),多变量变化模式分解 (MVMD),光梯度增强机 (LGBM) 进行特征选择,以及Runge-Kutta优化 (RUN) 进行参数调整.
  • L-SKRidge模型将线性和规范化技术与自适应算法相结合,以捕获复杂的数据模式并防止过拟合.
  • 应用L-SKRidge模型来预测加拿大布鲁克和克河的水位.

主要成果:

  • L-SKRidge模型在布鲁克河和克河都显示出卓越的预测效率.
  • 实现了高精度,R = 0.970和RMSE = 0.051对于布鲁克河,R = 0.958和RMSE = 0.039对于克河.
  • 在准确性和稳定性方面表现优于其他混合和独立预测框架.

结论:

  • L-SKRidge方法为河流水位预测提供了可接受和准确的能力.
  • 该模型的有效性支持学术界和政策制定者制定液压控制策略并推进可持续的水资源管理.