Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Precipitation Processes01:12

Precipitation Processes

442
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...
442
Precipitation and Co-precipitation01:17

Precipitation and Co-precipitation

1.7K
Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
1.7K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

48
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...
48
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

454
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
454
Precipitation Titration Curve: Analysis01:21

Precipitation Titration Curve: Analysis

1.1K
The precipitation titration curve demonstrates the change in concentration of one reactant with the volume of titrant added. During the titration of chloride ions with silver nitrate, the precipitation titration curve is divided into three regions: before, at, and after the equivalence point. Before the equivalence point, low redissolution of the sparingly soluble silver chloride precipitate gives a low silver ion concentration. However, in the second region, representing the equivalence point,...
1.1K
Precipitation Gravimetry01:03

Precipitation Gravimetry

6.0K
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...
6.0K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

[Intelligence level and structure in school age children with fetal growth restriction].

Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics·2009
Same author

Uncoupling the D1-N-methyl-D-aspartate (NMDA) receptor complex promotes NMDA-dependent long-term potentiation and working memory.

Biological psychiatry·2009
Same author

A phospho-directed macroporous alumina-silica nanoreactor with multi-functions.

ACS nano·2009
Same author

Subintimal angioplasty for below-the-ankle arterial occlusions in diabetic patients with chronic critical limb ischemia.

Journal of endovascular therapy : an official journal of the International Society of Endovascular Specialists·2009
Same author

Natural killer/T cell lymphoma initiating with pleural effusion: the significance of MICM combined techniques for the diagnosis.

Zhongguo shi yan xue ye xue za zhi·2009
Same author

[Advance of study on animal models of lymphoma].

Zhongguo shi yan xue ye xue za zhi·2009
Same journal

Integrated remote sensing and aeromagnetic datasets for mapping iron mineralization potential in the El-Bahariya depression in the Western Desert of Egypt.

Scientific reports·2026
Same journal

Evaluation of locally available materials as thermal insulators for PV modules.

Scientific reports·2026
Same journal

Functional and structural olfactory changes in post-COVID-19 patients detected by 7 Tesla MRI.

Scientific reports·2026
Same journal

Comparative analysis of empirical evapotranspiration models across Northern Ethiopia's Climatic Zones.

Scientific reports·2026
Same journal

Adoption of particle-based biosensing as a cost-disruptive tool for screening highly dilute sample streams for bacterial contamination.

Scientific reports·2026
Same journal

Pathways to resilient agricultural water management through contrasting governance systems in California and South Korea.

Scientific reports·2026
See all related articles
  1. Home
  3. A Novel Optimization Rainfall Coupling Model Based On Stepwise Decomposition Technique.
  1. Home
  3. A Novel Optimization Rainfall Coupling Model Based On Stepwise Decomposition Technique.

Related Experiment Video

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff
10:35

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff

Published on: April 3, 2014

20.8K

A novel optimization rainfall coupling model based on stepwise decomposition technique.

Zhiwen Zheng1,2, Xianqi Zhang3,4, Qiuwen Yin1

  • 1Water Conservancy College, North China University of Water Resources and Electric Power, Zhengzhou, 450046, China.

Scientific Reports
|July 6, 2024

View abstract on PubMed

Summary
This summary is machine-generated.

The study found that single model full stepwise decomposition (SMFSD) is the most effective method for constructing rainfall prediction models, improving accuracy by avoiding data aliasing in training and testing periods.

Keywords:
African vulture optimization algorithm (AVOA)North China plainStepwise decomposition techniqueVariational modal decomposition (VMD)

More Related Videos

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K

Related Experiment Videos

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff
10:35

A Protocol for Conducting Rainfall Simulation to Study Soil Runoff

Published on: April 3, 2014

20.8K
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
10:46

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

10.7K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

12.9K

Area of Science:

  • Hydrology and Environmental Science
  • Machine Learning Applications
  • Time Series Analysis

Background:

  • Traditional decomposition integration models for time series analysis can suffer from data aliasing, where training data inadvertently includes test period information.
  • This data aliasing compromises the accuracy of model validation and prediction.
  • Developing robust sample construction techniques is crucial for reliable time series forecasting.

Purpose of the Study:

  • To investigate novel sample construction techniques for improving the accuracy of rainfall prediction models.
  • To evaluate the effectiveness of different stepwise decomposition methods (SSD, FSD, SMSSD, SMFSD) in creating training and testing datasets.
  • To develop and validate a coupled rainfall prediction model using Variational Mode Decomposition (VMD), African Vulture Optimization Algorithm (AVOA), and Least Squares Support Vector Machine (LSSVM).

Main Methods:

  • Employed four stepwise decomposition techniques: Semi-stepwise decomposition (SSD), Full stepwise decomposition (FSD), Single model semi-stepwise decomposition (SMSSD), and Single model full stepwise decomposition (SMFSD).
  • Integrated Variational Mode Decomposition (VMD) for signal decomposition, African Vulture Optimization Algorithm (AVOA) for parameter optimization, and Least Squares Support Vector Machine (LSSVM) for prediction modeling.
  • Analyzed the influence of VMD parameter alpha on model performance across different meteorological stations.

Main Results:

  • The Single model full stepwise decomposition (SMFSD) technique demonstrated superior performance in monthly precipitation forecasting across the North China Plain.
  • Huairou Station and Jingxian Station showed the best prediction accuracy, with RMSE values of 18.37 mm and 24.74 mm, respectively.
  • Hekou Station exhibited the poorest performance, indicating spatial variability in model effectiveness.

Conclusions:

  • SMFSD is identified as the most suitable method for constructing samples in coupled rainfall prediction models, effectively mitigating data aliasing issues.
  • The VMD-AVOA-LSSVM coupled model, combined with SMFSD, provides a robust framework for accurate monthly precipitation forecasting.
  • The study highlights the importance of appropriate sample construction techniques for enhancing the reliability of machine learning-based hydrological predictions.