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 and Co-precipitation01:17

Precipitation and Co-precipitation

1.6K
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...
1.6K
Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

27
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...
27
Precipitation Processes01:12

Precipitation Processes

332
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...
332
Precipitation Gravimetry01:03

Precipitation Gravimetry

3.8K
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...
3.8K
Methods of Obtaining Topography01:25

Methods of Obtaining Topography

28
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,...
28
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

85
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
85

You might also read

Related Articles

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

Sort by
Same author

Exploring key genes and prognostic validation of prostate cancer through transcriptome-wide association study.

Scientific reports·2026
Same author

Interfacial Morphology Shapes Endothelial Organization and Function in a Blood-Brain Barrier-on-a-Chip.

ACS applied materials & interfaces·2026
Same author

Cervical Anastomotic Leakage After Minimally Invasive McKeown Esophagectomy in the SAFER Surgical System: Clinical Course and Predictors of Delayed Healing.

Thoracic cancer·2026
Same author

Ammonia nitrogen recovery from biogas slurry via integrated electrochemical ammonia stripping with calcium-based absorption and its product application potential.

Bioresource technology·2026
Same author

Non-equilibrium criticality-enhanced quantum sensing with superconducting qubits.

Science bulletin·2026
Same author

Fermented goat milk powder promotes intestinal development and enhances splenic antioxidant function in mice.

Food & function·2026

Related Experiment Video

Updated: May 10, 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

Leveraging multi-source data and teleconnection indices for enhanced runoff prediction using coupled deep learning

Jintao Li1, Ping Ai2,3, Chuansheng Xiong3

  • 1College of Computer Science and Software Engineering, Hohai University, Nanjing, 211100, China. lijintao.ljt@foxmail.com.

Scientific Reports
|April 27, 2025
PubMed
Summary

This study introduces coupled models combining Stepwise Regression Analysis with Support Vector Regression (SRA-SVR) and Multi-Layer Perceptron Regression (SRA-MLPR) for improved medium- to long-term runoff forecasting. The models enhance accuracy and stability by integrating atmospheric circulation indices, aiding water resource management and disaster preparedness.

Keywords:
Atmospheric circulation indicesCoupled modelsMedium- to long-term forecastingMulti-source data fusionRunoff predictionYalong river basin

More Related Videos

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

3.7K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

428

Related Experiment Videos

Last Updated: May 10, 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
Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

3.7K
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

428

Area of Science:

  • Hydrology and Climatology
  • Environmental Science
  • Data Science

Background:

  • Traditional statistical methods for runoff forecasting have limitations in utilizing multifaceted variable information, leading to lower prediction accuracy.
  • Accurate medium- to long-term runoff forecasting is critical for flood control, drought resilience, water resources development, and ecological improvement.

Purpose of the Study:

  • To introduce and validate two innovative coupled models, SRA-SVR and SRA-MLPR, for enhanced runoff prediction.
  • To leverage the strengths of statistical (Stepwise Regression Analysis) and deep learning (Support Vector Regression, Multi-Layer Perceptron Regression) approaches.
  • To integrate atmospheric circulation indices to address high-dimensional data, multicollinearity, and nonlinear hydrological dynamics.

Main Methods:

  • Developed coupled models: Stepwise Regression Analysis-Support Vector Regression (SRA-SVR) and Stepwise Regression Analysis-Multi-Layer Perceptron Regression (SRA-MLPR).
  • Utilized 80 atmospheric circulation indices as teleconnection variables.
  • Applied SHAP (SHapley Additive exPlanations) analysis for model interpretability.

Main Results:

  • The SRA-MLPR model demonstrated significant improvements, reducing RMSE by 26% and MAPE by 34%, while increasing NSE by 13% compared to baseline models.
  • The inclusion of teleconnection indices enhanced model stability and the capability to capture nonlinear hydrological relationships.
  • A one-month lag in atmospheric circulation indices was identified as optimal for basin-scale runoff prediction, with specific indices like the Northern Hemisphere Polar Vortex and East Asian Trough identified as dominant drivers.

Conclusions:

  • The coupled SRA-SVR and SRA-MLPR models offer a robust and generalizable framework for accurate and interpretable hydrological forecasting.
  • These models provide valuable insights for adaptive water resource management, flood prevention, and drought mitigation, especially in the context of climate change.
  • The modular design allows for scalability and adaptation to diverse hydrological contexts globally.