Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Testing Water Quality

Testing Water Quality

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...

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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...

You might also read

Related Articles

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

Sort by

Same author

HuBMAP Data Portal: A Resource for Multimodal Spatial and Single-Cell Data of Healthy Human Tissues.

ArXiv·2026

Same author

Enhanced Cas12i3 system enables precise OsAUX3 editing for rice grain improvement.

Journal of integrative plant biology·2026

Same author

The potential involvement of FABP4 in rheumatoid arthritis-associated osteoporosis: a comprehensive bioinformatics analysis and experimental validation.

Frontiers in immunology·2026

Same author

Boosting genome editing of non-coding sequences in plants with glycosylase-mediated multi-nucleotide deletion editors.

Science bulletin·2026

Same author

MKT-GMM: A Motion Knowledge Transferring Framework for Robot Trajectory Adaptation to Variable Via-Points.

Biomimetics (Basel, Switzerland)·2026

Same author

A conserved boundary-specific NAC transcription factor targets various regulators to modulate rice aerial architecture.

The Plant cell·2026

Same journal

Blue light enhances background current and dopamine sensitivity of carbon-fiber microelectrodes during fast-scan cyclic voltammetry.

Analytical methods : advancing methods and applications·2026

Same journal

Boronate affinity-based ratiometric fluorescent quantum dot sensors for the rapid detection of streptomycin from food.

Analytical methods : advancing methods and applications·2026

Same journal

Emerging trends in amino acid detection: wearable devices and machine learning-assisted signal processing.

Analytical methods : advancing methods and applications·2026

Same journal

Recent advances in the recognition of the explosive Mother of Satan: a review.

Analytical methods : advancing methods and applications·2026

Same journal

Label-free cervical cancer detection in tissue samples using Raman spectroscopy combined with machine learning technology.

Analytical methods : advancing methods and applications·2026

Same journal

Exploration of optical nanosensors for environmental and biomedical applications: a comprehensive review.

Analytical methods : advancing methods and applications·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Sep 12, 2025

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

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

Published on: December 9, 2012

Research on lake pollutant prediction based on the osprey optimization algorithm (OOA).

Yinshan Yu¹, Xu Tang², Mingjian Ding²

¹Jiangsu Engineering Research Center of Lake Environment Remote Sensing Technologies, Huaiyin Institute of Technology, Huaian, China. yuyinshan@163.com.

Analytical Methods : Advancing Methods and Applications

|August 8, 2025

Summary

This summary is machine-generated.

This study introduces an Osprey Optimization Algorithm (OOA) to enhance Gaussian Process Regression (GPR) for accurate lake pollutant prediction. The OOA-optimized model significantly improves forecasting accuracy for water quality parameters.

More Related Videos

Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts

Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts

Published on: April 9, 2016

Sampling, Sorting, and Characterizing Microplastics in Aquatic Environments with High Suspended Sediment Loads and Large Floating Debris

Sampling, Sorting, and Characterizing Microplastics in Aquatic Environments with High Suspended Sediment Loads and Large Floating Debris

Published on: July 28, 2018

Related Experiment Videos

Last Updated: Sep 12, 2025

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

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

Published on: December 9, 2012

Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts

Procedure to Evaluate the Efficiency of Flocculants for the Removal of Dispersed Particles from Plant Extracts

Published on: April 9, 2016

Sampling, Sorting, and Characterizing Microplastics in Aquatic Environments with High Suspended Sediment Loads and Large Floating Debris

Sampling, Sorting, and Characterizing Microplastics in Aquatic Environments with High Suspended Sediment Loads and Large Floating Debris

Published on: July 28, 2018

Area of Science:

Environmental Science
Data Science
Algorithm Optimization

Background:

Accurate measurement of lake water quality parameters is crucial for environmental monitoring.
Complex nonlinear relationships exist between measured parameters and pollutant concentrations.
Existing prediction models may suffer from suboptimal accuracy.

Purpose of the Study:

To develop an enhanced method for predicting lake pollutants using an optimization algorithm.
To improve the accuracy and adaptability of Gaussian Process Regression (GPR) for pollutant forecasting.
To refine methodological approaches for real-time water quality assessment.

Main Methods:

Measurement of six water quality parameters (COD, total phosphorus, total nitrogen) using spectrophotometry.
Application of Gaussian Process Regression (GPR) for predicting pollutant concentrations.
Optimization of GPR hyperparameters using the Osprey Optimization Algorithm (OOA).

Main Results:

The OOA-enhanced GPR model achieved high prediction accuracy.
Correlation coefficients (R^2) exceeded 0.9 for both training and testing datasets.
Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Root Mean Square Error (RMSE) metrics approached zero.

Conclusions:

The Osprey Optimization Algorithm effectively refines GPR models for pollutant prediction.
The enhanced model demonstrates superior performance in lake pollutant forecasting.
This approach offers a robust solution for complex water quality parameter measurement challenges.