Water Quality Prediction Method Coupling Mechanism Model and Machine Learning for Water Diversion Projects with a Lack of Data
- 24 March 2025
- journal article
- research article
- Published by Springer Nature in Water Resources Management
- Vol. 39 (7) , 3015-3030
Abstract
No abstract availableKeywords
Funding Information
- The National Key R&D Program of China (2021YFC3200903, 2023YFC3207803)
- The Basic Scientific Research Expense Project of IWHR (WE0145B032021)
This publication has 42 references indexed in Scilit:
- A Comparative Assessment of Machine Learning and Deep Learning Models for the Daily River Streamflow ForecastingWater Resources Management, 2024
- Evaluation of the support vector regression (SVR) and the random forest (RF) models accuracy for streamflow prediction under a data-scarce basin in MoroccoDiscover Applied Sciences, 2024
- Mechanism-learning coupling paradigms for parameter inversion and simulation in earth surface systemsScience China Earth Sciences, 2023
- Introducing a Novel Hybrid Machine Learning Model and Developing its Performance in Estimating Water Quality ParametersWater Resources Management, 2022
- Spatial and temporal characteristics, influencing factors and prediction models of water quality and algae in early stage of Middle Route of South-North Water Diversion ProjectEnvironmental Science and Pollution Research, 2021
- Predicting high‐frequency variation in stream solute concentrations with water quality sensors and machine learningHydrological Processes, 2020
- Uncertainty Analysis of Climate Change Impacts on Flood Frequency by Using Hybrid Machine Learning MethodsWater Resources Management, 2020
- Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithmAgricultural Water Management, 2020
- Eco-environmental impact of inter-basin water transfer projects: a reviewEnvironmental Science and Pollution Research, 2016
- Modelling of dissolved oxygen content using artificial neural networks: Danube River, North Serbia, case studyEnvironmental Science and Pollution Research, 2013