The Integrated Machine Learning Model Driven by Multi-source Data Improves the Accuracy in Lake Water Quality Prediction

Water Resources Management 2026

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Authors: Jiale Li, Hua Wang, Yanqing Deng, Xiaomao Wu, Yichuan Zeng
DOI: 10.1007/s11269-026-04747-4
Cited by: 1
References: 28

Fields of Study & Subjects

Hydrological Forecasting Using AI Aquatic Ecosystems and Phytoplankton Dynamics Soil and Water Nutrient Dynamics

Publication details

Journal / source
Water Resources Management
Publisher
Springer Science and Business Media LLC
Volume
40
Issue
8
Publication date
28 May 2026
Language
EN