Machine Learning-Based Prediction of Chlorophyll-a Variations in Receiving Reservoir of World’s Largest Water Transfer Project—A Case Study in the Miyun Reservoir, North China

Machine Learning-Based Prediction of Chlorophyll-a Variations in Receiving Reservoir of World’s Largest Water Transfer Project—A Case Study in the Miyun Reservoir, North China

Although water transfer projects can alleviate the water crisis, they may cause potential risks to water quality safety in receiving areas. The Miyun Reservoir in northern China, one of the receiving reservoirs of the world’s largest water transfer project (South-to-North Water Transfer Project, SNW...

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Bibliographic Details
Main Authors: Zhenmei Liao, Nan Zang, Xuan Wang, Chunhui Li, Qiang Liu
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Water
Subjects:
chlorophyll-a concentration prediction
machine learning
support vector machine model
random forest model
water quality management decision
South-to-North water transfer project
Online Access:https://www.mdpi.com/2073-4441/13/17/2406

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