Prediction of phytoplankton biomass and identification of key influencing factors using interpretable machine learning models

Prediction of phytoplankton biomass and identification of key influencing factors using interpretable machine learning models

The water quality of the Middle Route of the South-to-North Water Diversion Project (MRP) of China is related to the health and safety of about 8500w people. In recent years, multiple occurrences of abnormal algal proliferation in water conveyance channels have posed potential risks to the water qua...

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Bibliographic Details
Main Authors: Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan
Format: Article
Language:English
Published: Elsevier 2024-01-01
Series:Ecological Indicators
Subjects:
South-to-North Water Diversion Project
Abnormal algal proliferation
Planktonic algal cell density prediction
Machine learning
SHapely Additive exPlanations
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X23014620

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http://www.sciencedirect.com/science/article/pii/S1470160X23014620

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