Machine learning parallel system for integrated process-model calibration and accuracy enhancement in sewer-river system

Machine learning parallel system for integrated process-model calibration and accuracy enhancement in sewer-river system

The process-based water system models have been transitioning from single-functional to integrated multi-objective and multi-functional since the worldwide digital upgrade of urban water system management. The proliferation of model complexity results in more significant uncertainty and computationa...

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Bibliographic Details
Main Authors: Yundong Li, Lina Ma, Jingshui Huang, Markus Disse, Wei Zhan, Lipin Li, Tianqi Zhang, Huihang Sun, Yu Tian
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Environmental Science and Ecotechnology
Subjects:
Integrated sewer–river model
LSTM
ACO
Sewer–WWTP–river system
Water pollution control strategy
Online Access:http://www.sciencedirect.com/science/article/pii/S2666498423000856

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http://www.sciencedirect.com/science/article/pii/S2666498423000856

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