Enhancing dissolved oxygen prediction in lake-reservoirs via a hybrid BO+SSA-driven backpropagation neural network

With the self-purification ability of lake-reservoir water body gradually weakened and the oscillation of dissolved oxygen (DO) concentration intensifying, the high-precision prediction of lake-reservoir DO is important to the aquatic ecological safety. Aiming at the key problem that the prediction...

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Hauptverfasser:	Hanyi Liu, Chuntan Chen, Jianqiao Ye, Liming Li, Dong Fu, Zhuo Tao
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2025-10-01
Schriftenreihe:	Frontiers in Water
Schlagworte:	lake-reservoir monitoring section dissolved oxygen prediction back propagation neural network (BPNN) hybrid optimization strategy prediction accuracy
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/frwa.2025.1655126/full
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