Development of a river dissolved oxygen prediction model integrating spatial effects and multiple deep learning algorithm
Dissolved oxygen (DO) in rivers serves as a vital indicator for assessing aquatic environmental health, as it significantly influences the survival of aquatic organisms and the stability of ecosystems. To address the nonlinear, complex, and periodic nature of DO time series, a novel prediction frame...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Ecological Informatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1574954125002432 |
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