Rahim Barzegar

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Enhancing long-term water quality forecasting with a hybrid deep-learning approach integrating MODWT, CNN, and GRU

Oct 30, 2025 |

By Soheil Khosravi, Mohammad Reza Nikoo, Mohammad Zamani, Rahim Barzegar

| Taylor & Francis Online

Abstract Effective water quality forecasting is crucial for managing pollution and mitigating its environmental impacts. Machine learning (ML) and deep learning (DL) models often fail in long-term WQ forecasting accuracy due to complex data patterns and inadequate feature extraction.

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Rahim Barzegar

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Enhancing long-term water quality forecasting with a hybrid deep-learning approach integrating MODWT, CNN, and GRU

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