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Daily Runoff Prediction Using a BiLSTM–XGBoost Residual-Correction Framework with SHAP-Based Hydrological Interpretation in the Andi Reservoir Basin, China.

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Title: Daily Runoff Prediction Using a BiLSTM–XGBoost Residual-Correction Framework with SHAP-Based Hydrological Interpretation in the Andi Reservoir Basin, China.
Authors: Zhang, Yang1,2 (AUTHOR), Zhang, Jiasheng2 (AUTHOR), Li, Jinxiao1,3 (AUTHOR), Bi, Bochao1,3 (AUTHOR) 2024229045@chd.edu.cn, Ran, Bin2,3 (AUTHOR)
Source: Water (20734441). Jul2026, Vol. 18 Issue 13, p1636. 24p.
Database: Environment Complete
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. Jul2026, Vol. 18 Issue 13, p1636. 24p.
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        Value: 10.3390/w18131636
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      – Code: eng
        Text: English
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        PageCount: 24
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      – TitleFull: Daily Runoff Prediction Using a BiLSTM–XGBoost Residual-Correction Framework with SHAP-Based Hydrological Interpretation in the Andi Reservoir Basin, China.
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              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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