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Zhu, Feilin, Han, Mingyu, Sun, Yimeng, Zeng, Yurou, Zhao, Lingqi, Zhu, Ou, Hou, Tiantian, Zhong, Ping-an (2024) A machine learning framework for multi-step-ahead prediction of groundwater levels in agricultural regions with high reliance on groundwater irrigation. Environmental Modelling & Software, 180. 106146 doi:10.1016/j.envsoft.2024.106146

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Reference TypeJournal (article/letter/editorial)
TitleA machine learning framework for multi-step-ahead prediction of groundwater levels in agricultural regions with high reliance on groundwater irrigation
JournalEnvironmental Modelling & Software
AuthorsZhu, FeilinAuthor
Han, MingyuAuthor
Sun, YimengAuthor
Zeng, YurouAuthor
Zhao, LingqiAuthor
Zhu, OuAuthor
Hou, TiantianAuthor
Zhong, Ping-anAuthor
Year2024 (September)Volume180
Page(s)106146
PublisherElsevier BV
DOIdoi:10.1016/j.envsoft.2024.106146Search in ResearchGate
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Mindat Ref. ID17507923Long-form Identifiermindat:1:5:17507923:2
GUID0
Full ReferenceZhu, Feilin, Han, Mingyu, Sun, Yimeng, Zeng, Yurou, Zhao, Lingqi, Zhu, Ou, Hou, Tiantian, Zhong, Ping-an (2024) A machine learning framework for multi-step-ahead prediction of groundwater levels in agricultural regions with high reliance on groundwater irrigation. Environmental Modelling & Software, 180. 106146 doi:10.1016/j.envsoft.2024.106146
Plain TextZhu, Feilin, Han, Mingyu, Sun, Yimeng, Zeng, Yurou, Zhao, Lingqi, Zhu, Ou, Hou, Tiantian, Zhong, Ping-an (2024) A machine learning framework for multi-step-ahead prediction of groundwater levels in agricultural regions with high reliance on groundwater irrigation. Environmental Modelling & Software, 180. 106146 doi:10.1016/j.envsoft.2024.106146
In(2024) Environmental Modelling & Software Vol. 180. Elsevier BV

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Zhu, Feilin, Sun, Yimeng, Hou, Tiantian, Han, Mingyu, Zeng, Yurou, Zhu, Ou, Zhong, Ping-an (2024) A multi-layer nesting and integration approach for predicting groundwater levels in agriculturally intensive areas using data-driven models. Journal of Hydrology, 643. doi:10.1016/j.jhydrol.2024.132038
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