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Hu, Yue, Liu, Chuankun, Wollheim, Wilfred M. (2024) Prediction of riverine daily minimum dissolved oxygen concentrations using hybrid deep learning and routine hydrometeorological data. Science of The Total Environment, 918. 170383 doi:10.1016/j.scitotenv.2024.170383

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Reference TypeJournal (article/letter/editorial)
TitlePrediction of riverine daily minimum dissolved oxygen concentrations using hybrid deep learning and routine hydrometeorological data
JournalScience of The Total Environment
AuthorsHu, YueAuthor
Liu, ChuankunAuthor
Wollheim, Wilfred M.Author
Year2024 (March)Volume918
PublisherElsevier BV
DOIdoi:10.1016/j.scitotenv.2024.170383Search in ResearchGate
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Mindat Ref. ID17177369Long-form Identifiermindat:1:5:17177369:1
GUID0
Full ReferenceHu, Yue, Liu, Chuankun, Wollheim, Wilfred M. (2024) Prediction of riverine daily minimum dissolved oxygen concentrations using hybrid deep learning and routine hydrometeorological data. Science of The Total Environment, 918. 170383 doi:10.1016/j.scitotenv.2024.170383
Plain TextHu, Yue, Liu, Chuankun, Wollheim, Wilfred M. (2024) Prediction of riverine daily minimum dissolved oxygen concentrations using hybrid deep learning and routine hydrometeorological data. Science of The Total Environment, 918. 170383 doi:10.1016/j.scitotenv.2024.170383
In(2024) Science of The Total Environment Vol. 918. Elsevier BV

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