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Research on River Water Quality Anomaly Early Warning Method Based on LSTM–SOA–DA.

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Title: Research on River Water Quality Anomaly Early Warning Method Based on LSTM–SOA–DA.
Authors: Zhao, Tianhao1 (AUTHOR), Hu, Dexiu1 (AUTHOR) hudexiu@xaut.edu.cn
Source: Water (20734441). Jun2026, Vol. 18 Issue 12, p1525. 17p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 194909178
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PubType: Academic Journal
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  Data: Research on River Water Quality Anomaly Early Warning Method Based on LSTM–SOA–DA.
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  Data: <searchLink fieldCode="AR" term="%22Zhao%2C+Tianhao%22">Zhao, Tianhao</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hu%2C+Dexiu%22">Hu, Dexiu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hudexiu@xaut.edu.cn</i>
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. Jun2026, Vol. 18 Issue 12, p1525. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=194909178
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      – Type: doi
        Value: 10.3390/w18121525
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      – Code: eng
        Text: English
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        PageCount: 17
        StartPage: 1525
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      – TitleFull: Research on River Water Quality Anomaly Early Warning Method Based on LSTM–SOA–DA.
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          Name:
            NameFull: Zhao, Tianhao
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            NameFull: Hu, Dexiu
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            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 18
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