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Uncovering the Drivers of Greenhouse Gas Emissions from Hydropower Reservoirs in China Based on Machine Learning.

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Title: Uncovering the Drivers of Greenhouse Gas Emissions from Hydropower Reservoirs in China Based on Machine Learning.
Authors: Li, Haixia1 (AUTHOR), Liu, Qiang1,2 (AUTHOR), Tang, Xiaolin1 (AUTHOR), Ai, Lian1,2 (AUTHOR), Chen, Hongqiao2 (AUTHOR), Xiong, Jie1 (AUTHOR) 18140045776@163.com, Pan, Hengyu2 (AUTHOR)
Source: Water (20734441). Jul2026, Vol. 18 Issue 13, p1610. 18p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 195441843
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Uncovering the Drivers of Greenhouse Gas Emissions from Hydropower Reservoirs in China Based on Machine Learning.
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. Jul2026, Vol. 18 Issue 13, p1610. 18p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=195441843
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3390/w18131610
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      – Code: eng
        Text: English
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        PageCount: 18
        StartPage: 1610
    Titles:
      – TitleFull: Uncovering the Drivers of Greenhouse Gas Emissions from Hydropower Reservoirs in China Based on Machine Learning.
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          Name:
            NameFull: Li, Haixia
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            NameFull: Liu, Qiang
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            NameFull: Tang, Xiaolin
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            NameFull: Ai, Lian
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            NameFull: Chen, Hongqiao
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            NameFull: Xiong, Jie
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            NameFull: Pan, Hengyu
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            – D: 01
              M: 07
              Text: Jul2026
              Type: published
              Y: 2026
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