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Estimating potential evapotranspiration based on self-optimizing nearest neighbor algorithms: a case study in arid–semiarid environments, Northwest of China.

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Title: Estimating potential evapotranspiration based on self-optimizing nearest neighbor algorithms: a case study in arid–semiarid environments, Northwest of China.
Authors: Feng, Kepeng1,2,3 (AUTHOR) fengkp@nxu.edu.cn, Tian, Juncang1,2,3 (AUTHOR)
Source: Environmental Science & Pollution Research. Oct2020, Vol. 27 Issue 30, p37176-37187. 12p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 145683047
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PubType: Academic Journal
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  Data: Estimating potential evapotranspiration based on self-optimizing nearest neighbor algorithms: a case study in arid–semiarid environments, Northwest of China.
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Science+%26+Pollution+Research%22">Environmental Science & Pollution Research</searchLink>. Oct2020, Vol. 27 Issue 30, p37176-37187. 12p.
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11356-019-06597-7
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 37176
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      – TitleFull: Estimating potential evapotranspiration based on self-optimizing nearest neighbor algorithms: a case study in arid–semiarid environments, Northwest of China.
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            NameFull: Feng, Kepeng
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            NameFull: Tian, Juncang
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              Text: Oct2020
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              Y: 2020
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