AI based prediction of wastewater treatment plant effluent to supplement the minimal instream flow in the Han River.

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Title: AI based prediction of wastewater treatment plant effluent to supplement the minimal instream flow in the Han River.
Authors: Kim, Jong Beom1, Park, Seon Yeong2, Singh, Vikash3, Kim, Chang Gyun3,4 cgk@inha.ac.kr
Source: Environmental Engineering Research. Dec2025, Vol. 30 Issue 6, p1-11. 11p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 189868220
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: AI based prediction of wastewater treatment plant effluent to supplement the minimal instream flow in the Han River.
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  Data: <searchLink fieldCode="AR" term="%22Kim%2C+Jong+Beom%22">Kim, Jong Beom</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Park%2C+Seon+Yeong%22">Park, Seon Yeong</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Singh%2C+Vikash%22">Singh, Vikash</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Kim%2C+Chang+Gyun%22">Kim, Chang Gyun</searchLink><relatesTo>3,4</relatesTo><i> cgk@inha.ac.kr</i>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Engineering+Research%22">Environmental Engineering Research</searchLink>. Dec2025, Vol. 30 Issue 6, p1-11. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=189868220
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.4491/eer.2025.028
    Languages:
      – Code: eng
        Text: English
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        PageCount: 11
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      – TitleFull: AI based prediction of wastewater treatment plant effluent to supplement the minimal instream flow in the Han River.
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            NameFull: Kim, Jong Beom
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            NameFull: Park, Seon Yeong
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            NameFull: Singh, Vikash
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            NameFull: Kim, Chang Gyun
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            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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              Value: 30
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            – TitleFull: Environmental Engineering Research
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