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Optimized Groundwater Vulnerability Assessment Using Machine Learning: A Case Study of Luyi County, China.

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Title: Optimized Groundwater Vulnerability Assessment Using Machine Learning: A Case Study of Luyi County, China.
Authors: Liu, Chengdong1 (AUTHOR), Wang, Mingming2 (AUTHOR), Tian, Huiyun3 (AUTHOR), Jiang, Jiyi1 (AUTHOR), Wen, Yi2 (AUTHOR), Zhao, Xiaojing2,3 (AUTHOR) zhaoxiaojing@tcare-mee.cn, Zhang, Qi2 (AUTHOR) zhangqi@tcare-mee.cn
Source: Water (20734441). Mar2026, Vol. 18 Issue 5, p624. 16p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 192642215
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Optimized Groundwater Vulnerability Assessment Using Machine Learning: A Case Study of Luyi County, China.
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. Mar2026, Vol. 18 Issue 5, p624. 16p.
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      – Type: doi
        Value: 10.3390/w18050624
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 624
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      – TitleFull: Optimized Groundwater Vulnerability Assessment Using Machine Learning: A Case Study of Luyi County, China.
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            NameFull: Liu, Chengdong
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            NameFull: Wang, Mingming
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            NameFull: Tian, Huiyun
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            NameFull: Jiang, Jiyi
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            NameFull: Wen, Yi
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            NameFull: Zhao, Xiaojing
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            NameFull: Zhang, Qi
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            – D: 01
              M: 03
              Text: Mar2026
              Type: published
              Y: 2026
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