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Climate driven drought risk and machine learning approaches for urban resilience and sustainable water governance.

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Title: Climate driven drought risk and machine learning approaches for urban resilience and sustainable water governance.
Authors: Soomro, Shan-e-hyder1, Wei, Huaibin1, weihuaibin@ncwu.edu.cn, Boota, Muhammad Waseem2, Soomro, Nishan-E-Hyder1, Ali, Sher1, Nazli, Sana3, Hu, Caihong4, Guo, Jiali5
Source: Environmental Research; Jun2026, Vol. 299, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
FullText Text:
  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193683971
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Climate driven drought risk and machine learning approaches for urban resilience and sustainable water governance.
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Research%22">Environmental Research</searchLink>; Jun2026, Vol. 299, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193683971
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.envres.2026.124220
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
    Titles:
      – TitleFull: Climate driven drought risk and machine learning approaches for urban resilience and sustainable water governance.
        Type: main
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            NameFull: Soomro, Shan-e-hyder
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            NameFull: Wei, Huaibin
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            NameFull: Boota, Muhammad Waseem
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            NameFull: Soomro, Nishan-E-Hyder
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            NameFull: Ali, Sher
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            NameFull: Nazli, Sana
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            NameFull: Hu, Caihong
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            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 299
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            – TitleFull: Environmental Research
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