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Prediction of two groundwater sustainability indicators in semi-arid aquifers using machine learning.

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Title: Prediction of two groundwater sustainability indicators in semi-arid aquifers using machine learning.
Authors: Yazdi, Susan Hayeri1, susan.hayeri@gmail.com, Robati, Maryam1, maryamrobati1984@gmail.com, Samani, Saeideh2, samani.s2013@gmail.com, Hargalani, Fariba Zamani1, zamani.fariba@gmail.com
Source: Environmental Earth Sciences; May2025, Vol. 84 Issue 11, p1-31, 31p
Database: Applied Science & Technology Source
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Header DbId: aci
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PubType: Academic Journal
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  Data: Prediction of two groundwater sustainability indicators in semi-arid aquifers using machine learning.
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  Data: <searchLink fieldCode="AU" term="%22Yazdi%2C+Susan+Hayeri%22">Yazdi, Susan Hayeri</searchLink><relatesTo>1</relatesTo>, <i>susan.hayeri@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Robati%2C+Maryam%22">Robati, Maryam</searchLink><relatesTo>1</relatesTo>, <i>maryamrobati1984@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Samani%2C+Saeideh%22">Samani, Saeideh</searchLink><relatesTo>2</relatesTo>, <i>samani.s2013@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Hargalani%2C+Fariba+Zamani%22">Hargalani, Fariba Zamani</searchLink><relatesTo>1</relatesTo>, <i>zamani.fariba@gmail.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Earth+Sciences%22">Environmental Earth Sciences</searchLink>; May2025, Vol. 84 Issue 11, p1-31, 31p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185809659
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        Value: 10.1007/s12665-025-12253-w
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        Text: English
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              Text: May2025
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