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Predicting Uranium in Punjab’s Groundwater Using Common Anions: A Machine Learning Approach

Year: 2026

Type: article

Source: ACS Sustainable Resource Management

DOI: 10.1021/acssusresmgt.5c00505

Authors: Sankar Sudhir, Vamanie Perumal, Tanmayaa Nayak, Thalappil Pradeep

Institution: Indian Institute of Technology Madras

Language: English

Topic: Water Quality and Pollution Assessment

Subfield: Water Science and Technology

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

Funders: Department of Science and Technology, Ministry of Science and Technology, India, Indian Institute of Technology Madras, Ministry of Education, India

OpenAlex ID: W7141059720

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Cites: 58

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