Predictive Tools and Advances in Sustainable Water Resources Through Atmospheric Water Generation Under Changing Climate: A Review

Pooja Preetha, Jejal Reddy Bathi, Manoj Kumar and Venkateswara Rao Kode ()
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Pooja Preetha: Department of Mechanical and Civil Engineering, Alabama A&M University, Huntsville, AL 35762, USA
Jejal Reddy Bathi: Department of Civil and Chemical Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA
Manoj Kumar: Department of Mechanical Engineering, National Institute of Technology, Srinagar 190006, India
Venkateswara Rao Kode: Department of Civil and Chemical Engineering, University of Tennessee at Chattanooga, Chattanooga, TN 37403, USA

Sustainability, 2025, vol. 17, issue 4, 1-20

Abstract: Climate change continues to exacerbate water scarcity by altering global weather patterns and intensifying extreme climatic events. This review examines the potential of atmospheric water generation technologies to mitigate water scarcity under such conditions. By leveraging a multidisciplinary approach, we review advancements in fog harvesting, sorption-based systems, membrane technologies, radiative sky cooling, and cloud seeding. A special emphasis is placed on passive systems utilizing renewable energy to address challenges of high energy demands. Predictive tools such as machine learning, climate models, and geographic information systems are explored to optimize atmospheric water generation deployment under shifting climatic conditions. This review article outlines critical innovations in materials, economic considerations, and policy frameworks required for atmospheric water generation to transition from niche to mainstream water solutions. These findings aim to inform sustainable strategies for tackling water scarcity in the context of global climate challenges.

Keywords: atmospheric water generation; climate change; sustainable water resources; predictive tools; machine learning (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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