Current - Issue
Year 2026 · Volume 6 · Issue 4
Review Article
Artificial Intelligence in Smart Water Management: Emerging Technologies, Applications, Challenges, and Future Directions
Pragadeeshwaran Kannan1
1 Centre for Applied Geology, the Gandhigram Rural Institute (Deemed to be University), Gandhigram, Dindigul, Tamil Nadu, India.
Published Online: July-August 2026
Pages: 374-380
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20260604041References
1. Rashid, M., Saeed, A., Khalid, M., Murtaza, A., & Saleem, M. W. (2026). The Transformative Role of Artificial Intelligence in Water
Resources Engineering: A Comprehensive Review. Environmental Modelling & Software, 106857.
2. Zou, S., Ju, H., & Zhang, J. (2025). Water quality management in the age of AI: Applications, challenges, and prospects. Water, 17(11),
1641
3. Essamlali, I., Nhaila, H., & El Khaili, M. (2024). Advances in machine learning and IoT for water quality monitoring: A comprehensive
review. Heliyon, 10(6).
4. Jayaraman, P., Nagarajan, K. K., Partheeban, P., & Krishnamurthy, V. (2024). Critical review on water quality analysis using IoT and
machine learning models. International Journal of Information Management Data Insights, 4(1), 100210.
5. Sit, M., Demiray, B. Z., Xiang, Z., Ewing, G. J., Sermet, Y., & Demir, I. (2020). A comprehensive review of deep learning applications
in hydrology and water resources. Water Science and Technology, 82(12), 2635–2670.
6. Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., García, S., Gil-López, S., Molina, D., & Benjamins,
R. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.
Information Fusion, 58, 82–115.
7. Alshami, A., Ali, E., Elsayed, M., Eltoukhy, A. E. E., & Zayed, T. (2024). IoT innovations in sustainable water and wastewater
management and water quality monitoring: a comprehensive review of advancements, implications, and future directions. Ieee Access,
12, 58427–58453.
8. Nagpal, M., Siddique, M. A., Sharma, K., Sharma, N., & Mittal, A. (2024). Optimizing wastewater treatment through artificial
intelligence: recent advances and future prospects. Water Science & Technology, 90(3), 731–757.
9. Ross, I., McDonough, J., Miles, J., Storch, P., Thelakkat Kochunarayanan, P., Kalve, E., Hurst, J., S. Dasgupta, S., & Burdick, J. (2018).
A review of emerging technologies for remediation of PFASs. Remediation Journal, 28(2), 101–126.
Resources Engineering: A Comprehensive Review. Environmental Modelling & Software, 106857.
2. Zou, S., Ju, H., & Zhang, J. (2025). Water quality management in the age of AI: Applications, challenges, and prospects. Water, 17(11),
1641
3. Essamlali, I., Nhaila, H., & El Khaili, M. (2024). Advances in machine learning and IoT for water quality monitoring: A comprehensive
review. Heliyon, 10(6).
4. Jayaraman, P., Nagarajan, K. K., Partheeban, P., & Krishnamurthy, V. (2024). Critical review on water quality analysis using IoT and
machine learning models. International Journal of Information Management Data Insights, 4(1), 100210.
5. Sit, M., Demiray, B. Z., Xiang, Z., Ewing, G. J., Sermet, Y., & Demir, I. (2020). A comprehensive review of deep learning applications
in hydrology and water resources. Water Science and Technology, 82(12), 2635–2670.
6. Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., García, S., Gil-López, S., Molina, D., & Benjamins,
R. (2020). Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.
Information Fusion, 58, 82–115.
7. Alshami, A., Ali, E., Elsayed, M., Eltoukhy, A. E. E., & Zayed, T. (2024). IoT innovations in sustainable water and wastewater
management and water quality monitoring: a comprehensive review of advancements, implications, and future directions. Ieee Access,
12, 58427–58453.
8. Nagpal, M., Siddique, M. A., Sharma, K., Sharma, N., & Mittal, A. (2024). Optimizing wastewater treatment through artificial
intelligence: recent advances and future prospects. Water Science & Technology, 90(3), 731–757.
9. Ross, I., McDonough, J., Miles, J., Storch, P., Thelakkat Kochunarayanan, P., Kalve, E., Hurst, J., S. Dasgupta, S., & Burdick, J. (2018).
A review of emerging technologies for remediation of PFASs. Remediation Journal, 28(2), 101–126.
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