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All issues Volume 708 (2026) E3S Web Conf., 708 (2026) 02006 References
Open Access
Issue
E3S Web Conf.
Volume 708, 2026
7th International Conference on Smart Applications and Water Information Systems: “Intelligent Systems, Geospatial Technologies and Modeling for the Sustainable Management of Water Resources” (SAWIS 2025)
Article Number 02006
Number of page(s) 8
Section Water Quality, Treatment, and Environmental Processes
DOI https://doi.org/10.1051/e3sconf/202670802006
Published online 30 April 2026
  1. P.K. Yadava, H. Kumar, A. Singh, V. Kumar, and S. Verma, Impact of climate change on water quality and its assessment, in Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence (Elsevier, 2023), pp. 39-54. https://doi.org/10.1016/B978-0-323-99714-0.00002-9 [Google Scholar]
  2. E. O’Connell, Towards adaptation of water resource systems to climatic and socioeconomic change, Water Resour. Manage. 31, 2965-2984 (2017). https://doi.org/10.1007/s11269-017-1734-2 [Google Scholar]
  3. M.M. Mundu, J.I. Sempewo, S.N. Nnamchi, and D.E. Uti, Solar-powered desalination technologies for sustainable water security solutions, Int. J. Energy Res. 2025, 3482306 (2025). https://doi.org/10.1155/er/3482306 [Google Scholar]
  4. G. Kyriakarakos and G. Papadakis, Is small scale desalination coupled with renewable energy a cost-effective solution?, Appl. Sci. 11, 5419 (2021). https://doi.org/10.3390/app11125419 [Google Scholar]
  5. T.M. Murugan, R. Kiruba Shankar, P. Shivkumar, S. Raja Kumar, K. Gayathri, and A. Jeyam, Monitoring and controlling the desalination plant using IoT, Meas. Sens. 27, 100720 (2023). https://doi.org/10.1016/j.measen.2023.100720 [Google Scholar]
  6. M. Alshehri, A. Bhardwaj, M. Kumar, S. Mishra, and J. Gyani, Cloud and IoT based smart architecture for desalination water treatment, Environ. Res. 195, 110812 (2021). https://doi.org/10.1016/j.envres.2021.110812 [Google Scholar]
  7. K. Kshirsagar, A. Kulkarni, J. Karkhele, D. Gajare, N. Deshmukh, and S.A. Kedar, IoT-based automation of the prebuilt solar desalination system, in Intelligent Strategies for ICT, edited by M.S. Kaiser, J. Xie, and V.S. Rathore, Lecture Notes in Networks and Systems (Springer Nature, Singapore, 2024), pp. 397-410. https://doi.org/10.1007/978-981-97-1260-133 [Google Scholar]
  8. A.M. Odeh and I. Ishaq, Integration of IoT technologies for enhanced monitoring and control in hybrid-powered desalination systems: A sustainable approach to freshwater production, IoT 5, 311-331 (2024). https://doi.org/10.3390/iot5020016 [Google Scholar]
  9. M. Shammi, Md.R. Mostafizur, Desalination technologies and potential mathematical modeling for sustainable water-energy nexus, in: Water Engineering Modeling and Mathematic Tools (Elsevier, 2021), pp. 251-269. https://doi.org/10.1016/B978-0-12-820644-7.00004-9 [Google Scholar]
  10. A. Golabi, A. Erradi, H. Qiblawey, A. Tantawy, A. Bensaid, and K. Shaban, Reverse osmosis desalination process modeling and simulation with membrane fouling, in: Proceedings of the INTERNATIONAL CONFERENCE ON ELECTRONICS, ENGINEERING PHYSICS, AND EARTH SCIENCE, AIP Conf. Proc. 3034, 090003 (2024). https://doi.org/10.1063/5.0200360 [Google Scholar]
  11. A.K. Kandathil, N. Mansour, S. Sreedharan, and M. Taleb, Solar Powered Battery-Less Portable RO Desalination Unit: Simulation Studies, in: Proceedings of the 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO), Manama, Bahrain, 2019, pp. 1-6. https://doi.org/10.1109/ICMSAO.2019.8880312 [Google Scholar]
  12. A. Lilane, D. Saifaoui, Y. Aroussy, M. Chouiekh, M.A.S. Eldean, and A. Mabrouk, Simulation and optimization of pilot reverse osmosis desalination plant powered by photovoltaic solar energy. Desal. Water Treat. 258, 16-42 (2022) https://doi.org/10.5004/dwt.2022.28330 [CrossRef] [Google Scholar]
  13. M. Mohammed, M.E.A. Mohamed, Control of Reverse Osmosis Process at a Brackish Water Desalination Station, in: The Proceedings of the International Conference on Electrical Systems & Automation, M. Bendaoud, B. Wolfgang, K. Chikh (Eds.) (Springer Singapore, Singapore, 2022), pp. 143-154. https://doi.org/10.1007/978-981-19-0039-6_12 [Google Scholar]
  14. T.C. Timmes, H.-C. Kim, and B.A. Dempsey, Electrocoagulation pretreatment of seawater prior to ultrafiltration: Pilot-scale applications for military water purification systems. Desalination 250, 6-13 (2010) https://doi.org/10.1016/j.desal.2009.03.021 [Google Scholar]
  15. H. Shemer, D. Hasson, and R. Semiat, State-of-the-art review on post-treatment technologies. Desalination 356, 285-293 (2015) https://doi.org/10.1016/j.desal.2014.09.035 [CrossRef] [Google Scholar]

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