Intelligent Water System
an Intelligent Water System (IWS)[1][2][3] uses hundreds of sensors and actuators to make informed, data-driven decisions in-line with best-practices and regulations, sometimes referred to as smart water management.[4][5][6] IWSs are commonly found in applications such as Smart Water Distribution & Monitoring, Smart Wastewater Treatment & Recycling, and Stormwater Management & Resilience, reflecting a Digital Transformation in Water Utilities[6][4]. This transformation builds on advances in IoT technology and Artificial Intelligence, offering benefits such as enhanced operational efficiency, predictive maintenance guidance, & resource conservation. However these same technologies incur cyber-risks which operators must consider.[7]
Concerns Regarding Cyberbiosecurity
IWSs being complex and critical components of modern infrastructure, cyberbiosecurity is of upmost importance[4][8][9][10][11]. Increased reliance on networked communications for monitoring and control necessitates reliable methods to detect anomalies indicating potential cyber-incidents[12][13] and/or regulatory violations[14]. Facilities ultimately adopt these technologies and associated risks to achieve goals such as boosting water system efficiency, cost optimization, elevating public health standards, supporting smart irrigation practices, and capturing deeper insights to support achieving these aforementioned goals through data analysis.[15]
Artificial Intelligence in Intelligent Water Systems
Artificial Intelligence (AI) solutions have emerged as the leading approach to secure IWSs, in addition to other critical infrastructure systems such as nuclear plants, smart grids and smart farms.[4] In water treatment and management applications, AI is used to support informed decision making and anomaly detection that could indicate cyber-attacks.[4][9] Researchers have developed comprehensive models intended to forecast water requirements & optimize system management to meet demand while minimizing resource use; with some even including detection capabilities aiding in securing IWSs.[9][16] In additional to these use cases, AI can be used to provide greater insights to policymakers responsible for regulations affecting water quality.[4] As models capable of extracting meaningful correlations from big data sources continue to develop, Researchers and Policymakers gain the ability to understand the effects of past regulatory changes and improve future policy making through an informed data-driven process.[17][18][19]
This article "Intelligent Water System" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:Intelligent Water System. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
- ↑ "Viewing 4949-Intelligent-Water-Systems.pdf" (PDF). The Water Research Foundation. 2025-10-14. Retrieved 2025-10-01.
- ↑ "Intelligent Water Systems : Water Environment Solutions : Hitachi". www.hitachi.com. Retrieved 2025-09-29.
- ↑ Federation, Water Environment (2017-03-31). "Intelligent Water Systems: The Path to a Smart Utility". Access Water.
- ↑ 4.0 4.1 4.2 4.3 4.4 4.5 Batarseh, Feras A.; Kulkarni, Ajay (March 2023). "AI for Water". Computer. 56 (3): 109–113. Bibcode:2023Compr..56c.109B. doi:10.1109/MC.2022.3231142. ISSN 1558-0814.
- ↑ Zhu, Ziang; Zhang, Han; Zhang, Shubo; Wang, Jinfeng; Ren, Hongqiang (2025), Garg, Manoj Chandra; Rajput, Vishnu D.; Minkina, Tatiana; Himanshu, Sushil Kumar, eds., "Intelligent Monitoring and Control Systems for Smart Water Management", Nano-solutions for Sustainable Water and Wastewater Management: From Monitoring to Treatment, Cham: Springer Nature Switzerland, pp. 369–390, doi:10.1007/978-3-031-82794-5_16, ISBN 978-3-031-82794-5, retrieved 2025-09-30
- ↑ 6.0 6.1 "IEEE Smart Water Management". smartcities.ieee.org. Retrieved 2025-09-30.
- ↑ Dada, Michael Ayorinde; Majemite, Michael Tega; Obaigbena, Alexander; Daraojimba, Onyeka Henry; Oliha, Johnson Sunday; Nwokediegwu, Zamathula Queen Sikhakhane (2024). "Review of smart water management: IoT and AI in water and wastewater treatment". World Journal of Advanced Research and Reviews. 21 (1): 1373–1382. doi:10.30574/wjarr.2024.21.1.0171. ISSN 2581-9615.
- ↑ Sobien, Daniel; Kulkarni, Ajay; Batarseh, Feras A. (2025-02-01). "Toward Identifying Cyber Dependencies in Water Distribution Systems Using Causal AI". Journal of Water Resources Planning and Management. 151 (2): 04024069. doi:10.1061/JWRMD5.WRENG-6488.
- ↑ 9.0 9.1 9.2 Kulkarni, Ajay; Yardimci, Mehmet; Kabir Sikder, Md Nazmul; Batarseh, Feras A. (2023-09-01). "P2O: AI-Driven Framework for Managing and Securing Wastewater Treatment Plants". Journal of Environmental Engineering. 149 (9): 04023045. doi:10.1061/JOEEDU.EEENG-7266.
- ↑ Hassanzadeh, Amin; Rasekh, Amin; Galelli, Stefano; Aghashahi, Mohsen; Taormina, Riccardo; Ostfeld, Avi; Banks, M. Katherine (2020-05-01). "A Review of Cybersecurity Incidents in the Water Sector". Journal of Environmental Engineering. 146 (5): 03120003. doi:10.1061/(ASCE)EE.1943-7870.0001686. ISSN 1943-7870.
- ↑ Sobien, Daniel; Yardimci, Mehmet O.; Nguyen, Minh B. T.; Mao, Wan-Yi; Fordham, Vinita; Rahman, Abdul; Duncan, Susan; Batarseh, Feras A. (2023), Greenbaum, Dov, ed., "AI for Cyberbiosecurity in Water Systems—A Survey", Cyberbiosecurity: A New Field to Deal with Emerging Threats, Cham: Springer International Publishing, pp. 217–263, doi:10.1007/978-3-031-26034-6_13, ISBN 978-3-031-26034-6, retrieved 2025-10-07
- ↑ Yardimci, Mehmet Oguz; Batarseh, Feras A. (February 2025). "Towards Securing Water Systems Communications from Adversarial Attacks using AI Assurance". 2025 5th IEEE Middle East and North Africa Communications Conference (MENACOMM). pp. 1–7. doi:10.1109/MENACOMM62946.2025.10911020. ISBN 979-8-3315-1995-7. Search this book on
- ↑ Taormina, Riccardo; Galelli, Stefano; Tippenhauer, Nils Ole; Salomons, Elad; Ostfeld, Avi; Eliades, Demetrios G.; Aghashahi, Mohsen; Sundararajan, Raanju; Pourahmadi, Mohsen; Banks, M. Katherine; Brentan, B. M.; Campbell, Enrique; Lima, G.; Manzi, D.; Ayala-Cabrera, D. (2018-08-01). "Battle of the Attack Detection Algorithms: Disclosing Cyber Attacks on Water Distribution Networks". Journal of Water Resources Planning and Management. 144 (8): 04018048. doi:10.1061/(ASCE)WR.1943-5452.0000969. ISSN 1943-5452.
- ↑ Wang, Yingjie; Sobien, Dan; Kulkarni, Ajay; Batarseh, Feras A. (2024). "Quantifying water effluent violations and enforcement impacts using causal AI". Policy & Internet. 16 (2): 317–338. doi:10.1002/poi3.402. ISSN 1944-2866.
- ↑ Bradham, David (2024-08-26). "Five Benefits of Smart Water Management". Banyan Water. Retrieved 2025-09-30.
- ↑ Sharma, Sunil Kumar (2022-05-15). "A novel approach on water resource management with Multi-Criteria Optimization and Intelligent Water Demand Forecasting in Saudi Arabia". Environmental Research. 208. Bibcode:2022ER....20812578S. doi:10.1016/j.envres.2021.112578. ISSN 0013-9351. PMID 34951989 Check
|pmid=value (help). Unknown parameter|article-number=ignored (help) - ↑ Park, Jungsu; Lee, Woo Hyoung; Kim, Keug Tae; Park, Cheol Young; Lee, Sanghun; Heo, Tae-Young (2022-08-01). "Interpretation of ensemble learning to predict water quality using explainable artificial intelligence". Science of the Total Environment. 832. Bibcode:2022ScTEn.83255070P. doi:10.1016/j.scitotenv.2022.155070. ISSN 0048-9697. PMID 35398119 Check
|pmid=value (help). Unknown parameter|article-number=ignored (help) - ↑ Abdulameer, Layth; Al-Khafaji, Mahmoud Saleh; Al-Awadi, Aysar Tuma; Al Maimuri, Najah M. L.; Al-Shammari, Musa; Al-Dujaili, Ahmed N.; DhiyaAl‑Jumeily (2025-04-15). "Artificial Intelligence in Climate-Resilient Water Management: A Systematic Review of Applications, Challenges, and Future Directions". Water Conservation Science and Engineering. 10 (1): 44. Bibcode:2025WCSE...10...44A. doi:10.1007/s41101-025-00371-2. ISSN 2364-5687.
- ↑ He, Minxue; Rozos, Evangelos (2025-06-27). "Editorial: Harnessing artificial intelligence to address climate-induced challenges in water resources management". Frontiers in Water. 7. Bibcode:2025FrWat...737341H. doi:10.3389/frwa.2025.1637341. ISSN 2624-9375. Unknown parameter
|article-number=ignored (help)
