Artificial Intelligence for Smart Water Treatment and Management
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Wastewater Treatment and Reuse".
Deadline for manuscript submissions: 20 July 2026 | Viewed by 2
Special Issue Editor
Interests: artificial Intelligence for water treatment and desalination; digital Twin technolo-gies for water systems; data-driven forecasting and analytics; smart and distributed water systems; virtual water infrastructure; autonomous and adaptive water treat-ment systems; process optimization
Special Issue Information
Dear Colleagues,
Water resource management is under unprecedented global pressure due to accelerating scarcity, deteriorating quality, aging infrastructure, and heightened climate variability. These interconnected challenges demand innovative, forward-looking solutions capable of anticipating risks, optimizing performance, and strengthening the resilience of water systems worldwide. Artificial Intelligence (AI) has rapidly emerged as a transformative force in this domain, enabling deeper insights into overall complex water treatment and management operations, accurate forecasting of water-related phenomena, and enhanced operational efficiency across treatment, distribution, and environmental management.
This Special Issue, titled “Artificial Intelligence for Smart Water Treatment and Management”, seeks to publish groundbreaking and novel research that advances the application of AI and machine learning across the full spectrum of water technology. Submissions to this issue that introduce new methodologies, intelligent frameworks, data-driven strategies, or compelling real-world demonstrations that push the boundaries of what AI can achieve in water treatment and management are welcome. Areas of interest include, but are not limited to,
- Smart water quality monitoring and pollution detection;
- Optimization and control of treatment, purification, and desalination processes;
- Decision support for operational management, planning, and resource allocation;
- Forecasting of demand, system behavior, and hydrological conditions;
- Integrated sensing, IoT-enabled monitoring, and advanced data acquisition;
- Early detection of system disturbances and predictive maintenance;
- Adaptive, self-optimizing, or autonomous water treatment and distribution systems;
- Case studies demonstrating impactful AI-driven solutions in real-world settings.
By assembling diverse and forward-looking contributions, this Special Issue aims to accelerate progress toward intelligent, resilient, and transformative water treatment and management solutions for the future.
Dr. Bilal Khan
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence in water treatment
- machine learning and water management
- smart water treatment and desalination systems
- treatment process optimization
- predictive analysis and forecasting
- intelligent sensing and IoT
- autonomous water treatment and desalination systems
- sustainable water technologies
- data-driven decision support
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