AI-Driven Pathways for Sustainable Water Management: Innovation, Governance, and Resilience
A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "New Sensors, New Technologies and Machine Learning in Water Sciences".
Deadline for manuscript submissions: 20 January 2027 | Viewed by 667
Special Issue Editor
Interests: water economic; water resources management; water policy assessment; water poverty
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is rapidly reshaping the ways in which water resources are monitored, allocated, governed, and protected. In the context of climate change, water scarcity, pollution risks, ecosystem degradation, and growing socio-economic demand, AI-driven approaches offer new opportunities to enhance the efficiency, equity, and resilience of water management systems. This Special Issue aims to provide an interdisciplinary platform for advancing theoretical, methodological, and empirical research on the role of AI in sustainable water management. We welcome contributions that examine how AI technologies, digital tools, and intelligent decision-support systems can improve water governance, optimize resource allocation, strengthen pollution control, support climate adaptation, and promote resilient water systems.
Topics of interest include but are not limited to: AI applications in water resource monitoring and prediction; smart irrigation and agricultural water management; AI-enabled water pollution detection and control; digital twins and intelligent water infrastructure; AI for flood, drought, and climate-risk management; decision-support systems for watershed governance; AI-driven optimization of water allocation and use efficiency; water–energy–food nexus management; data-driven approaches to water sustainability; ethical, institutional, and policy challenges of AI in water governance; and inclusive and resilient pathways for sustainable water management.
Dr. Lan Mu
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence
- sustainable water management
- water resilience
- water resource allocation
- water pollution control
- climate adaptation
- flood and drought management
- smart irrigation
- digital twins
- decision-support systems
- water–energy–food nexus
- data-driven water sustainability
- intelligent water infrastructure
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