Role of Artificial Intelligence in Improving Water Resource Management: From Demand Forecasting to Waste Reduction and Water Crisis Mitigation
Water resource management is one of the fundamental challenges in today’s world, which has become increasingly complex due to climate change, population growth, and the expansion of industrial activities. This paper examines the role of Artificial Intelligence (AI) in improving water resource management and analyzes its applications in consumption optimization, demand forecasting, water quality management, and resource waste prevention. Machine learning algorithms, neural networks, and big data processing assist decision-makers in optimizing water allocation, monitoring water quality, and predicting and managing water crises. This study demonstrates that the use of AI can significantly enhance efficiency, reduce costs, and contribute to environmental conservation.
Authors
- Iman Hajirad
Institutions
- University of Tehran (IR)
Publication Details
- Journal
- Nutrition and Food Processing
- Published
- 2025-04-15
- DOI
- https://doi.org/10.31579/2637-8914/305
- Citations
- 1
- Primary Topic
- Water-Energy-Food Nexus Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.82