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.

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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
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article

Role of Artificial Intelligence in Improving Water Resource Management: From Demand Forecasting to Waste Reduction and Water Crisis Mitigation

Iman Hajirad
1 citations
Nutrition and Food Processing
Water-Energy-Food Nexus Studies
0.82
article

Role of Artificial Intelligence in Improving Water Resource Management: From Demand Forecasting to Waste Reduction and Water Crisis Mitigation

Iman Hajirad
article en
1 citations

Abstract

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.

Nutrition and Food ProcessingVol. 8(5)
University of Tehran (IR)
Openalex Percentile: Top 27%
Water-Energy-Food Nexus Studies
0.82
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