The Role Of Artificial Intelligence And Machine Learning In Advancing Water Management Systems

Abstract This paper explores the role of Artificial Intelligence (AI) and Machine Learning (ML) in improving water management systems. As global water demand rises and environmental challenges like climate change and pollution strain resources, traditional methods prove insufficient. AI and ML offer data-driven solutions to optimize water distribution, detect pipeline leaks, monitor water quality, and predict demand by analyzing sensor data, weather forecasts, and historical records. These technologies enhance wastewater treatment, predictive maintenance, and resource sustainability. However, challenges like high costs and data accuracy must be addressed. This research highlights the importance of AI and ML in ensuring more efficient and resilient water management system

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.15502294
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
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article

The Role Of Artificial Intelligence And Machine Learning In Advancing Water Management Systems

Zenodo (CERN European Organization for Nuclear Research)
Species Distribution and Climate Change
article

The Role Of Artificial Intelligence And Machine Learning In Advancing Water Management Systems

article en

Abstract

Abstract This paper explores the role of Artificial Intelligence (AI) and Machine Learning (ML) in improving water management systems. As global water demand rises and environmental challenges like climate change and pollution strain resources, traditional methods prove insufficient. AI and ML offer data-driven solutions to optimize water distribution, detect pipeline leaks, monitor water quality, and predict demand by analyzing sensor data, weather forecasts, and historical records. These technologies enhance wastewater treatment, predictive maintenance, and resource sustainability. However, challenges like high costs and data accuracy must be addressed. This research highlights the importance of AI and ML in ensuring more efficient and resilient water management system

Zenodo (CERN European Organization for Nuclear Research)
Sarojini Naidu Medical College (IN)
Openalex Percentile: Top 39%
Species Distribution and Climate Change
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