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
Institutions
- Sarojini Naidu Medical College (IN)
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
- 0.00