AI-Powered Smart Water Management Systems: Ensuring Sustainability in Urban Areas

Water scarcity is becoming an increasingly critical issue for urban areas worldwide, exacerbated by rapid populationgrowth, climate change, and inefficient water management practices. In response, smart water management systems powered by Artificial Intelligence (AI) are emerging as a key solution to ensure sustainable water usage. AI technologies, including machine learning, data analytics, and predictive modeling, can optimize water distribution, reduce wastage, monitor water quality, and improve decision-making processes in water management. This paper explores the application of AI in smart water management systems, highlighting its potential to address urban water challenges. It discusses how AI-powered tools can enhance water resource allocation, leak detection, and real-time monitoring, ultimately leading to more efficient and sustainable water usage in cities. Furthermore, the paper examines the integration of IoT devices with AI systems to provide continuous data collection, analysis, and response mechanisms. The paper concludes with an outlook on the future of AI in water management, addressing the challenges of implementation and data privacy concerns

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-03
DOI
https://doi.org/10.5281/zenodo.15333895
Primary Topic
Water Quality Monitoring Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Powered Smart Water Management Systems: Ensuring Sustainability in Urban Areas

Zenodo (CERN European Organization for Nuclear Research)
Water Quality Monitoring Technologies
article

AI-Powered Smart Water Management Systems: Ensuring Sustainability in Urban Areas

article en

Abstract

Water scarcity is becoming an increasingly critical issue for urban areas worldwide, exacerbated by rapid populationgrowth, climate change, and inefficient water management practices. In response, smart water management systems powered by Artificial Intelligence (AI) are emerging as a key solution to ensure sustainable water usage. AI technologies, including machine learning, data analytics, and predictive modeling, can optimize water distribution, reduce wastage, monitor water quality, and improve decision-making processes in water management. This paper explores the application of AI in smart water management systems, highlighting its potential to address urban water challenges. It discusses how AI-powered tools can enhance water resource allocation, leak detection, and real-time monitoring, ultimately leading to more efficient and sustainable water usage in cities. Furthermore, the paper examines the integration of IoT devices with AI systems to provide continuous data collection, analysis, and response mechanisms. The paper concludes with an outlook on the future of AI in water management, addressing the challenges of implementation and data privacy concerns

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 57%
Water Quality Monitoring Technologies
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