- Thursday, Oct 23rd, 2025
| TITLE | Smart Water Systems: Insights from Global Practices |
|---|---|
| ABSTRACT | As a result of the increasing urbanization, climate change, and shortage of water, the need to have effective and sustainable water management grows across the whole world. A cutting-edge solution to enhance the performance of water supply, detect quality, locate leakages, and operate efficiently is using Smart Water Management Systems (SWMS) that can comprise Internet of Things (IoT)-based sensors, artificial intelligence (AI), and sophisticated data analysis. This study proposes an AI- enhanced SWMS that resorts to predictive demand forecasting, anomaly detection through AI using Long short-memory networks (LSTM), real-time data monitoring via LoRa- WAN/GSM, and the use of laser to monitor water levels. The system architecture involves blockchain- based secure logging, the presence of digital twin to facilitating simulation, and a multi-layer data processing. The results of the experiment on such multi-site deployment in Saudi Arabia, the US, and Africa show better accuracy of detection of leakage with F1-scores 0.85-0.90, savings energy 14-19%, and reduction of Non- Revenue Water (NRW) 30-31%. The LSTM-based forecasting model also resulted in reducing the instances of service interruption and enabled proactive supply control with the MAPE of the forecasted values being not more than 7%. Based on the findings, SWMS serves as one of the methods that can facilitate the attainment of Sustainable Development Goals (SDG) 6 and 13 by enhancing the resilience of utility as well as facilitating equitable water governance. Problems such as stakeholder capacity building, the interoperability of devices, and the capacity to scale low-resource settings are addressed alongside tactics of incremental deployment. The given paper is not confined or restricted to the technological component of the implementation of the idea of smart water; it touches upon the economically, policy, and environmental dimensions of that issue. It also discusses the topics of interoperability, data security, start-up costs and regulatory fragmentation. |
| AUTHOR | Chandan D B, Chaitra Nayaka H R, Basavaraj Pateel B R Dept. of Computer Applications, CMR Institute of Technology, Bengaluru, India |
| PUBLICATION DATE | 2025-09-09 |
| VOLUME | 12 |
| DOI | DOI:10.15680/IJARETY.2025.1204077 |
| 77_Smart Water Systems Insights from Global Practices.pdf | |
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