Urban water systems are under great strain due to population expansion, climate change, and aging infrastructure. Conventional water management practices are falling short of addressing the rising demand for both sustainable and efficient water utilization. Approximately,30% of urban water is wasted due to leaks and inefficiencies, underscoring the pressing need for innovative solutions. This study explores how smart water grids and advanced technologies can boost the efficiency and resilience of urban water systems. By integrating IoT sensors, real-time data analytics, and automated control systems, smart water grids deliver valuable benefits such as real-time monitoring, leak detection, and improved water distribution efficiency.

A mixed-methods approach is employed in this study, integrating quantitative data analysis from smart water grid installation in various urban areas with qualitative perspectives from stakeholder interviews and detailed case studies. Key components involve the installation of IoT-enabled sensors for the live monitoring of water quality, flow, and pressure. The data gathered from these sensors will be evaluated with advanced statistical models and Geographic Information Systems (GIS) to chart water usage patterns and pinpoint infrastructure weaknesses. Furthermore, machine learning algorithms will be used to predict potential failures and dynamically adjust water supply to match demand.

The anticipated results of this study include notable reductions in non-revenue water, timely leak repairs, and improved water distribution efficiency. Such improvements are more likely to foster more sustainable urban development by guaranteeing a reliable water supply, lowering operational costs, and lessening environmental impacts. By tackling the pressing challenges of urban water management, this study aspires to establish more robust, efficient, and sustainable urban water systems, offering worldwide advantages to societies.