Abstract Summary
Lusaka and its peri-urban areas are currently struggling with high levels of NRW, water contamination and climate change impacts that affect water supply. These problems are felt most by the poor because they are denied safe and reliable water supply. This paper aims at discussing the prospects of the application of AI in water management for improved efficiency, sustainability, and climate resilience of water supply networks in Lusaka. Main Outcomes & Recommendations: Implementation of IoT sensors in peri-urban areas of Lusaka to monitor water quality and supply. Predictive maintenance solutions with the help of AI to reduce the number of pipeline failure and water loss with the target of achieving 15-20% of NRW reduction. Effective monitoring and analysis of water distribution to ensure that the right amount of water is supplied in the right areas and the operations are efficient. This article presents a case of Kanyama and George compounds, where the use of digital water solutions can be seen in the informal settlements. Benefits to the Conference: This paper offers a framework and a set of recommendations for the digital management of water in a resource-scarce context. It is consistent with the circular water economy through embracing smart monitoring, policy advice, and water management solutions that can be adopted in other cities around the world.
