Deployment and use of Artificial Intelligence (AI) in water resources and water management

Abstract

The demand for water resources is continuously increasing as the world population grows, and this is putting significant pressure on the available water supply. According to estimates, the world will face a 0% gap between water demand and supply by 2030 under current practices. Moreover, the shortage of water resources, unpredictable hydrological conditions, and extreme weather events such as floods and droughts pose a severe threat to stability and prosperity. One way to address this issue is by utilizing artificial intelligence (AI) to develop efficient water treatment plants and optimize water resources to reduce energy costs in the long run. AI can be employed in water management to analyze data, create regression models, and develop algorithms that aid in building effective water supply systems and networks, as well as assessing the health of water resources. The application of AI in water management and infrastructure can lead to the development of intelligent water systems that are sustainable, cost-effective, and adaptable to changing conditions. This technology allows for optimization of water management solutions and prediction of potential damage. Through a literature review that examines the intersection of Artificial Intelligence and Civil Engineering in the context of Water Resources and Water Management, this study highlights the potential of AI to transform water management practices. Bibliographic mapping using VosViewer is proposed as a means of directing future research in this area.