Bali Rekha, Sharma Sunil Kumar, Kumar Dinesh, Ahmed Sameh S
Department of Mathematics, Harcourt Butler Technical University, Kanpur, 208002 India.
Department of Information Technology, College of Computer and Information Sciences, Majmaah University, Al-Majmaah, 11952 Saudi Arabia.
Ann Oper Res. 2021 Nov 27:1-18. doi: 10.1007/s10479-021-04435-z.
Saudi Arabia is dry and devoid of permanent water sources. Saudi Arabia's desalination plants, which provide drinkable water, rely on its oil reserves. It is one of the world's driest countries, but its population uses fresh water at a third rate. Therefore, the most crucial step is to alter people's behavior by using water more efficiently and intelligently by adopting water conservation techniques. Through adopting a strategic water strategy, the Saudi government has simplified the regulatory system in the water sector. It examines the most effective ways to generate and control water through its water policy. This research aims to forecast the water consumption required for different sectors until 2030 in Saudi Arabia and designed an intelligent Water Resource Demand Forecasting (iWRDF) model. This model used the internet of things (IoT) and big data analytics (BDA) in demand forecasting. The experimental outcomes outperform the proposed model with an accuracy of 96.86% than the existing models. Furthermore, this model helps find sustainable developmental goals and priorities for water sustainability in Saudi Arabia.
沙特阿拉伯干旱且缺乏永久性水源。沙特阿拉伯的海水淡化厂提供饮用水，这些工厂依赖其石油储备。它是世界上最干旱的国家之一，但其人口的淡水使用率仅为三分之一。因此，最关键的一步是通过采用节水技术更高效、明智地用水来改变人们的行为。通过实施战略性水资源战略，沙特政府简化了水行业的监管体系。它通过其水资源政策研究生成和控制水资源的最有效方法。本研究旨在预测沙特阿拉伯到2030年不同部门所需的用水量，并设计了一个智能水资源需求预测（iWRDF）模型。该模型在需求预测中使用了物联网（IoT）和大数据分析（BDA）。实验结果表明，该模型的准确率为96.86%，优于现有模型。此外，该模型有助于找到沙特阿拉伯水资源可持续性的可持续发展目标和优先事项。
