A Comparative Study on Smart Water Resource Management: Evaluating IoT-Driven Solutions for Sustainable Water Optimization

Water resources management is a key global problem of population growth, rapid urbanization and lack of water caused by climate change. Traditional water management systems are not effective and lead to excessive consumption, loss and reduction in distribution. This article offers an intelligent, data -based and sustainable water management frame which incorporates real –time monitoring based on IoT, a predictive analysis fueled by AI and automated control mechanisms. In deployment of sensor networks, cloud capture and automatic learning algorithms, the system ensures optimal water allowance, detection of early leaks and improved water conservation. The proposed model has been installed in several areas such as urban infrastructure, agriculture, and industrial sector to solve both water quality and the number of problems. Thanks to intellectual measurement, automatic irrigation in real-time and consumer feedback can reduce water consumption to 30%, but the efficiency of the system is greatly improved. Integrated Blockchain Technology Transparent management of water supply and Renewable Energy Infrastructure provide even more stability. This study highlights the changing technology's potential by ensuring the safety of water supply and promoting sustainable development for future generations.