Achieving net zero emissions in sustainable environmental remediation through the integration of IoT and Big Data

This study explores the integration of Internet of Things (IoT) and Big Data technologies to achieve net zero emissions in environmental remediation. The research focuses on how IoT sensors and Big Data analytics can enhance the monitoring, management, and optimization of remediation processes, leading to substantial emission reductions. By leveraging real-time data collection and advanced analytics, the study aims to improve the efficiency of remediation technologies, reduce operational costs, and meet sustainability targets. The research will evaluate case studies where IoT and Big Data have been effectively utilized in environmental remediation, providing insights into best practices and potential challenges. The goal is to demonstrate how these technologies can contribute to sustainable remediation practices and support the achievement of net zero emissions. By integrating IoT and Big Data, the study seeks to develop practical solutions for optimizing environmental remediation efforts and advancing sustainability goals. The findings will offer a comprehensive understanding of the benefits and limitations of these technologies in the context of environmental remediation.