1 Department of Environmental science and policy, Pace University, New York, US.
2 Senior Research Consultant, Energhx, UK.
3 Systems support Analyst, Shell, Nigeria.
4 Researcher, Department Construction Science and Management, Lincoln school of Architecture and the Built Environment, University of Lincoln, UK.
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(03), 1991-2013
Received on 08 August 2024; revised on 15 September 2024; accepted on 16 September 2024
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.
Net Zero Emissions; IoT; Big Data; Environmental Remediation; Emission Reduction; Real-Time Monitoring
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Adejumo Azeez Adewale, Adeyemi Zaheed Oshilalu, Olubunmi Ademuyiwa and Feyisayo Ajayi. Achieving net zero emissions in sustainable environmental remediation through the integration of IoT and Big Data. World Journal of Advanced Research and Reviews, 2024, 23(3), 1991-2013. Article DOI: https://doi.org/10.30574/wjarr.2024.23.3.2867