Leveraging big data for environmental sustainability and resource management
1 Department of Operations and Information Systems, Information Systems, University of Utah, Utah, USA.
2 Faculty of Science, Department of Botany, Obafemi Awolowo University Ile-Ife, Nigeria.
3 Faculty of Health and Life Sciences, De Montfort University, Leicester, United Kingdom.
Review Article
World Journal of Advanced Research and Reviews, 2022, 16(03), 1196-1202
Publication history:
Received on 01 November 2022; revised on 22 December 2022; accepted on 30 December 2022
Abstract:
The increasing availability of big data offers unprecedented opportunities to address pressing environmental challenges and optimize resource management. By harnessing advanced analytics, machine learning, and real-time monitoring systems, big data enables more informed decision-making to promote sustainability. This paper explores the role of big data in environmental sustainability, focusing on its applications in resource optimization, predictive modeling, biodiversity monitoring, and policy development. The study also discusses challenges, implications, and potential solutions, providing actionable recommendations for leveraging big data to achieve sustainable development goals and mitigate environmental degradation.
Keywords:
Big Data; Environmental Sustainability; Predictive Modeling; Resource Management; Biodiversity Monitoring
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