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Greenhouse Gas Control: Leveraging Data and Statistical Analysis for Effective Strategies

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World Information Technology and Engineering Journal, 2023

Autour(s)

  • Bing Pan, Lixuan Zhang, Chang Li, Don Chen, Lee Chen

Abstract

This article focuses on the application of data and statistical analysis techniques for controlling greenhouse gas (GHG) emissions. With increasing concerns about climate change and its environmental impacts, effective GHG control strategies are crucial. Data analysis and statistical techniques provide valuable tools for analyzing emission data, identifying trends, and developing informed mitigation strategies. This article reviews the existing literature on GHG control, discusses the utilization of data and statistical analysis methods, presents a research methodology utilizing these techniques, discusses the results obtained, and concludes with the potential of data and statistical analysis in advancing GHG control efforts.

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