ISI Journals

[International Scientific Indexing]

[Institute for Scientific Information]

[P-ISSN: 2413-5100] & [E-ISSN: 2413-5119]

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

Open PDF in Browser
World Information Technology and Engineering Journal, 2023


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


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.

About ISI Journals: ISI Journals are devoted to the rapid worldwide dissemination of research and is composed of a number of specialized research networks.

Special thanks to:

[Science Direct, Elsevier, Springer, SAGE Publications, EBSCOHost, Oxford University Press, CRC Press, Cambridge University Press, Pearson Education, Wolters Kluwer, Cengage, McGraw Hill, Hodder & Stoughton, Macmillan Learning, Scholastic, IEEE Standards Association, Association for Computing Machinery, American National Standards Institute, American Society of Mechanical Engineers, NFPA, American Society of Civil Engineers, ASTM International, Brazilian National Standards Organization, Emerald, Taylor & Francis, Wiley, ProQuest, JSTOR, Springer Nature]

Powered by ISI Journals (International Scientific Indexing & Institute for Scientific Information)