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Statistical Analysis and Data-Driven Insights for CO2 Capture in Environmental Engineering

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World Basic and Applied Sciences Journal, 2023

Autour(s)

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

Abstract

This article explores the application of statistical analysis and data-driven approaches in the field of environmental engineering for CO2 capture. With the growing concern over climate change and the need to reduce greenhouse gas emissions, CO2 capture technologies have gained significant attention. Statistical analysis and data analysis techniques offer valuable tools for analyzing large-scale CO2 capture datasets, identifying trends and patterns, and making informed decisions. This article reviews the existing literature on CO2 capture, discusses the use of statistical and data analysis methods, presents a research methodology utilizing these techniques, presents the results obtained, and concludes with the potential of statistical analysis and data-driven approaches in advancing CO2 capture technologies.

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