Abstract

MAMANI, Julio Cesar Quispe et al. Analysis of CO2 Emissions in Peru through Principal Components and Hierarchical Classification. Rev. Inv. Cs. Agro. y Vet. [online]. 2024, vol.8, n.22, pp.176-190.  Epub Jan 20, 2024. ISSN 2664-0902.  https://doi.org/10.33996/revistaalfa.v8i22.257.

The emission of CO2, among its negative impacts, contributes to the global warming of the planet. The objective of the research was to examine the relationships between sources of CO2 emissions and removals through a Principal Component Analysis (PCA) and Hierarchical Classification. The study was conducted using a retrospective observational cohort design. Public data from the National Greenhouse Gas Inventory (INGEI) for the period 2000-2019 were analyzed. The results indicate that sectors related to Agriculture, Forestry, and Other Land Uses (ASOUT) are the major CO2 emitters. The PCA reduced the available information from 78 variables to seven principal components and two clusters. It is concluded that the application of PCA helped identify patterns in the data resulting from the classification of sources and sinks generating CO2 emissions in different economic sectors of the country.

Keywords : Principal Component Analysis; Global Warming; Climate Change; Carbon Dioxide; Carbon Dioxide Sources; Greenhouse Gases.

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