Research on the Relationship between Carbon Emissions and Garbage Classification Based on Pearson Correlation Coefficient

Rui Ban, Dongyang Xi, Yin Wang, Wenyang Cui, Tingting Yan

Abstract: The carbon dioxide generated by global household waste treatment has caused enormous pressure on the environment and climate change. In response to this issue, this article proposes a model based on Pearson correlation coefficient to analyze the correlation between domestic waste classification and carbon emissions. Firstly, the Pearson correlation coefficient model was established. Then a detailed descriptive analysis was carried out on the total amount of municipal waste, the amount of methane produced by landfills, the carbon dioxide produced in the process of waste incineration and the methane and carbon dioxide gas in the process of composting. Through the use of two data analysis tools, Excel and SPSS, these data were deeply excavated and analyzed. Finally, the model was tested using the Jacques Bella test. It was found that carbon emissions are closely related to the carbon emissions during the waste classification process. The experimental results show that compared with traditional models, our model has higher accuracy in outputting correlation results, providing more reliable support for low-carbon domestic waste treatment. These findings provide important theoretical basis for the formulation and implementation of effective garbage classification and treatment policies, and help promote the realization of environmentally friendly and sustainable development models.