A method to mitigate GHG emissions produced from Diwali crackers using Principal Component Analysis

Abstract

Due to the rapidly expanding population, currently there has been an increase in the use of chemicals that are released into the atmosphere. The primary cause of this is pollution from various sorts of cracker producing enterprises and its bomb products, which, when burned, have a significant negative impact on the atmosphere and cause a wide range of issues for people. The proposed study intends to create a system for evaluating crackers in a certain area based on their capacity and emission values, and applies principal component analysis to identify the crackers that produce the most emissions. The suggested method uses principal component analysis (PCA) to reduce the dimensionality of the dataset and enhance the error factor. From the regional data, Eigenvalues, Variability (%), and Cumulative (%) have been examined. The outcomes can assist the authorities in reducing the air pollution-causing fireworks and subsequently controlling their sale and usage in the area.