Quantitative analysis to define baseline criteria for introducing reduced-emission firecrackers

Abstract

This research paper emphasizes the crucial role of statistical methods in validating the proposed methodology for the state-of-the-art emission testing facility. This facility is specifically designed for monitoring emissions from developed reduced-emission firecrackers and commercial crackers. Establishing baseline values, derived through statistical analysis of data collected by the emission testing facility, is pivotal in ensuring the production of less polluting firecrackers by the fireworks industry. This, in turn, supports sustainable festival celebrations and events in the future. Statistical techniques such as frequency distribution, regression equations, and the Spearman correlation coefficient were employed to understand the significance of the data and its distribution for calculating standard error and deviation. The baseline values, identified through this statistical analysis, serve as crucial parameters in the evaluation of emission levels. According to the study's findings, the P-value indicates a significant result at P < 0.05. Furthermore, the correlation coefficient between PM₁₀ and PM_2.5 is reported to have an R² value of 0.99, highlighting a strong correlation. This robust statistical foundation strengthens the credibility of the proposed methodology and underscores its importance in advancing the development and monitoring of environmentally sustainable firecrackers.