Compositional data analysis of smoke emissions from debris piles with low-density polyethylene

Abstract

Data describing the composition of smoke are inherently multivariate and always non-negative parts of a whole. The data are relative and the information is contained in the ratios between parts of the composition. A prior analysis of smoke emissions produced from the burning of manzanita wood mixed with low-density polyethylene plastic applied traditional statistical methods to the compositional data and found no effect. The current paper applies compositional data techniques to these smoke emissions to determine if the prior analysis was accurate. Analysis of variance of the isometric log-ratios showed that LDPE significantly affected the CO₂emission ratio for 8 of the 191 trace gases; this analysis showed none of the gases identified in the previous analysis were affected by LDPE. LDPE did not affect the CO₂emission ratios for the alkanes, alkenes, alkynes, aldehydes, cycloalkanes, cycloalkenes, diolefins, ketones, MAHs, and PAHs. Compositional data analysis should be used to analyze smoke emissions data. Burning contaminant-free LDPE should produce emissions like wood.

Citation

Weise, David R.; Jung, Heejung; Palarea-Albaladejo, Javier; Cocker, David R. 2020. Compositional data analysis of smoke emissions from debris piles with low-density polyethylene. Journal of the Air & Waste Management Association. 70(8): 834-845. https://doi.org/10.1080/10962247.2020.1784309.