Model uncertainty analysis using data analytics for life-cycle assessment (LCA) applications

Investigating each uncertainty source of the model indicated the importance of the accurate characterization, propagation, and quantification of uncertainty, and independent and relatively easy to implement methods that provide robust grounds for objective model uncertainty analysis for LCA applications are proposed.