In constructing the model, creating variable names, and linking the model to the Monte Carlo program various naming conventions have been used. These appendices attempt to provide a concise, useful guide linking conceptual variable to model variable to Monte Carlo variables designations. Tables give the basic characteristics of the output distributions for each of the 95 output VALs. These appendices describe in technical detail the Monte Carlo techniques used in the uncertainty analysis. The choice of Latin Hypercube sampling and the methodology employed to attribute output variability to input uncertainty is documented. A complete listing of the software and data base used to generate the Monte Carlo analysis is included.