@inproceedings{034331d3eb374ac7a67696b4851630c9,
title = "Data validation in Life Cycle assessment: A review",
abstract = "Uncertainties in Life Cycle Assessment (LCA) initiatives play a major role in influencing government policies and corporations strategic plans. Thus, it is important to ensure that the models of LCA initiatives are modeled such that they resemble emissions in the real world. In this paper, the authors have reviewed the uncertainty tools used in LCA initiatives. This is conducted such that LCA modelers understand the limitations and advantages associated with LCAs, and also identify areas where data can be refined. In an event where there is a shortage of data, conservative means can be used to approximate data to best model the effects of Global Warming in the real world are discussed.",
keywords = "Global warming potential, greenhouse gases, monte carlo simulation, Pedigree matrix",
author = "Nkosinathi Madushela and Charles Mbohwa and Akinlabi, {Esther T.}",
year = "2016",
language = "English",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "948--951",
editor = "Grundfest, {Warren S.} and Craig Douglas and Ao, {S. I.}",
booktitle = "WCECS 2016 - World Congress on Engineering and Computer Science 2016",
note = "2016 World Congress on Engineering and Computer Science, WCECS 2016 ; Conference date: 19-10-2016 Through 21-10-2016",
}