The Role of Data Variability and Uncertainty in the Probability of Mitigating Environmental Impacts From Cement and Concrete
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2021-05-18
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Abstract:Concrete is the most produced manmade material globally. This widespread production results in significant anthropogenic environmental impacts, the awareness of which has spurred advances in material development to lower these burdens. However, proposed changes are often not assessed in the context of the data variability and uncertainty inherent in the environmental impact quantification methods employed. As such, the probability that any suggested strategy will result in a desired effect is not addressed. This work aims to quantitatively examine data variability, an inherent characteristic of elements in supply chains, and data uncertainty, a function of data quality for the system being modeled, in assessments of greenhouse gas (GHG) and air pollutant emissions from concrete production. Data variability is determined through ranges in requisite input values from the literature; data uncertainty is assessed through application of an established pedigree matrix method.
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Content Notes:This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license https://creativecommons.org/licenses/by/4.0/. Please cite this article as:
Miller, Sabbie. (2021). The role of data variability and uncertainty in the probability of mitigating environmental impacts from cement and concrete. Environmental Research Letters. https://doi.org/10.1088/1748-9326/abe677
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