2014
DOI: 10.1111/jiec.12143
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Systematic Evaluation of Uncertainty in Material Flow Analysis

Abstract: SummaryMaterial flow analysis (MFA) is a tool to investigate material flows and stocks in defined systems as a basis for resource management or environmental pollution control. Because of the diverse nature of sources and the varying quality and availability of data, MFA results are inherently uncertain. Uncertainty analyses have received increasing attention in recent MFA studies, but systematic approaches for selection of appropriate uncertainty tools are missing. This article reviews existing literature rel… Show more

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Cited by 144 publications
(123 citation statements)
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“…In aggregating the data, we assumed that all parameters were normally distributed and independent of variables [76]. We also applied Gauss's law of error propagation (FAU physics, n.d.) [77].…”
Section: Out3 Leaching Out4amentioning
confidence: 99%
“…In aggregating the data, we assumed that all parameters were normally distributed and independent of variables [76]. We also applied Gauss's law of error propagation (FAU physics, n.d.) [77].…”
Section: Out3 Leaching Out4amentioning
confidence: 99%
“…Few authors have provided sensitivity analyses [30,85,108] , multi-method approaches [95] or Monte-Carlo simulations [26,86]. Clearly, uncertainty is a topic of growing importance for MFA research and applications of the socioeconomic metabolism concept in general [31,32,50,51,109].…”
Section: Recent Progress In Quantifying Socioeconomic Materials Stocksmentioning
confidence: 99%
“…They typically allow characterizing stocks in terms of the resource requirements involved in building, renewing and using them, as well as the related emissions [29,31,91]. Quantification of uncertainty remains underdeveloped in EW-MEFA [42,50,51], and even more so in regard to material stocks. Few authors have provided sensitivity analyses [30,85,108], multi-method approaches [95] or Monte-Carlo simulations [26,86].…”
Section: Recent Progress In Quantifying Socioeconomic Materials Stocksmentioning
confidence: 99%
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“…We then convert the inflows, outflows, and stocks from vehicle units to the masses of materials contained in them. Uncertainties and sensitivity analyses are examined using Monte Carlo simulations, as in similar dynamic flow-stock models [38,40,41].…”
Section: Introductionmentioning
confidence: 99%