2017
DOI: 10.3133/ofr20171062
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Determining the sources of fine-grained sediment using the Sediment Source Assessment Tool (Sed_SAT)

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Cited by 18 publications
(18 citation statements)
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References 14 publications
(25 reference statements)
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“…An error analysis through a Monte‐Carlo simulation is then used to examine sensitivity of the results. More information on the statistical procedures can be found in Gorman Sanisaca et al ().…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…An error analysis through a Monte‐Carlo simulation is then used to examine sensitivity of the results. More information on the statistical procedures can be found in Gorman Sanisaca et al ().…”
Section: Methodsmentioning
confidence: 99%
“…Bracket test bounds for conservativeness were set to ±10%. See text for justification of the program selection, and Gorman Sanisaca, Gellis, and Lorenz () for full details about the Sed_SAT steps and parameters. Dashes (“–“) indicate tracer exclusion at a previous step in the analysis.…”
mentioning
confidence: 99%
“…Sed_SAT is written in the statistical language R (R Core Team ) using a Microsoft Access ® interface that assists the user to step through all statistical steps to apportion sediment (Gorman Sanisaca et al. ). Each target sample was run through Sed_SAT individually, using the default settings, to determine the sediment contribution from each land use per event.…”
Section: Methodsmentioning
confidence: 99%
“…In Sed_SAT, the ability of the final set of tracers selected to apportion sediment is evaluated by: (1) the confusion matrix, (2) the source verification test (SVT), and (3) a Monte Carlo analysis (Gorman Sanisaca et al. ). The confusion matrix is produced in stepwise DFA and describes the percent of source samples correctly predicted for each group vs. the actual number of source samples in each group (Kohavi and Provost ).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation