2015
DOI: 10.1016/j.jhydrol.2015.04.025
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Effects of antecedent hydrologic conditions, time dependence, and climate cycles on the suspended sediment load of the Salinas River, California

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Cited by 50 publications
(54 citation statements)
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“…14). These results are consistent with longer records from larger rivers in the southern California (Warrick and Milliman, 2003) and other small watersheds in semi-arid regions throughout the world (e.g., Coppus and Imeson, 2002;Rustomji and Wilkinson, 2008;Duvert et al, 2011Duvert et al, , 2012Conaway et al, 2013;Gray et al, 2015), which show that infrequent events produce the majority of water and sediment discharge from these watersheds.…”
Section: Comparison Of Resultssupporting
confidence: 87%
“…14). These results are consistent with longer records from larger rivers in the southern California (Warrick and Milliman, 2003) and other small watersheds in semi-arid regions throughout the world (e.g., Coppus and Imeson, 2002;Rustomji and Wilkinson, 2008;Duvert et al, 2011Duvert et al, , 2012Conaway et al, 2013;Gray et al, 2015), which show that infrequent events produce the majority of water and sediment discharge from these watersheds.…”
Section: Comparison Of Resultssupporting
confidence: 87%
“…Contributing areas behind dams were masked for the time periods of their operation, as the trapping efficiency of these dams was previously estimated as > 90% for fine sediment (Gray et al, 2015b). The areal extent of fires in undammed portions of the watershed was then summed by year for further computations of effective burn area (Fig.…”
Section: Datamentioning
confidence: 99%
“…Notably, no change in the relationship between precipitation and discharge was found over this time period (Gray et al, 2015a). By taking these factors and the temporal dependence of sediment behavior into consideration, the average annual suspended sediment flux was estimated as 2.1 to 2.4 Mt (Gray et al, 2015b).…”
mentioning
confidence: 92%
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“…To achieve the "predicted DSLs", we fitted "log transformed (ln) Q d s" in the rating curve equations to get "predicted ln DSLs" at first and then transformed back thus obtained "predicted ln DSLs" by taking their exponential values. We also checked potential log-biasing in this retransformation procedure using the following correction factor (CF) given by Duan [47] and modified by Gray et al [48] because, firstly, it does not require normality of residuals and, secondly, residuals for a few rating curves in our analyses were not normally distributed (p-values < 0.05 in Shapiro-Wilk tests).…”
Section: Development Of Discharge-sand Load Rating Curvesmentioning
confidence: 99%