2008
DOI: 10.1016/j.jhydrol.2008.04.005
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Determinant factors of sediment graphs and rating loops in a reforested watershed

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Cited by 61 publications
(49 citation statements)
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“…According to equations and rating curves in Table 2, it is also found that, in most cases, other types of models than the power function gave a better performance. This opposes the findings of Walling (1977a,b), Gergov (1996), Cordova & Gonzalez (1997), Phillips et al (1999, Asselman (2000), Kao et al (2005) and Sadeghi et al (2008a), who believed power models to be the most common function that relates SSC to water discharge. However, it agrees with Asselman (2000), Horowitz et al (2001), Horowitz (2003), Sadeghi et al (2006), and Schmidt & Morche (2006), who found that the other types of regression models (e.g.…”
Section: Fitting the Ssc-q Relationshipcontrasting
confidence: 87%
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“…According to equations and rating curves in Table 2, it is also found that, in most cases, other types of models than the power function gave a better performance. This opposes the findings of Walling (1977a,b), Gergov (1996), Cordova & Gonzalez (1997), Phillips et al (1999, Asselman (2000), Kao et al (2005) and Sadeghi et al (2008a), who believed power models to be the most common function that relates SSC to water discharge. However, it agrees with Asselman (2000), Horowitz et al (2001), Horowitz (2003), Sadeghi et al (2006), and Schmidt & Morche (2006), who found that the other types of regression models (e.g.…”
Section: Fitting the Ssc-q Relationshipcontrasting
confidence: 87%
“…Similar findings have also been reported for other locations by Walling (1988), Church & Slaymaker (1989), Lane et al (1997), Terajima et al (1996), Sichingabula (1998), Asselman (2000), Horowitz (2003), Sadeghi et al (2008a) and Wilkinson et al (2009). The poor correlation between SSC and Q data can be attributed to: variation in the temporal rainfall intensity distribution; suspended sediment supply from internal sources (i.e.…”
Section: Fitting the Ssc-q Relationshipsupporting
confidence: 84%
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“…Flood events of low and medium intensity can also generate high SSCs. This happens depending on the variability in sediment availability within the watershed, rainfall intensity and spatial distribution, discharge, types and distances traveled by water in the main channel, which determine the response of suspended sediment (Williams, 1989;NadalRomero et al, 2008;Sadeghi et al, 2008;Rodrı´guez-Blanco et al, 2010).…”
Section: Ssc Simulation and Yieldmentioning
confidence: 99%