2006
DOI: 10.1016/j.geomorph.2005.08.012
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Comparative assessment of three approaches for deriving stream power plots along long profiles in the upper Hunter River catchment, New South Wales, Australia

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Cited by 89 publications
(107 citation statements)
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“…In our study area, there are no gauging discharge data to perform a regression analysis and, consequently, we have to use empirical values to estimate parameters a and b of Equation (3). Previously published values of these coefficients are around 0·7 for b and around 1 for a (Jain et al, 2006;Finlayson and Montgomery, 2003;Dunne and Leopold, 1978). The plot of K versus Ω T shows a good correlation using the a and b values mentioned above (Figure 4(a)).…”
Section: K-ω T Relationship For the Study Areamentioning
confidence: 81%
See 1 more Smart Citation
“…In our study area, there are no gauging discharge data to perform a regression analysis and, consequently, we have to use empirical values to estimate parameters a and b of Equation (3). Previously published values of these coefficients are around 0·7 for b and around 1 for a (Jain et al, 2006;Finlayson and Montgomery, 2003;Dunne and Leopold, 1978). The plot of K versus Ω T shows a good correlation using the a and b values mentioned above (Figure 4(a)).…”
Section: K-ω T Relationship For the Study Areamentioning
confidence: 81%
“…where a and b are positive constants (Finlayson and Montgomery, 2003;Jain et al, 2006). Hack (1957) showed that A and L are related by means of an empirically calibrated power relation, namely Hack's law:…”
Section: Methodsmentioning
confidence: 99%
“…Channel slope (s) was calculated from the SRTM over a distance of 1 km (500 m upstream and downstream) as used by Jain et al (2006) in their stream power calculations for the Hunter River in southeast Australia. Channel width (w) was calculated as the average width of the currently active channel within each 1-km segment (Table 2).…”
Section: Catchment Variables and Relationships To Tpimentioning
confidence: 99%
“…While other smoother functions, such as moving averages, can also be used, the problem with removing spikes in longitudinal profiles using moving averages is one of information preservation. If the span (or averaging window) is too small, spikes remain, but if the window is too large important geomorphic data are averaged out alongside the spikes -ultimately changing the shape of the longitudinal profile from its fundamental form (Reinfelds et al 2004;Jain et al 2006;. Local regression, with and without weights and robustness (lowess, leoss, rlowess and rloess) can also be utilized.…”
Section: Methodsmentioning
confidence: 99%
“…Variants of the stream power model have become increasingly common for large scale erosion modelling because they can be readily applied over large areas without the need for detailed knowledge of stream conditions (Finlayson and Montgomery 2003;Jain et al 2006;. The stream power law of erosion is expressed as:…”
Section: Introductionmentioning
confidence: 99%