Comment on "A praxis-oriented perspective of streamflow inference from stage observations – the method of Dottori et al. (2009) and the alternative of the Jones Formula, with the kinematic wave celerity computed on the looped rating curve" by Koussis (2009)
Abstract:Hydrology and Earth System SciencesThis comment addresses issues of the applicability of the DMT method in the field. DMT also advocate their method as a replacement of the widely used Jones Formula. The Jones Formula was modified by Thomas (Henderson, 1966) to include the temporal derivative of the depth, instead of the spatial one, to specifically allow discharge estimation from at-a-section stage observations. The outcome of the comparison is not surprising in view of this approximation. However, this dis… Show more
“…That aside, with proper parameters, they can treat even pronounced transients on mild slopes, i.e., those generating at a cross-section depth (stage) vs. discharge curves with sizeable loops; the degree of transience can be gauged by the slope ratio SR = -∂y/∂x/S o ≈ ∂y/∂t/c k S o (Koussis and Chang 1982). A conservative limit for storage routing applications is SR ≤ 0.5, but transients with SR ≈ 1 have been handled successfully too (Koussis 2010b)). In such cases the kinematic wave celerity c k = dq/dA| x = const.…”
“…That aside, with proper parameters, they can treat even pronounced transients on mild slopes, i.e., those generating at a cross-section depth (stage) vs. discharge curves with sizeable loops; the degree of transience can be gauged by the slope ratio SR = -∂y/∂x/S o ≈ ∂y/∂t/c k S o (Koussis and Chang 1982). A conservative limit for storage routing applications is SR ≤ 0.5, but transients with SR ≈ 1 have been handled successfully too (Koussis 2010b)). In such cases the kinematic wave celerity c k = dq/dA| x = const.…”
“…Nonetheless, a number of problematic aspects of this approach have been pointed out. Firstly, Koussis (2010) has stressed the fact that flow depth is highly affected by local geometry. Moreover, Aricó et al (2008) have pointed out that lateral inflow may affect the evaluation of the gradient of flow depth, and for this reason the cross sections should be located close enough to each other to allow for the assumption of negligible lateral inflow.…”
Section: Linear Approximation Based On Two Cross Sectionsmentioning
Abstract. This paper presents an evaluation and analysis of resistance parameters: friction slope, friction velocity and Manning coefficient in unsteady flow. The methodology to enhance the evaluation of resistance by relations derived from flow equations is proposed. The main points of the methodology are (1) to choose a resistance relation with regard to a shape of a channel and (2) type of wave, (3) to choose an appropriate method to evaluate slope of water depth, and (4) to assess the uncertainty of result. In addition to a critical analysis of existing methods, new approaches are presented: formulae for resistance parameters for a trapezoidal channel, and a translation method instead of Jones' formula to evaluate the gradient of flow depth. Measurements obtained from artificial dam-break flood waves in a small lowland watercourse have made it possible to apply the method and to analyse to what extent resistance parameters vary in unsteady flow. The study demonstrates that results of friction slope and friction velocity are more sensitive to applying simplified formulae than the Manning coefficient (n). n is adequate as a flood routing parameter but may be misleading when information on trend of resistance with flow rate is crucial. Then friction slope or friction velocity seems to be better choice.
“…Considering the water level gradient to be a known variable, the terms representing the pressure gradient and spatial acceleration in the momentum equation can be resolved ). The application of formulas using simultaneous stage measurements was criticised by Koussis (2010). Dottori and Todini (2010) refuted most of the criticism by Koussis (2010), but acknowledged that in lowland areas with a small bed level gradient, the occurring water level gradient can drop below the measuring accuracy of the level gauge.…”
Section: Introductionmentioning
confidence: 99%
“…The application of formulas using simultaneous stage measurements was criticised by Koussis (2010). Dottori and Todini (2010) refuted most of the criticism by Koussis (2010), but acknowledged that in lowland areas with a small bed level gradient, the occurring water level gradient can drop below the measuring accuracy of the level gauge. Dottori and Todini (2010) estimate the minimum distance between the gauges to be in between 2000 and 5000 m when the bed slope is 1 × 10 −5 .…”
Section: Introductionmentioning
confidence: 99%
“…Dottori and Todini (2010) estimate the minimum distance between the gauges to be in between 2000 and 5000 m when the bed slope is 1 × 10 −5 . Since cross-profiles of the water level are not taken into consideration in one dimensional river hydraulics, neither Koussis (2010) nor Dottori and Todini (2010) considered the drawback that arises from lateral water level gradients, which can be considerable especially in meandering rivers characterised by a high sinuosity. In high-curvature river reaches, level gauges on opposite sides of each of the two cross-section would be needed to infer the longitudinal water surface gradient.…”
Abstract. Variable effects of backwaters complicate the development of rating curves at hydrometric measurement stations. In areas influenced by backwater, single-parameter rating curve techniques are often inapplicable. To overcome this, several authors have advocated the use of an additional downstream level gauge to estimate the longitudinal surface level gradient, but this is cumbersome in a lowland meandering river with considerable transverse surface level gradients. Recent developments allow river flow to be continuously monitored through velocity measurements with an acoustic Doppler current profiler (H-ADCP), deployed horizontally at a river bank. This approach was adopted to obtain continuous discharge estimates at a cross-section in the River Mahakam at a station located about 300 km upstream of the river mouth in the Mahakam delta. The discharge station represents an area influenced by variable backwater effects from lakes, tributaries and floodplain ponds, and by tides. We applied both the standard index velocity method and a recently developed methodology to obtain a continuous time-series of discharge from the H-ADCP data. Measurements with a boat-mounted ADCP were used for calibration and validation of the model to translate H-ADCP velocity to discharge. As a comparison with conventional discharge estimation techniques, a stage-discharge relation using Jones formula was developed. The discharge rate at the station exceeded 3250 m 3 s −1 . Discharge series from a traditional stage-discharge relation did not capture the overall discharge dynamics, as inferred from H-ADCP data. For a specific river stage, the discharge range could be as high as 2000 m 3 s −1 , which is far beyond what could be explained from kinematic wave dynamics. Backwater effects from lakes were shown to be significant, whereas interaction of the river flow with tides may impact discharge variation in Correspondence to: H. Hidayat (hidayat.hidayat@wur.nl) the fortnightly frequency band. Fortnightly tides cannot easily be isolated from river discharge variation, which features similar periodicities.
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