2016
DOI: 10.1061/(asce)he.1943-5584.0001424
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Predicting Peak Discharge from Gradually Breached Embankment Dam

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Cited by 56 publications
(19 citation statements)
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“…At the breach, simulated peak discharge (1.73 × 10 5 m 3 /s) exceeds by 32% the discharge (1.25 × 10 5 m 3 /s) estimated using the benchmark predictive equations for natural, constructed, and scale‐model dam failures of O'Connor and Beebee () and Walder and O'Connor (; Figure a). More information about the geometry of the Yigong landslide dam would be needed to apply breaching models using sophisticated predictive equations that involve dam dimensions (e.g., Froehlich, ). The time to peak discharge, t p , can be estimated based on the timescale of natural landslide dam failures, which varies over several orders of magnitude depending on the erodability of landslide material and failure mechanism (e.g., Garcia‐Castellanos & O'Connor, ; O'Connor & Beebee, ; Walder & O'Connor, ).…”
Section: Evaluation Of Flood Simulation Resultsmentioning
confidence: 99%
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“…At the breach, simulated peak discharge (1.73 × 10 5 m 3 /s) exceeds by 32% the discharge (1.25 × 10 5 m 3 /s) estimated using the benchmark predictive equations for natural, constructed, and scale‐model dam failures of O'Connor and Beebee () and Walder and O'Connor (; Figure a). More information about the geometry of the Yigong landslide dam would be needed to apply breaching models using sophisticated predictive equations that involve dam dimensions (e.g., Froehlich, ). The time to peak discharge, t p , can be estimated based on the timescale of natural landslide dam failures, which varies over several orders of magnitude depending on the erodability of landslide material and failure mechanism (e.g., Garcia‐Castellanos & O'Connor, ; O'Connor & Beebee, ; Walder & O'Connor, ).…”
Section: Evaluation Of Flood Simulation Resultsmentioning
confidence: 99%
“…The assumption of instantaneous dam failure, such as we have made here, may be appropriate for examining flood hazard and hydraulics downstream because it represents a worse‐case scenario of breaching and provides maximum estimates for peak discharge and flow depth downstream. However, this treatment of the dam failure could be improved with more sophisticated empirical dam breaching models (e.g., Froehlich, ; Westoby et al, ), particularly if parameters related to the geometry and composition of the dam are known. The precise timescale of the Yigong dam failure is unclear (Delaney & Evans, ; Shang et al, ; Zhu et al, ) and likely <1 hr, but future simulations could investigate the effects of different breaching rates and dam parameters on downstream flow conditions.…”
Section: Insights Into Outburst Flood Hazard and Geomorphic Processesmentioning
confidence: 99%
“…More large scale physical tests should be carried out to progressively improve both simple and more complex models in the future, reducing their uncertainty and improving their effectiveness at predicting embankment breaches. = Variable coefficient dependant on failure mode (Froehlich, 1995a(Froehlich, , 2008(Froehlich, , 2016a = Embankment height factor (Froehlich, 2016b) = Peak outflow from breach (…”
Section: Discussionmentioning
confidence: 99%
“…Currently, regression relations obtained from each type of dams are still frequently used method for calculating and forecasting the peak discharge (Q). The regression methods can give no better than order-of-magnitude estimation of probable peak discharge and allow for a tradeoff between the prediction accuracy and the difficulty of complex parameter acquisition, even they do not reflect the effect of breach-formation rate on the peak discharge (Walder and O'Connor, 1997;Cenderelli, 2000;O'Connor et al, 2013;Froehlich, 2016). The Q is estimated based on the dam factor (Vh) (drained volume (V) times depth of breach (h)), which represents potential energy of the dammed lake, and usually produce the low average stand error (Costa, 1985;Costa and Schuster, 1988).…”
Section: Methodsmentioning
confidence: 99%