Sensitivity of outflow peaks and flood stages to the selection of dam breach parameters and simulation models

Singh, Krishan P.; Snorrason, Árni

doi:10.1016/0022-1694(84)90217-8

Cited by 107 publications

(52 citation statements)

References 2 publications

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“…Figure 9 shows the best-fit equation between the peak outflow and the volume of water behind the dam obtained by Pierce et al [27], the expressions of Evans [56] and Singh and Snorrason [57], and the results for Chipembe dam. The last corresponds to the peak flow predicted by the model Iber for n = 0.04 m −1/3 ·s (2674 m 3 /s in section S1), although very similar values were obtained for the tested range of Manning coefficients, as can be seen in Table 1.…”

Section: Comparison With Real Dam Failure Datamentioning

confidence: 99%

“…This represents around a 10% difference in peak flow with model predictions. The expressions of Singh and Snorrason [57] and Evans [56], which were developed with (Tables 1 and 2). Therefore, in this upper part of the reach, the flood wave travel times show little dependence on the roughness coefficient.…”

Section: Comparison With Real Dam Failure Datamentioning

confidence: 99%

“…The expressions of Singh and Snorrason [57] and Evans [56], which were developed with a more limited case-study data, are more conservative. Using these expressions, a peak flow of 5307 and 5975 m 3 /s is obtained, respectively.…”

Section: Comparison With Real Dam Failure Datamentioning

confidence: 99%

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Two-Dimensional Dam-Break Flood Analysis in Data-Scarce Regions: The Case Study of Chipembe Dam, Mozambique

Álvarez

Puertas

Peña

et al. 2017

Water

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This paper presents the results of a modeling study of the hypothetical dam break of Chipembe dam in Mozambique. The modeling approach is based on the software Iber, a freely available dam break and two-dimensional finite volume shallow water model. The shuttle radar topography mission (SRTM) online digital elevation model (DEM) is used as main source of topographic data. Two different DEMs are considered as input for the hydraulic model: a DEM based on the original SRTM data and a hydrologically-conditioned DEM. A sensitivity analysis on the Manning roughness coefficient is performed. The results demonstrate the relevant impact of the DEM used on the predicted flood wave propagation, and a lower influence of the roughness value. The low cost modeling approach proposed in this paper can be an attractive option for modeling exceptional flood caused by dam break, when limited data and resources are available, as in the presented case. The resulting flood-inundation and hazard maps will enable the Regional Water Management Administration of Mozambique (ARA) to develop early warning systems.

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Section: Comparison With Real Dam Failure Datamentioning

confidence: 99%

Section: Comparison With Real Dam Failure Datamentioning

confidence: 99%

See 1 more Smart Citation

Two-Dimensional Dam-Break Flood Analysis in Data-Scarce Regions: The Case Study of Chipembe Dam, Mozambique

Álvarez

Puertas

Peña

et al. 2017

Water

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“…They recommended a range for the breach width as a linear function of the dam height (h d ). Similarly, Singh and Snorrason (1984) plotted the breach widths versus dam heights for 20 case studies and stated a range for the breach width as a linear function of h d . MacDonald and Langridge-Monopolis (1984) used 42 case studies and suggested that the breach shape could be trapezoidal or triangular depending on whether the breach has reached the bottom of the dam or not.…”

Section: Review Of Available Approachesmentioning

confidence: 99%

“…In order to carry out an embankment failure analysis, the average breach width in the dam is one of the key parameters that should be accurately estimated because it influences the severity of failure and affects the magnitude of the peak discharge. Singh and Snorrason (1984) used DAMBRK and HEC-1 models on 8 hypothetical breached dams and assessed that changes in breach width were more significant for large dams because it produced larger changes (35-87 %) in peak outflow than for smaller reservoirs (6-50 %). The breach shape of an embankment dam is assumed to vary from triangular to trapezoidal as the breach progresses (Wahl 1998).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy algorithm for estimating average breach widths of embankment dams

Elmazoghi

2013

Nat Hazards

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Dam breach width significantly influences peak breach outflow, inundation levels, and flood arrival time, but uncertainties inherent in the prediction of its value for embankment dams make its accurate estimation a challenging task in dam risk assessments. The key focus of this paper is to provide a fuzzy logic (FL) model for estimating the average breach width of embankment dams as an alternative to regression equations (RE). The FL approach is capable of handling nonlinear behavior, imprecision in discrete measurements, and parameter uncertainty. Historical data from 69 embankment dam failures are used in the development and testing of the FL model. Application of the FL model is also presented for estimating average breach widths of two case studies that have adequately documented data. The accuracy of the FL rule-based model is investigated using uncertainty analysis: the mean prediction error between the FL estimates and the observed average breach widths is very small (=0.03) and comparable to that achieved using the best available RE. Moreover, the FL uncertainty band is found to be approximately ±0.51 order of magnitude smaller than the ±0.56 order of magnitude achieved with the best available RE. The simulation results indicate the potential of the FL model to be used as a predictive tool for estimating the average breach width of embankment dams.

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2016

Dam Failure Mechanisms and Risk Assessment

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Sensitivity of outflow peaks and flood stages to the selection of dam breach parameters and simulation models

Cited by 107 publications

References 2 publications

Two-Dimensional Dam-Break Flood Analysis in Data-Scarce Regions: The Case Study of Chipembe Dam, Mozambique

Two-Dimensional Dam-Break Flood Analysis in Data-Scarce Regions: The Case Study of Chipembe Dam, Mozambique

Fuzzy algorithm for estimating average breach widths of embankment dams

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