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首页> 外文会议>International Conference on Water and Environment(WE-2003); 20031215-18; Bhopal(IN) >Flood Routing Analysis Due To Dam Break: A Case Study On Single Dam
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Flood Routing Analysis Due To Dam Break: A Case Study On Single Dam

机译：大坝溃决导致的洪水演进分析-以单个大坝为例

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The flood routing analysis due to dam break is aim to gain empirical equation that describes inundation depth of flood peak and flood travel time through the river to downstream due to dam break or dam failure. The flood routing analysis due to dam break in this study applies with Boss Dambrk Program to make outflow hydrograph through dam and hydraulic flood routing along downstream of dam. The output of running program is develop in order to gain empirical equation which shows the relation between flood wave arrival time variable (T_b) and flood peak arrival time variable (T_p), as well as flood peak depth variable (H_p) toward distance variable to downstream of dam. The formation of empirical equation is base on degree regression model, whereas the determination of the equation was base on the correlation coefficient value (R) and standard error of estimation value (SEY). This empirical equation was test by calculating confident interval t distribution [Y ± t ∝ (SEY)], and it was test on the output running of Boss Dambrk Program at other dam. Based on this analysis, was obtained an alternative approach which can easily and properly determine T_b, T_p and H_p along the river at the downstream. This approach is very useful to determining early warning system concept. From this research, as obtained an accurate empirical equations of degree regression model which is specific on every single dam which failure because of piping, and the equations can be used for forming early warning system concept. For T_b, equation, R-value is 94.804% to 99.819% with SEY between 1.694 hours to 1.108 hours. For T_p equation, R-value is 87.146% to 99.252% with SEY between 2.014 hours to 1.072 hours. While for H_p equation that has R-value is 72.610% to 92.688% with SEY between 1.203 meters to 1.058 meters.
机译：溃坝导致的洪水路径分析旨在获得经验公式，该公式描述洪水高峰的淹没深度以及由于溃坝或溃坝而导致的洪水通过河流到达下游的时间。本研究中由于溃坝而引起的洪水路线分析与Boss Dambrk程序一起应用，以通过坝体和沿坝下游的水力洪水路线制作出流水位图。开发运行程序的输出是为了获得经验公式，该公式显示洪水波到达时间变量（T_b）和洪水波峰到达时间变量（T_p）之间以及洪水波峰深度变量（H_p）到距离变量之间的关系。大坝的下游。经验方程的形成基于度数回归模型，而方程的确定则基于相关系数值（R）和估计值的标准误差（SEY）。通过计算置信区间t分布[Y±t ∝（SEY）]来测试该经验方程，并在其他大坝上的Boss Dambrk程序的输出运行中进行测试。基于此分析，获得了一种替代方法，可以轻松，适当地确定沿下游河流的T_b，T_p和H_p。该方法对于确定预警系统概念非常有用。从这项研究中，获得了精确的度数回归模型的经验方程，该方程专门针对因管道故障而发生故障的每个大坝，这些方程可用于形成预警系统的概念。对于T_b，方程式的R值为94.804％至99.819％，SEY在1.694小时至1.108小时之间。对于T_p方程，R值为87.146％至99.252％，SEY在2.014小时至1.072小时之间。对于H_p方程，R值为72.610％至92.688％，SEY在1.203米至1.058米之间。

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