Uncertainty Analysis of Routed Outflow in Rockfill Dams | ||
| Journal of Agricultural Science and Technology | ||
| Article 6, Volume 10, Issue 1, 2008, Pages 55-66 PDF (256.51 K) | ||
| Authors | ||
| J. M. V. Samani* ; A. Soleimani; A. Soleimani | ||
| Department of Water Structure Engineering, Tarbiat Modares University, Tehran, Islamic Republic of Iran. | ||
| Abstract | ||
| Detention rockfill dams are an easy and common tool for flood control. Due to their coarse pores, the flow in void spaces is turbulent and non-Darcy. Different relationships introduced by researchers are used to define the hydraulics of the flow within the rockfill materials. The present research is aimed at gaining a better understanding of the differ-ence among these relationships and the sources of uncertainty associated with the differ-ent parameters of each of the relationships. To examine the importance of various factors on the uncertainty of the outflow hydrograph, sensitivity analysis was conducted. For this purpose, a rockfill mass was provided, fifteen random samples of the mass selected, and then the physical characteristics of the material were measured or estimated. Also, some flood routing tests have been conducted. In these tests a physical model of a dam was in-stalled and downstream water level was measured for different outflow rates. While the downstream water level was considered as certain variable but other parameters were seen as stochastic (stochastic parameters are considered as random variables) and outflow discharge as an output uncertain parameter. Uncertainty analysis has been conducted for different points of the outflow hydrograph by employing available methods. The results show that the Samani et al. and McCorocoudale et al. relationships have the lowest and highest uncertainty, respectively. The sensitivity analysis demonstrates different levels of sensitivity accompanied each of the relationship parameters which results in different ef-fects on the total uncertainty of the relationships. | ||
| Keywords | ||
| First-Order Variance Estimation (FOVE) Method | ||
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