TY  - JOUR
T1  - The Evaluation of Three Methods of Uncertainty (MCS, LHS and Harr) in Dam Reservoir Sedimentation
AU - , Jamal M.V. Samani AU - , Mahsa Vaez Tehrani AU - , Majid Montaseri 
JO  - Journal of Engineering and Applied Sciences
VL  - 2
IS  - 6
SP  - 1074
EP  - 1084
PY  - 2007
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2007.1074.1084
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2007.1074.1084
KW  - Sedimentation volume
KW  -USBR
KW  -FAO
KW  -uncertainty analysis
KW  -mont carlo
KW  -LHS
KW  -Harr
AB  - Estimation of dam reservoir sedimentation volume is necessary for design and hydraulic structures management purposes. Different empirical and mathematical methods are employed in this regard. Due to different factors affecting sedimentation process and their randomness, uncertainties arise that causes failure and may force designers to consider necessary safety factors in their designs. Therefore, uncertainty analysis may introduces a better understanding of the effect of different input parameters and their contributions to the whole output error. In this study, the sediment discharge rate was estimated by employing different methods such as USBR and FAO justified coefficient. In these methods data collected from Nazloo River (in Tapik Station) were used. To calculate the trap efficiency Brune method and for specific weight Miller methods were used. The results of FAO justified coefficient method compared to other corresponding methods show better agreement with the measured ones. In this research, Mont Carlo Simulation (MCS), Latin Hypercube Sampling (LHS) and Harr`s methods were investigated. The results show that the sediment discharge rate and the flow rate introduce the highest contribution to the whole uncertainty of sedimentation volume. Also, Harr`s method show less uncertainty value compared to the Mont Carlo one.
ER  -