Back to Search
Start Over
Modeling the Time Variation of Reservoir Trap Efficiency.
- Source :
- Journal of Hydrologic Engineering; Dec2010, Vol. 15 Issue 12, p1001-1015, 15p, 1 Diagram, 13 Charts, 4 Graphs, 1 Map
- Publication Year :
- 2010
-
Abstract
- All reservoirs are subjected to sediment inflow and deposition to a certain extent resulting in reduction of their capacity. Trap efficiency (T<subscript>e</subscript>), a most important parameter for reservoir sedimentation studies, is being estimated using conventional empirical methods till today. A limited research has been carried out on estimating the variation of T<subscript>e</subscript> with time. In the present study, an attempt has been made to incorporate the age of the reservoir to estimate the T<subscript>e</subscript>. This study investigates the suitability of conventional empirical approaches along with soft computing data-driven techniques to estimate the reservoir T<subscript>e</subscript>. The incorporation of reservoir age, in empirical model, has resulted in a better T<subscript>e</subscript> estimation. Further, to estimate T<subscript>e</subscript> at different time steps, soft computing approaches such as artificial neural networks (ANNs) and genetic programming (GP) have been attempted. Based on correlation analysis, it was found that ANN model (4-4-1) resulted better than conventional empirical methods but inferior to GP. The results show that the GP model is parsimonious and understandable and is well suited to estimate T<subscript>e</subscript> of a large reservoir. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10840699
- Volume :
- 15
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- Journal of Hydrologic Engineering
- Publication Type :
- Academic Journal
- Accession number :
- 55200827
- Full Text :
- https://doi.org/10.1061/(ASCE)HE.1943-5584.0000273