89 / 2016-06-19 09:24:30

Cellular automata model for predict a reservoir capacity and morphology, Es-saada reservoir, North Algeria

10526,10525,6914

In the semi-Arid countries the silting phenomenon in the reservoir, become a great threat with the surface hydrous reserve, which reduce the water storage capacity and the hydraulic potential by 2–5% per year. The forecast and the study of the spatiotemporal evolution of the mud in reservoir present a great Interest for the management and the exploitation of this last. This work aims to model the dynamics of the density current and evolution of the silt body along a reservoir ,when we based on the Cellular automata model .The developed model consist to subdivide the system into similar elementary parts (cells), whose a cell state evolves as a consequence of local interactions and internal transformations within a spatial discrete domain .The used algorithm based on minimization of total energies (potential; kinetic) between the central cell and it neighbors . The transition function includes the effects of water incorporation at the suspension–ambient fluid interface, a transport equation for the volume concentration of mixture , and a deposit rule for the sediments.
Simple and flexible, the obtained model constitutes the first step toward quantitative comprehension of the sediments dynamics and spatiotemporal variation of deposit.
The study is applied on ES-Saada reservoir (Algeria). We divided the reservoir to more than 1500 cells in hexagonal forms. The water discharge Q and suspended sediment concentration C are measured at the gauging stations Wadi Al-abtal and Wadi Hadad . We used three sediments fractions with the average diameters 200, 50 and 20µm. The input data estimate at the gauging station between 1986 to 2000.It necessary to elaborate the SEDIM calculation code for the validity of the Developed model.