2017, Vol. 2, Issue 6, Part C
Stochastic models for reservoir inflow simulation
Author(s): Ajitha TK and Anil Kumar P
Abstract: Forecasting of inflow to a new reservoir and modelling of the historical behaviour of an existing reservoir can be accomplished through simulation models. First order stationary Markov model assuming stationary mean, standard deviation and lag1 correlation for the historical and generated data would result in a perfect simulation for annual stream flows and reservoir inflows. Seasonal models can be introduced in which the seasons can be either months, or any intra year period variation and here the inherent periodicity would introduce non stationarity in the data. First order Markov model addressing the non stationarity is a better alternative recommended in this situation. Simulations for Karappara (10
0 27’ 25â€N 76
0 38’ 51†E) Stream flow and Idamalayar (10
0 13’ 18†N 76
0 42’ 21†E) Reservoir Inflow belonging to Kerala state have been realised with respect to both stationary and non-stationary data.
Pages: 197-203 | Views: 1357 | Downloads: 20Download Full Article: Click Here
How to cite this article:
Ajitha TK, Anil Kumar P. Stochastic models for reservoir inflow simulation. Int J Stat Appl Math 2017;2(6):197-203.
