Probabilistic prediction of reservoir storage considering the uncertainty of dam inflow
Kwon, Minsung1 Park, Dong-Hyeok2 Jun, Kyung Soo1 Kim, Tae-Woong3,*
1Graduate School of Water Resources, Sungkyunkwan Univ. 2Dept. of Civil and Environmental Engineering, Hanyang Univ. 3Dept. of Civil and Environmental Engineering, Hanyang Univ.
The well-timed water management is required to reduce drought damages. It is also necessary to induce residents in drought-affected areas to save water. Information on future storage is important in managing water resources based on the current and future states of drought. This study employed a kernel function to develop a probabilistic model for predicting dam storage considering inflow uncertainty. This study also investigated the application of the proposed probabilistic model during the extreme drought. This model can predict a probability of temporal variation of storage. Moreover, the model can be used to make a long-term plan since it can identify a temporal change of storage and estimate a required reserving volume of water to achieve the target storage.
4. Lee, D.-R., Moon, J.-W., Lee, D.-H., and Ahn, J. H. (2006). “Development of water supply capacity index to monitor droughts in a reservoir.” Journal of Korea Water Resources Association, Vol. 39, No. 3, pp. 199-214.
7. Park, M.J., Shin, H.J., Choi, Y.D., Park, J.Y., and Kim, S.J. (2011) “Development of a hydrological drought index considering water availability.” Journal of the Korean Society of Agricultural Engineers, Vol. 53, No. 6, pp. 165-170.
9. Sheffield, J., Wood, E.F., and Roderick, M.L. (2012) “Little change in global drought over the past 60 years.” Nature, Vol. 491, No. 7424, pp. 435-438.