Abstract
Sediment deposition and its accumulation in a large resorvoir depends on the inflow and reservoir storage content, respectively. Because of this fact it is possible to model the cumulative deposition of sediment as an additive process defined on a bivariate Markov chain. Using the bivariate Markov chain model the mean and variance of the cumulative deposition of John Martin Reservoir, Colorado, U.S.A. are estimated and compared with observed sedimentation data.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Annandale, G.W. 1987: Reservoir sedimentation. Elsevier, Amsterdam
Anonymous 1966: Sedimentation in John Martin Reservoir. Arkansas River Basin, U.S. Army Corps. Eng., Albuquerque Dist., Albuquerque, New Mexico
Moran, P.A.P. 1954: A probability theory of dams and storage systems. Aust. J. Appl. Sci. 5, 116–124
Soares, E.F.; Unny, T.E.; Lennox, W.C. 1982a: Conjunctive use of deterministic and stochastic models for predicting sediment storage in large reservoirs. 1. A stochastic sediment storage model. J. Hydrol. 59, 49–82
Soares, E.F.; Unny, T.E.; Lennox, W.C. 1982b: Conjunctive use of deterministic and stochastic models for predicting sediment storage in large reservoirs, 2. Deterministic model for the sedimentation process. J. Hydrol. 59, 83–105
Soares, E.F.; Unny, T.E.; Lennox, W.C. 1982c: Conjunctive use of deterministic and stochastic models for predicting sediment storage in large reservoirs, 3. Application of the two models in conjunction. J. Hydrol. 59, 107–121
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Phatarfod, R.M., Unny, T.E. & Ponnambalam, K. Predicting cumulative sediment depostition in large reservoirs. Stochastic Hydrol Hydraul 4, 241–251 (1990). https://doi.org/10.1007/BF01543087
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF01543087