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A diffusion approximation for a network of reservoirs with power law release rule

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Abstract

A diffusion approximation for a network of continuous time reservoirs with power law release rules is examined. Under a mild assumption on the inflow processes, we show that for physically reasonable values of the power law constants, the system of processes converges to a multi-dimensional Gaussian diffusion process. We also illustrate how the limiting Gaussian process may be used to compute approximations to the original system of reservoirs. In addition, we study the quality of our approximations by comparing them to results obtained by simulations of the original watershed model. The simulations offer support for the use of the approximation developed here.

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References

  • Anderson, T.W. 1971: The Statistical Analysis of Time Series, John Wiley and Sons, Inc.

  • Arnold, L. 1974: Stochastic Differential Equations: Theory and Applications, John Wiley and Sons, Inc.

  • Bratley, P., Fox, B.L., Schrage, L. 1987: A Guide to Simulation, Springer, New York

    Google Scholar 

  • Brillinger, D. 1981: Time Series: Data Analysis and Theory, Gregg-McGraw

  • Ethier, S.N.; Kurtz, T.G. 1986: Markov Processes: Characterization and Convergence, John Wiley and Sons, Inc.

  • Glynn, J.E. 1989: A discrete time storage system with a general release rule, J. Appl. Prob. 26, 566–583

    Google Scholar 

  • Harrison, J.M.; Resnick, S.I. 1976: The stationary distribution and first exit probabilities of a storage process with a general release rule, Mathematics of Operations Research 3, 347–358

    Google Scholar 

  • Harrison, J.M.; Taylor, A.J. 1978: Optimal control of a Brownian storage system, Stochastic Processes and their Applications 6, 179–194

    Google Scholar 

  • Hardson, J.M.; Shepp, L.A. 1984: A tandem storage system and its diffusion limit, Stochastic Processes and their Applications 16, 257–274

    Google Scholar 

  • Hughes, D.A.; Murrell, H.C. 1986: Nonlinear runoff routing — A comparison of solution methods. J. Hydrol. 85, 339–347

    Google Scholar 

  • Karlin, S.; Taylor, H.C. 1975: A First Course in Stochastic Processes, Academic Press, Inc., New York

    Google Scholar 

  • Kadin, S.; Taylor, H.C. 1981: A Second Course in Stochastic Processes, Academic Press, Inc., New York

    Google Scholar 

  • Klemel, V. 1978: Physically based stochastic hydrologic analysis, Advances in Hydroscience 11

  • Klemeš, V.; Boruvka, L. 1975: Output from a cascade of discrete time linear reservoirs with stochastic control, J. Hydrol. 27, 1–13

    Google Scholar 

  • Klemeš, V.; Klemeš, I.; Glynn, J.E. 1985: Discrete time linear cascade under time averaging, J. Hydrol. 77, 107–123

    Google Scholar 

  • Laurenson, E.M. 1964: A catchment model for runoff routing, Journal of Hydrology 2, 141–163

    Google Scholar 

  • Law, A.M.; Kelton, D. Simulation Modelling and Analysis, McGraw

  • Mein, R.G.; Laurensen, E.M.; McMahon, T.A. 1974: Simple nonlinear model for flood estimation, Journal of the Hydraulics Division 100, HY11, 1507–1518

    Google Scholar 

  • Moran, P.A.P. 1967: Dams in series with continuous release, J. Appl. Prob. 4, 380–388

    Google Scholar 

  • Nash, J. E., The form of the instantaneous unit hydrograph, International Association of Scientific Hydrology, Publication No. 45 Vol. 3, 14–121, 1957

  • Nash, J.E. 1959: A note on the Muskingum flood-routing method, J. Geophys. Res. 64(8), 1053–1056

    Google Scholar 

  • Papoulis, A. 1965: Probability, Random Variables, and Stochastic Processes. McGraw-Hill

  • Pliska, S. R. 1975: A diffusion process model for the optimal operation of a reservoir system, J. Appl. Prob. 12, 859–863

    Google Scholar 

  • Puente, C.E.; Bierkens, M.F.P.; Diaz-Granados, M.A.; Dik, P.E.; López, M.M. 1993: Practical use of analytically derived runoff models based on rainfall point processes, Water Resour. Res. 29(10), 3551–3560

    Google Scholar 

  • Rodriguez-Iturbe, I.; Cox, D.R.; Isham V. 1987: Some models for rainfall based on stochastic point processes, Proceedings of the Royal Society of London, Series A 410, 269–288

    Google Scholar 

  • Smith, N.M.H.; Yeo, G.F. 1981: On a general storage problem and its approximating solution, Advances in Applied Probability 13, 567–602

    Google Scholar 

  • Unny, T.E. 1984: Numerical integration of stochastic differential equations in catchment modelling, Water Resour. Res. 20(3), 360–368

    Google Scholar 

  • Unny, T.E.; Karmeshu 1984: Stochastic nature of outputs from conceptual reservoir model cascades, J. Hydrol. 68, 161–180

    Google Scholar 

  • Yamada, K. 1983: Diffusion approximations for storage processes, Operations Res. Lett. 2(1), 22–26

    Google Scholar 

  • Yamada, K. 1984: Diffusion approximations of storage processes with general release rules, Mathematics of Operations Res. 9, 459–470

    Google Scholar 

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Glynn, J.E., Glynn, P.W. A diffusion approximation for a network of reservoirs with power law release rule. Stochastic Hydrol Hydraul 10, 17–37 (1996). https://doi.org/10.1007/BF01581792

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