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A review on stochastic differential equations for applications in hydrology

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Abstract

Fundamentals of the theory of stochastic calculus and stochastic differential equations (SDE's) which are finding increasing application in water resources engineering are reviewed. The basics of probability theory, mean square calculus and the Wiener, white Gaussian and compound Poisson processes are given in preparation for a discussion of the general Itô SDE with drift, diffusion and jump discontinuity terms driven by Gaussian white noise and compound Poissionian impulses. Also discussed are stochastic integration and the derivation of moment equations via the Itô differential rule. The lierature of SDE's is reviewed with an emphasis on the more accessible sources.

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References

  • Arnold, L. 1974: Stochastic differential equations.: theory and applications. New York: Wiley

    Google Scholar 

  • Astrom, K.J. 1965: On a first order stochastic differential equation. Intern. J. Control, 1, 301–326

    Google Scholar 

  • Bhattacharya, R.N.; Gupta, V.K.; Sposito, G. 1976; On the stochastic foundations of the theory of water flow through unsaturated soil. Water Resour. Res. 12, 503–512

    Google Scholar 

  • Bhattacharya, R.N.; Gupta V.K.: 1983: A theoretical explanation of solute dispersion in saturated porous media at the Darcy scale. Water Resour. Res. 19, 938–944

    Google Scholar 

  • Bodo, B.A.; Unny, T.E.: 1986: On the outputs of the stochasticized Nash-Dooge reservor cascade. In: A.I. Meleod (ed.) Stochastic hydrology, Reidel, Holland

    Google Scholar 

  • Boel, R.; Varaiya, P.; Wong, E. 1973a: Martingales on jump processes: I. Representation results, Mem. ERL-M407, Electronics Research Laboratory, Univ. Calif., Berkeley

    Google Scholar 

  • Boel, R.; Varaiya, P.; Wong, E. 1973b: Martingales on jump processes: II. Applications. Mem. ERL-M409, Electronics Research Laboratory, Univ. Calif., Berkeley

    Google Scholar 

  • Bogdanoff, J.L.; Kozin, F. 1962: Moments of the output of linear random systems. J. Acoust. Soc. Am. 34, 1063–1066

    Google Scholar 

  • Brémaud, P. 1981: Point processes and queues: martingale dynamics. New York: Springer

    Google Scholar 

  • Cox, D.R.; Isham, V. 1980: Point processes: New York: Chapman and Hall

    Google Scholar 

  • Cumming, I.G. 1967: Derivation of the moments of a continuous stochastic system. Int. J. Control. 5, 85–90

    Google Scholar 

  • Doob, J.L. 1953: Stochastic processes. New York: Wiley

    Google Scholar 

  • Einstein, A. 1956: Investigations on the theory of Brownian movement. New York: Dover

    Google Scholar 

  • Elliot, R.J. 1980: Stochastic calculus and applications. Applications of Mathematics Series, 18, New York: Springer

    Google Scholar 

  • Ephremides, A. (ed.) 1975: Random processes II: Poisson and jump-point processes. Bechmark Papers in Electrical Engineering and Computer Science. 11, Dowden, Hutchinson and Ross, Stroudsburg, Pa.

    Google Scholar 

  • Feller, W. 1940: On the integro-differential equations on purely discontinuous Markoff processes. Trans. Am. Math. Soc. 48, 488–515

    Google Scholar 

  • Feller, W. 1966: A introduction to probability theory and its applications. II, New York: Wiley

    Google Scholar 

  • Finney, B.A.; Bowles, D.S.; Windham, M.P. 1983: Random differential equations in river quality modeling. Water Resour. Res. 18, 122–134

    Google Scholar 

  • Gardiner, C.W. 1983: Handbook of stochastic method for physics, chemistry and the natural sciences. New York: Springer

    Google Scholar 

  • Gihman, I.I.; Skorohod, A.V. 1972: Stochastic differential equations. New York: Springer

    Google Scholar 

  • Gihmann, I.I.; Skorohod, A.V. 1979: The theory of stochastic processes III. New York: Springer

    Google Scholar 

  • Gray, A.H. Jr.; Caughey, T.K. 1965: A controversy in problems involving random parameter excitation. J. Math. and Phys. 44, 288–296

    Google Scholar 

  • Gupta, V.K.; Bhattacharya, R.N. 1983: A new derivation of the Taylor-Aris theory of solute dispersion in a capillary. Water Resour. Res. 19, 945–951

    Google Scholar 

  • Gupta, V.K.; Bhattacharya, R.N.; Sposito, G. 1981: A molecular approach to the foundations of the theory of solute transport in porous media. 1, Conservative solutes in homogeneous isotropic saturated porous media, J. Hydrol. 50, 355–370

    Google Scholar 

  • Hangii, P. 1978: Corrlation functions and master space equations of generalized (non-Markovian) Langevin equations, Z. Physik B. 31, 407–416

    Google Scholar 

  • Hangii, P. 1980: Langevin description of Markovian integro-differential master equations. Z. Physik B. 36, 271–282

    Google Scholar 

  • Ikeda, N.; Watanabe, S. 1981: Stochastic differential equations and diffusion processes. New York: North-Holland

    Google Scholar 

  • Itô, K. 1951: On stochastic differential equations. Mem. Am. Math. Soc. 4, 1–51

    Google Scholar 

  • Itô, K.; McKean, H.P. Jr. 1964: Diffusion processes and their sample paths. New York: Academic Press

    Google Scholar 

  • Jazwinski, A.H. 1970: Stochastic processes and filtering theory. New York: Academic Press

    Google Scholar 

  • Karlin, S.; Taylor, H.M. 1970: A first course in stochastic processes. 2nd ed. New York: Academic Press

    Google Scholar 

  • Karlin, S.; Taylor, H.M.: 1981: A second course in stochastic processes. New York: Academic Press

    Google Scholar 

  • Lavenda, B.H. 1985: Brownian motion. Scientific American 252.

  • Loève, M. 1963: Probability theory. 3rd ed. New Jersey: Van Nostrand

    Google Scholar 

  • Marcus, S.I. 1978: Modeling and analysis of stochastic differential equations driven by point processes. IEEE Trans. Inf. Theory, IT-24, 164–172

    Google Scholar 

  • McKean, H.P. Jr.: 1969: Stochastic calculus. New York Academic Press

    Google Scholar 

  • McShane, E.J. (1974): Stochastic calculus and stochastic models. New York: Academic Press

    Google Scholar 

  • Merton, R.C. 1982: On the mathematics and economics assuptions of continuous-time model. In: Sharpe, W.F. (ed.) Financial economics, Essays in honor of Paul Cootner. 19–51, North-Holland, Amsterdam

    Google Scholar 

  • Métivier, M.: 1982: Semimartingales: a course on stochastic processes. New York: de Gruyter

    Google Scholar 

  • Mortenson, R.E. 1969: Mathematical problems of modeling stochastic nonlinear dynamic systems. J. Stat. Phys. 1, 271–296

    Google Scholar 

  • Moyal, J.E. 1949: Stochastic processes and statistical physics. J. R. Stat. Soc. B, 11, 150–210

    Google Scholar 

  • Moyal, J.E. 1957: Discontinuous Markoff processes. Acta. Math., 98, 221–264

    Google Scholar 

  • Parzen, E. 1962: Stochastic processes. San Francisco: Holden-Day

    Google Scholar 

  • Schuss, Z. 1980: Theory and applications of stochastic differential equations. New York: Wiley

    Google Scholar 

  • Segall, A. 1973: A martingale approach to modeling, estimation and detection of jump processes. Ph.D. thesis, Stanford Univ.

  • Skorohod, A.V. 1982: Studies in the theory of random processes. New York: Dover

    Google Scholar 

  • Snyder, D.L.: 1975: Random point processes. New York: Wiley

    Google Scholar 

  • Soong, T.T. 1973: Random differential equations in science and engineering. New York: Academic Press

    Google Scholar 

  • Srinivasan, S.K. 1978: Stochastic integrals. Solid Mech. Arch. 3, 325–379

    Google Scholar 

  • Srinivasan, S.K.; Udayabhaskaran, S. 1982: Modeling and analysis of dynamical systems subject to discontinuous noise processes. J. Math. Phys. Sci. 16, 415–430

    Google Scholar 

  • Stratonovich, R.L. 1966: A new representation for stochastic integrals and equations. SIAM J. Control 4, 362–371

    Google Scholar 

  • Syski, R. 1981: Stochastic differential equations, Chapter 8 in Modern nonlinear equations. by Saaty, T.L., New York: Dover

    Google Scholar 

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

    Google Scholar 

  • Unny, T.E.; Karmeshu 1983: Stochastic nature of outputs from conceptual reservoir model cascades. J. Hydrol. 68, 161–180

    Google Scholar 

  • Wax, N. (ed.) 1954: Selecte papers on noise and stochastic processes. New York: Dover

    Google Scholar 

  • Weiss, G. 1973: Filtered poisson processes as models for daily streamflow data. Ph.D. thesis, Imperial College, London

    Google Scholar 

  • Wong, E. 1971: Stochastic processes in information and dynamical systems. New York: McGraw-hill

    Google Scholar 

  • Wong, E.; Zakai, M. 1965a: On the relationship between ordinary and stochastic differential equations. Int. J. Eng. Sci. 3, 213–229

    Google Scholar 

  • Wong, E.; Zakai, M. 1965b: On the convergence of ordinary integrals to stochastic integrals. Ann. Math. Stat. 36, 1560–1564

    Google Scholar 

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Bodo, B.A., Thompson, M.E. & Unny, T.E. A review on stochastic differential equations for applications in hydrology. Stochastic Hydrol Hydraul 1, 81–100 (1987). https://doi.org/10.1007/BF01543805

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