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Hydrological Models for Environmental Management pp 139–145Cite as

Stochastic Models of the Long-Term River Runoff Fluctuations with Application in Water Construction and Management

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Part of the book series: NATO Science Series ((ASEN2,volume 79))

Abstract

The approach of using experimental statistical methods (Monte Carlo methods) is of great value in solving applied hydrological problems for cases where no analytical solution exists. The article describes procedures for model formulation and their application for estimating errors, redefining statistical tests in cases of skewed and/or dependent data and for elaborating design practices.

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References

  1. Recommendations for the statistical methods ofanalysis ofspatial and temporal runoffflu ctuation homogeneity (1984), Gidrometeoizdat, Leningrad (in Russian).

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  2. Rojdestvensky, A.V. (1977) Assessment ofthe assurance of the hydrological characteristics distribution curves, Gidrometeoizdat, Leningrad (in Russian).

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  3. Rojdestvensky, A.V. (ed.) (1988) Spatial and temporal flu ctuations ofthe runoffof USSR rivers, Gidrometeoizdat, Leningrad (in Russian).

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  4. Rojdestvensky, A.V., Ejov, A.V.and Saharuk, A.V. (1990) Assessment ofhydrological computations accuracy. Gidrorneteoizdat, SI. Petersburg (in Russian)

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  5. Rojdestvensky, A.V. and Tchebotarev, A.I. (1974) Statistical methods in hydrology, Gidrometeoizdat, Leningrad (in Russian).

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Author information

Authors and Affiliations

  1. State Hydrological Institute, St. Petersburg, Y.O.,2a Line, 23, Russia

    A. V. Rozhdestvensky

Authors
  1. A. V. Rozhdestvensky
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Editor information

Editors and Affiliations

  1. Water Problems Institute, Moscow, Russia

    Mikhail V. Bolgov

  2. Department of Geophysics, University of Oslo, Norway

    Lars Gottschalk

  3. IGC, Sweden

    Irina Krasovskaia

  4. Centre for Ecology and Hydrology, Wallingford, UK

    Robert J. Moore

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© 2002 Springer Science+Business Media Dordrecht

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Rozhdestvensky, A.V. (2002). Stochastic Models of the Long-Term River Runoff Fluctuations with Application in Water Construction and Management. In: Bolgov, M.V., Gottschalk, L., Krasovskaia, I., Moore, R.J. (eds) Hydrological Models for Environmental Management. NATO Science Series, vol 79. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0470-1_11

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  • DOI: https://doi.org/10.1007/978-94-010-0470-1_11

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-0911-2

  • Online ISBN: 978-94-010-0470-1

  • eBook Packages: Springer Book Archive

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