On the Development of the Stochastic Approach in Hydrology

  • D. Y. Ratkovich
Part of the NATO Science Series book series (ASEN2, volume 79)


River runoff. as with other hydrometeorological processes, experiences long-term and annual variations that control the hydrological regime of water bodies and their impact on the environment. Runoff variations govern aquatic ecosystems. available water resources, and determine the measures required for ensuring water supply and engineering protection against the adverse effects of water. Now, at the very end of the twentieth century it is not necessary to prove that application of statistical methods for studying natural phenomena, especially in hydrometeorology, is quite fruitful. Techniques of mathematical statistics are among the main methods in this field.


River Runoff Annual Runoff Runoff Variation Water Problem Institute Water Budget Component 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Blokhinov, E.G. (1974) Raspredelenie veroyatnostei velichin rechnogo stoka (Probability Distribution of River Runoff Values), Nauka, Moscow (in Russian).Google Scholar
  2. 2.
    Bolgov, M.V. (1997) O stokhasticheskoi modeli ekstremal’nykh raskhodov vody (On a Stochastic Model of Extreme Water Discharge Values). In: “Analysis and Assessment of Natural Risks in Construction”, Proc. Intern. Conf. PNIIS Gos. Kom. Stroit. Ross. Feder., 32–35. (In Russian.)Google Scholar
  3. 3.
    Frolov, A.V. (1985) Dinoamiko-stokhsticheskie modeli mnogoletnikh kolebanii urovnya protochnykh ozer (Dynamic-Stochastic Models of Long-term Variations in the Level of FlowThrough Lakes), Nauka, Moscow (in Russian).Google Scholar
  4. 4.
    Kritskii, S.N. and Menkel, M.F. (1981) Gidrologicheskie osnovy upravleniya rechnym stokom (Hydraulic Principles of River RunoffManagement), Nauka, Moscow (in Russian).Google Scholar
  5. 5.
    Ratkovich, D.Ya. (1976) Mnogoletnie kolebaniya rechnogo stoka (Long-Term Variations in River Runoff), Gidrometeoizdat, Leningrad (in Russian).Google Scholar
  6. 6.
    Ratkovich, D.Ya. (1993) Gidrologicheskie osnovy vodoobespecheniya (Hydrological Principles of Water Supply), Water Problems Institute, Russian Academy of Sciences, Moscow (in Russian).Google Scholar
  7. 7.
    Ratkovich, D.Ya. and Bolgov, M.V. (1997) Stokhasticheskie modeli kolebanii sostavlyayushchikb vodnogo balansa rechnogo basseina (Stochastic Models of Variations in the Components of Water Budget in a River Basin), Water Problems Institute, Russian Academy of Sciences, Russian Foundation for BasicResearch, Moscow (in Russian).Google Scholar
  8. 8.
    Ratkovich, L.D. (1983) O vosstanovlenii korotkikh ryadov stoka po analogam (On Reconstruction of Short Runoff Series Based on Analogues), Vodn. Resur. 5, 26–44.Google Scholar
  9. 9.
    Rozhdestvenskii, A.V. (1977) Otsenka tochnosti krivykh raspredeleniya geologicheskikh kharakteristik (Assessment of the Accuracy of Distribution Curves for Hydrological Characteristics), Gidrorneteoizdat, Leningrad(in Russian).Google Scholar
  10. 10.
    Sannanov, I.O. (1968) Postroenie korrelyatsii mezhdu ravnomemo raspredelennymi sluchainymi velichinami (Construction of Correlation between Uniformly Distributed Random Variables), Tr. Gos. Gidrol. lnst. 160, 81–89(in Russian).Google Scholar
  11. 11.
    Svanidze, G.G. (1964) Osnovy rascheta regulirovaniya rechnogo stoka metodom Monte-Karlo (Principles of Calculation of River Runoff Management by Monte Carlo Method), Metsniereba, Tbilisi.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2002

Authors and Affiliations

  • D. Y. Ratkovich
    • 1
  1. 1.Water Problems InstituteRussian Academy of SciencesMoscowRussia

Personalised recommendations