title: Stochastic hydrology: the development of the main ideas in Russia
metadata.name: dc.contributor.author
metadata.value: Bolgov, Mikhail V.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2021-06-01T14:40:51Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2021-06-01T14:40:51Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2021-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Bolgov, M. V. (2020). Stochastic hydrology: the development of the main ideas in Russia. Vestnik of Saint Petersburg University. Earth Sciences, 66 (1), 19–40.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu07.2021.102
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/29080
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The aim of the work is to assess the current state of scientific research and the main results
  in the field of stochastic hydrology. Various problems of scientific and applied hydrology are solved on the basis of different types of stochastic models. On the basis of these models, methods
  are being developed for obtaining secure engineering runoff characteristics, or reliable
  hydrological forecasts of various lead times. Most water management, construction, environmental
  and other problems are solved today within the framework of probabilistic models
  and statistical methods. The main tasks of stochastic hydrology can be divided into several
  groups. Despite the discussion in hydrology on the applicability of the theory of probability
  and random processes to the analysis of fluctuations of hydrometeorological series, the problem
  of choosing a research methodology remains one of the most important, and is often
  discussed in connection with anomalous manifestations of hydrological phenomena (extreme
  floods, prolonged droughts). An important applied and theoretical problem in hydrology is
  the choice of a one-dimensional probability distribution. In this part, discussions are important
  both on the problem of the type of new distributions and on methods for estimating
  parameters. Ideas and hypotheses are considered that can significantly increase the reliability
  of statistical characteristics. Climatic changes in many cases cause disturbances in the stationarity
  of time series of hydrological characteristics. Progress in the development of new
  approaches to probabilistic modeling is associated both with the well-known problem of the
  sufficiency of the Markov hypothesis and with the need to introduce new, more complex models
  and Bayesian estimation methods. The article is devoted to the discussion of the current
  state of these problems in the form of a scientific review.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: The work was carried out with partial funding from the state budget within the framework of theme
  No. 0147-2019-0003 of the state assignment of the Institute of Water Problems of the Russian Academy of
  Sciences (state registration No. AAAA-A18-118022090105-5).
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Earth Sciences;Volume 66; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: stochastic hydrology
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: probability distributions
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: stochastic processes
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: correlation theory
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: long-term fluctuations
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: nonstationary processes
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: Bayesian methods
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Stochastic hydrology: the development of the main ideas in Russia
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 19-40.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/29080/1/19-40.pdf
resources.format: Adobe PDF
resources.size: 881,37 kB