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Stochastic structure of annual discharges of large European rivers

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2015
700.pdf (505.9Kb)
Authors
Stojković, Milan
Prohaska, Stevan
Plavšić, Jasna
Article (Published version)
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Abstract
Water resource has become a guarantee for sustainable development on both local and global scales. Exploiting water resources involves development of hydrological models for water management planning. In this paper we present a new stochastic model for generation of mean annul flows. The model is based on historical characteristics of time series of annual flows and consists of the trend component, long-term periodic component and stochastic component. The rest of specified components are model errors which are represented as a random time series. The random time series is generated by the single bootstrap model (SBM). Stochastic ensemble of error terms at the single hydrological station is formed using the SBM method. The ultimate stochastic model gives solutions of annual flows and presents a useful tool for integrated river basin planning and water management studies. The model is applied for ten large European rivers with long observed period. Validation of model results suggests t...hat the stochastic flows simulated by the model can be used for hydrological simulations in river basins.

Keywords:
Stochastic model / Flow simulation / Long-term periodicity / Single bootstrap model SBM
Source:
Journal of Hydrology and Hydromechanics, 2015, 63, 1, 63-70
Publisher:
  • Versita
Funding / projects:
  • Assessment of Climate Change Impact on Water Resources of Serbia (RS-37005)

DOI: 10.1515/johh-2015-0009

ISSN: 0042-790X

WoS: 000356811500008

Scopus: 2-s2.0-84922605102
[ Google Scholar ]
8
9
URI
https://grafar.grf.bg.ac.rs/handle/123456789/702
Collections
  • Radovi istraživača / Researcher's publications
  • Катедра за хидротехнику и водно-еколошко инжењерство
Institution/Community
GraFar
TY  - JOUR
AU  - Stojković, Milan
AU  - Prohaska, Stevan
AU  - Plavšić, Jasna
PY  - 2015
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/702
AB  - Water resource has become a guarantee for sustainable development on both local and global scales. Exploiting water resources involves development of hydrological models for water management planning. In this paper we present a new stochastic model for generation of mean annul flows. The model is based on historical characteristics of time series of annual flows and consists of the trend component, long-term periodic component and stochastic component. The rest of specified components are model errors which are represented as a random time series. The random time series is generated by the single bootstrap model (SBM). Stochastic ensemble of error terms at the single hydrological station is formed using the SBM method. The ultimate stochastic model gives solutions of annual flows and presents a useful tool for integrated river basin planning and water management studies. The model is applied for ten large European rivers with long observed period. Validation of model results suggests that the stochastic flows simulated by the model can be used for hydrological simulations in river basins.
PB  - Versita
T2  - Journal of Hydrology and Hydromechanics
T1  - Stochastic structure of annual discharges of large European rivers
EP  - 70
IS  - 1
SP  - 63
VL  - 63
DO  - 10.1515/johh-2015-0009
UR  - conv_1748
ER  - 
@article{
author = "Stojković, Milan and Prohaska, Stevan and Plavšić, Jasna",
year = "2015",
abstract = "Water resource has become a guarantee for sustainable development on both local and global scales. Exploiting water resources involves development of hydrological models for water management planning. In this paper we present a new stochastic model for generation of mean annul flows. The model is based on historical characteristics of time series of annual flows and consists of the trend component, long-term periodic component and stochastic component. The rest of specified components are model errors which are represented as a random time series. The random time series is generated by the single bootstrap model (SBM). Stochastic ensemble of error terms at the single hydrological station is formed using the SBM method. The ultimate stochastic model gives solutions of annual flows and presents a useful tool for integrated river basin planning and water management studies. The model is applied for ten large European rivers with long observed period. Validation of model results suggests that the stochastic flows simulated by the model can be used for hydrological simulations in river basins.",
publisher = "Versita",
journal = "Journal of Hydrology and Hydromechanics",
title = "Stochastic structure of annual discharges of large European rivers",
pages = "70-63",
number = "1",
volume = "63",
doi = "10.1515/johh-2015-0009",
url = "conv_1748"
}
Stojković, M., Prohaska, S.,& Plavšić, J.. (2015). Stochastic structure of annual discharges of large European rivers. in Journal of Hydrology and Hydromechanics
Versita., 63(1), 63-70.
https://doi.org/10.1515/johh-2015-0009
conv_1748
Stojković M, Prohaska S, Plavšić J. Stochastic structure of annual discharges of large European rivers. in Journal of Hydrology and Hydromechanics. 2015;63(1):63-70.
doi:10.1515/johh-2015-0009
conv_1748 .
Stojković, Milan, Prohaska, Stevan, Plavšić, Jasna, "Stochastic structure of annual discharges of large European rivers" in Journal of Hydrology and Hydromechanics, 63, no. 1 (2015):63-70,
https://doi.org/10.1515/johh-2015-0009 .,
conv_1748 .

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