The internal structure of hydrologic processes is discussed in the paper. Time series of mean annual river discharges are assessed to determine their stationarity, trend and periodicity. The time series of annual discharges are determined to be non-stationary. The trend varies in different time segments, with changing trend intensity and direction. Hurst analysis shows that the time series of annual discharges have a long memory. Long-term periodicity of annual time series is considered, while macroperiods are determined and classified into four groups of mean values: 9.5, 13.5, 22.5 and 31.5 years. Secondary microperiodicity is found to exist in the interval from 3.6 to 4.9 years.
TY - JOUR
AU - Stojković, Milan
AU - Prohaska, Stevan
AU - Plavšić, Jasna
PY - 2014
UR - https://grafar.grf.bg.ac.rs/handle/123456789/642
AB - The internal structure of hydrologic processes is discussed in the paper. Time series of mean annual river discharges are assessed to determine their stationarity, trend and periodicity. The time series of annual discharges are determined to be non-stationary. The trend varies in different time segments, with changing trend intensity and direction. Hurst analysis shows that the time series of annual discharges have a long memory. Long-term periodicity of annual time series is considered, while macroperiods are determined and classified into four groups of mean values: 9.5, 13.5, 22.5 and 31.5 years. Secondary microperiodicity is found to exist in the interval from 3.6 to 4.9 years.
PB - Serbian Water Pollution Control Society, Belgrade
T2 - Water research and management
T1 - Internal stochastic structure of annual discharge time series of Serbia’s large rivers
EP - 13
IS - 2
SP - 3
VL - 4
UR - https://hdl.handle.net/21.15107/rcub_grafar_642
ER -
@article{
author = "Stojković, Milan and Prohaska, Stevan and Plavšić, Jasna",
year = "2014",
abstract = "The internal structure of hydrologic processes is discussed in the paper. Time series of mean annual river discharges are assessed to determine their stationarity, trend and periodicity. The time series of annual discharges are determined to be non-stationary. The trend varies in different time segments, with changing trend intensity and direction. Hurst analysis shows that the time series of annual discharges have a long memory. Long-term periodicity of annual time series is considered, while macroperiods are determined and classified into four groups of mean values: 9.5, 13.5, 22.5 and 31.5 years. Secondary microperiodicity is found to exist in the interval from 3.6 to 4.9 years.",
publisher = "Serbian Water Pollution Control Society, Belgrade",
journal = "Water research and management",
title = "Internal stochastic structure of annual discharge time series of Serbia’s large rivers",
pages = "13-3",
number = "2",
volume = "4",
url = "https://hdl.handle.net/21.15107/rcub_grafar_642"
}
Stojković, M., Prohaska, S.,& Plavšić, J.. (2014). Internal stochastic structure of annual discharge time series of Serbia’s large rivers. in Water research and management
Serbian Water Pollution Control Society, Belgrade., 4(2), 3-13.
https://hdl.handle.net/21.15107/rcub_grafar_642
Stojković M, Prohaska S, Plavšić J. Internal stochastic structure of annual discharge time series of Serbia’s large rivers. in Water research and management. 2014;4(2):3-13.
https://hdl.handle.net/21.15107/rcub_grafar_642 .
Stojković, Milan, Prohaska, Stevan, Plavšić, Jasna, "Internal stochastic structure of annual discharge time series of Serbia’s large rivers" in Water research and management, 4, no. 2 (2014):3-13,
https://hdl.handle.net/21.15107/rcub_grafar_642 .
