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Changes in long-term properties and natural cycles of the Danube river level and flow induced by damming

Author

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  • Stratimirovic, Djordje
  • Batas-Bjelic, Ilija
  • Djurdjevic, Vladimir
  • Blesic, Suzana

Abstract

In this paper we assessed changes in scaling properties of the river Danube level and flow data, associated with building of Djerdap/Iron Gates hydrological power plants positioned on the border of Romania and Serbia. We used detrended fluctuation analysis (DFA), wavelet transform spectral analysis (WTS) and wavelet modulus maxima method (WTMM) to investigate time series of measurements from hydrological stations in the vicinity of dams and in the area of up to 480 km upstream from dams, and time series of simulated NOAA-CIRES 20th Century Global Reanalysis precipitation data for the Djerdap/Iron Gates region. By comparing river dynamics during the periods before and after construction of dams, we were able to register changes in scaling that are different for recordings from upstream and from downstream (from dams) areas. We found that damming caused appearance of human-made or enhancement of natural cycles in the small time scales region, which largely influenced the change in temporal scaling in downstream recording stations. We additionally found disappearance or decline in the amplitude of large-time-scale cycles as a result of damming, which changed the dynamics of upstream data. The most prominent finding of our paper is a demonstration of a complete or partial loss of annual cycles in the upstream stations’ data that stems from the operation of the artificial water reservoir and extends as far as 220 km from dams. We discussed probable sources of such found changes in scaling, aiming to provide explanations that could be of use in future environmental assessments.

Suggested Citation

  • Stratimirovic, Djordje & Batas-Bjelic, Ilija & Djurdjevic, Vladimir & Blesic, Suzana, 2021. "Changes in long-term properties and natural cycles of the Danube river level and flow induced by damming," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    • Handle: RePEc:eee:phsmap:v:566:y:2021:i:c:s0378437120309055
    DOI: 10.1016/j.physa.2020.125607
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    as
    1. Arneodo, A. & Bacry, E. & Muzy, J.F., 1995. "The thermodynamics of fractals revisited with wavelets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 213(1), pages 232-275.
    2. Milošević, S. & Blesić, S. & Stratimirović, Dj., 2002. "Beneficial randomness of signals in a neuronal circuit," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 314(1), pages 43-52.
    3. Christophe Cassou, 2008. "Intraseasonal interaction between the Madden–Julian Oscillation and the North Atlantic Oscillation," Nature, Nature, vol. 455(7212), pages 523-527, September.
    4. Scafetta, N & Griffin, L & West, B.J, 2003. "Hölder exponent spectra for human gait," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 328(3), pages 561-583.
    5. Livina, V. & Ashkenazy, Y. & Kizner, Z. & Strygin, V. & Bunde, A. & Havlin, S., 2003. "A stochastic model of river discharge fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 330(1), pages 283-290.
    6. Stošić, Darko & Stošić, Dusan & Stošić, Tatijana & Stanley, H. Eugene, 2015. "Multifractal analysis of managed and independent float exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 13-18.
    7. Armin Bunde & Ulf Büntgen & Josef Ludescher & Jürg Luterbacher & Hans von Storch, 2013. "Is there memory in precipitation?," Nature Climate Change, Nature, vol. 3(3), pages 174-175, March.
    8. Hyung-Il Eum & A. Vasan & Slobodan Simonovic, 2012. "Integrated Reservoir Management System for Flood Risk Assessment Under Climate Change," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(13), pages 3785-3802, October.
    9. Amir Bashan & Ronny Bartsch & Jan W. Kantelhardt & Shlomo Havlin, 2008. "Comparison of detrending methods for fluctuation analysis," Papers 0804.4081, arXiv.org.
    10. Stratimirović, Dj. & Milošević, S. & Blesić, S. & Ljubisavljević, M., 2001. "Wavelet analysis of discharge dynamics of fusimotor neurons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 291(1), pages 13-23.
    11. Nunes Amaral, Luís A & Buldyrev, Sergey V & Havlin, Shlomo & Maass, Philipp & Salinger, Michael A & Eugene Stanley, H & Stanley, Michael H.R, 1997. "Scaling behavior in economics: The problem of quantifying company growth," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 244(1), pages 1-24.
    12. Marc Höll & Holger Kantz, 2015. "The relationship between the detrendend fluctuation analysis and the autocorrelation function of a signal," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(12), pages 1-7, December.
    13. Jánosi, Imre M & Gallas, Jason A.C, 1999. "Growth of companies and water-level fluctuations of the river Danube," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 271(3), pages 448-457.
    14. Dahlstedt, Kajsa & Jensen, Henrik Jeldtoft, 2005. "Fluctuation spectrum and size scaling of river flow and level," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 348(C), pages 596-610.
    15. Blesić, S. & Milošević, S. & Stratimirović, Dj. & Ljubisavljević, M., 1999. "Detrended fluctuation analysis of time series of a firing fusimotor neuron," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 268(3), pages 275-282.
    16. Kantelhardt, Jan W & Koscielny-Bunde, Eva & Rego, Henio H.A & Havlin, Shlomo & Bunde, Armin, 2001. "Detecting long-range correlations with detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 295(3), pages 441-454.
    17. Bashan, Amir & Bartsch, Ronny & Kantelhardt, Jan W. & Havlin, Shlomo, 2008. "Comparison of detrending methods for fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(21), pages 5080-5090.
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