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Fluctuation spectrum and size scaling of river flow and level

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  • Dahlstedt, Kajsa
  • Jensen, Henrik Jeldtoft

Abstract

We describe the statistical properties of two large river systems: the Danube and the Mississippi. The properties of the two rivers are compared qualitatively to the general properties of a critical steady-state system. Specifically, we test the recent suggestion by Bramwell et al. (Europhys. Lett. 57 (2002) 310) that a universal probability density function (PDF) exists for the fluctuations in river level, namely the Bramwell–Holdsworth–Pinton (BHP) PDF. The statistical properties investigated in this paper are: the PDF of the river flow and river level; moment scaling with basin area; moment to moment scaling or relative scaling; and power spectral properties of the data. We find that the moments of the flow scale approximately with basin area and that the seasonally adjusted flows exhibit relative moment scaling. Compared to the Mississippi, the Danube shows large deviations from spatial scaling and the power spectra show considerable dependence on system size. This might be due to water use and regulations as well as inhomogeneities in the basin area. We also find that the PDF of level data in some, but not all, cases can be qualitatively approximated by the BHP PDF.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:phsmap:v:348:y:2005:i:c:p:596-610
    DOI: 10.1016/j.physa.2004.09.039
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    Cited by:

    1. 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).
    2. Gonçalves, Rui & Ferreira, Helena & Stollenwerk, Nico & Pinto, Alberto Adrego, 2010. "Universal fluctuations of the AEX index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4776-4784.
    3. Rudy Calif & François G. Schmitt, 2015. "Taylor Law in Wind Energy Data," Resources, MDPI, vol. 4(4), pages 1-9, October.
    4. Braga, A.C. & Alves, L.G.A. & Costa, L.S. & Ribeiro, A.A. & de Jesus, M.M.A. & Tateishi, A.A. & Ribeiro, H.V., 2016. "Characterization of river flow fluctuations via horizontal visibility graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 1003-1011.
    5. Adarsh Sankaran & Sagar Rohidas Chavan & Mumtaz Ali & Archana Devarajan Sindhu & Drisya Sasi Dharan & Muhammad Ismail Khan, 2021. "Spatiotemporal variability of multifractal properties of fineresolution daily gridded rainfall fields over India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 106(3), pages 1951-1979, April.

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