Articles | Volume 8, issue 4
Earth Syst. Dynam., 8, 931–949, 2017
https://doi.org/10.5194/esd-8-931-2017

Special issue: Hydro-climate dynamics, analytics and predictability

Earth Syst. Dynam., 8, 931–949, 2017
https://doi.org/10.5194/esd-8-931-2017

Research article 24 Oct 2017

Research article | 24 Oct 2017

Fractal scaling analysis of groundwater dynamics in confined aquifers

Tongbi Tu et al.

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Cited articles

Barbosa, S., Fernandes, M., and Silva, M.: Long-range dependence in North Atlantic sea level, Physica A, 371, 725–731, 2006.
Bloomfield, P.: Trends in global temperature, Climatic Change, 21, 1–16, 1992.
Blöschl, G. and Sivapalan, M.: Scale issues in hydrological modelling: a review, Hydrol. Process., 9, 251–290, 1995.
Dubuc, B., Quiniou, J., Roques-Carmes, C., Tricot, C., and Zucker, S.: Evaluating the fractal dimension of profiles, Phys. Rev. A, 39, 1500, https://doi.org/10.1103/PhysRevA.39.1500, 1989.
Ercan, A., Kavvas, M. L., and Abbasov, R. K.: Long-range dependence and sea level forecasting, Springer, Cham, Germany, https://doi.org/10.1007/978-3-319-01505-7, 2013.
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Groundwater level fluctuations in confined aquifer wells with long observations exhibit site-specific fractal scaling behavior, and the underlying distribution exhibits either non-Gaussian characteristics, which may be fitted by the Lévy stable distribution, or Gaussian characteristics. The estimated Hurst exponent is highly dependent on the length and the specific time interval of the time series. The MF-DFA and MMA analyses showed that different levels of multifractality exist.
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