Literature DB >> 31866691

Patterns of temporal scaling of groundwater level fluctuation.

Xue Yu1, Reza Ghasemizadeh1, Ingrid Y Padilla2, David Kaeli3, Akram Alshawabkeh1.   

Abstract

We studied the fractal scaling behavior of groundwater level fluctuation for various types of aquifers in Puerto Rico using the methods of (1) detrended fluctuation analysis (DFA) to examine the monofractality and (2) wavelet transform maximum modulus (WTMM) to analyze the multifractality. The DFA results show that fractals exist in groundwater fluctuations of all the aquifers with scaling patterns that are anti-persistent (1 < β < 1.5; 1.32 ± 0.12, 18 wells) or persistent (β > 1.5; 1.62 ± 0.07, 4 wells). The multi-fractal analysis confirmed the need to characterize these highly complex processes with multifractality, which originated from the stochastic distribution of the irregularly-shaped fluctuations. The singularity spectra of the fluctuation processes in each well were site specific. We found a general elevational effect with smaller fractal scaling coefficients in the shallower wells, except for the Northern Karst Aquifer Upper System. High spatial variability of fractal scaling of groundwater level fluctuations in the karst aquifer is due to the coupled effects of anthropogenic perturbations, precipitation, elevation and particularly the high heterogeneous hydrogeological conditions.

Entities:  

Keywords:  Detrended fluctuation analysis (DFA); Karst aquifer; Mono- and multi-fractality; Puerto Rico; Wavelet

Year:  2016        PMID: 31866691      PMCID: PMC6924611          DOI: 10.1016/j.jhydrol.2016.03.018

Source DB:  PubMed          Journal:  J Hydrol (Amst)        ISSN: 0022-1694            Impact factor:   5.722


  14 in total

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7.  Spatiotemporal changes of CVOC concentrations in karst aquifers: analysis of three decades of data from Puerto Rico.

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8.  Review: Groundwater flow and transport modeling of karst aquifers, with particular reference to the North Coast Limestone aquifer system of Puerto Rico.

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9.  Revisiting detrended fluctuation analysis.

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