Multifractal characterization of meteorological drought in India using detrended fluctuation analysis

2019 ◽  
Vol 39 (11) ◽  
pp. 4234-4255 ◽  
Author(s):  
S. Adarsh ◽  
D. Nagesh Kumar ◽  
B. Deepthi ◽  
G. Gayathri ◽  
S. S. Aswathy ◽  
...  
Keyword(s):  
Detrended Fluctuation Analysis ◽  
Meteorological Drought ◽  
Fluctuation Analysis ◽  
Detrended Fluctuation

DIFFICULTIES IN THE USE OF DFA TO CHARACTERIZE PETROLEUM RESERVOIRS

2011 ◽  
Vol 22 (02) ◽  
pp. 123-131 ◽  
Author(s):  
R. A. RIBEIRO ◽  
MARIA V. M. MATA ◽  
K. C. O. COSTA ◽  
F. W. F. SILVA ◽  
L. S. LUCENA ◽  
...  
Keyword(s):  
Detrended Fluctuation Analysis ◽  
Gamma Ray ◽  
Petroleum Reservoirs ◽  
Oil Reservoirs ◽  
Well Logs ◽  
Fluctuation Analysis ◽  
Oil Reservoir ◽  
Detrended Fluctuation ◽  
Physical Quantities

In this work we have used the Detrended Fluctuation Analysis (DFA) technique to investigate an oil reservoir. The system we address here is situated at Bacia de Namorados, RJ, Brazil. The data corresponds to well logs of five geophysical variables: sonic, porosity, electrical resistivity, gamma ray and density measured in 56 wells. The objective of this work is to analyze the correlation or similarity among the DFA index of several geophysical quantities. We perform a linear correlation test to compare pairs of DFA indices of the geophysical quantities for the well logs. We have not found a major similarity among the five variables which indicates an absence of correlation for these variables. Therefore, we argue that the DFA index should be used with caution in the characterization of oil reservoirs. In this way we suggest to integrate the information of DFA of several physical quantities to adequately model this kind of system.

Characterization of personal solar ultraviolet radiation exposure using detrended fluctuation analysis

2020 ◽  
Vol 182 ◽  
pp. 108976 ◽  
Author(s):  
Suzana M. Blesić ◽  
D. Jean du Preez ◽  
Djordje I. Stratimirović ◽  
Jelena V. Ajtić ◽  
M. Cynthia Ramotsehoa ◽  
...  
Keyword(s):  
Ultraviolet Radiation ◽  
Radiation Exposure ◽  
Detrended Fluctuation Analysis ◽  
Fluctuation Analysis ◽  
Solar Ultraviolet Radiation ◽  
Ultraviolet Radiation Exposure ◽  
Detrended Fluctuation ◽  
Solar Ultraviolet

Characterization of the sleep EEG in acutely depressed men using detrended fluctuation analysis

2007 ◽  
Vol 118 (4) ◽  
pp. 940-950 ◽  
Author(s):  
S. Leistedt ◽  
M. Dumont ◽  
J.-P. Lanquart ◽  
F. Jurysta ◽  
P. Linkowski
Keyword(s):  
Detrended Fluctuation Analysis ◽  
Sleep Eeg ◽  
Fluctuation Analysis ◽  
Detrended Fluctuation

scholarly journals ANALYSIS OF SUNSPOT NUMBER FLUCTUATIONS

Fractals ◽  
2004 ◽  
Vol 12 (04) ◽  
pp. 405-411 ◽  
Author(s):  
H. FANCHIOTTI ◽  
S. J. SCIUTTO ◽  
C. A. GARCÍA CANAL ◽  
C. HOJVAT
Keyword(s):  
Sunspot Number ◽  
Detrended Fluctuation Analysis ◽  
Power Spectra ◽  
Time Signal ◽  
Fluctuation Analysis ◽  
The Sun ◽  
Jump Size ◽  
Detrended Fluctuation ◽  
Frequency Power

Monthly averages of the sunspot number visible on the sun, observed from 1749, Zurich Observatory, and from 1848 other observatories, have been analyzed. This time signal presents a frequency power spectra with a clear 1/fα behavior with α≃0.8±0.2. The well-known cycle of approximately 11 years, clearly present in the spectrum, does not produce a sensible distortion of that behavior. The eventual characterization of the sunspot time series as a fractal is analyzed by means of the detrended fluctuation analysis (DFA). The jump-size distribution of the signal is also studied.

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