Complexity analysis of the turbulent environmental fluid flow time series
Dragutin T. Mihailovic, Emilija Nikolic-Djoric, Nusret Dreskovic and, Gordan Mimic

TL;DR
This study quantifies the complexity of river flow time series in Bosnia using entropy and Kolmogorov complexity measures, revealing changes over time linked to human activity and climate change.
Contribution
It applies entropy and Kolmogorov complexity measures to environmental river flow data, analyzing temporal variations and their relation to anthropogenic and climate factors.
Findings
Complexity measures are consistent across rivers despite amplitude differences.
A decrease in complexity during 1946-1965 correlates with human interventions and climate change.
Complexity measures are sensitive to time series length and temporal segmentation.
Abstract
We have used the Kolmogorov complexities, sample and permutation entropies to quantify the randomness degree in river flow time series of two mountain rivers in Bosnia and Herzegovina, representing the turbulent environmental fluid, for the period 1926-1990. In particular, we have examined the monthly river flow time series from two rivers (Miljacka and Bosnia) in mountain part of their flow and then calculated the Kolmogorov Complexity (KL) based on the Lempel-Ziv Algorithm (LZA) (Lower - KLL and Upper - KLU), Sample Entropy (SE) and Permutation Entropy (PE) values for each time series. The results indicate that the KLL, KLU, SE and PE values in two rivers are close to each other regardless of the amplitude differences in their monthly flow rates. We have illustrated the changes in mountain river flow complexity by experiments using (i) the data set for the Bosnia River and (ii)…
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