Nonlinear and periodic dynamics of chaotic hydro-thermal process of Skokomish river

Heikki Ruskeepää, Leonardo Nascimento Ferreira*, Mohammad Ali Ghorbani*, Ercan Kahya, Golmar Golmohammadi, Vahid Karimi

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2 Atıf (Scopus)

Özet

This paper investigates the dynamics of the time-series of water temperature of the Skokomish River (2019–2020) at hourly time scale by employing well-known nonlinear methods of chaotic data analysis including average mutual information, false nearest neighbors, correlation exponent, and local divergence rates. The delay time and the embedding dimension were calculated as 1400 and 9, respectively. The results indicated that the thermal regime in this river is chaotic due to the correlation dimension (1.38) and the positive largest Lyapunov exponent (0.045). Furthermore, complex networks have been applied to study the periodicity of thermal time-series throughout a year. A special algorithm is then used to find the so-called communities of the nodes. The algorithm found three communities which have been called Cold, Intermediate, and Warm. The temperatures in these three communities are, respectively, in the intervals (0.8, 5.8), (5.8, 11.63), and (11.63, 15.8). This analysis indicates that highest variations in water temperature occur between warm and cold seasons, and complex networks are highly capable to analyze hydrothermal fluctuations and classify their time-series.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)2739-2756
Sayfa sayısı18
DergiStochastic Environmental Research and Risk Assessment
Hacim37
Basın numarası7
DOI'lar
Yayın durumuYayınlandı - Tem 2023

Bibliyografik not

Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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