Investigations into solar flare effects using wavelet-based local intermittency measure

Gopinath, Sumesh; Prince, P. R.

doi:10.1007/s11600-019-00257-7

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…To identify the distribution of intermittent energy bursts at different IMFs, the LIM is applied to detect the local intermittency fluctuation [Onorato et al (2000); Gopinath and Prince (2019)]. And it is given as Equation 2:…”

Section: Figurementioning

confidence: 99%

Development of a multi-layer network model for characterizing energy cascade behavior on turbulent mixing

Mao,

Yang,

Song

et al. 2024

Front. Mar. Sci.

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Eddies of various sizes are visible to the naked eye in turbulent flow. Each eddy scale corresponds to a fraction of the total energy released by the turbulence cascade. Understanding the dynamic mechanism of the energy cascade is crucial to the study of turbulent mixing. In this paper, an energy cascade multi-layer network (ECMN) based on the complex network algorithm is proposed to investigate the spatio-temporal evolution of the energy cascade, covering both the inertial and dispersive ranges. The dynamic process of energy cascade is transformed into a topological structure based on the node definition and edge determination. The topological structure allows for the exploration of eddies interaction and chaotic energy transfer across scales. The model results show the intermittent and non-uniform nature of the energy cascade. Meanwhile, the scale gap found in the model verifies the fractal property of the energy evolution. We also found that scales of the generated eddies in energy cascade process are stochastic, and a synchronous energy cascade pattern is demonstrated according to the constructed framework. Furthermore, it provides a topological way to evaluate the contribution of large and small scale eddies. In addition, a network structure coefficient κ is proposed to evaluate the energy transfer strength. It agrees very well with the fluctuation of dissipation rates. All of this shows that the network model can effectively reveal the inhomogeneous properties of the energy cascade and quantify the turbulent mixing intensity based on the intermittent scale interaction. This also provides new insights into the study of fractal scales of nonlinear complex systems and the bridging of chaotic dynamics with topological frameworks.

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Section: Figurementioning

confidence: 99%

Development of a multi-layer network model for characterizing energy cascade behavior on turbulent mixing

Mao,

Yang,

Song

et al. 2024

Front. Mar. Sci.

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Turbulence burst events in the bottom boundary layer of a tidal river

Liu,

Chen,

et al. 2025

Physics of Fluids

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Understanding flow turbulence dynamics in tidal river systems is critical for nutrient transport, sediment dynamics, and ecosystem health in nature. This study investigates the characteristics of turbulent burst events within the bottom boundary layer of a tidal river, utilizing on site observational data and applying variational mode decomposition (VMD) and local intermittency detection (LIM). The results reveal that the VMD–LIM method is effective in examining multi-scale turbulent processes. Key findings indicate a positive correlation between turbulent eddy structures and flow velocity, with fully developed turbulence and frequent burst events observed during strong currents, contrasting with weak current periods. Distinct burst event types emerge across different frequencies, categorized as “turtle type” (lower intensity, longer duration) at low frequencies and “rabbit type” [higher intensity, shorter duration, on the order of O(100) Hz] at high frequencies [on the order of O(101) Hz]. Energy transfer predominantly occurs between adjacent intrinsic mode functions (IMFs), with more transfers during strong currents, highlighting a more active energy cascade process in tidal rivers compared to estuarine environments. The study emphasizes the need for further exploration of the effects of turbulent events across varying scales on Reynolds stress and sediment dynamics. By elucidating the relationship between turbulent burst events and flow conditions, we aim to provide valuable insight for predicting the impacts of turbulence on aquatic environments, furtherly improving models of sediment transport and enhancing the ecological health of tidal river ecosystems.

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Investigations into solar flare effects using wavelet-based local intermittency measure

Cited by 2 publications

References 22 publications

Development of a multi-layer network model for characterizing energy cascade behavior on turbulent mixing

Development of a multi-layer network model for characterizing energy cascade behavior on turbulent mixing

Turbulence burst events in the bottom boundary layer of a tidal river

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