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- W2892841246 abstract "Abstract Quantitative description of turbulence using simple physical/mathematical models remains a challenge in classical physics and hydrologic dynamics. This study monitored the turbulence velocity field at the surface and bottom of Taihu Lake, in China, a large shallow lake with a heterogeneous complex system, and conducted a statistical analysis of the data for the local turbulent structure. Results show that the measured turbulent flows with finite Reynolds numbers exhibit properties of non-Gaussian distribution. Compared with the normal distribution, the Levy distribution with meaningful parameters can better characterize the tailing behavior of the measured turbulence. Exit-distance statistics and multiscaling extended self-similarity (ESS) were used to interpret turbulence dynamics with different scale structures. Results show that the probability density function of the reverse structure distance and the multiscaling ESS can effectively capture the turbulent flow dynamics varying with water depth. These results provide an approach for quantitatively analyzing multiscale turbulence in large natural lakes." @default.
- W2892841246 created "2018-10-05" @default.
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- W2892841246 date "2018-07-01" @default.
- W2892841246 modified "2023-10-15" @default.
- W2892841246 title "Statistical description of depth-dependent turbulent velocity measured in Taihu Lake, China" @default.
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- W2892841246 doi "https://doi.org/10.1016/j.wse.2018.09.005" @default.
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