Statistical description of depth-dependent turbulent velocity measured in Taihu Lake, China  

作　　者：Lin Yuan Hong-guang Sun Yong Zhang Yi-ping Li Bing-qing Lu 

机构地区：[1]State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University [2]College of Mechanics and Materials, Hohai University [3]Department of Geological Sciences, University of Alabama [4]College of Environment, Hohai University

出　　处：《Water Science and Engineering》2018年第3期243-249,共7页水科学与水工程（英文版）

基　　金：supported by the National Key R&D Program of China(Grant No.2017YFC0405203);the National Natural Science Foundation of China(Grants No.11572112,41628202,and 41330632)

摘　　要：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.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.

关 键 词：Finite REYNOLDS number turbulence Reverse structure FUNCTION LEVY distribution Probability density FUNCTION MULTISCALING extended self-similarity(ESS) 

分 类 号：TV[水利工程]