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Experimental and numerical investigations of spatially-varying dispersion tensors based on vertical velocity profile and depth-averaged flow field 期刊论文
, 2020, 卷号: 142
作者:  Park I.;  Seo I.W.;  Shin J.;  Song C.G.
收藏  |  浏览/下载：14/0  |  提交时间：2020/07/28
Flow fields  Pollution  Tensors  Velocity  Depth-averaged flows  Dispersion coefficient  Numerical investigations  Peak concentrations  Pollutant transport  Spatial variability  Stream wise direction  Vertical velocity profiles  Shear flow  channel flow  dispersion  experimental study  flow field  meander  numerical model  pollutant transport  spatial variation  tracer  velocity profile  
Recirculating flow-induced anomalous transport in meandering open-channel flows 期刊论文
, 2020, 卷号: 141
作者:  Kim J.S.;  Seo I.W.;  Baek D.;  Kang P.K.
收藏  |  浏览/下载：29/0  |  提交时间：2020/07/28
Dispersions  Lagrange multipliers  Markov processes  Navier Stokes equations  Secondary flow  Solute transport  Tracers  Turbulence models  Velocity  Velocity distribution  3-D numerical simulation  Lagrangian particle-tracking model  Recirculation zones  Reynolds averaged Navier-Stoke equations  Three-dimensional (3D) flow  Tracer concentration  Transport simulation  Transverse dispersion  Open channel flow  meander  Navier-Stokes equations  open channel flow  Reynolds number  secondary flow  solute transport  three-dimensional flow  turbulence  
Indicator-based data assimilation with multiple-point statistics for updating an ensemble of models with non-Gaussian parameter distributions 期刊论文
, 2020, 卷号: 141
作者:  Kumar D.;  Srinivasan S.
收藏  |  浏览/下载：35/0  |  提交时间：2020/07/28
Channel capacity  Gaussian distribution  Gaussian noise (electronic)  Groundwater  Groundwater flow  Groundwater pollution  Linear transformations  Concentration profiles  Ensemble based data assimilation  Ensemble Kalman Filter  Multiple-point statistics  Non Gaussian parameters  Non-linear transformations  Spatial characteristics  Subsurface heterogeneity  Geologic models  algorithm  data assimilation  ensemble forecasting  Gaussian method  groundwater flow  heterogeneity  Kalman filter  spatial distribution  uncertainty analysis  
Open channel flow within and above a layered vegetation: Experiments and first-order closure modeling 期刊论文
, 2020, 卷号: 137
作者:  Rahimi H.R.;  Tang X.;  Singh P.;  Li M.;  Alaghmand S.
收藏  |  浏览/下载：27/0  |  提交时间：2020/07/28
Analytical models  Circular cylinders  Mean square error  Vegetation  Velocity  Wetlands  Emergent vegetation  Experimental conditions  Root mean square errors  Submerged vegetation  Turbulent eddy viscosities  Two-layer  Velocity profiles  Vertical distributions  Open channel flow  flow modeling  flume experiment  open channel flow  Reynolds number  submerged vegetation  velocity profile  vertical distribution