Estimation of spatially varying parameters in three-dimensional cohesive sediment transport models by assimilating remote sensing data

2017 ◽  
Vol 23 (2) ◽  
pp. 319-332 ◽  
Author(s):  
Jicai Zhang ◽  
Dongdong Chu ◽  
Daosheng Wang ◽  
Anzhou Cao ◽  
Xianqing Lv ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Sediment Transport ◽  
Three Dimensional ◽  
Remote Sensing Data ◽  
Cohesive Sediment ◽  
Transport Models ◽  
Varying Parameters ◽  
Sensing Data ◽  
Cohesive Sediment Transport ◽  
Spatially Varying

Three-dimensional numerical modeling of cohesive sediment transport and wind wave impact in a shallow oxbow lake

2008 ◽  
Vol 31 (7) ◽  
pp. 1004-1014 ◽  
Author(s):  
Xiaobo Chao ◽  
Yafei Jia ◽  
F. Douglas Shields ◽  
Sam S.Y. Wang ◽  
Charles M. Cooper
Keyword(s):  
Numerical Modeling ◽  
Sediment Transport ◽  
Wind Wave ◽  
Three Dimensional ◽  
Cohesive Sediment ◽  
Oxbow Lake ◽  
Wave Impact ◽  
Cohesive Sediment Transport

scholarly journals A Methodology for Estimating the Parameters in Three-Dimensional Cohesive Sediment Transport Models by Assimilating In Situ Observations with the Adjoint Method

2017 ◽  
Vol 34 (7) ◽  
pp. 1469-1482 ◽  
Author(s):  
Daosheng Wang ◽  
Jicai Zhang ◽  
Ya Ping Wang ◽  
Xianqing Lv ◽  
Yang Yang ◽  
...  
Keyword(s):  
Sediment Transport ◽  
Adjoint Method ◽  
Settling Velocity ◽  
Transport Model ◽  
Three Dimensional ◽  
Temporal Variations ◽  
Cohesive Sediment ◽  
Cohesive Sediment Transport ◽  
Resuspension Rate

AbstractThe model parameters in the suspended cohesive sediment transport model are quite important for the accurate simulation of suspended sediment concentrations (SSCs). Based on a three-dimensional cohesive sediment transport model and its adjoint model, the in situ observed SSCs at four stations are assimilated to simulate the SSCs and to estimate the parameters in Hangzhou Bay in China. Numerical experimental results show that the adjoint method can efficiently improve the simulation results, which can benefit the prediction of SSCs. The time series of the modeled SSCs present a clear semidiurnal variation, in which the maximal SSCs occur during the flood tide and near the high water level due to the large current speeds. Sensitivity experiments prove that the estimated results of the settling velocity and resuspension rate, especially the temporal variations, are robust to the model settings. The temporal variations of the estimated settling velocity are negatively correlated with the tidal elevation. The main reason is that the mean size of the suspended sediments can be reduced during the flood tide, which consequently decreases the settling velocity according to Stokes’s law, and it is opposite in the ebb tide. The temporal variations of the estimated resuspension rate and the current speeds have a significantly positive correlation, which accords with the dynamics of the resuspension rate. The temporal variations of the settling velocity and resuspension rate are reasonable from the viewpoint of physics, indicating the adjoint method can be an effective tool for estimating the parameters in the sediment transport models.

Modelling the surface circulation and thermal structure of a tropical reservoir using three-dimensional hydrodynamic lake model and remote-sensing data

2013 ◽  
Vol 28 (4) ◽  
pp. 516-525 ◽  
Author(s):  
Marcelo Pedroso Curtarelli ◽  
Enner Alcântara ◽  
Camilo Daleles Rennó ◽  
Arcilan Trevenzoli Assireu ◽  
Marie Paule Bonnet ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Thermal Structure ◽  
Three Dimensional ◽  
Remote Sensing Data ◽  
Tropical Reservoir ◽  
Sensing Data ◽  
Surface Circulation ◽  
Lake Model
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