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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Sediment management and morphodynamics : Variational based data assimilation for the prediction of hyper sediment concentration in the lower ...
Variational based data assimilation for the prediction of hyper sediment concentration in the lower yellow river
Author : RUIXUN LAI (1), MIN WANG (2), FANGXIU ZHANG(3) & XINGYA XU (4)
ABSTRACT
The sediment hyper concentration in the Yellow River makes it difficult to simulate sediment concentration accurately
when using traditional numerical model. This paper uses a variational based data assimilation method to improve the
result of simulated sediment concentration in the lower Yellow River, China. A cost function is introduced to describe
difference between simulated sediment concentration and observations. One dimensional suspended sediment transport
equation, taken as a constraint, is added into the cost function. Adjoint equation of the data assimilation system is used to
solve the minimum problem. The usefulness and the capability of the variational data assimilation are demonstrated in the
lower Yellow River during the water-sediment regulation in 2011. In the assimilation process, errors between the
simulations and the observations are analyzed. It is believed that the flexible approach of the variational data assimilation
can improve the accuracy of simulated sediment concentration. Finally, limitations of variational data assimilation and
future work are discussed.
File Size : 545,937 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article : Sediment management and morphodynamics
Date Published : 28/08/2015
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