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Variational-based data assimilation to simulate sediment concentration in the Lower Yellow River, China

Fang, Hong Wei, Lai, Rui Xun, Lin, Binliang ORCID: https://orcid.org/0000-0001-8622-5822, Xu, Xing Ya, Zhang, Fang Xiu and Zhang, Yue Feng 2016. Variational-based data assimilation to simulate sediment concentration in the Lower Yellow River, China. Journal of Hydrologic Engineering 21 (5) , -. 10.1061/(ASCE)HE.1943-5584.0001344

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Abstract

The heavy sediment load of the Yellow River makes it difficult to simulate sediment concentration using classic numerical models. In this paper, on the basis of the classic one-dimensional numerical model of open channel flow, a variational-based data assimilation method is introduced to improve the simulation accuracy of sediment concentration and to estimate parameters in sediment carrying capacity. In this method, a cost function is introduced first to determine the difference between the sediment concentration distributions and available field observations. A one-dimensional suspended sediment transport equation, assumed as a constraint, is integrated into the cost function. An adjoint equation of the data assimilation system is used to solve the minimum problem of the cost function. Field data observed from the Yellow River in 2013 are used to test the proposed method. When running the numerical model with the data assimilation method, errors between the calculations and the observations are analyzed. Results show that (1) the data assimilation system can improve the prediction accuracy of suspended sediment concentration; (2) the variational inverse data assimilation is an effective way to estimate the model parameters, which are poorly known in previous research; and (3) although the available observations are limited to two cross sections located in the central portion of the study reach, the variational-based data assimilation system has a positive effect on the simulated results in the portion of the model domain in which no observations are available.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Uncontrolled Keywords: Variational data assimilation, Yellow River, Suspended sediment concentration, Adjoint equation
Publisher: American Society of Civil Engineers
ISSN: 1084-0699
Date of First Compliant Deposit: 27 July 2016
Date of Acceptance: 11 May 2015
Last Modified: 05 May 2023 08:01
URI: https://orca.cardiff.ac.uk/id/eprint/93176

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