Inversing source intension and longitudinal dispersion coefficient of 1-D stream water quality model using adjoint data assimilation method

摘要：

　　The adjoint data assimilation method is proposed to improve the numerical model accuracy by inversing parameters.The adjoint data assimilation method includes: (1) defining the difference value between simulation and observation values as objective function;(2) using the Lagrange operator method to transform the inversing problem with constraint equation into unconstrained control variables optimization problem through minimizing the objective function;(3)applying the steepest descent method to solve the control variables optimization problem.The performance of the adjoint data assimilation method is evaluated by means of test examples, including inverse pollution source intension and longitudinal dispersion coefficient in one-dimension stream water quality model.The case of pollution source intension inversing indicates that the adjoint data assimilation method can find multi-variables successfully with great robustness and applicability.In the second case, the adjoint assimilation method is applied to predict the longitudinal dispersion coefficient in one-dimension stream water quality model.The observed data is from the experiment of pollutants concentration by Guymer.The results of the adjoint data assimilation method agree better with the observed values than that of the artificial trial method.It is demonstrated that the model parameters inversed by adjoint data assimilation are closer to the precise values.

关键词： adjoint data assimilation method inverse problem water quality model

作者: Wugang Zhou Zhonghua Yang Fengpeng Bai

作者单位: State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University Wuhan,China

会议类型: 国际会议

会议名称: The Second Conference of Global Chinese Scholars on Hydrodynamics(第二届全球华人水动学学术会议)

会议地点: 江苏 无锡

会议语种:英文

页码: 469-474

在线出版日期: 2016-11-11（万方平台首次上网日期，不代表论文的发表时间）