泥沙研究2025，Vol.50Issue(6)：1-8,8.DOI:10.16239/j.cnki.0468-155x.2025.06.001
基于粒子滤波的河道含沙量数据同化及参数校正研究
Data assimilation of suspended sediment concentration in open channels and model parameters updating based on Particle Filter
摘要
Abstract
It is of great importance to improve the accuracy of the suspended sediment concentration(SSC)estimated by the sediment transport model in open channels.Is this study,the Particle Filter(PF)is em-ployed to combine a one-dimensional sediment transport model with observations to develop a data assimilation system to improve the estimation of the SSC.When the observed SSC becomes available,the model state vari-able SSC will be updated and the three model parameters,saturation recovery coefficient α,the coefficient k and exponent m in the sediment carrying capacity formula,will be corrected according to the PF theory.The developed SSC data assimilation system is applied to the event of water and sediment regulation in the reach from Xiaolangdi to Jiahetan of the Lower Yellow River to evaluate its performance.The results show that the accuracy of SSC simulated by the sediment transport model is improved significantly after the PF assimilation with updating model states and correcting parameters simultaneously.关键词
水沙模型/含沙量/恢复饱和系数/挟沙力公式参数/数据同化/粒子滤波Key words
water and sediment transport model/sediment concentration/saturation recovery coefficient/pa-rameters in sediment carrying capacity formula/data assimilation/Particle Filter分类
建筑与水利引用本文复制引用
徐兴亚,赖瑞勋,黄磊,何国建,夏军强,方红卫..基于粒子滤波的河道含沙量数据同化及参数校正研究[J].泥沙研究,2025,50(6):1-8,8.基金项目
中国长江三峡集团有限公司科研项目(NBWL202300014) （NBWL202300014）
中央级公益性科研院所基本科研业务专项(HKY-JBYW-2023-12,HKY-JBYW-2024-03) （HKY-JBYW-2023-12,HKY-JBYW-2024-03）
