摘要
采用Preissmann四点隐式差分对一维动力学模型中圣维南方程组进行时间和空间离散,并结合Kalman滤波理论,建立以观测变量为状态向量的自适应实时校正模型。该模型在淮河中游的应用表明,相比于不使用实时校正模型,其预报的水位、流量精度更高。
The Preissmann s four-point implicit difference method is applied to discretize the Saint Venant s equations in the one-dimensional dynamic model in time and space,and combined with Kalman filtering theory,an adaptive real-time correction model with observed variables as state vectors is established.The application of the model in the middle reaches of Huaihe River shows that the accuracies of water level and discharge prediction are higher than that without real-time correction.
作者
王莉莉
包红军
李致家
WANG Lili;BAO Hongjun;LI Zhijia(National Meteorological Center,China Meteorological Administration,Beijing 100081,China;CMA-HHU Joint Laboratory for Hydrometeorological Studies,Beijing 100081,China;College of Hydrology and Water Recourses,Hohai University,Nanjing 210098,Jiangsu,China)
出处
《水力发电》
北大核心
2020年第8期24-26,47,共4页
Water Power
基金
国家重点研发计划(2018YFC1508102、2016YFC040-2702)
国家自然科学基金资助项目(41775111、41875131)
国家气象中心2019年现代化项目(QXXDH201912)
国家气象中心水文气象预报团队项目共同资助.
