水利学报2017，Vol.48Issue(2)：157-167,11.DOI:10.13243/j.cnki.slxb.20160212
基于数据同化校正参数的河流磷迁移估计研究
Estimation of phosphorus transport in rivers with parameters updating based on data assimilation
摘要
Abstract
It is of great importance to enhance the numerical phosphorus transport models to estimate the temporal and spatial distribution of phosphorus in rivers in order to prevent and control eutrophication and algal blooms in water environment.Data assimilation is a new technology to combine the numerical modelling with observation,which is able to improve the accuracy of model output by incorporating the observations into numerical model to update the model states and correct the model parameters.In this study,Particle Filter (PF),a sequential Monte Carlo data assimilation algorithm,is employed to combine the numerical hydrodynamic-sediment-phosphorus model with phosphorus observations to develop a data assimilation system to improve the estimation of phosphorus concentration in rivers.When the phosphorus observation becomes available,the model state variable,phosphorus concentration,will be updated and the model parameter,partition coefficient Kd,will be corrected according to the PF theory.The developed data assimilation system is applied to the Changjiang River segment from Cuntan to Three Gorges Dam to evaluate its performance of estimating phosphorus transport in a real event.The results show that the developed data assimilation system can update phosphorus concentrations and correct Kd effectively and dynamically at the assimilation time.After assimilation,the accuracy of estimation of phosphorus transport can be enhanced significantly due to the effect of assimilation,indicating the developed data assimilation system has a good performance in the real event.关键词
河流泥沙/磷迁移/粒子滤波/数据同化/物联网Key words
river sediment/phosphorus transport/particle filter/data assimilation/Internet of things分类
资源环境引用本文复制引用
徐兴亚,方红卫,黄磊,赖瑞勋,刘晓波..基于数据同化校正参数的河流磷迁移估计研究[J].水利学报,2017,48(2):157-167,11.基金项目
国家自然科学基金项目(51209230 （）
11372161) （）
