水利水电科技进展2026，Vol.46Issue(3)：37-41,101,6.DOI:10.3880/j.issn.1006-7647.2026.03.005
河流水质变分数据同化研究
Research on variational data assimilation for river water quality modelling
摘要
Abstract
Given the increasing abundance of water quality monitoring data,this study develops a variational data assimilation model for one-dimensional unsteady river water quality simulation based on the optimal control theory of partial differential equations,with the goal of improving the accuracy of river water quality simulation and prediction.Twin numerical experiments are conducted using the water quality decay coefficient,initial conditions,upstream boundary conditions,and river pollutant load processes as control variables.The results indicate that the model can extract useful information from observations,rapidly correct the control variables,and identify spatially distributed water quality decay coefficients,initial conditions,upstream boundary conditions,and river pollutant load processes,thereby enabling model predictions to approach the actual water quality dynamics of the river.关键词
水质模拟/河网/变分法/数据同化/数学模型Key words
water quality modelling/river network/variational method/data assimilation/mathematical model引用本文复制引用
徐健,赖锡军..河流水质变分数据同化研究[J].水利水电科技进展,2026,46(3):37-41,101,6.基金项目
国家重点研发计划项目(2024YFC3211700) （2024YFC3211700）
