摘要
利用太湖常规监测点的监测资料,在黎曼近似解模型的基础上建立了太湖二维藻类生长模型.该模型采用有限体积法及黎曼近似解对二维水流水质方程组逐时段、逐单元进行求解,将每个时段各个单元ρ(TN)及ρ(TP)的模拟值传递到藻类的生长项,从而模拟出藻类的生长过程.率定验证结果表明,该模型能较好地模拟藻类的生长过程,并能对太湖水体富营养化进行预测.
According to the monitoring data from conventional monitoring points of the Taihu Lake, a 2-D model for algae growth in the lake was developed based on the Riemann approximate solution model. In this model, the finite volume method and Riemann approximate solution were adopted to solve the 2-D water flow and water quality equations grid by grid for each time series, and the simulated results of ρ(TN) and ρ(TP) were transmitted to the growth term of algae. In this way, the process of algae growth was simulated. The comparison of the simulated results with the monitoring data shows that the Riemann approximate solution model can effectively simulate the growth process of algae and thus, forecast the eutriphication of the Taihu Lake.
出处
《河海大学学报（自然科学版）》
CAS
CSCD
北大核心
2005年第1期41-44,共4页
Journal of Hohai University(Natural Sciences)
基金
国家自然科学基金重点资助项目(50239030)
江苏省自然科学基金资助项目(BK2002067)
关键词
太湖
黎曼近似解模型
藻类生长
浓度场
Taihu
Riemann approximate solution model
algae growth
field of concentration
