节点文献
基于粒子群算法的交互式水文模型参数率定
Interactive Parameters Calibration of Hydrology Model Based on Particle Swarm Optimization
【摘要】 以长江三峡水库寸滩、武隆入库径流预报项目为依托,研究洪水预报模型参数率定。针对以往洪水预报模型参数率定所采用的人工试错法率定参数困难、精度不高的问题,提出粒子群优化算法和交互式率定方法。实例计算表明,算法加快参数优选速度,交互式率定提高了模型预报精度。
【Abstract】 This paper is an attempt to do research on the parameter calibration of hydrology model by using the floodwater prediction at Cuntan and Wulong in Three Gorges Reservoir as the background.By reason of inefficient parameters calibration,a method based on particle swarm and interactive calculation is proposed.The application of this proposed model shows that it can accomplish parameter calibration rapidly and improve prediction accuracy,parameter calibration rapidly and find out the optimal solutions of parameters accurately.
【关键词】 洪水预报;
水箱模型;
参数优化;
粒子群算法;
【Key words】 run-off predicting; tank model; parameter calibration; particle swarm optimization;
【Key words】 run-off predicting; tank model; parameter calibration; particle swarm optimization;
【基金】 国家自然科学基金项目(40701024)
- 【文献出处】 中国农村水利水电 ,China Rural Water and Hydropower , 编辑部邮箱 ,2008年10期
- 【分类号】TV124
- 【被引频次】6
- 【下载频次】294