摘要
针对水文概念性模型参数率定复杂且模型专业性强,应用传统的人工试错方法寻找最优参数组合时工作量大、耗时长、成本高,提出了一种新型的启发式算法调和算法,实现了对一维水箱模型的参数自动率定,并运用该算法对闽江流域邵武站历年径流量进行了数值模拟。结果表明,该算法自动率定水文模型参数效率很高,获得的年径流量模拟结果较好。
Parameter estimation of conceptual hydrologic model is complex and requires strong expertise. Uahbration ol model parameters hy traditional artificial trial error method requires long time, much effort, and high cost. This paper proposes a new meta heuristic algorithms, i.e. Harmony Search （HS）, to optimize parameters of one dimensional tank model. History annual runoff of Shaowu Hydrologic Station in Minjiang Basin is simulated by the HS. Numerical results reveal that HS is a powerful search algorithm for hydrologic model parameters and can gain good simulation re.suit for annual runoff.
出处
《水电能源科学》
北大核心
2010年第4期19-21,共3页
Water Resources and Power
关键词
一维水箱模型
参数自动率定
调和算法
目标函数
年径流量模拟
one dimensional tank model
parameter automatic calibration
Harmony Search
objective function
annual runoff simulation
