摘要
用多宾斯－ＢＯＤ－ＤＯ（Ｄｏｂｂｉｎｓ－ＢＯＤ－ＤＯ）水质模型，生成真实的无干扰和有干扰的仿真水质数据。在此基础上，用绘制目标函数响应面的方法，分析水质监测数据中的随机噪声对水质模型参数最优估值的影响。分析结果表明，随机噪声干扰使最优估计参数＂漂离＂系统真实参数，并增加最优估计参数的不唯一性问题。
he Dobbins-BOD-DO water quality model was used to generate synthetic error-free water quality data; and random errors were then introduced into them. Based on these data the random errors' effects on the optimized parameters in the water quality model were analysed with response surfaces for objective function. The results show that the random errors'drift'the optimized parameters away from their true values and increase the parameters' non-unity problem.
出处
《中国环境科学》
EI
CAS
CSSCI
CSCD
北大核心
1995年第5期333-337,共5页
China Environmental Science
基金
国家自然科学基金
