摘要
SBR工艺出水浓度受进水浓度(COD、NH3-N)及曝气时间等因素的影响,这些影响之间存在着一定的多层相关性。尝试从统计学角度用偏线性最小二乘法对SBR系统进行描述性分析,建立数学模型,对SBR系统进行解释性描述。在对SBR工艺工况进行充分的观察和认识,对其要素内在联系进行辨识和深入分析的基础上,对SBR出水浓度作出预测。
Many factors, such as the inflow COD, NH3 - N concentration, oxygen charge time, work on the effluent concentration from SBR. There axe complex correlations among those factors. This paper tries to de.script and analyze SBR by" Partial Least - squares Regression(PLS) in Multivariate Statistical Analysis, and establishing math model to explain SBR. Through carefully observation and cognition on SBR, and analyzing its inner correlations, this paper forecasts its effluent concentration.
出处
《新疆环境保护》
2006年第2期6-10,共5页
Environmental Protection of Xinjiang
关键词
偏最小二乘法
SBR
污水
Partial Least - squares Regression
SBR
wastewater