基于灰熵法的SBR短程硝化影响因素分析

目的研究控制短程硝化的影响因素，使亚硝态氮积累率提高．方法通过计算曝气频率、溶解氧质量浓度ρ（DO）、pH、温度与亚硝态氮积累率灰熵关联系数判别影响顺序及最适范围．结果灰熵度的大小及操作因素的影响顺序分别为：pH（0．9956）〉反应温度（0．9927）〉反应时间（0．9900）〉ρ（DO）（0．9823）〉曝气频率（0．9822）．pH、温度、系统运行时间、溶解氧质量浓度、曝气频率的最佳范围分别为7．3～7．6、26～27℃、6～7d、1mg／L及15～30min时可以有效提高系统的亚硝化率．结论灰熵法可以区别出关键因素的最优范围，为短程硝化应用优化提供帮助．

Analysis of Influence Factor on the Short-Cut Nitrification by Grey Correlation Entropy Method

The influence factors on short-cut nitrification were studied in order to increase the nitrite accumulation efficiency. The influence order and optimal scope of factors were determined by grey correlation entropy calculation of nitrite accumulate rate with aeration frequency ,ρ （DO）, pH and temperature. Results show that the influence order and the corresponding grey entropy relational grade are pH （0. 995 6） 〉 temperature （0. 992 7 ） 〉 aeration time （0. 990 0 ） 〉 ρ（ DO ） （ 0. 982 3 ） 〉 aeration frequency （ 0. 982 2 ）, respectively. When optimal scopes of pH, temperature ,reaction time ,p （DO）and aeration frequency are 7.3 -7.6,26 27,6 -7 d, 1 mg/L and 15 -30 min, the nitrite accumulation can be increased effectively. It indicates that u- sing the grey correlation entropy method, the optimal range of the key factors can be identified, which is a- vailable for optimizing of short-cut nitrification application.