title: Use of pH as fuzzy control parameter for nitrification under different alkalinity in SBR process.
abstract: In order to achieve fuzzy control of nitrification in a Sequencing Batch Reactor (SBR) brewery wastewater was used as the substrate. The effect of alkalinity on pH variation during nitrification was systematically studied, at the same time the variations of DO and ORP were investigated. Alkalinity and pH of the wastewater were adjusted by adding sodium bicarbonate at five levels and sodium hydroxide at two levels. Unadjusted wastewater was also studied. According to the results, variation of pH could be divided into rising type and descending type. When bicarbonate alkalinity was deficient or sufficient, the descending type happened. If alkalinity was deficient, the pH decreasing rate got slower when nitrification nearly stopped; if alkalinity was sufficient, at the end of nitrification pH turned from decrease to increase. This was the most common situation and pH could be used to control the end of nitrification. When alkalinity was excessive, the rising type happened, pH was increasing at nearly a constant rate during and after nitrification and could not be used to control the nitrification time, but if the aeration rate was moderate DO could be used to control the nitrification time. This situation seldom happened. Therefore the variation of pH could not only be used to control the nitrification time but also to judge whether the alkalinity was enough or not. On the basis of this, the fuzzy controller of nitrification in SBR was constructed. When discussing the influence of pH on nitrification rate the composition and concentration of alkalinity must be considered or else the results may be incomprehensive. And to some extent the influence of alkalinity on nitrification rate was more important than pH.
authors.affiliation: College of Environmental and Energy Engineering, Beijing University of Technology, 100 Pingleyuan, Chaoyang District, Beijing 100022, China. brady009@sina.com
authors.forename: Y Z
authors.initials: YZ
authors.lastname: Peng
authors.forename: J F
authors.initials: JF
authors.lastname: Gao
authors.forename: S Y
authors.initials: SY
authors.lastname: Wang
authors.forename: M H
authors.initials: MH
authors.lastname: Sui
mesh_terms: D001331:Automation; D001515:Beer; D019149:Bioreactors; D017143:Fuzzy Logic; D006863:Hydrogen-Ion Concentration; D007220:Industrial Waste; D007700:Kinetics; D009584:Nitrogen / Q000302:isolation & purification / Q000378:metabolism; D014865:Waste Disposal, Fluid / Q000379:methods*; D018508:Water Purification / Q000379:methods*
chemical_list: D007220:Industrial Waste; D009584:Nitrogen