Abstract
Abstract Chemical coagulation can be used to improve the efficiency of a primary wastewater treatment plant. Using statistical and fuzzy mathematical techniques, models of this process were developed from data gathered at a plant which was using liquid alum and a polymeric coagulant aid to reduce its primary effluent strength. Mathematical simulation of on-line process control using these models and fixed and variable chemical feed rate regimes were conducted using “typical day” influent strength and flow rate data. The results of these simulations show that on-line process control with a variable feed regime adjusted on the basis of current and projected conditions would generally provide a more effective use of chemicals than a fixed feed rate regime. Only at higher target efficiencies did the fixed feed rate regime approach the effectiveness of the variable fixed rate regime.
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