Quantifying Nutrient Assimilation in Activated Sludge
A global sensitivity analysis was conducted with the Monte Carlo method to identify the most sensitive model parameters and input variables. The nutrient content of the unbiodegradable mixed liquor fractions emerged as the most sensitive parameters and were calibrated using databases and some assumptions. Most of the remaining variability of nutrient assimilation then comes down to four variables (three influent concentration ratios and SRT), which were used to prepare charts to predict assimilation in design and operation. For an SRT of 20 days, it is proposed to update the typical empirical BOD5:N:P ratio from 100:5:1 to 100:5.7:1.4.
Keywords: Monte Carlo simulation; activated sludge model (ASM); aluminum; assimilation; design; influent characteristics; mixed liquor nutrient content; municipal wastewater; nutrient removal; sensitivity analysis
Document Type: Research Article
Publication date: 2010-01-01
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