Department of Civil & Environmental Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, PR China.
Water Res. 2012 Feb 1;46(2):475-90. doi: 10.1016/j.watres.2011.11.031. Epub 2011 Nov 18.
A steady state model was developed for evaluating the sulfur cycle based SANI(®) process. The model comprises: 1) a COD-based anaerobic hydrolysis kinetics model to determine removal of biodegradable COD and sulfate under different hydraulic retention time (HRT) and sludge retention time (SRT), 2) an element (C, H, O, N, P, S), COD and charge mass balanced stoichiometric part for prediction of the concentrations of alkalinity (H(2)CO(3)(*) alkalinity + H(2)S alkalinity), COD, sulfate, sulfide, nitrate and free saline ammonia in anaerobic sulfate reduction, anoxic autotrophic denitrification and aerobic autotrophic nitrification, and 3) an inorganic carbon (HCO(3)(-)) and sulfide (H(2)S/HS(-)) mixed weak acid/base chemistry part for pH prediction. Through characterization of the sewage organic matter and determination of the anaerobic hydrolysis kinetic rate and other relevant parameters, the steady state model was calibrated to a pilot plant for the SANI(®) process. The model predictions agreed well with the experimental data of the pilot-scale trial, demonstrating that the model developed from this study can explain the causes and conditions for the different bioprocesses and minimal sludge production in the SANI(®) process.
建立了一个稳态模型来评估基于硫循环的 SANI（®）工艺。该模型包括：1）基于 COD 的厌氧水解动力学模型，用于确定在不同水力停留时间（HRT）和污泥停留时间（SRT）下可生物降解 COD 和硫酸盐的去除，2）一个元素（C、H、O、N、P、S）、COD 和电荷质量平衡的化学计量部分，用于预测厌氧硫酸盐还原、缺氧自养反硝化和有氧自养硝化过程中的碱度（H2CO3（*）碱度+H2S 碱度）、COD、硫酸盐、硫化物、硝酸盐和游离盐水氨的浓度，3）无机碳（HCO3（-））和硫化物（H2S/HS（-））混合弱酸/碱化学部分，用于预测 pH 值。通过对污水中有机物的特性进行分析，并确定厌氧水解动力学速率和其他相关参数，对该稳态模型进行了校准，以适应 SANI（®）工艺的中试规模。模型预测与中试试验的实验数据吻合良好，表明本研究中开发的模型可以解释 SANI（®）工艺中不同生物工艺和最小污泥产量的原因和条件。
