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首页> 外文期刊>Fresenius environmental bulletin >PSO-BASED PARAMETRIC ANALYSIS OF SLOWLY BIODEGRADABLE COD KINETICS
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PSO-BASED PARAMETRIC ANALYSIS OF SLOWLY BIODEGRADABLE COD KINETICS

机译:基于PSO的缓​​慢生物可降解COD动力学参数分析

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摘要

This paper considers the degradation kinetics of activated sludge models (ASM2), and in particular the vital components of slowly biodegradable chemical oxygen demand (SBCOD, XS). In terms of micro-organic growth and metabolism, knowledge on the degradation kinetics process of XS is necessary for optimization of the control measures for wastewater treatment plants (WWTPs). Using a particle-swarm optimization (PSO) algorithm, an analytic methodology was developed for two parameters— the half-saturation constant (KX) in the XS-component degradation kinetics and the hydrolysis rate (kh). This methodology was applied to samples taken from a WWTP in Chongqing (China). The organic aerobic degradation was measured using a previously developed hybrid respirometer. The analytic results demonstrate that, under a similar external environment, the method gives parameter values different to the defaults used in the ASM2. This will enable a practical response to the problems of optimizing and controlling WWTP.
机译:本文考虑了活性污泥模型(ASM2)的降解动力学,尤其是生物可缓慢降解的化学需氧量(SBCOD,XS)的重要组成部分。在微生物的生长和代谢方面,XS降解动力学过程的知识对于优化废水处理厂(WWTP)的控制措施是必要的。使用粒子群优化(PSO)算法,针对两个参数开发了一种分析方法-XS组分降解动力学中的半饱和常数(KX)和水解速率(kh)。该方法适用于从重庆(中国)的污水处理厂采集的样本。使用之前开发的混合呼吸计测量有机需氧降解。分析结果表明,在类似的外部环境下,该方法提供的参数值与ASM2中使用的默认值不同。这将对优化和控制污水处理厂的问题做出切实的回应。

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