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Parameter Estimation In Biokinetic Degradation Models In Wastewater Treatment-a Novel Approach Relevant For Micropollutant Removal

机译:废水生物动力学降解模型中的参数估计-一种与微污染物去除相关的新方法

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摘要

In this paper a novel methodology for estimating the parameters for an extended biokinetic model (Peev, Schonerklee, and De Wever, Water Science and Technology, 2004) of micropollutant removal in wastewater treatment is presented. In particular, the work concentrates on parameter estimation of the micropollutant degradation sub-model by specialised microorganisms in the case when only substrate measurement data are available. We have proven the structural identifiability of the model and have developed a new approach allowing practical identifiability on the basis of multiple substrate degradation curves with different initial concentrations. Experimental and related numerical methods for unambiguous parameter estimation have been developed. Finally, by means of simulated pseudo-experiments we have found convincing indications that the proposed algorithm is stable and yields appropriate parameter estimates even in unfavourable regimes.
机译:在本文中,提出了一种用于估算废水处理中微污染物去除的扩展生物动力学模型(Peev,Schonerklee和De Wever,水科学与技术,2004年)的参数的新颖方法。特别地,在仅可获得底物测量数据的情况下,工作着重于通过专用微生物对微污染物降解子模型的参数估计。我们已经证明了该模型的结构可识别性,并且已经开发出一种新方法,该方法可以在具有不同初始浓度的多种底物降解曲线的基础上实现实际可识别性。已经开发出用于明确参数估计的实验方法和相关数值方法。最后,通过模拟的伪实验,我们已经令人信服地表明,所提出的算法是稳定的,即使在不利的情况下也能产生适当的参数估计。

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