2011
DOI: 10.2166/wst.2011.412
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Shall we upgrade one-dimensional secondary settler models used in WWTP simulators? – An assessment of model structure uncertainty and its propagation

Abstract: In WWTP models, the accurate assessment of solids inventory in bioreactors equipped with solid-liquid separators, mostly described using one-dimensional (1-D) secondary settling tank (SST) models, is the most fundamental requirement of any calibration procedure. Scientific knowledge on characterising particulate organics in wastewater and on bacteria growth is well-established, whereas 1-D SST models and their impact on biomass concentration predictions are still poorly understood. A rigorous assessment of two… Show more

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Cited by 32 publications
(16 citation statements)
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“…The proper assessment of prior parameter uncertainties is significant for the subsequent analysis steps, but usually difficult and laborious. The hindered settling parameters (v 0 , r h ) are well reported in previous studies (Pl osz et al, 2011;Ramin et al, 2014a), while the compression parameters (C g , a, b) remain poorly understood. Table 2 gives the parameter uncertainties used in this study, which are reasonably estimated based on literature reviews and modeling experience.…”
Section: Experimental Layoutssupporting
confidence: 56%
“…The proper assessment of prior parameter uncertainties is significant for the subsequent analysis steps, but usually difficult and laborious. The hindered settling parameters (v 0 , r h ) are well reported in previous studies (Pl osz et al, 2011;Ramin et al, 2014a), while the compression parameters (C g , a, b) remain poorly understood. Table 2 gives the parameter uncertainties used in this study, which are reasonably estimated based on literature reviews and modeling experience.…”
Section: Experimental Layoutssupporting
confidence: 56%
“…To calibrate the selected settling velocity models (presented in section 3.1) to the settling measurements, they were implemented in a dynamic 1-D model of the settling column (Pl osz et al, , 2011. For calibration, the adaptive Markov Chain Monte Carlo (MCMC) Bayesian global optimization method DREAM (ZS) (Laloy and Vrugt, 2012) was used.…”
Section: Calibration Of the Settling Velocity Modelsmentioning
confidence: 99%
“…The thickening and clarification efficiency of SSTs is significantly influenced by hydraulic disturbances during wet-weather flow conditions. This is of particular concern due to the increasing frequency of hydraulic shock-loads from urban run-offs to WWTPs associated with the effect of climate change on peak rainfall intensities (Larsen et al, 2009;Pl osz et al, 2009). When examining SSTs performance, it is important to consider the non-Newtonian (rheological) and settling behaviour of activated sludge because they have significant impacts on the overall transport and removal of solids (Ekama et al, 1997;Lakehal et al, 1999;De Clercq, 2003).…”
Section: Introductionmentioning
confidence: 99%
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“…Secondary clarifiers are mostly modeled using a 0-D approach (clarifier acts as ideal splitter of flow and solids) or a 1-D flux based approach, such as the 10 layer model proposed by Takács et al (1991), describing the hydrodynamic behavior in 1 dimension and its interaction with the flocs that are settling (Plósz et al, 2012). However, the Takacs model is also not capable of dealing with extreme events (Plósz et al, 2011). An alternative could be the consistent modeling methodology (CMM) introduced by Bürger et al (2011), although a combined model of conversion and clarification-thickening processes using the CMM in a secondary settling tank still needs to be developed.…”
Section: Added Value Of Data Based Climate Change Impact Analysismentioning
confidence: 99%