Integrated modelling of sewer system and wastewater treatment plant for investigating the impacts of chemical dosing in sewers

Sharma, Keshab; Corrie, Shaun; Yuan, Zhiguo

doi:10.2166/wst.2012.019

Cited by 21 publications

(9 citation statements)

References 1 publication

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“…Even though many engineers rely on ASM to characterize bioreactors properties and design 11 , there is active research to introduce additional levels of detail 12 . Some of the limitations of ASM are due to oversimplified model representation (functional groups) and parameterization 13 .…”

Section: Mathematical Models In Environmental Biotechnologymentioning

confidence: 99%

Towards Predictive Models of the Human Gut Microbiome

Bucci

Xavier

2014

Journal of Molecular Biology

110

106

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The intestinal microbiota is an ecosystem susceptible to external perturbations such as dietary changes and antibiotic therapies. Mathematical models of microbial communities could be of great value in the rational design of microbiota-tailoring diets and therapies. Here, we discuss how advances in another field, engineering of microbial communities for wastewater treatment bioreactors, could inspire development of mechanistic mathematical models of the gut microbiota. We review the current state-of-the-art in bioreactor modeling and current efforts in modeling the intestinal microbiota. Mathematical modeling could benefit greatly from the deluge of data emerging from metagenomic studies, but data-driven approaches such as network inference that aim to predict microbiome dynamics without explicit mechanistic knowledge seem better suited to model these data. Finally, we discuss how the integration of microbiome shotgun sequencing and metabolic modeling approaches such as flux balance analysis may fulfill the promise of a mechanistic model of the intestinal microbiota.

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Section: Mathematical Models In Environmental Biotechnologymentioning

confidence: 99%

Towards Predictive Models of the Human Gut Microbiome

Bucci

Xavier

2014

Journal of Molecular Biology

110

106

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“…Examples of integrated sewer and WWTP modelling can be found in Sharma et al (2012) and an initial combined benchmarking study connecting the sewer model with BSM2 was performed by Guo et al (2012). The importance of the sewer system and processes in the receiving waters were recognised by the Task Group but including these complicating factors in the original BSMs was deemed to be beyond the Task Group's scope.…”

Section: Spatial Extensionsmentioning

confidence: 99%

Benchmarking of Control Strategies for Wastewater Treatment Plants

Gernaey¹,

Jeppsson

Vanrolleghem

et al. 2014

116

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“…Recently, some researchers were devoted to studying the reduction of methane in sewers, mainly using chemicals, such as ferric iron (Zhang et al 2009 ), nitrate (Jiang et al 2013 ) and oxygen injection (Ganigue and Yuan 2014 ). Although most of these chemicals can inhibit methane production in sewers effectively, they were usually costly and accompanied by some additional problems to subsequent treatment such as increased sludge (Ganigue et al 2011 ; Sharma et al 2012 ). Methane can be formed in sewers as a result of methanogenic archaea (MA) metabolism (Guisasola et al 2008 ).…”

Section: Introductionmentioning

confidence: 99%

Modeling of methane formation in gravity sewer system: the impact of microorganism and hydraulic condition

Hong

Yang

et al. 2018

AMB Expr

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Sewer system is an important source of methane formation and emission. Although some models were developed to predict methane production in sewers, the impact of microorganism amount was indicated indirectly. Here, seven laboratory scale sewers with varied wall-shear stresses were established. The biofilm thickness, microorganism amount, DO distribution, microorganism community in the biofilms and methane production in the sewers were measured. Based on experimental data, an empirical model was developed to directly describe the relationship between methane production, microorganism amount and wall-shear stress. The results showed that DO concentration decreased significantly along the biofilm depth under varied wall-shear stress, and the DO reduction rate was positively related to the intensity of wall-shear stress. The dominant archaea species in mature biofilms were similar whereas the proportions showed remarkable differences. The abundance of Methanospirillum in biofilms cultured at 2.0 Pa wall-shear stress was 53.08% more than that at 1.29 Pa. The maximum methane production rate, 2.04 mg/L wastewater day, was obtained when the wall-shear stress kept at 1.45 Pa, which was 1.2-fold higher than the minimum in sewer at 0.5 Pa. The R2 value of the established model was 0.95, the difference between the measurement and simulation was in the rage of 1.5–13.0%.

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Integrated modelling of sewer system and wastewater treatment plant for investigating the impacts of chemical dosing in sewers

Cited by 21 publications

References 1 publication

Towards Predictive Models of the Human Gut Microbiome

Towards Predictive Models of the Human Gut Microbiome

Benchmarking of Control Strategies for Wastewater Treatment Plants

Modeling of methane formation in gravity sewer system: the impact of microorganism and hydraulic condition

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