2015
DOI: 10.2166/9781780402369
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Activated Sludge Models ASM1, ASM2, ASM2d and ASM3

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Cited by 795 publications
(1,006 citation statements)
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References 1 publication
(1 reference statement)
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“…The physical sub-model describes the key processes occurring during membrane physical separation, including membrane fouling (involving 6 model factors and 2 state variables). Regarding, the biological sub-models they are based both on the ASM2d and they include the SMP formation/degradation processes (Jiang et al 2008;Henze et al 2000). Furthermore, both models take into account CO 2 as state variable according to the continuity-based model interface as proposed by Vanrolleghem et al (2005).…”
Section: Mathematical Models Descriptionmentioning
confidence: 99%
“…The physical sub-model describes the key processes occurring during membrane physical separation, including membrane fouling (involving 6 model factors and 2 state variables). Regarding, the biological sub-models they are based both on the ASM2d and they include the SMP formation/degradation processes (Jiang et al 2008;Henze et al 2000). Furthermore, both models take into account CO 2 as state variable according to the continuity-based model interface as proposed by Vanrolleghem et al (2005).…”
Section: Mathematical Models Descriptionmentioning
confidence: 99%
“…The model is a simplified scheme of ASM2 (Activeted sludge model 2) [11,12], which supplemented by the microalgae description that is similar to [13]. Succinct description of the processes allows using model as a basis for an automatic control system.…”
Section: Model Of Growth Of Microalgaementioning
confidence: 99%
“…Two biokinetic model formulations are implemented in the HY-DRUS Wetland Module: CW2D (Langergraber and Ć imĆŻnek, 2005) that describes aerobic and anoxic processes and is mostly used for simulating VF wetlands and CWM1 (Langergraber et al, 2009a) that additionally describes anaerobic processes and is also applicable for HF wetlands. Their mathematical formulation is based on the IWA Activated Sludge Models (Henze et al, 2000).…”
Section: Introductionmentioning
confidence: 99%