Kinetics of Removal of Particulate Cod in the Activated Sludge Process

Jiménez, José; Motta, Enrique J. La; Parker, Denny

doi:10.2175/193864703784755823

Cited by 7 publications

(20 citation statements)

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“…Details of the pilot plant and experimental methods not described herein are given in Jimenez et al (2004).…”

Section: Secondary Clarifiermentioning

confidence: 99%

“…Previous experiments conducted by Jimenez et al (2004) demonstrated that an HRT between 30 and 60 minutes (min) leads to optimum flocculation conditions in the aeration tank. The MLVSS and SRT were varied to observe their effect on EPS production, and then to observe the relationship between EPS and bioflocculation performance.…”

Section: Effect Of Solids Retention Time (Srt) and Mlvss On Biofloccumentioning

confidence: 99%

“…A significant fraction of the organic matter discharged from these systems is in the form of particles, suspended solids and colloidal material. The removal of particulate material in the aeration basin of the activated sludge process is mainly attributed to bioflocculation and hydrolysis of particulate substrate (Jimenez et al, 2004). This paper will focus only on the bioflocculation of particles in the aeration basin of the activated sludge process.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Henze et al (2002) state that the particles of the wastewater are quickly absorbed to the activated sludge flocs so that a model description of this adsorption will not be necessary even in a high rate BOD process preceding a second state nitrification step. Jimenez et al (2004) presented and demonstrated a first-order kinetic expression to describe the removal of particulate material by bioflocculation in the aeration basin of the activated sludge plant. The form of the first-order biological flocculation rate expression is as given by Equation 1:…”

Section: Introductionmentioning

confidence: 99%

“…However, some factors affecting activated sludge flocculation include solids retention time (SRT) (Parker et al, 1970, Chao and Keinath, 1979, and, Parker, 1983, MLSS concentration (Chapman 1983), dissolved oxygen (DO) level (Starkey and Karr, 1984;Wilen andBalmer, 1998, La Motta et al, 2003) and turbulence, measured as velocity gradient (G) (Parker et al, 1970, Parker, 1983, Das et al, 1993, La Motta et al, 2003, Jimenez et al, 2004. Jimenez et al (2004) showed the effect of G on the kinetics of bioflocculation and compared the bioflocculation removal rates for different particle sizes.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Operational Parameters on the Removal of Particulate Cod in the Activated Sludge Process

Jiménez¹,

Motta²,

Parker³

2004

proc water environ fed

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The removal of particulate material in the aeration basin of the activated sludge process is mainly attributed to bioflocculation and hydrolysis of particulate substrate. The bioflocculation process in the aeration tank of the activated sludge process occurs only under favorable conditions in the system and several common operational parameters affect its performance. The principal objective of this research was to observe the effect of MLSS, SRT and EPS on the removal of particulate substrate by bioflocculation. A first order particulate removal expression, based on flocculation, accurately described the removal rates for supernatant suspended solids and colloidal COD. Based on the results presented in this investigation, a mixed liquor concentration of approximately 2,200 mg/L, an SRT of at least 3 days and a contact time of 30 minutes are needed for relatively complete removal of the particulate substrate in a plug flow reactor.

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“…Details of the pilot plant and experimental methods not described herein are given in Jimenez et al (2004).…”

Section: Secondary Clarifiermentioning

confidence: 99%

Section: Effect Of Solids Retention Time (Srt) and Mlvss On Biofloccumentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Impact of Operational Parameters on the Removal of Particulate Cod in the Activated Sludge Process

Jiménez¹,

Motta²,

Parker³

2004

proc water environ fed

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Modification of natural zeolite and its application to advanced recovery of organic matter from an ultra-short-SRT activated sludge process effluent

Wang

Zhang

et al. 2019

Science of The Total Environment

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Modeling, Instrumentation, Automation, and Optimization of Wastewater Treatment Facilities

Sweeney¹,

Kabouris²

2001

Water Environment Research

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MODELING Mechanistic ModelsA review by Hu et al. (2003) of available activated sludge models led them to conclude that the most complete model was the Barker and Dold model and that the highly interactive nature of its processes, particularly with respect to the chemical oxygen demand (COD) loss mechanism, resulted in a non-unique identification of certain model parameters using the Wentzel et al. pilot scale data sets. Muller et al. (2003) validated the theoretical reduction of the anoxic yield to 79% of the aerobic yield value of 0.67 mgCOD/mgCOD, and noted that in updating the Activated Sludge Model 1 (ASM1) model parameters to reflect this change, the value of the hydrolysis reduction coefficient _ g should be adjusted to reflect the higher denitrification potential associated with the lower anoxic yield. The applicability to the ASM3 parameters was unclear. Jimenez et al. (2003) fitted pilot test data with a first order particulate COD removal rate, and concluded that flocculation of colloidal COD is slow and comparable to the removal rate of soluble COD and that flocculation of suspended solids is rapid but not instantaneous. Manga et al. (2003) used a modified version of ASM2, including the modeling of phosphate/glycogen accumulating organism (PAO/GAO) competition to model the data obtained at the anaerobic, anoxic, and aerobic compartments of a pilot scale modified University of Cape Town (UCT) process operated at solids residence times (SRTs) of 12, 14, and 16 days. Good agreement of effluent soluble P and nitrate-1437a N was obtained at the SRTs of 16 and 14 days, as opposed to the 12 day SRT. Copp et al. (2003) presented a state variable mapping between ASM1 and anaerobic digestion model 1 (ADM1) based on mass balance for COD and total Kjeldahl nitrogen (TKN) to facilitate the coupling of the two models. Fonseca et al. (2003) described a customized MS Excel interface to a plant's GPS-X TM simulator software that facilitated ease-of-use of the simulator by the plant operators by including a familiar description of the plant's processes, measurements and nomenclature and restricting access for modifying process model parameters. Using computational fluid dynamics (CFD) simulation, Vermande et al. (2003) obtained good agreement of the horizontal velocity profile along the length of an oxidation ditch bioreactor, in particular for velocity measurements near the ditch's bottom and near the water surface. Littleton et al. (2003) summarized the results of an investigation of simultaneous biological nutrient removal in Orbal TM processes and concluded that both the bioreactor macroenvironment and floc microenvironment are important factors in establishing a balance among the required nutrient removal microorganism populations. A full-scale extended aeration multi-loop bioreactor was modeled by Insel et al. (2003b) using ASM2d and 20 days of 15-minute measurements of flow rate and nutrient concentrations. They calibrated the inert particulate COD fraction of influent wastewater and 8 of the ASM2d parameters and...

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Kinetics of Removal of Particulate Cod in the Activated Sludge Process

Cited by 7 publications

References 0 publications

Impact of Operational Parameters on the Removal of Particulate Cod in the Activated Sludge Process

Impact of Operational Parameters on the Removal of Particulate Cod in the Activated Sludge Process

Modification of natural zeolite and its application to advanced recovery of organic matter from an ultra-short-SRT activated sludge process effluent

Modeling, Instrumentation, Automation, and Optimization of Wastewater Treatment Facilities

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