Single-Sludge Nitrogen Removal Model: Calibration and Verification

Argaman, Yerachmiel; Papkov, G.I.; Ostfeld, Avi; Rubin, D.B.

doi:10.1061/(asce)0733-9372(1999)125:7(608)

Cited by 11 publications

(3 citation statements)

References 17 publications

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“…In particular, the models aimed at removing organic and nitrogen substrates can be divided into two groups, according to the number of substrates taken into account: three for the first group (dissolved biodegradable organic matter, oxidized and reduced nitrogen compounds) and four for the second group (the previous three and suspended biodegradable organic matter). The first group includes the models proposed by Beccari et al (1980), Argaman (1981) and Di Pinto et al (1990), while the models developed by Ekama and Marais (1984), Argaman (1995), Orhon et al (1998) and Argaman et al (1999) fall into the second group.…”

Section: Literature Reviewmentioning

confidence: 98%

“…As previously noted, the choice of the latter concentration as one of the system input parameters, without any indication on how to fix it, does not appear appropriate for a design model. The model was slightly modified and upgraded by Argaman et al (1999), with particular respect to the biodegradable organic matter removal kinetics, the evaluation of the active biomass concentration and the presence of the heterotrophic biomass in the influent flow.…”

Section: Literature Reviewmentioning

confidence: 99%

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The Proper Size of Activated Sludge Systems as a Function of the Required Performances

Esposito¹,

Fabbricino²,

Pirozzi³

2007

proc water environ fed

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A new procedure for sizing the biological reactors and the final settling of single sludge systems aimed at nitrogen degradation is proposed. Both combined nitrification and pre-denitrification systems are considered. The procedure is innovative as it is able to give the proper size of the treatment phases as a function of the required performances. A steady-state model taking into account both suspended and dissolved substrates is developed for the biological phases, while the limiting solid flux theory is assumed for the design of the settling phase. A relationship correlating the two phases is obtained expressing opportunely the sludge recycle and waste flow rates, without recourse to any empirical parameter. The combined nitrification model includes three substrates (soluble and particulate biodegradable organic matter and ammonia nitrogen) and gives an explicit expression of the biological reactor volume if both the influent flow composition and the kinetic parameters are known and the effluent nitrogen concentrations are fixed. The pre-denitrification model considers four substrates (the above cited and the nitrate nitrogen) and makes it possible to define the applicability of the system and to express in explicit terms the biological reactor volumes, as in the previous case. Applications of the biological and settling models show: i) a relevant effect of the influent flow rate, the organic and nitrogen load and the desired effluent characteristics on the size of the treatment system; ii) an important influence of the maximum ammonia nitrogen removal rate and the ratio between the decay rates of heterotrophic and autotrophic biomass on the nitrification reactor volume and iii) an underestimation of the denitrification reactor volume when zero order in stead of MichaelisMenten type denitrification kinetics are used.

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Section: Literature Reviewmentioning

confidence: 98%

Section: Literature Reviewmentioning

confidence: 99%

The Proper Size of Activated Sludge Systems as a Function of the Required Performances

Esposito¹,

Fabbricino²,

Pirozzi³

2007

proc water environ fed

View full text Add to dashboard Cite

show abstract

“…In design practice, the volumes of the biological reactors are typically calculated by means of empirical parameters, such as the sludge retention time (SRT) or the organic load factor (F/M) [6]. Mathematical models are sometimes applied as well [7][8][9][10][11][12][13][14][15]. Almost all these models are based on the SRT, following the approach firstly proposed by Lawrence and…”

mentioning

confidence: 99%

Mathematical Model for Sizing Combined Nitrification and Pre-denitrification Activated Sludge Systems

Esposito

Fabbricino²,

Lens³

et al. 2007

Environmental Technology

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Two mathematical steady-state models for sizing single activated sludge systems aimed at nitrogen and organics removal from wastewater are proposed. The attention is focused on the combined nitrification system and the pre-denitrification system, considering three (soluble and particulate biodegradable organic matter and ammonia nitrogen) and four (the above cited and nitrate nitrogen) substrates, respectively. Growth and decay of two groups of bacteria (heterotrophic and autotrophic) are taken into account. If the influent flow composition and the kinetic parameters are known and the effluent nitrogen concentration is fixed, both models give explicit expressions of the volumes of the biological reactors. Moreover, the pre-denitrification model makes it possible to define a priori the applicability of the system for a particular wastewater. Model applications show that the nitrification reactor volume increases in the case of a higher influent organic load or to achieve a higher nitrogen ammonia removal efficiency. A smaller denitrification volume is required to face a higher influent organic load. A sensitivity analysis on the kinetic parameters shows an important influence of the maximum ammonia nitrogen removal rate and the ratio between the decay rates of heterotrophic and autotrophic biomass on the nitrification reactor volume.

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Statistical Distributions of Uncertainty and Variability in Activated Sludge Model Parameters

Cox¹

2004

Water Environment Research

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All models used in activated sludge design and analysis use parameters to characterize process performance. The values of these parameters are often assumed based on default values recommended in the literature, but to date, no quantitative estimates of the parameter uncertainties have been published. Similarly, little attention has been given to quantifying site‐specific parameter variability, even though its occurrence has been observed several times in the literature. In this paper, universal uncertainty distributions of the model parameters from Activated Sludge Model No. 1 are developed from a database of parameter values reported in the literature using Bayesian statistics. Site‐specific distributions of parameter variability were developed using the same techniques. All parameter distributions developed demonstrated that significant uncertainty and variability exist, which could lead to overdesign or plant failure if not considered during the design process.

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Single-Sludge Nitrogen Removal Model: Calibration and Verification

Cited by 11 publications

References 17 publications

The Proper Size of Activated Sludge Systems as a Function of the Required Performances

The Proper Size of Activated Sludge Systems as a Function of the Required Performances

Mathematical Model for Sizing Combined Nitrification and Pre-denitrification Activated Sludge Systems

Statistical Distributions of Uncertainty and Variability in Activated Sludge Model Parameters

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