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Biodegradability and DenitrificationPotential of Settleable Chemical Oxygen
Demand in Domestic Wastewater
Didem Okutman Tas1*, Ozlem Karahan1, Guclu _Insel1, Suleyman Ovez1,Derin Orhon2, Henri Spanjers3
ABSTRACT: The effect of settling on mass balance and biodegradation
characteristics of domestic wastewater and on denitrification potential was
studied primarily using model calibration and evaluation of oxygen
uptake rate profiles. Raw domestic wastewater was settled for a period of
30 minutes and a period of 2 hours to assess the effect of primary settling on
wastewater characterization and composition. Mass balances in the system
were made to evaluate the effect of primary settling on major parameters.
Primary settling of the selected raw wastewater for 2 hours resulted in the
removal of 32% chemical oxygen demand (COD), 9% total Kjeldahl
nitrogen, 9% total phosphorus, and 47% total suspended solids. Respiro-
metric analysis identified COD removed by settling as a new COD fraction,
namely settleable slowly biodegradable COD (XSS), characterized by a
hydrolysis rate of 1.0 day21 and a hydrolysis half-saturation coefficient of
0.08. A model simulation to test the fate and availability of suspended (XS)
and settleable (XSS) COD fractions as carbon sources for denitrification
showed that both particulate COD components were effectively removed
aerobically at sludge ages higher than 1.5 to 2.0 days. Under anoxic con-
ditions, the biodegradation of both COD fractions was reduced, especially
below an anoxic sludge retention time of 3.0 days. Consequently, modeling
results revealed that the settleable COD removed by primary settling could
represent up to approximately 40% of the total denitrification potential of the
system, depending on the specific configuration selected for the nitrogen
removal process. This way, the results showed the significant effect of
primary settling on denitrification, indicating that the settleable COD fraction
could contribute an additional carbon source in systems where the denitri-
fication potential associated with the influent becomes rate-limiting for the
denitrification efficiency. Water Environ. Res., 81, 715 (2009).
KEYWORDS: biodegradation, chemical oxygen demand fractions, de-
nitrification potential, domestic wastewater, primary settling, respirometric
modeling, settleable chemical oxygen demand.
doi:10.2175/106143009X425942
IntroductionAssessment of biodegradation characteristics of different organic
fractions in wastewaters should be considered as one of the major
research milestones in environmental science and technology.
Because of the pioneering work of Dold et al. (1980) and Ekama
et al. (1986), chemical oxygen demand (COD) has been adopted as
the main parameter to quantify organic carbon. The biodegradable
COD conveniently establishes the electron balance between
substrate used, biomass generated, and electron acceptor (dissolved
oxygen in aerobic systems) consumed. Substantial research has
been conducted to identify and assess the biodegradation character-
istics of different COD fractions in domestic wastewater (Henze,
1992; Orhon et al., 1997; Sollfrank and Gujer, 1991) and different
industrial wastewaters (Kabdasli et al., 1993; Orhon et al., 1995;
Orhon, Tasli, and Sozen, 1999). Respirometry has been a significant
asset for the experimental assessment of these fractions (Spanjers
and Vanrolleghem, 1995), which are now incorporated as model
components to major activated sludge models (Gujer et al., 2000;
Henze et al., 1987, 1995).
Particle size is an integral component of COD fractionation.
Wentzel et al. (1999) stated that the biodegradation potential defined
for different COD fractions would have a correlation with physical
categorization, in terms of particle size and physical state in waste-
water. In wastewater characterization, one particle size (0.45-lm
membrane or 1.2-lm glass-fiber filter size) is commonly used to
roughly differentiate soluble and particulate ranges. Soluble inert
COD (SI), readily biodegradable COD (SS), and rapidly hydrolyz-
able COD (SH) are associated with the soluble range, while slowly
biodegradable COD (XS) and particulate inert COD (XI) are evalu-
ated within the particulate range. Recently, a settleable COD frac-
tion (XSS) with a slower biodegradation rate was defined within the
particulate COD for domestic wastewater (Okutman et al., 2001). In
a study involving detailed particle size analysis, Dulekgurgen et al.
(2006) reported that, for domestic wastewater, most of the COD was
in the size ranges above 0.45 lm, and only a relatively small part
was in the soluble range.
A detailed characterization is a prerequisite for understanding and
interpreting the fate of pollutants in wastewaters. It should cover,
aside from COD and its significant fractions, all relevant parameters
and especially particulate solids—total suspended solids (TSS) and
volatile suspended solids (VSS)—in a way to establish basic mass
balances defining useful ratios, such as COD/VSS, COD/N/P, and
VSS/TSS, for treatment system design and operation (Orhon et al.,
1997; Rossle and Pretorius, 2001). From a practical standpoint,
accurate assessment of influent composition is essential for the
design and operation of biological treatment units. In this respect,
the removal rate in plain settling sets is another important factor
within the particulate range, to estimate the fate of different COD
fractions and other parameters before biological treatment.
1 Department of Environmental Sciences and Engineering, IstanbulTechnical University, Istanbul, Turkey.
2 Turkish Academy of Sciences, Ankara, Turkey.
3 Lettinga Associates Foundation, Wageningen, Netherlands.
* Department of Environmental Sciences and Engineering, Istanbul TechnicalUniversity, 80626 Ayazaga, Maslak, Istanbul, Turkey; e-mail:[email protected].
July 2009 715
Biodegradation characteristics of different COD fractions also
provide essential information for activated sludge systems designed
for biological nutrient removal. In fact, in these systems, an impor-
tant role is attributed to organic carbon. Basically, denitrification
relies on the same principles as organic carbon removal under
aerobic conditions, except for the final different electron acceptors
utilized. However, the two systems have totally opposite objectives
when evaluated in terms of the corresponding treatment processes;
in conventional aerobic activated sludge systems, in which the sole
purpose is the organic carbon removal, the typical approach is to
reduce the organic load by means of primary settling, which
removes, aside from suspended solids, the settleable fraction of the
influent COD. In denitrification, which occurs under anoxic condi-
tions, the main objective is to remove the final electron acceptor—
nitrate—and system design should ensure that a stoichiometrically
sufficient amount of biodegradable COD is present for the reduction
and removal of nitrate in the anoxic reactor. In this respect, organic
carbon assumes a different function as an essential ingredient for
denitrification.
The function of biodegradable COD is best evaluated in terms
of the denitrification potential (NDP), a parameter that reflects
the nitrogen equivalent that may potentially consume nitrate
under anoxic conditions. Basic process stoichiometry and process
modeling are commonly used for the assessment of NDP (Artan
et al., 2002; Ekama and Marais, 1984; Sozen et al., 2002). The
efficiency of denitrification greatly depends on the balance between
NDP and the extent of available nitrate (NA) introduced to the anoxic
reactor volume. The merit of the removing settleable COD by
primary settling requires serious consideration and reevaluation,
especially in cases where NDP becomes rate-limiting and additional
organic carbon becomes a significant asset. Obviously, the magni-
tude of the settleable COD fraction alone is not enough for this
evaluation, which basically depends on the biodegradation charac-
teristics of all COD fractions involved.
In this context, the main objective of the study was to establish
a conceptual basis for the assessment of the biodegradability and
denitrification potential of settleable COD. The conceptual approach
was illustrated using data derived from the domestic wastewater at
Atakoy, Istanbul, Turkey. Detailed characterization, emphasizing
the effect of primary settling on COD fractionation, and model
simulation were also carried out as the necessary tools to conduct
this examination.
Materials and MethodsSurvey Site. The study was conducted as part of a comprehen-
sive survey on the treatability-oriented characterization of domestic
wastewater within the metropolitan area of Istanbul, Turkey, now
housing more than 12 million residents. The Istanbul Metropolitan
Area is located on the northern coast of the Marmara Sea and lies on
both sides of the Bosphorus strait, connecting the Black Sea to the
Marmara Sea. The area has been the subject of similar studies as the
major polluting source in the Marmara basin (Gorgun et al., 1996;
Orhon et al., 1997; Orhon, Sozen, and Ubay, 1994; Orhon, Uslu,
Meric, Salihoglu, and Filibeli, 1994). The study was mainly carried
out at the Atakoy treatment plant, serving a population equivalent of
45 000 residents, now under extension for nutrient removal, where
a statistically significant number of composite samples (i.e., more
than 30 samples) were collected from the influent of the plant. The
composite samples were collected in summer (sampling from 8 a.m.
until 5 p.m. each day), during dry weather, for a period of 3 months
(July to September). The sampling sequence was arranged to
characterize all days of the week. In addition to the summer
characterization, five grab samples also were taken and analyzed
in December, to compare the summer and winter wastewater com-
positions. The study also included evaluation of wastewater samples
collected during the same summer period from the Baltalimani
treatment plant, another significant wastewater discharge station
within the metropolitan area along Bosphorus.Analytical Measurements. All analyses were performed
according to Standard Methods (APHA et al., 1998). As prescribed
in current activated sludge modeling, COD was used to characterize
wastewater organic matter. The soluble and particulate organic
matter was differentiated by filtration, using 0.45-lm cellulose
acetate membrane filters. The COD measurements were performed
as described in ISO6060 (International Organization for Standard-
ization, 1986). Whatman (Kent, England) GF/C glass-fiber filters
(1.2 lm) were used for TSS and VSS measurements. In addition,
0.45-lm cellulose acetate membrane filters were used to quantify
TSS and VSS in domestic wastewater, to compare the results with
the soluble parameters that are defined as filtrate from 0.45-lm
cellulose acetate membrane filters.Respirometric Modeling and Performance Simulation.
Oxygen uptake rate (OUR) measurements were conducted with a
Manotherm RA-1000 continuous respirometer (Nazareth, Belgium)
with a personal computer connection (Orhon and Okutman, 2003).
Three sets of composite samples collected from the influent of
Table 1—Conventional characterization of domestic wastewater.
Parameter
This study Domestic wastewater in _Istanbul (Orhon et al., 1997)
Atakoya Baltalimania Kadikoy K.Cekmece
Mean 70% Range Mean 70% Range Mean Range Mean Range
COD (mg/L) 406 445 295 to 535 353 368 314 to 408 450 220 to 775 400 345 to 480
TKN (mg/L) 41 43 36 to 47 35 38 30 to 40 49 22 to 73 42 38.6 to 46.7
NH3-N (mg/L) 27 28.8 19 to 34 20.4 23 11 to 26.0 30.5 25 to 39 24.78 22.4 to 30.4
Total phosphorus (mg/L) 8.3 9.1 6.0 to 11.6 7.1 8.4 4.4 to 10.2 8.1 5.0 to 15 7.4 6.1 to 9.6
TSS (mg/L)b 190 210 122 to 247 184 195 151 to 262 310 140 to 930 200 165 to 270
VSS (mg/L)b 178 198 118 to 227 148 160 126 to 165 210 130 to 395 103 100 to 105
Total dissolved solids (mg/L) 2874 2920 2600 to 3300 4486 4510 4200 to 4630 474 425 to 495 616 520 to 680
pH 7.6 7.7 7.2 to 7.9 7.4 7.5 7.1 to 7.7 7.2 — 7.68 7.6 to 7.7
a Summer season, composite samples.b 1.2 lm.
Tas et al.
716 Water Environment Research, Volume 81, Number 7
the Atakoy treatment plant were used for the assessment of COD
fractions and evaluation of kinetic coefficients, as previously
described (Orhon et al., 2002). A 30-L composite sample was
collected from the influent of the treatment plant and subjected to
2 hours of gravity settling in a cylindrical reactor to simulate the
quality of fresh settled wastewater. Approximately 2 L of the settled
wastewater fraction was withdrawn from the bottom of the reactor
for the OUR measurements. The experiments were conducted at
room temperature (228C). The pH was kept in the range 7.0 to 8.0,
which is suitable for biological activity. Aeration was supplied
continuously during OUR measurements to maintain a sufficient
dissolved oxygen concentration. The OUR data were collected
online with a sampling frequency per minute. Experimental assess-
ment of the kinetic coefficients was performed by model calibration
using the experimental OUR data. The COD fractionation and
soluble and particulate COD components of the wastewater were
determined according to the methods previously described (Ekama
et al., 1986; Insel et al., 2003; Orhon and Okutman, 2003; Orhon
et al., 2002).
A simulation study was performed to illustrate the biodegradation
characteristics of particulate slowly biodegradable COD (XS, XSS)
under different sludge ages (hX). The steady-state simulations were
performed using a conventional activated sludge system having
a single aerobic continuous stirred-tank reactor (CSTR) and a final
clarifier. A simulation study was conducted using average waste-
water characterization and influent COD fractionation. Sludge age
(hX) and hydraulic retention time (hH) were changed in parallel to
keep the mixed liquor suspended solids (MLSS) concentration at
approximately 4.0 kgSS/m3 in all simulations. The final clarifier
was assigned as a point settler, in which the mixed liquor is physi-
cally separated from the clarified effluent. The solids separation
efficiency of the final clarifier was assumed to be 100%. The return
activated sludge rate was adjusted to unity. The AQUASIM prog-
ram developed by Reichert et al. (1998) was used in all simulations.
The simulation results were processed to obtain the contributions
of different COD fractions to the denitrification potential (NDP) of
the system at different operating conditions and different anoxic
volume ratios (VD/V). The following simplified equation was used
to calculate the denitrification potential of both total and settleable
COD:
NDP ¼�CS
2:86ð1� YNHDÞ and YNHD ¼ YHD=ð1þ bHD�hXÞ ð1Þ
Where
CS 5 concentration of biodegradable COD (mg/L),
YNHD 5 net anoxic yield coefficient for heterotrophs (mgcell-
COD/mgCOD),
bHD 5 anoxic endogenous decay rate for heterotrophs (day21),
and
hX 5 total sludge age (days).
The anoxic endogenous decay rate (bHD) is calculated by reducing
the aerobic endogenous decay coefficient with the endogenous
decay correction factor (gE), as follows:
bHD ¼ bH �gE ð2Þ
Results and DiscussionConventional Characterization. Conventional characteriza-
tion results of the domestic wastewater investigated in this study
during the summer season are outlined in Table 1. The table in-
cludes previously reported literature data based on surveys con-
ducted on the domestic wastewater from important wastewater
discharge stations of Istanbul (Orhon et al., 1997) and representative
domestic wastewater characteristics for selected countries in Europe
(Pons et al., 2002). The results indicated that the average com-
position of domestic wastewater at the Atakoy treatment plant,
which served as the focal point of the study, could be expressed as
406 mg/L total COD, 190 mg/L TSS, 178 mg/L VSS, 41 mg/L total
Kjeldahl nitrogen, 27 mg/L ammonia nitrogen (NH3-N), and 8.3
mg/L total phosphorus. The average pH of the domestic wastewater
was 7.6. Slightly lower values were observed for all the parameters
in the Baltalimani treatment plant, the other station considered in
this study (Table 1). Both stations represent residential areas
generating municipal wastewater with no significant effect from
industrial activities. The mean values obtained for the Atakoy and
Baltalimani wastewaters represent typical domestic wastewater
quality, which has not changed significantly over time. The stronger
character of the Yenikapi wastewater reported in the previous study
indicates the significant effect of industrial discharges on wastewa-
ter quality. The appreciable quality spectrum observed among the
different wastewater characteristics given in Table 1 underlines the
specific nature of wastewater quality affected by local conditions.
The statistical distribution of major parameters for the Atakoy
treatment plant influent is plotted in Figure 1. The plots exhibit
a regular trend for all parameters with a range of 5 to 10% deviation
between mean and 70th-percentile values. The 70th-percentile
values, representing the upper threshold level of 70% of the samples
analyzed, are also indicated in Table 1. The 70th-percentile values
are generally recommended and adopted for design, as they could
Table 1—(Extended)
Parameter
Domestic wastewater in _Istanbul (Orhon et al., 1997) Domestic wastewater in Europe (Pons et al., 2002)
Baltalimani Yenikapi France Austria Netherlands Sweden Norway Finland Germany
Mean Range Mean Range Mean Mean Mean Mean Mean Mean Mean
COD (mg/L) 340 265 to 645 680 280 to 1480 634 526 450 477 233 559 548
TKN (mg/L) 35 23.9 to 57 66 27 to 92 52 44 42 33.1 22 43.8 59
NH3-N (mg/L) 19.9 10 to 26.3 37.74 24 to 48.8 — — — — — — —
Total phosphorus (mg/L) 6.8 5 to 8.63 7 3.6 to 13 9.3 7.1 6.7 6.14 3 7.47 8
TSS (mg/L)b 140 85 to 318 480 110 to 820 302 — 237 243 143 378 208
VSS (mg/L)b 125 120 to 135 65 65 to 69 — — — — — — —
Total dissolved solids (mg/L) 435 335 to 537 — — — — — — — — —
pH 7.4 7.2 to 7.5 7.24 7.1 to 7.3 — — — — — — —
Tas et al.
July 2009 717
provide more meaningful and useful information compared with
mean values (Kayser, 1989; Orhon et al., 1998). Therefore, in
this study, evaluations for different parameters presented in the
following sections are based on the 70th-percentile values.
Comparison of the wastewater composition in the summer and
winter seasons is shown in the following results, in terms of the
suspended solids and COD concentrations that can be expected to
change as a function of the seasonal activities. Because a significant
difference for nitrogen and phosphorus parameters was not expected
during summer and winter seasons under dry-weather conditions,
these two parameters were not investigated in the winter season.Effect of Settling and Filtration on Wastewater Characteristics.
The nature and size distribution of significant conventional parameters
have been studied for the following four indices associated with
different size thresholds: (1) 30 minutes of settling, (2) 2 hours of
settling, (3) 1.2-lm filtration, and (4) 0.45-lm filtration. The first two
have practical significance, as they illustrate the effect of primary
settling typically implemented before biological treatment of domestic
wastewater. Filtration through 0.45-lm filters is commonly used to
differentiate soluble and particulate fractions and roughly approx-
imates the effect of chemical treatment (Henze et al., 2000). Filtration
through 1.2-lm filters is also a common analytical technique for
wastewater characterization.
The results of settling and filtration experiments conducted on
all samples and displayed in Table 2 indicated that 74 to 78% of
the total COD could be considered of particulate nature based on
a 0.45-lm size threshold for both the summer and winter seasons.
In the summer samples, settling for 2 hours removed 32% of the
total COD or 43% of the particulate COD. After settling, 188 mg/L
of suspended or colloidal COD remained in the effluent, with
a different composition of 38% soluble COD and 62% particulate
COD. Thirty minutes of settling was roughly half efficient, only
providing 17% COD removal. The 0.45 to 1.2 lm size range was
observed to contain 7% of the COD content of domestic waste-
water, which is a statistically significant amount that should be
considered for the evaluation of wastewater characterization.
Similar results also were observed in the winter season.
The soluble fraction of the total nitrogen was assessed as 78%. A
similar fraction of 80% was calculated for total phosphorus. Two
hours of settling provided only 9% nitrogen removal, which cor-
responded to 42% of the initial particulate nitrogen. Similarly, 9%
of the total phosphorus and 44% of the particulate phosphorus was
removed. The removal efficiencies decreased to 5% for nitrogen
and 7% for phosphorus when the settling time was reduced to
30 minutes. The specific nature of wastewater characteristics was
confirmed, as the results of this study were only partially supported
by similar observations reported in the literature. Odegaard (1997)
indicated that the filtered fraction (1 lm) in raw wastewater samples
was typically 20 to 30% of the total COD, 30 to 40% of the total
phosphorus, and 75 to 85% of the total nitrogen. Tiehm et al. (1999)
stated that, in raw wastewater and primary effluent, 45% of
the COD and 35 to 80% of the phosphorus was associated with
suspended solids.
Similarly, in the summer samples, based on quantification with
membrane filters (0.45 lm), settling periods of 30 minutes and of
2 hours resulted in the removal of 33 and 47% TSS and 36 and 49%
Figure 1—Statistical distribution of characteristic parameters in Atakoy domestic wastewater: (a) COD, (b) suspendedsolids, (c) total Kjeldahl nitrogen, and (d) total phosphorus (¤ 5 total, � 5 30 minutes settled, � 5 2 hours settled, andu 5 soluble).
Tas et al.
718 Water Environment Research, Volume 81, Number 7
VSS, respectively. Although measured concentrations were lower,
similar removal ratios were obtained based on quantification with
1.2-lm glass-fiber filters. In the winter season, although TSS con-
centrations were very similar to those measured in the summer, VSS
concentrations were relatively lower. Based on a 0.45-lm analytical
quantification, settling periods of 30 minutes and of 2 hours resulted
in the removal of 27 and 36% TSS and 18 and 36% VSS, respec-
tively. Thus, higher removal efficiencies for suspended solids were
obtained in the summer samples as opposed to the winter samples.
The difference in removal efficiencies can be attributed to different
characteristics of particulate pollutants during the wet season; to
higher temperatures in the summer season, which may decrease the
fraction of XSS in the sewer because of the faster hydrolysis; and to
variation in the sampling method, which was composite sampling in
the summer season and grab sampling in the winter season.
In general, filtration through 0.45-lm filters is used to differen-
tiate soluble and particulate fractions. Although the use of 1.2-lm
filters is a common analytical technique, especially for the quantifi-
cation of suspended solids, it could be more appropriate to use
0.45-lm filters for all quantifications, to compare all the parameters
on the same basis.
The effect of primary settling, approximated by 2-hour settling
experiments, on the removal of significant parameters, is outlined in
Table 3, with similar results in the literature. A mass balance for
these parameters associated with primary settling is schematically
illustrated in Figure 2. The removal efficiencies are generally com-
patible with the results of similar studies in the Istanbul area, except
for phosphorus (Orhon, Sozen, and Ubay 1994; Orhon et al., 1997).
Rossle and Pretorius (2001) have reported slightly higher removal
rates for South African wastewater. These results merit further
attention in terms of the settling properties of domestic wastewater
as it relates to the removal of a significant portion of the available
organic carbon source.Assessment of Characteristic Parameters. Interpretation of
conventional characterization, in terms of significant ratios of sel-
ected parameters, such as N/COD, P/COD, and VSS/COD, is quite
useful, as it could be used for prediction of the biodegradability of
domestic wastewater. As reported in Table 4, the N/COD ratio
for Atakoy was calculated to be in the range 0.07 to 0.15 mgN/
mgCOD, with an average value of 0.11 mgN/mgCOD. The cor-
responding value for Baltalimani was 0.10 mgN/mgCOD. These
values coincide with the average N/COD ratios of 0.10 to 0.11
mgN/mgCOD previously observed for Istanbul wastewater (Orhon
et al., 1997; Orhon, Sozen, and Ubay, 1994). They also are con-
sistent with the range 0.087 to 0.115 mgN/mgCOD reported for
different domestic wastewaters in Europe (Pons et al., 2002). The
N/COD ratio is an important index for predicting the efficiency of
denitrification in biological treatment. The overall mean N/COD
ratios measured in this study represent the limit value of 0.1 mgN/
mgCOD, below which, a single sludge predenitrification system has
the potential of providing high nitrogen removal efficiency (Orhon
and Artan, 1994). Pitman (1991) and Randall et al. (1992) reported
that, if the N/COD ratio is higher than 0.11 and the volatile fatty
Table 2—Significant parameters in domestic wastewaterafter settling and filtration (70% statistical values).a
Parameters (mg/L) Total
Supernatant
after settling Filtrate
30 minutes 2 hours 1.2 lm 0.45 lm
Organics and nutrients
Summer seasonb
COD 445 370 305 149 117
Total nitrogen 43 41 39 NM 33.5
Total phosphorus 9.1 8.5 8.3 NM 7.3
Winter seasonc
COD 510 350 300 150 115
TSS and VSS
Summer seasonb (1.2 lm)
TSS 210 144 114 NA NA
VSS 198 142 110 NA NA
Summer seasonb (0.45 lm)
TSS 230 153 123 NA NA
VSS 200 128 103 NA NA
Winter seasonc (1.2 lm)
TSS 195 168 129 NA NA
VSS 148 109 87 NA NA
Winter seasonc (0.45 lm)
TSS 207 152 132 NA NA
VSS 160 131 102 NA NA
a NA 5 not applicable, NM 5 not measured.b Composite samples.c Grab samples.
Figure 2—The mean values of mass balance for COD,nutrients, and suspended and volatile suspended solidsin the wastewater after primary settling (*0.45 lm).
Table 3—Removal ratios of the significant parameters inthe primary settling (2 hours).
Percent removal
COD
(%)
TKN
(%)
Total
phosphorus
(%)
TSS
(%)
Atakoy wastewaters
(this study)
32 9 9 47*
South African wastewaters
(Rossle and Pretorius, 2001)
40 15 to 20 15 to 20 60
Riva/Istanbul wastewater
(Orhon, Sozen, and Ubay, 1994)
26 7 15 —
Kadikoy/Istanbul wastewater
(Orhon et al., 1997)
33 9 25 63
ATV131 (2000) 33 9 11 64
* 0.45 lm.
Tas et al.
July 2009 719
acid (VFA) content is low (,50 mg/L), an external carbon source
should be used or prefermentation should be implemented. As ex-
pected, settling increased this ratio, as a result of significantly lower
nitrogen removal compared with COD. After 2 hours of settling, the
mean N/COD ratio was measured as 0.14 mgN/mgCOD for Atakoy
and 0.12 mgN/mgCOD for Baltalimani wastewater, which are both
above the limit for efficient predenitrification.
The mean value of the P/COD ratio for both the Atakoy and
Baltalimani wastewater was 0.02 mgP/mgCOD, which is also con-
sistent with the range 0.014 to 0.019 given for European wastewaters
(Pons et al., 2002). Settling for 2 hours resulted in an increase
of approximately 50%. Similarly, an increase has been reported in
the P/COD ratio from the range 0.015 to 0.025 to the range 0.02 to
0.03 in the settled sludge (Water Research Commission, 1984).
The VSS/SS ratio was 0.93 mgVSS/mgSS for Atakoy and 0.84
mgVSS/mgSS for Baltalimani, as summarized in Table 4, indicating
that 7 to 16% of the suspended solids were of an inorganic nature.
As expected, settling was more effective in removing the inorganic
suspended solids, as a result of higher settling velocities associated
with this fraction.
The ratios of particulate fractions of significant parameters are
also quite important for system design and process modeling (Gujer
et al., 2000). Table 5 outlines the values of two ratios, namely the
ratio of VSS to particulate COD, iX, and of particulate nitrogen to
particulate COD, iXN, for the Atakoy wastewater. In conventional
analysis, soluble and particulate components of the wastewater are
commonly differentiated using filters with pore sizes ranging from
0.45 to 1.8 lm (Henze et al., 2000). In this study, only a 0.45-lm
filter was used to quantify COD during the summer season,
whereas, during the winter season, both 0.45- and 1.2-lm pore-
sized filters were used for particulate COD assessment. As shown in
Table 5, iX was calculated as 0.66 mgVSS/mgCOD for both raw
and settled wastewater during the summer survey (0.45 lm). In the
winter season, this ratio was found to increase to 0.79 mgVSS/
mgCOD for the same type of filter and to 0.70 for a 1.2-lm filter. In
the winter season, particulate VSS/COD ratio ranged from 0.73 to
0.79 for the same type of filters (0.45 lm). According to the VSS
and COD measurements with 1.2-lm filters, the particulate VSS/
COD ratios were relatively small compared with the measurements
with 0.45-lm filters. Although no difference was observed in the iXlevel in summer, a significant decrease was observed as a function
of settling time in the winter samples. These values compare well
with the typical value of 0.75 mgVSS/mgCOD suggested for settled
wastewater in Activated Sludge Model No. 3 (ASM3) (Gujer et al.,
2000). The particulate N/COD ratio, iXN, was similarly calculated
as 0.03 mgN/mgCOD for both raw and settled wastewater for the
summer samples, a level consistent with the default value of 0.04
mgN/mgCOD of ASM3, after primary settling (Gujer et al., 2000).
The inorganic portion of the suspended solids, called fixed solids,
XFS, also is an important parameter for the accurate estimation of
biomass under different operating conditions. The effect of settling
on XFS and on the fixed solids fraction, fXFS, for the Atakoy
Table 4—Effect of settling and filtration on significant ratios for domestic wastewater.
Atakoy Baltalimani
Mean Standard deviation Range Mean Standard deviation Range
N/COD Total 0.11 0.02 0.07 to 0.15 0.10 0.01 0.09 to 0.11
30 minutes settled 0.13 0.02 0.1 to 0.2 0.12 0.01 0.12 to 0.13
2 hours settled 0.14 0.02 0.1 to 0.21 0.12 0.02 0.1 to 0.15
Soluble (0.45 lm) 0.31 0.05 0.2 to 0.41 0.17 0.02 0.15 to 0.2
P/COD Total 0.021 0.004 0.017 to 0.028 0.020 0.006 0.013 to 0.027
30 minutes settled 0.026 0.005 0.013 to 0.037 0.025 0.006 0.017 to 0.032
2 hours settled 0.029 0.004 0.021 to 0.037 0.027 0.006 0.022 to 0.033
Soluble (0.45 lm) 0.067 0.018 0.027 to 0.089 0.012 0.036 0.015 to 0.043
VSS/TSS Total 0.93 0.09 0.57 to 0.98 0.84 0.19 0.51 to 0.96
30 minutes settled 0.97 0.01 0.94 to 0.99 0.86 0.16 0.58 to 0.96
2 hours settled 0.97 0.02 0.92 to 0.99 0.89 0.16 0.61 to 0.96
Table 5—Particulate nitrogen and COD fractions as a function of settling time in the Atakoy domestic wastewatertreatment plant.
ix (g-VSS/g-COD) ixN (g-N/g-COD)
Total 30 minutes settled 2 hours settled Total 30 minutes settled 2 hours settled
Summer season
0.45 lma 0.66 0.66 0.03 0.03 0.03
Winter season
0.45 lmb 0.79 0.76 0.73 — — —
1.2 lmb 0.70 0.68 0.63 — — —
Literature
ASM3 (Gujer et al., 2000) 0.75 0.04
a Composite samples.b Grab samples.
Tas et al.
720 Water Environment Research, Volume 81, Number 7
wastewater is shown in Table 6. The fixed solids fraction, fXFS, was
calculated as 0.09 for summer and 0.16 for winter samples. These
values are relatively lower than the 0.2 to 0.3 range suggested by
Gujer and Kayser (1998). Settling induced a significant decrease in
this ratio, to a level of 0.02 in summer and to 0.12 to 0.14 in winter.
Similar to these results, Orhon et al. (1997) reported a decrease in
the fixed solids from 30 to 15% after 2 hours of settling.Effect of Settling on Chemical Oxygen Demand Fractionation.
The results of this study indicated that more than 30% of the COD
content of the Atakoy domestic wastewater could be removed by
primary settling. While this removal could be quite beneficial in
decreasing the organic load of biological treatment, it also may pose
the problem of reducing the available organic carbon necessary for
denitrification, where applicable. An accurate evaluation of the merit
of COD removal by primary settling can only be made in terms of
specific biodegradation characteristics of settled COD. This requires
COD fractionation primarily in relation with particle size ranges
(Dulekgurgen et al., 2006) and experimental assessment of the bio-
degradation characteristics of different COD fractions (Henze et al.,
2000; Okutman et al., 2001).
In this study, calibration of the OUR profile, now a widely
accepted and tested experimental instrument, was used for the
assessment of COD fractions and corresponding biodegradation
kinetics. The ASM1, modified for the endogenous decay process
and for the separate identification and hydrolysis of rapidly
hydrolyzable COD (SH) and settleable COD (XSS), was adopted
as the basis for model calibration (Orhon, Cokgor, and Sozen, 1999;
Orhon et al., 2002). The schematic description of the modified
ASM1 in a matrix format is given in Table 7. The experiments were
carried out with a composite sample taken from the Atakoy treat-
Table 6—The ratios of fixed solids in the Atakoy domestic wastewater treatment plant as a function of settling time,where XFS15 [mg TSS/L - mg VSS/L] and fXFS5 [mg TSS/L - mg VSS/L]/[mg TSS/L].
Raw wastewater 30 minutes settled wastewater 2 hours settled wastewater
This study XFS1 fXFS XFS1 fXFS XFS1 fXFS
Summer season
0.45 lma 15 0.09 6 0.03 5 0.02
1.2 lma 11 0.09 4 0.03 3 0.02
Winter season
0.45 lmb 52 0.16 25 0.14 20 0.14
1.2 lmb 36 0.16 20 0.15 11 0.12
Literature
Gujer and Kayser (1998) (1.2 lm) 0.2 to 0.3
Orhon et al. (1997) (1.2 lm) 100 0.3 — — 17 0.15
a Composite samples.b Grab samples.
Table 7—Matrix representation for endogeous decay model.
Processes SO SNO SNH SS SH XS XSS XH XA SP XP Reaction rate
Heterotrophs
Hydrolysis of SH 1 21 khSH=XH
KX þ SH=XHXH
Hydrolysis of XS 1 21 khXSXS=XH
KXXS þ XS=XHXH
Hydrolysis of XSS 1 21 khXSSXSS=XH
KXXSS þ XSS=XHXH
Aerobic growth �1� YH
YH
2iXB � 1
YH
1 lH
SS
KS þ SS
XH
Anoxic growth � 1� YHD
2:86�YHD
2iXB � 1
YHD
1 g� lH
SS
KS þ SSXH
Aerobic endogenous decay 2(12fES2fEX) 21 fES fEX bHXH
Anoxic endogenous decay �ð1� fES � fEXÞ2:86
21 fES fEX g�bHXH
Autotrophs
Aerobic growth � 4:57� YA
YA
1
YA�iXB �
1
YA
1 lA
SNH
KNH þ SNHXA
Aerobic endogenous decay 2(12fES2fEX) iXB(12fES2fEX) 21 fES fEX bAXA
Tas et al.
July 2009 721
ment plant. Soluble and particulate COD fractions were determined
by means of model calibration and simultaneous evaluation of four
different OUR profiles obtained from raw, settled, filtered waste-
water and settled COD derived from the composite sample. Two
parallel tests were carried out with two different initial food-to-
microorganism (S0/X0) ratios for all types of samples. The con-
ceptual basis of the evaluation procedure was previously explained,
in detail, by Orhon et al. (2002). As illustrated in Figure 3, four
different OUR profiles could be successfully calibrated with the
same set of model coefficients. Modeling results indicated that the
Atakoy wastewater also was quite typical, in terms of COD frac-
tionation, as it involved 77% biodegradable COD (CS), with a
soluble inert COD fraction (SI) of 7% and a particulate inert COD
fraction (XI) of 16%. As expected, a small fraction—only 9%—was
readily biodegradable (SS). The rest of the biodegradable COD was
composed of 13% rapidly hydrolyzable COD (SH), 26% suspended
slowly biodegradable COD (XS), and 29% settleable slowly bio-
degradable COD (XSS). The correlation between conventional size
distribution and COD fractionation is better visualized in Figure 4.
The figure shows that the sum of SI 1 SS 1 SH does not extend
beyond the 0.45 to 1.2 lm range, justifying the term soluble slowlybiodegradable commonly adopted to define SH. Figure 4 also
indicates that the settled COD fraction for this particular experiment
was 37%, which is slightly higher than the average of all samples
tested. Based on the COD fractionation for settled COD, settleable
slowly biodegradable COD (XSS0) and settleable inert COD (XI0)
represented 29 and 8% of the raw domestic wastewater COD,
respectively. These results agree with previous observations, where
approximately 180 mg/L of the particulate slowly biodegradable
COD was of a settleable nature (Orhon et al., 2002). Thus, only
78% of the COD removed by primary settling was biodegradable
in nature.
Mass balance and the effect of primary settling on the COD
fractions are shown in Figure 5. The concentrations and corre-
sponding percent fractions reported in this figure are the average
values of three different sets of experiments—one in this study
and the other two previously reported by Okutman et al. (2001) and
Orhon et al. (2002) for the same wastewater. The kinetic and
stoichiometric coefficients used for modeling for the three sets of
experiments are given in Table 8. The results in this table show
good agreement between the OUR tests conducted on different
samples of the Atakoy wastewater and provide a clear indication
for the need of differentiating three slowly biodegradable COD
fractions—the first in the soluble range, SH, the second of a
suspended particulate nature, XS, and the third within the settled
COD, XSS—associated with clearly different hydrolysis rates of
3.5, 1.7, and 1.0 day21, respectively. The biodegradation kinetics of
the settled COD fraction also show that the carbon source directly
derived from primary settling may not be very attractive for both
nitrogen and phosphorus removal processes. Fermentation of this
settled COD fraction, in sewers with long retention times or in the
anaerobic zone of the wastewater treatment plant, or in prefer-
menters, if properly controlled, is recognized as one of the cheapest
ways of generating additional readily biodegradable COD by con-
verting slowly biodegradable COD into more easily biodegradable
components (Bannister and Pretorius, 1998; Hatziconstantinou
et al., 1996; Moser-Engeler et al., 1998; Munch and Koch, 1999).
In a recent study involving a detailed investigation of the potential
of primary sludge fermentation for the generation of readily bio-
degradable substrate, Cokgor et al. (2006) reported that un-
controlled fermentation converted 22% of the initial VSS in the
Figure 3—Model simulation of the OUR profiles: (a)filtered wastewater (0.45 lm), F/M ratio 5 0.05 gCOD/gVSS; (b) settled wastewater, F/M ratio 5 0.07 gCOD/gVSS; (c) raw wastewater, F/M ratio 5 0.1 gCOD/gVSS;and (d) settled COD, F/M ratio 5 0.2 gCOD/gVSS.
Tas et al.
722 Water Environment Research, Volume 81, Number 7
sludge into soluble biodegradable COD, and approximately 85% of
this soluble COD was associated with the formation of short-chain
VFAs.Effect of System Design on the Biodegradation of Settleable
Chemical Oxygen Demand. In ASM models, the degradation of
particulate organic matter is described using surface-saturation-type
hydrolysis kinetics, as shown in Table 7. Basically, the hydrolysis
rate is controlled by two kinetic parameters—(1) the maximum
hydrolysis rate (kh), and (2) the half-saturation coefficient for
hydrolysis (KX). The type of reaction becomes zero-order (kh�XH)
when the substrate (XS or XSS) is abundant in the bulk compared
with the active biomass (XH). On the other hand, the reaction rate
can be expressed as first-order (r 5 kh�XS) at low substrate levels
(low XS/XH), where kH represents the kh/KX ratio.
A model simulation has been conducted to verify the effect of
system design on the biodegradation of the hydrolyzable COD
fractions in a conventional activated sludge system. The simulation
was performed for a CSTR with the operating conditions, namely
for different sludge age (hX, days) and hydraulic retention time (hH,
hours) couples. The hX/hH ratio was kept constant during the
simulations. The sludge age and hydraulic retention time couples
have been selected such that the hX/hH ratio maintains an average
MLSS concentration of 4.0 kgMLSS/m3 in the reactor.
Figures 6 and 7 show the simulation outputs for the particulate
biodegradable COD fractions (XS, XSS) and the effluent quality
(total soluble COD, ST), with respect to different hX and hH couples
under both aerobic and anoxic conditions, respectively. In Figures 6
and 7, the x-axis defines, with the sludge age, the corresponding
hydraulic retention time, expressed in terms of hours, as explained
previously. The raw wastewater characteristics (as influent) and
model parameters used in the simulations were adopted from Figure
4 and Tables 8 and 9. Under steady-state conditions, a mass-balance
equation on XSS in a conventional activated sludge system can be
written as follows:
dXSS
dt¼ 0 ¼ Q�XSSin �
V �XSS
hX
� V �khXSS
XSS
KXXSS�XH þ XSS
XH ð3Þ
or
0 ¼ XSSin �hH�XSS
hX� hH�khXSS
XSS
KXXSS�XH þ XSS
XH ð4Þ
Where
Q 5 influent flowrate (L/d),
V 5 volume of biological reactor (L), and
XH 5 active heterotrophic biomass (mgcellCOD/L).
Thus, to calculate the overall removal efficiencies by correcting for
the accumulation effect resulting from sludge age, the particulate
biodegradable COD concentrations (XS, XSS) shown in Figure 6
were multiplied with the ratio hH/hX.
As shown in Figure 6a, significant removal of slowly biodegrad-
able COD (XS, XSS) can be obtained for hX levels above 2 days. The
hydrolysis reaction can be assumed to be first-order, because the
hydrolyzable COD concentration (XS, XSS) can be neglected com-
pared with the active biomass concentration (XH), where the kh and
KX parameters both influence the hydrolysis rate. Under these
conditions, the removal efficiency was found to be approximately
90%, both for XS and XSS. At higher hX values, the corresponding
Figure 4—Schematic representation of COD fractionation and size distribution in domestic wastewater.
Figure 5—The mean values of the COD fractions in thewastewater after primary settling (reported values are themean values of the three sets of experiments—one set inthis study and two sets from Okutman et al., 2001 andOrhon et al., 2002).
Tas et al.
July 2009 723
kh/KX ratios exhibit an effect on the hydrolysis of XS and XSS at
nearly similar orders of magnitude.
The differences in removal efficiencies with respect to XS and XSS
are much more pronounced when the system is operated at lower hX
values (,2 days). As shown in Figure 6a, the XSS accumulation was
much higher than the XS level, because the low kh parameter played
a dominant role in the overall hydrolysis rate. For example, the
COD removal efficiencies for XS and XSS corresponded to 60 and
Figure 6—Steady-state simulation of the biodegradationof particulate slowly biodegradable COD fractions under(a) aerobic conditions and (b) anoxic conditions.
Table 8—Kinetic and stoichiometric coefficients used for the modeling of aerobic activated sludge systems.
Set no.
bH
(day21) fE
kh
(day21) KX
khXS
(day21) KXXS
khXSS
(day21) KXXSS KS
lHmax
(day21)
YH
(gcellCOD/gCOD)
This study 0.2 0.2 3.2 0.04 1.4 0.28 1.0 0.10 3 3.5 0.67
1a 0.2 0.2 1.6 0.05 — — 0.7 0.05 3 4.2 0.67
2b 0.2 0.2 3.8 0.20 1.9 0.18 1.2 0.10 6 3.5 0.67
Mean — — 3.5 0.12 1.7 0.2 1.0 0.08 — — —
a Data taken from Orhon et al. (2002).b Data taken from Okutman et al. (2001).
Figure 7—Steady-state simulation of the soluble biodegrad-able COD components and the fate of total soluble CODunder (a) aerobic conditions and (b) anoxic conditions.
Tas et al.
724 Water Environment Research, Volume 81, Number 7
35%, respectively, at 0.5 days of hX. A lower maximum hydrolysis
rate (kh 51.0 day21) of XSS caused more accumulation in the
reactor, despite the close influent COD levels of XS and XSS. The
simulation also indicates that both XS and XSS became completely
hydrolyzed and removed beyond the sludge age of 2.0 days. Figure
6b shows the simulation results for the removal of biodegradable
particulate COD fractions under anoxic conditions. The removal of
slowly biodegradable COD (XS, XSS) of above 95% can be obtained
for hX levels above 3 days. As presented in the simulation results
under aerobic and anoxic conditions, the degradation rate of slowly
biodegradable COD fractions is relatively slower under anoxic
conditions, as a result of the reduced rates of hydrolysis processes.
The anoxic hydrolysis rates are 60% lower than the aerobic
hydrolysis rates because of the anoxic hydrolysis rate correction
factor gH (Barker and Dold, 1997; Henze et al., 2000).
Figure 7 illustrates the effluent quality simulations, with respect
to different hX and hH couples, under both aerobic and anoxic
conditions, respectively. The dashed line indicates an SI level of
32 mg/L. The simulation study showed that nearly complete
degradation of soluble biodegradable COD can be achieved for
hX.2 days under both aerobic and anoxic conditions. Considering
the soluble inert COD baseline, the difference of 10 mg/L COD is
the result of the contribution of rapidly hydrolyzable COD (SH) with
inert soluble microbial products (SP). Total effluent soluble COD
(ST) rapidly increased as a result of the incomplete degradation
of rapidly hydrolyzable COD- SH for hX levels below 1.0 day. The
total effluent soluble COD (ST) and effluent rapidly hydrolyzable
COD (SH) are slightly higher under anoxic conditions, as a result of
the slower degradation of SH, as given in Figure 7b.Effect of Settleable Chemical Oxygen Demand on
Denitrification Potential. The denitrification potential (NDP) is
a measure of the electron acceptor (nitrate) demand of the available
organic carbon under anoxic conditions. From a modeling standpoint,
it is controlled by the readily biodegradable COD fraction, as nitrate
demand is associated with processes related to biomass growth and
decay. Consequently, hydrolysis of slowly biodegradable COD
compounds is the rate-limiting step in the development of NDP, with
18 significant operating parameters related to the anoxic phase, such
as the sludge age (hX) and the anoxic volume ratio (VD/V).
The model simulation results under anoxic conditions were used
to evaluate the relative contribution of the settleable biodegradable
COD fraction to the overall NDP of the system. The results have
shown that the denitrification potential (NDP) increases with in-
creasing VD/V ratios, as shown in Figure 8a. No significant increase
in NDP is observed above an anoxic sludge age of 3 days (i.e., total
sludge age of 6 days for VD/V 5 0.5), where almost all biode-
gradable COD is consumed by heterotrophic biomass. The gradual
increase in NDP with increasing sludge ages above an anoxic sludge
age of 3 days is the result of a similar increase in electron acceptor
consumption of decaying biomass (because the concentration of
biomass in the system increases with increasing sludge age). How-
ever, for single sludge systems, denitrification at low sludge ages
will not be possible, because the nitrifiers will be washed out from
the system under such short aerobic sludge ages. In addition, the
system would be limited by the available amount of biodegradable
COD at anoxic sludge ages less than 3 days, as a result of incom-
plete hydrolysis of XSS. The NDP generated by the degradation of
XSS for different sludge ages and VD/V ratios is presented in Figure
8b. The figure shows that the NDP contribution of the XSS com-
ponent increases with increasing VD/V ratios and an increasing
anoxic sludge age of 3 days, where almost complete biodegradation
of XSS is achieved. Thus, the maximum contribution of the
settleable biodegradable COD (XSS) to the total NDP generated in the
system can be as high as 40% for the domestic wastewater studied.
The maximum contribution of XSS is dependent on the design and
operating conditions. While the NDP of XSS is maximized at a total
sludge age of 6 days for a VD/V of 0.5, it can only be maximized if
the system is operated at total sludge ages higher than 15 days and
at a VD/V of 0.2. In addition, it should be emphasized that, in the
presence of a primary settler as a system component, shorter settling
times would introduce some XSS to the system, resulting in an
increase of NDP, depending on the settling efficiency and system
conditions. This may be needed for cases where NDP acts as the
limiting factor for the denitrification efficiency.
ConclusionsThe results of the respirometric evaluations in this study enabled
the establishment of a mass balance for the significant COD
fractions of domestic wastewater. In this context, the effect of
primary settling was assessed, not only as overall COD removal, but
also in terms of a new COD fraction, the settleable COD. This
fraction, removed by primary settling, was identified as a slowly
biodegradable substrate with a low hydrolysis rate of 1.0 day21,
providing a clear differentiation from the other particulate slowly
biodegradable COD components.
The efficiency of the primary settling is expected to be site-
specific. Accordingly, the results related to the fate of conventional
parameters, reported in this study, relate only to the selected
domestic wastewater. However, the proposed approach introduced
a generally applicable new concept of evaluating the settled COD
as a separate entity, which is well-defined in terms of its bio-
degradation characteristics. The settleable (biodegradable) COD
(XSS) was incorporated to a multicomponent model as a new model
component, with its hydrolysis kinetics. The fate of this COD
fraction could then be evaluated by means of model simulation,
which indicated that it would be totally hydrolyzed and removed
at a sludge age of 2 days. Model simulation, accounting for the
biodegradation kinetics respirometrically determined for XSS, with
similar characteristics of other COD components, identified a new
dimension of the settleable COD fraction as a possible source of
additional organic carbon that could directly contribute to the
denitrification potential of the system, if the total sludge age and
the VD/V are adjusted to secure an anoxic sludge age of over 2 days.
The result challenges the function of primary settling, especially in
activated sludge systems, where the denitrification potential asso-
Table 9—Kinetic and stochiometric parameters used inthe calculation of NDP under anoxic conditions.
Parameters Symbol Value Unit
Anoxic yield coefficient YHD 0.54 mgcellCOD/mgCOD
Endogenous decay rate* bH 0.20 day21
Anoxic growth correction
factor gg 0.80 —
Anoxic hydrolysis rate
correction factor gH 0.60 —
Endogenous decay
correction factor gE 0.48 —
* Converted from death regeneration concept.
Tas et al.
July 2009 725
ciated with the influent stream becomes rate-limiting for the desired
nitrogen removal efficiency.
The study also reports the effect of primary settling, in terms of
mass balances for significant conventional parameters. The conven-
tional characterization and mass balance were interpreted in terms
of significant ratios of selected parameters, which need to be incor-
porated to models for accurate prediction of the biodegradability of
domestic wastewater.
Submitted for publication July 17, 2007; revised manuscript
submitted December 22, 2008; accepted for publication January 23,
2009.The deadline to submit Discussions of this paper is October 15,
2009.
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