European water treatment code

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Euro code for water treatment

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£t?A M eòo
Commission of the European Communities
Diteciotaie ■ Generai fot Science, Research ana Development
Environment Research Programme

ADVANCED DESIGN AND OPERATION
OF
MUNICIPAL WASTE WATER TREATMENT PLANTS
PILOT PLANT FLQW PI,
Vccn/i T 2 m :
PRIMARY
SETTLERS

¡

AERATION
TANK

:

VimclaJO 5 m'

SECONDARY !
SE TTLE RS l

»u*a *.ÏC*

■ f «Kr

L_r~s^^

OaomilUc

0*4j»

MAIN DIFFE RE NCE S BE TWE E N BOTH SYSTEMS ABE :

• sue ol scccntíary sell 11
• recirculation capacity

: £ £ ; «! ; , ' £ ;

AERATION TANKS AND SE CONDARY SE TTLE R WE RE THE RMICALLY INSULATE D
FOR LOW TE MPE RATURE E XPE RIVE NTS

Contract N° EV4V­0073­E (A)
L. Concha
M. Henze

TECHNOLOGIES FOR E NVIRONME NTAL PROTE CTION
REPORT 1

EUR 15030 EN

JUNE 1992

COMMISSION OF THE EUROPEAN COMMUNITIES
Directorate-General for Science, Research and Development
Environment Research Programme

CONTRACT NO. EV4V-0073-E (A)
L. Concha
M. Henze

ADVANCED DESIGN AND OPERATION
OF MUNICIPAL WASTE WATER
TREATMENT PLANTS

Technologies for Environmental Protection
Report 1

PARL EUROP. Biblioih.

N . C . ^ Áio^o
CI.

EUR 15030 EN

JUNE 1992

Advanced Design and Operation of Municipal Waste Water Treatment Plants
Contract No. EV4V-0073-E(A)
Project coordinator: L. Concha
Ente Vasco de la Energia (EVE)
Edificio Albia 1
San Vincente. 8 - Pianta 14
48001 - Bilbao
Edited by: L. Concha, Ente Vasco de la Energia (EVE), Spain
M. Henze, Technical University Lyngby, Denmark
J. Busing, CEC, DG XII, D-l, Brussels, Belgium
ISBN 2-87263-085-6

Depot legal D 1992/0157/09

This is report No 1 in the Technologies for Environmental Protection Report Series
of the Environmental R&D Programme of the Commission of the European
Communities, Directorate-General for Science, Research and Development.

For more information concerning this series, please contact :
Mr. H. Ott
CEC-DG XII/D-1
Rue de la Loi, 200
B-1040 Brussels

No part of this publication may be reproduced, stored in a retrieval system, or
transmitted in any form or by any means, electronic, mechanical, photocopying,
recording or otherwise, without indicating the above mentioned references.
Publication No EUR 15030 EN of the
Commission of the European Communities,
Dissemination of Scientific and Technical Knowledge Unit,
Directorate-General Information Technologies and Industries,
and Telecommunications,
Luxembourg
© ECSC-EEC-EAEC, Brussels-Luxembourg, 1993.
LEGAL NOTICE
Neither the Commission of the European Communities nor any person acting on
behalf of the Commission is responsible for the use which might be made of the
following information.
E. GUYOT SA, rue Ransfort 25, 1080 Brussels
Printed in Belgium

- III -

FOREWORD
Research work desoribed in the report was aimed at optimizing
design and operation of unified Sludge Age Control Technology
(USCT) in order to enable aotivated sludge plants to treat a
greater variety and strength of municipal and industrial waste
waters than a conventionally designed and operated plant.
The conventional and the new processes were studied in parallel,
eaoh fed with about 85% domestic and 15% industrial waste water
originating from major industrial sources located in the
Galindo/Bilbao area.
The present report is the first issue of a series of Technologies
for Environmental Protection Reports supported under the EC
Environment Programme of DGXII.
J. Busing, DGXII/D-1

1-

CONTENTS
SUMMARY AND CONCLUSIONS
INTRODUCTION

5
7

PILOT PLANT DESCRIPTION

10

2.1. Pumping of domestic sewage

14

22. Primary settling

14

23. Biological reactor

15

2.4. Secondary settling

16

2.5. Sludge recirculation

17

2.6. Incoming industrial waste reception

18

2.7. Means for homogenization, preparation and dosage of industrial wastes.

18

METHODOLOGY

19

3.1. Research schedule

19

32. List of sampling points and general sampling strategy

20

33. List of analyzed parameters

24

3.4. List of continuously measured parameters

27

3.5. Total number of samples and analysis

29

3.6. Scientific and technical team

30

3.7. Analytical methods

31

OPERATING STRATEGY

33

4.1. Control parameter: sludge age.

34

42. Control parameter: F/M ratio

38

-2RESULTS

44

5.1. Operating conditions in intensive periods

46

52. Hydraulic data

47

53. Influent to Pilot plant

48

5.4. Metals in influent to pilot plant

49

5.5. Primary clarifiers effluents

50

5.6. Metals in primary clarifiers effluents

51

5.7. Final effluents

52

5.8. Metals in final effluents

53

5.9. Diurnal variations CONV system

54

5.10. Diurnal variations FMCT system

55

5.11. Activated sludge mass balance (1)

56

5.12. Activated sludge mass balance (2)

57

5.13. Sludge quality

58

5.14. Metals in primary sludge

59

5.15. Metals in activated sludge

60

5.16. Aeration parameters

61

5.17. Energy consumption

62

5.18. Sludge age calculation

63

MODELLING

64

6.1. Introduction

64

62. Concepts of models

64

6.2.1.

Activated sludge model

64

622.

Secondary clarifier model

66

63. CAB description

68

6.4. Model plant

69

6.5. Input data handling

70

-3-

7.

6.6. Operation conditions used for modelling

72

6.7. Modelling and analyzing

73

6.7.1.

Notes on modelling

73

6.12.

Some results from the modelling of the pilot plant

74

6.73.

Calibration of constants in the model

77

6.8. Conclusion

80

6.9. List of symbols

81

DISCUSSION OF RESULTS
7.1. Primary settling

83

7.2. Activated sludge process

86

7.2.1.

Nitrification

86

122.

Activated sludge quality

90

123.

Settling velocity

96

12.4.

Effluent quality

100

12.5.

Yield coefficient

106

7.2.6.

Energy consumption

110

13.

8.

83

Secondary settling

110

7.4. Heavy metals

118

7.5. General wastewater characteristics

119

CONCLUSIONS

120

8.1. General conclusions

120

82. New system

122

S3.

123

Modelling

9.

LIST OF SYMBOLS

124

10.

REFERENCES

126

ANNEXES
1.

Drawing and photographs of the Pilot plant and Laboratory

129

2.

Description of the analytical methods

139

-50.

SUMMARY AND CONCLUSIONS

Although there is a vast number of wastewater treatment plants operating throughout the
world, it is a well-known fact that many of them don't meet the standards they were
designed for, particularly in plants treating mixed wastewaters (domestic and industrial).
The problems usually affecting the plants are influenced by the following basic factors:
sludge acclimatisation capacity to industrial wastes, flexibility and controlability of the
process, secondary settling performance and aeration capacity.
Knowing these, it was the purpose of the research to investigate a new process called
FMCT process (FMCT: food mass control technology) that is a new modification of the
activated sludge system. FMCT system includes a big settling tank which allows for
storage of biomass and control of F/M-ratio under varying load conditions. The new
process was supposed to provide the following advantages over the conventional system:
Better adjustment of biomass to instantaneous needs.
Reduction of aeration tank volume using concentrations of 5-8 g MLSS/1.
Reduction of energy consumption in aeration tanks.
Better quality of treated wastewaters.
Lower volume of excess sludge.
Lower probability of bulking problems.
A pilot plant study has been carried out in Galindo (Spain) primary treatment full scale
plant, treating mixed wastewaters (domestic and industrial) in two parallel lines, one
working with the CONV system and the other with FMCT system.

- 6-

Seven intensive study periods were carried out covering a range of temperatures: 8" C
to 2? C, and F/M-ratios: 0.15-0.60 (kg BOD/kg VSS.day).
A new mathematical model based on the IAWPRC activated sludge model no. 1 was
developped for the new system giving special attention to model the secondary settler.
The effluent quality found in both systems is well below the proposed EEC standards.
The soluble inert COD in the effluent is approximately 30-40 mg/1. Increasing F/Mratio increases soluble COD in the effluent having decreasing temperature a similar
effect.
Nitrification rates were low due to low pH and low alkalinity. Calculated nitrification
rates with IAWPRC activated sludge model no. 1 for pH-(7-7.5) were normal so no
additional inhibitory effects on nitrification was detected.
The yield is highly influenced by temperatures and F/M-ratio. For similar F/M-ratio the
yield at ffC was approximately twice the yield at 23° C.
The new system has proved to allow for better adjustment of biomass to instantaneous
needs due to storage of large amounts of biomass in the big clarifier. Other advantages
observed were: less occurrence of bulking and foaming problems, excess sludge volume
lower due to higher concentrations reached in secondary settler and sludge produced was
more stabilized with lower percentage of volatile suspended solids.
The mathematical model has shown to be a valuable tool for interpretation of
experimental results and for description of the actual settler performance and the
performance of the biological reactors.

INTRODUCTION
Bilbao is a coastal city in northern Spain which has about 1,000,000 habitants in
its drainage area. Sizable industry discharges its wastewaters to a severely polluted
estuary as well.
The "Consorcio de Aguas de Bilbao, Abastecimiento y Saneamiento" (CAGB), is
a public company owned by 24 municipalities.
Now the sewerage scheme in Bilbao is being developed and the wastewater
treatment plant of Galindo is in operation providing primary treatment to about
150,000 p.e. since July 1990.
The next stage in the scheme will be the construction of the biological treatment
in Galindo wastewater treatment plant as well as the construction of new sewers.
For that purpose a pilot plant was built in 1981 in order to investigate the
performance of biological treatment with the Bilbao wastewater. During the
period 1981-1987 several investigations were conducted in the pilot plant; resulting
in great experience to a Consorcio team that becomes specialised in biological
wastewater treatment processes as well as analytical methods.
Although there is a vast number of wastewater treatment plants operating
throughout the world, it is a well-known fact that many of them don't meet the
standards they were designed for. The problems usually affecting these plants are
influenced by five basic factors:
- sludge acclimatization capacity to industrial wastes;
- flexibility of the process;
- controllability of the process;
- secondary settling;
- aeration capacity.

-8-

The effects of deficiencies in these five areas produce the typical problems such
as:
- sludge bulking and flotation;
- scum production;
- inhibition caused by toxic agents;
- high consumption of electricity;
- poor performance in the treatment
Knowing these, it was the purpose of the Consorcio to investigate new designs and
operational strategies for biological treatment of mixed (domestic and industrial)
wastewaters. The new process to investigate was called FMCT process (FMCT:
Food to Microorganisms Control Technology). FMCT system includes a large final
settling tank which allows storage of biomass and control of F/M ratio under
varying load conditions. The new process was supposed to provide the following
advantages over the conventional system:
1. Better adjustment of biomass to the instantaneous needs.
2. Reduction of aeration tank volume using concentrations of 5 to 8 g/1 of mixed
liquor suspended solids.
3. Reduction of energy consumption in aeration tanks.
4. Better quality of treated wastewaters.
5. Lower volume of excess sludge.
6. More stable sludge with a lower proportion of volatile suspended solids.
7. Better sedimentation characteristics of the sludge with lower probability of
bulking problems.
To investigate the new process the pilot plant was modified having two parallel
lines one working with the Conventional (CONV) system and the other with the
FMCT system. The pilot plant was provided with cooling systems to carry out
experiments at low temperatures (8°C).

-9The investigation project was presented in the DG XII by the Consorcio de Aguas
de Bilbao and EVE (Ente Vasco de la Energia). Prof. Mogens Henze from the
Technical University of Denmark was in charge of developing a mathematical
model for the new system giving special attention to model the secondary clarifier.
During the investigation Prof. Peter Grau from the Prague Institute of Chemical
Technology became involved in the project giving valuable advice in activated
sludge population dynamics.
The pilot plant was installed in the Galindo wastewater treatment plant were it
was fed with mixed wastewaters (domestic and industrial). The experiments have
being performed during two years and finished in March 1991.

-102.

PILOT PLANT DESCRIPTION
As described in the previous chapter the plant is equipped with two lines or
processes which can be used in parallel. One of the lines is the conventional
completely stirred activated sludge tank followed by a traditionally sized final
clarifier, so called CONVentional process (CONV), while the other system has
much larger final clarifier. The system is called "Food to Microorganisms ratio
Control Technology" (FMCT). A flow diagram of the pilot plant is shown in
Figure 2.1.
The sewage treatment lines consist of the following:
- pumping of domestic sewage;
- mixing, homogenization and distribution to the two lines of both domestic and
industrial sewage;
- primary settling;
- biological reactor for activated sludge;
- secondary settling;
- sludge recirculation.
For the sake of completeness and for industrial waste composition purposes, the
following is available:
- incoming industrial waste storage tanks;
- means for homogenization, preparation and dosage of industrial wastes.
A detailed drawing of the pilot plant is included in Annex 1.

of secondary settler
recirculation capacity
AERATION TANKS AND SECONDARY SETTLER WERE THEfîMICAU.Y INSULATED
FOB LOW TEMPERATURE EXPERIMENTS
■at^Mg'-'»- ::...; / ' f t B g a i a s g s B B —

t=MC'r^ 2 - limali

12-

Fig. 2.2. GENERAL VIEW OF PILOT PLANT

Fig. 2.3. INDUSTRIAL WASTES STORAGE TANKS

- 13-

Fig. 2.4. AERATION TANK CONTROL METERS

äöaa _ .
**•' '

:

: *

I •• • •

wrosi» i ¿TU!

Fig. 2.5. PILOT CONTROL ROOM

-142.1.

Pumping of domestic sewage
In a well two submersible pumps are placed, one as a spare pump, of the
displacement type and protected by a bar screen for solids, hand-operated but
designed for self-cleaning.
The flow rate of each pump is 15 m 3 /h, the impulse pipe is made of
polypropylene, 1,000 m in length and 2.1/2" in diameter

and flows into a

homogenization chamber where an agitator mixes domestic and industrial wastes
adequately. Distribution to each line takes place through two weirs. The flow rate
to each unit is controlled.
Pumping characteristics

2.2.

No. of pumps

2

Unit flow rate

3/

15 m h

Power

5.5 kW

Type of runner

Displacement

Impulse piping

2.1/2" dia. Polypropylene

Primary settling
Each sewage treatment line is equipped with a primary settler 2.2 m in diameter,
made of steel plates and protected with epoxy paint.
The sewage flows in through a pipe into a central distribution well; it flows out by
gravity through a V-notched weir.
The bottom- is conical shaped, without scrapers, and the sludge is removed by
means of an automatic, programmed pneumatic valve.

- 15-

Primary settling characteristics

2.3.

Design flow rate

3 m3/h each settler

Diameter

2.2 m

Overflow rate

0.79 m/h

Total volume

12 m3

Biological reactor
Each line is equipped with a 18 m3 tank, where biological reactions take place.
Supply of oxygen is made by means of two blowers (one for each line), which
inject air into the reactor through fine-bubble ceramic diffusers.
Cooling coils are inside the reactors in order to enable carrying out tests at
temperatures lower than ambient temperature. The reactors are, therefore,
thermally insulated.
To prevent solids from settling when the airflowis low, each reactor is fitted with
a submerged propeller.
In each reactor tank, the pH, dissolved oxygen and temperature are continuously
controlled, the last two parameters acting automatically on the supply of air and
on the refrigerating equipment.

- 16

Biological reactor characteristics

2.4.

Volume

18 m3

Material

Steel plates, protected by epoxy paint

Design retention time

6h

Air injection flow

125 m3/h each blower

Thermal insulation

Expanded polystyrene

Temperature reduction

Vaporization coils

Secondary settling
The conventional line is equipped with a secondary settler 2.2 m in diameter,
made of steel plates; the FMCT line has a 4 m diameter settler, also made of steel
plates.
In both settlers sewage flows in through a central baffle well and overflows
through a V-notched weir.
The bottom is of conical shape; the 4 meter diameter settler was equipped with
a bottom scraper.
For low-temperature operation both settlers are insulated by means of a layer of
expanded polystyrene.

- 17-

Secondary settler characteristics
Conventional Line FMCT Line
2.2

4

0.79

0239

kg/(m2.h)

4.14

535

Thermal insulation

Expanded polystyrene

Diameter m
Overflow rate

m/h

Aplied solids flux

Total volume

2.5.

m3

12 m3

405

Sludge recirculation
The CONV line is equipped with two Mono rype pumps, capable of a variable
flow rate by means of frequency converters operated from the central panel.
The FMCT line has three pumps with the same features, whereby the recirculating capacity is increased.
There exists a continuous control on the flow of sludge which is being recirculated, with a direct reading on the panel.
Sludge recirculation characteristics
Conventional Line
No. of pumps

2

FMCT Line
3

Unit flow rate

0.6-4 m3/h

l-6m 3 /h

Recirculation rate

0.7-3 m3/h

2-12 m3/h

Flow rate variation

Frequency converter

- 182.6.

Incoming industrial wastewater reception
There is a set of 5 m3 m cylindrical tanks, made of glass-fibre reinforced
polyester, for the reception of concentrated industrial wastewaters.
Each tank contains a vertical mixer driven by a slow-speed .motor for the
homogenization of wastes received by tank trucks at variable intervals.
Each tank is fitted with a bottom-discharging valve through which a part of
each type of waste is removed to the 20 m3 joint preparation tank.

2.7.

Homogenization. preparation and dosage of industrial wastes
There is a homogenization and preparation tank where the various types of
industrial wastes are brought together, mixed and diluted. After preparation,
the whole mixture is transferred into another storage tank, whence it is finally
dosed, by means of a variable flow pumping unit, into the general inlet trough
where it is mixed with domestic sewage.
Both the preparation thank and the industrial waste dosage tank have a 20 m3
capacity.

-193.

METHODOLOGY
In the course of the research work, seven intensive study periods were carried
out under different operating conditions of the pilot plant.
In Periods 1 and 2 temperatures were maintained in the 14°C region (Winter).
In Period 3 the temperature was about 20°C (Spring).
In Periods 4 and 5 the temperature was kept in the 23°C region (Summer).
Finally, in Periods 6 and 7 (Winter) the cooling systems installed in the
aeration tanks were used, the temperature being kept at about 8°C. Ambient
temperature during the latter periods was 10-12°C.
At each temperature two different conditions of F/M ratio were tested.
In between the various intensive periods there were transition periods in which
the pilot plant was stabilized to the specific operating conditions which were
subsequently maintained during the next intensive period.

3.1.

Research schedule
Period 1: 16-19 Jan. '90

Temperature approx. 13°C

CONV. Line

F/M = 0.376

FMCT Line

F/M = 0.275

Period 2: 26 Feb-26 Mar '90

Temperature approx. 16°C

CONV. Line

F/M = 0.405

FMCT Line

F/M = 0.174

-20

Period 3: 16-30 May. '90

F/M = 0.845

FMCT Line

F/M = 0.22

Period 4: 9-24 Jul '90

Temperature approx. 23°C

CONV. Line

F/M = 0205

FMCT Line

F/M = 0.162

Period 5: 20 Aug-3 Sep '90

Temperature approx. 23°C

CONV. Une

F/M = 0.4

FMCT Line

F/M = 0.282

Period 6: 14-31 Jan '91

Temperature approx. 8°C

CONV. Line

F/M = 0.231

FMCT Line

F/M = 0.207

Period 7: 18 Feb-8 Mar '91

3.2.

Temperature approx. 19.5°C

CONV. Line

Temperature approx. 8°C

CONV. y ne

F/M = 0.579

FMCT Line

F/M = 0.429

List of sampling points and general sampling strategy
For identification of the sampling points, the following codes have been used:
First character Identifies the treatment line.
C:

CONV

U:

FMCT

-21 Other characters: Identify the location of the sampling point.
TJWO: domestic sewage
IWO: industrial waste
SPO:

influent into plant - domestic and industrial mixture

SPI

effluent from primary settling

SP2;

contents of aeration tank

SP3

effluent from aeration tank

SP4:

effluent from secondary settling

SP5

re-circulated sludge from secondary settling

SP6:

sludge from mixed liquor

SP7:

sludge removed from primary settling

Sampling points scheme is shown in figure 3.1
Types of samples taken are as follows:
Type 1: composite - 24 hours (500 ml samples taken hourly)
Type 5: grab taken at 9:00 hrs
Type 6: grab taken at 17:00 hrs
Type 7: grab taken at 01:00 hrs
Both during the intensive and transition periods, the following samples were
taken on a daily basis:
1) SPO:

composite sample from 24 hrs, influent to pilot
plant.

2) CSP1 and USP1:

composite sample from 24 hrs, effluents from the
primary settling.

3) CSP4 and USP4:

composite sample from 24 hrs, final effluents.

4) CSP2 and USP2:

3 grab samples daily (9hrs, 17 hrs and 01 hrs),
mixed liquors.

FIG. 3.1: SAMPUNG POINTS

PILOT PLANT

LINE CONV

AER AVON
TANK

MIXING TANK

RECIRCULACtON





EFFLUENT

WASTED

SP.)

...LINE FMCT


RECIRCULAVON



SLUDGE

EFFLUENT

WASTED

SLUDGE

IW2 1
INDUSTRIAL

PI

f IW3

WASTE

L^^_^

DOSING
INDUSTRIAL

TANK
WASTE

MIXING TANK FOR
INDUSTRIAL
WASTE

DOMESTIC WASTE
IW5 J

I IW6

-23-

5) CSP5 and USP5:

3 samples daily (9 hrs, 17 hrs and 01 hrs) of recirculated sludge.

At the end of each intensive period, additional samples were taken:
6) CSP7 and USP7:

Grab sample of primary sludge at 9 hrs.

Sampling was done manually, by the plant operators in all cases, except for
variability studies, when samples were taken by automatic samplers.
Upon completion of the last two intensive periods, a special sampling was
made to define the varying conditions in the pilot plant. This sampling was
carried out by taking samples every 2 hours for a 24 hours period, each
individual sample being independently analyzed.
The analyzed sampling points were as follows:
CSP1: effluent from primary settling, CONV line
USP1: effluent from primary settling, FCMT line
CSP4: effluent from secondary settling, CONV line
USP4: effluent from secondary settling, FCMT line
CSP3: effluent from aeration tank, CONV line
USP3: effluent from aeration tank, FCMT line
CSP5: re-circulated sludge, CONV line
USPS: re-circulated sludge, FCMT line

-243.3. List of analyzed parameters
The following groups are distinguished:
Group 1. General parameters
TSS

Total Suspended Solids (mg/L)

VSS

Volatile Suspended Solids (mg/L)

CODT

Total Oxygen Chemical Demand (mg 02/L)

CODS

Soluble Oxygen Chemical Demand (mg 02/L)

BODT

Total Oxygen Biochemical Demand (5 days) (mg 02/L)

BODS

Soluble Oxygen Biochemical Demand (5 days) (mg 02/L)

TKNT

Kjeldahl Total Nitrogen (mg/L)

TKNS

Kjeldahl Soluble Nitrogen (mg/L)

NH4-N

Ammonia Nitrogen (mg/L)

N03-N

Nitrate Nitrogen (m'g/L)

ALCALT Total Alkalinity (mmol HC03-/L)
P TOT

Total Phosphorus (mg/L)

P04-P

Dissolved Orthophosphate P (mg/L)

SULF T

Total Sulfides (mg/L)

CL"

Chlorides (mg/L)

O&G

Oils and Greases (mg/L)

Group 2. Special parameters
Phenols
Deterg.

Phenols (mg/L)
Anionic Detergents (mg/L)

CN-T

Total Cyanides (mg/L)

Ca T

Total Calcium (mg/L)

Mg T

Total Magnesium (mg/L)

-25

Cd T

Total Cadmium (mg/L)

Cr T

Total Chromium (mg/L)

Cu T

Total Copper (mg/L)

Ni T

Total Nickel (mg/L)

Pb T

Total Lead (mg/L)

Zn T

Total Zinc (mg/L)

As T

Total Arsenic (mg/L)

Hg T

Total Mercury (mg/L)

Group 3. Specific analyses of sludge
TSS

Total Suspended Solids (mg/L)

VSS

Volatile Suspended Solids (mg/L)

SVI

Sludge Volume Index (ml/g)

ESP. GRAV.

Specific Gravity

ISV

Initial Settling velocity (cm/min)

SV

Volume Settled Within 30 min (ml/L)

OUR

Oxygen uptake Rate (mg O^L. h)

SOUR

Specific Oxygen Uptake Rate (mg 0 2 /g.h)

H. BLANKET

Sludge Blanket Height (m)

MICROSCOPIC Examination

Analyses Schedule During Intensive Periods
On sewage samples: Type 1 (composite from 24 hrs)

-26

1

1 Frequency

1 Daily

| Three times
| per week

SPO

i

CSP1 | USPl

CSP4

TSS

CODT

BODT

TKNT

USP4 |
1
NH4-NI

VSS

CODS

BODS

TKNS

N03-NI

P04-P

Al cal

P TOT

Cl

0 &G

Ca

Fe

Pb

Phenols

Mg

Zn

Mn

Deterg.

Cu

Ni

Hg

Sulfides

Cr

Cd

Cyanides

On sludge samples: Types 5, 6 and 7 (grab samples, taken at 9, 15 and 01 hrs)

27 -

I

SP2-5 ¡SP2-6¡SP2-7¡SP5-5¡SP5-6¡SP5-7¡

1

i

|
|
i

I

i

TSS

|
I

i

SV
I

Blanket H
-

i

i

i

SP7

VSS

|

|

|

i

1 Daily
|
|

¡ Sp. Gr.j
| ISV
|
| OUR
|

|

¡Twice
|per Week

¡ Micro. ¡
| Anal
j

¡
j

|
|
¡Only Once,¡Ca
¡at the End¡Cu
¡of each
¡Fe
¡Intensive ¡Zn
¡Period
¡Pb Mn

|
Mg¡
Cr¡
Ni¡
Cd|
Hg¡

¡

i

|
|

i

i

|
|

|
|
|

i

l

¡
¡

|TSS VSS|
¡Ca
Mg¡
¡Cu
Cr¡
¡Fe
Ni¡
¡Zn
Cd|
¡Pb Mn Hg¡

During transition periods
During the transition periods the same analysis with the same frequency were
carried out as during the intensive periods, except for the sewage samples,
were the following parameters were omitted: CODs, BODg, TKNS and P
TOT. During the transition periods no samples were taken in SP7.

3.4. List of parameters measured in the plant on a continuous basis
All continuous measurement signals were received at a data acquisition unit
connected to an IBM PC computer, where they were processed by means of
the software Labtech. Notebook, the configuration of which enabled the data

-28-

to be instantaneously transmitted from each meter to the printer every 15
minutes; thus, a daily printout with 96 entries was produced. The data printed
every 15 minutes; represent the average value of all signals received during
such a period of time. Summary printouts were also produced daily, listing
the maximum, average and minimum values for each meter, as well as the
total values.
Parameters measured on a continuous basis are as shown below:
Instantaneous Measurements
1. Flow Rates
FI-1
FI-2
FI-3
FI-3'
FI-4
FI-4'
FI-5
FI-5'

Domestic sewage Influent
Industrial influent
Influent to the CONV line
Influent to the FMCT line
Sludge recirculation - CONV line
Sludge recirculation - FMCT line
Air to aeration tank - CONV line
Air to aeration tank - FMCT line

2. Temperatures
TI-1
TI-2
TI-2'
TI-3
TI-3'

Mixing tank for domestic sewage and industrial waste
Mixed liquor - CONV line
Mixed liquor - FMCT line
Secondary settler - CONV line
Secondary settler - FMCT line

3. pH
PHI-1
pHI-2
pHI-2
pHI-3
pHI-3'

Mixing tank for domestic sewage and industrial waste
Mixed liquor - CONV line
Mixed liquor - FMCT line
Secondary settler - CONV line
Secondary settler - FMCT line

294. Dissolved Oxygen
OIC-1
OIC-1'

Mixed liquor - CONV line
Mixed liquor - FMCT line

Totalized measurements
1. Flow Rates
FQ-1
FQ-2
FQ-3
FQ-3'
FQ-4
FQ-4'
FQ-5
FQ-S'

Domestic sewage influent
Industrial influent
Influent to the CONV line
Influent to the FMCT line
Sludge recirculation - CONV line
Sludge recirculation - FMCT line
Air to aeration tank - CONV line
Air to aeration tank - FMCT line

2. Power Input
Ul
U2
U3
U4
US

Blowers - CONV line
Recirculation pumps - CONV line
Blowers - FMCT line
Recirculation pumps - FMCT line
Recirculation pumps - FMCT line

3.5. Total number of samples and analysis
Research work covered a total of 610 days, split in 489 days of transition
periods and 121 days of intensive periods. The number of samples processed
during the transition periods is estimated at 8,313, on which 55,743 parameters were analyzed; during the intensive periods some 2,071 samples were
taken and a total of 16,397 parameters analyzed.
Therefore, the total number of samples taken during the investigation was
10,384, on which 72,140 parameters were analyzed.

-303.6. Scientific and technical team
Miguel Lueje (CAGB - Mechanical Engineer)
Alejandro de la Sota (CAGB - Biologist)
Alberto Gómez (CAGB - Assistant Mechanical Engineer)
Prof. Peter Grau (Scientific Consultant, President of IAWPRC)
Prof. Mogens Henze (Technical university of Denmark, Modelling Expert)
René Dupont

(Technical University of Denmark, Modelling Expert)

Analytical Control
Karmele Zaballa (Biologist)
Juan M' Cenigaonaindia (Chemist)
Cristina Arrieta (Chemist)
José Antonio González (Chemical Technical Engineer)
Itziar Unzueta (Biologist)
Roberto Colino (Biologist)
Ma Jesus Citores (Chemist)
Marian Bilbao (Chemical Technical Engineer)
Itziar Aretxabala (Chemical Technical Engineer)
Pilot Plant Operation
Luis Angel Bilbao,

Coordinator (Merchant Navy Chief Engineer)

Ricardo Gómez (Electronics Technician)
Rafael López Heredia (Electronics Technician)
Antonio Malave (Electrical Technician)
Vicente Carro (Mechanical Technician)
An tol in Trancho (Electronics Technician)
Francisco Gutiérrez (Electrical Technician)
Esteban Garcfa (Electronics Technician)
Iñaki Zorrilla (Energetic Efficiency Technician)

31

3.7. Analytical Methods
All analytical methods employed conform to "Standard Methods for Sewage
Analysis", 17th Edition, 1989.
The analytical methods used are listed hereunder.

3.7.1. General Parameters
TEMPERATURE
pH
DISSOLVED OXYGEN
TOTAL SOLIDS
TSS
VSS
CODT
CODs
BODT
BODs
TKNT
TKNS
NH4-N
NO3-N
ALKALINITY
PTOTAL
P04-P
SULPHATES
TOTAL SULPHIDES
CHLORIDES
OILS & GREASES

Meter installed in the plant
Meter installed in the plant
Meter installed in the plant
Evaporation and drying at 105°C. Gravimetry
Filtering through glass fibre. Drying at 105 °C.
Gravimetry
Filtering. Ignition at 550°C. Gravimetry
Open reflux method. Oxidation by potassium
dichromate for two hours.
Membrane filtering. Two hours of open reflux
Dilution method. Dissolved oxygen
readings through probe
Membrane filtering. Dilution method
Acid digestion. Distillation and ammonia analysis.
Membrane filtering and application of the abovenamed method
Nessler colorimetrie method
Chromotropic acid method
Neutralization at Ph = 3.7
Acid digestion, orthophosphates analysis
Vanadate-Molybdate method.
Precipitation with barium salts. Gravimetry
Precipitation. Filtering and titration with sodium
thiosulphate
Titration with silver nitrate
Extraction by freon. Evaporation and
gravimetry.

3.7.2. Special Parameters
PHENOLS

Distillation and colorimetry of distillate with 4aminoan tipyrine. Prior extraction with chloroform.

-32

ANIONIC DET.
TOTAL CYANIDES
TOTAL METALS

Standard LAS. Colorimetry with methylene blue.
Distillation in acid medium. Selective electrode
method
Digestion by nitric acid. Analysis of metals by means
of atomic absorption spectrophotometry.

3.7.3. Sludge Analysis
TSS
VSS
SET. VOLUME
SPEC. GRAV.
ISV
OUR
BLANKET HEIGHT
MICR. ANALYSIS

Filtration through glass fibre. Drying at 105°C.
Gravimetry.
Filtration. Ignition at 550°C. Gravimetry
30-minute settling in a 1-litre cylinder.
Gravimetry
Settling curve in a 2-litre graduated cylinder
Probe measurement of the oxygen decay rate in a
BOD bottle
Height in meter from the bottom of the settling tank
to the interphase between the settled sludge and the
supernatant.
Observation of sludge under the microscope. GRAM
and NEISSER staining.

-334.

OPERATING STRATEGY
The plant has been treating a mixture of domestic sewage and industrial
waste of the following constant ratio:
85% by volume - domestic
15% by volume - industrial
The industrial waste was prepared from concentrated pickling liquors. The
final mixture had a concentration of approx. 20 ppm iron. Iron was the
component with the highest concentration in the industrial waste that was
handled.
Pumping facilities for the domestic sewage were located in a municipal
collector at Sestao, from August 1989 till June 1990. Pumping was continuous
from 06 hrs to 22 hrs; there were conditions of intermittent pumping during
the night due to the low flow rate of the collector, aggravated by the drought
and the water supply restrictions that prevailed in the district during that
time.
From June 1990 till the completion of the Project, the pumping facilities were
located at the Galindo Treatment plant, pumping being constant 24 hours a
day ever since.
Control and operation of the plant was carried out, throughout the project, by
the responsible technical personnel, 24 hours per day, 7 days per week.
The start-up of the pilot plant, prior to the formation of biomass in the
aeration tanks, was based on domestic sewage. During that time, operating
conditions in both lines were maintained as follows: 3 m3/h influent rate,
100% recirculation and dissolved oxygen levels of 2.5 mg/L.

-34-

Once sufficiently high concentrations of MLSS were reached, the
acclimatization phase for industrial waste was initiated. Industrial waste was
prepared from pickling liquors with high acidity and metal concentration
(HCl-Fe and H2S04-Cu-Ni).
This mixture was diluted with clean water and mixed prior to entering the
plant, with no previous neutralization. The concentration was increased by
10% daily, until 100% was dosed in ten days time.
Once 100% of industrial waste was reached in the mixture to be treated, a
considerable deterioration of the effluent was observed and it was, therefore,
decided to neutralize the industrial waste at Ph = 7 prior to the treatment.
The pre neutralization was effected with NaOH.
Influents treated in each line were:
2.5 m3/h
0.5 m3/h
Total

= 3.0m3/h

Domestic sewage
Industrial waste
Mixture

From that moment on, the operating strategy can be divided into two parts,
depending on the fundamental parameter of the process control selected:
Control Parameter: Sludge Age (9x)
Control Parameter: Mass Load ratio (F/M)

4.1. Control Parameter ; Sludge Age (8x1
Operation criteria for periods 1, 2 and 3.
As operating conditions we considered: dissolved oxygen, the recirculation
rates and wasting rates.

-354.1.1.

Conventional line
Dissolved Oxygen
The D.O. concentration in the aeration tank was kept at a preset value, 1.5
mg/L, by means of an oxygen controller which receives a signal from a meter
of the electrode probe type which, depending on the set point, actuates a
speed variator which regulates the blowers, which respond to changes in the
dissolved oxygen. The blowers increase or decrease the air supply to the
aeration tank.
Recirculation Rate
Departing from the result of the 30-min settling test, the recirculation rate to
be applied was calculated as follows:
Qr

SV

Qi

1000 - SV

where: Qr

x 100

(4.1)

Recirculation flow

Qi

Influent flow

SV

Settled volume after 30 minutes.

Figure 4.1 can be used to calculate the recirculation rate as a function of the
settled volume.
Wasting rate
When the sludge age established in each case is known, the wasting rate
needed to maintain the sludge age constant is calculated as follows:

Fig.4.1.Chart for calculation of recycle
flow as a function of settled volume
test.
Recycle (low (%)

GO

O)

150

200

250

300

Settled volume (SV ml/L)

350

400

450

500

37Va

SSe. Qi

Øx

MLSS

Qw =

where: Qw

v innn

i A 'M

Wasted flow (l/d)

Va

Volume of aeration tank (m3)

Gx

Sludge age (d)

SSe

Total suspended solids in effluent (kg/m3)

Qi

Influent flow (m 3 /d)

MLSS

Total suspended solids in mixed liquor (kg/m3)

Wasting was carried out intermittently from the mixed liquor.
Another factor which was taken into account when carrying out the
recirculation rate and wasting operations was the height of the sludge blanket
in the secondary settling tank which, occasionally, due to bad settling
characteristics of the sludge, rose to the extent that it caused loss of solids
into the effluent. To preserve the characteristics of the effluent, the option
was taken to increase the rate of recirculation by an additional 50% for two
hours, with a maximum limit of 4.5 m3/h, and to waste 1 m3 of mixed liquor.

4.1.2. FMCTLine
Dissolved Oxygen
D.O. in the aeration tank was controlled automatically in the same way as in
the conventional line and kept at a level of 2.5 mg/1.

-38Recirculation rate
Initially, the recirculation rate was adjusted three times per day, calculations
being made according to the above formula (4.1). Later, recirculations in the
40 - 60% range were effected and, finally, recirculation rate charts were used,
calculated as a function of the variation in the total organic load. Adjustment
took place every hour.
One of the charts used is shown in Figure 4.2.
Wasting rate
Wasting was taken from the mixed liquor three times a day, at 8 h intervals,
calculated as per formula (4.2). Each wasting was 1/3 of the total daily waste.
To facilitate calculations, individual charts for each sludge age were designed,
wherein the wasting rate is given as a function of the total suspended solids in
the effluent and the total suspended solids in the mixed liquor.
One example is shown in Figure 4.3

42.

Control parameter : Mass load ratio (F/MÌ
It was the operating criteria during periods 4, 5, 6 and 7. Control was the
same for both lines. The operating parameters considered in this case are:
dissolved oxygen, influent flow rate, recirculation rate and sludge wasting.

Fig.4.2.Recycle flow curve used in FMCT
line for periods 2 and 3.The curve fo­
llows the CODi variation in 24 h.
Reoycle Flow (%)

00


80-



......

60-







­

­

1

40-

\

i

v

........

■■.

\
20-

o-

1
1 —
i
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24
Hours

Fig.4.3.Chart for calculation of wasting
flow as a function of MLSS and TSSe for
0a-2O days.
300
250
200-

15010050-

Qw (L/8 hours)
-—

SSe-10ppm

-+-

SSe«20ppm

-*-

SSe-30ppm

-B-

SSe-40ppm

-K-

SSe-50ppm

-e-

SSe-60ppm

-A

SSe-70ppm

-S-

SSe-80ppm

o

-41 Dissolved Oxygen
The set point for CONV line = 1.5 mg/1, FMCT line = 2.5 mg/1, being
established, this was maintained automatically as described above. Higher DO
in FMCT line was selected to provide sufficient concentration gradient of
oxygen for the higher MLSS.
Influent Flow Rate
After establishing the F/M ratio to be maintained during the period under
consideration, the influent flow rate was calculated daily, depending on the
volatile suspended solids 'in the mixed liquor and the chemical oxygen
demand of the influent, by applying the following formula:
F/M . MLVSS . Va
Qi =

BOD

(4.3)

BOD = 0.44 COD
where: Qi
BOD

Influent flow (m3/d)
Biochemical oxygen Demand (kg/m3)

MLVSS Volatile suspended solids in mixed liquor (kg/m3)
Va

Aeration tank volume (m3)

COD

Chemical Oxygen Demand (kg/m3)

This is displayed in Fig. 4.4.
Recirculation rate
This was adjusted as high as necessary, to prevent sludge from floating in the
secondary settling tank as a result of de-nitrification. During low-temperature
periods, when these flotation problems did not occur, the recirculation rates
were smaller, about 50%.

Fig.4.4.Chart for calculation of in­
fluent flow as a function of MLVSS
and CODi for F/M ■ 0.5
Ql (m3/h)
■Iß—,

1D

141210-

I
—*— C O D - 3 0 0 mg/l
-4-

C O D - 3 5 0 mg/l

-*-

C O D - 4 0 0 mg/l

-B-

C O D - 4 5 0 mg/l

-*-

C O D - 5 0 0 mg/l

~~r^\

Ä—*

8-

^^^"^

\

\

6- -

<£~*<Z^ fr__

4j

^

"

*

^

^

^

"

*

"

"

^



2-

o500

1000

1500

2000

2500

3000

MLVSS (mg/l)

3500

4000

4500

5000

-43Wasting rate
Wasting were carried out depending on the height of the sludge blanket in
the secondary settler.
During high-temperature periods (4 and 5), limits of 3.2 m for the CONV
line and 3.7 m for the FMCT line were established.
Considering that the concentration of total suspended solids in the effluent
was too high with respect to good sludge settling characteristics during hightemperature periods and on the assumption that this might be due to
excessive blanket height, the decision was made to decrease it; for lowtemperature periods (6 and 7) the limits were set at 2 m. for the CONV line
and 3.5 m. for the FMCT line.

-44RESULTS
In this chapter are included all the average results for each intensive period.
This results are discussed later in chapter 7.

45
TABLE 5.1.

OPERATING CONDITIONS IN INTENSIVE PERIODS

TABLE 5.2.

HYDRAULIC DATA

TABLE 5.3.

INFLUENT TO PILOT PLANT (Domestic & Industrial)

TABLE 5.4.

METALS IN INFLUENT TO PILOT PLANT (Domestic & Industrial)

TABLE 5.5.

PRIMARY CLARIFIERS EFFLUENT CSP1/USP1

TABLE 5.6.

METALS IN PRIMARY CLARIFIERS EFFLUENT CSP1/USP1

TABLE 5.7.

FINAL EFFLUENTS CSP4/USP4

TABLE 5.8.

METALS IN FINAL EFFLUENTS CSP4/USP4

TABLE 5.9.

DIURNAL VARIATIONS CONVENTIONAL SYSTEM

TABLE 5.10.

DIURNAL VARIATIONS FMCT SYSTEM

TABLE 5.11.

ACTIVATED SLUDGE MASS BALANCE (1)

TABLE 5.12.

ACTIVATED SLUDGE MASS BALANCE (2)

TABLE 5.13.

SLUDGE QUALITY

TABLE 5.14.

METALS IN PRIMARY SLUDGE CSP7/USP7

TABLE 5.15.

METALS IN ACTIVATED SLUDGE CSP2/USP2

TABLE 5.16.

AERATION PARAMETERS

TABLE 5.17.

ENERGY CONSUMPTION

TABLE 5.18.

SLUDGE AGE CALCULATION

TABLE 5.1: OPERATING CONDITIONS IN INTENSIVE PERIODS

PERIOD
DATE

FA< (kgBOtVkgMLVSS.day)

1
2
16-29 Jan 90 26Feb-26Mar 90
CONV
FMCT
FMCT
CONV

3
16-30 May 90
CONV
FMCT

4
9-24 Jul 90
FMCT
CONV

5
20Aug-3Sep 90
CONV
FMCT

6
14-31 Jan 91
CONV
FMCT

7
18Feb-8Mar91
CONV
FMCT

0,376

0.275

0,405

0.174

0,645

0,22

0.205

0,162

0,4

0.2S2

0,231

Temperature (deg C)

12,9

13.2

15.6

16.4

19.3

19.7

20.6

20,5

22,7

22.6

11.6

8.6

6.4

6.1

Primary aettllng

Yes

Yes

Yes

Yes

No

No

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Yes

Influent flow (Ql) (m'/h)

1.51

3.44

5.9

6.2

2.56

3.14

1.76

6.58

0,207

0.579

0.429

2.53

2.54

2.07

2

2.S

2,3

Recycle flow (Or) (m'/h)

1.91

1.54

1.59

1.56

1,56

6,39

3

9

1.77

4.76

1.26

1.57

1.11

3.29

D.O. (mg/l)

0,97

2.65

1.6

2.07

1.64

1,56

1.53

2.5

1.4

1.4

1.63

2.65

1.93

2.51

1.6

No Detec

1.3

1.5

1.7

1.8

2.9

1.8

3.3

Blanket level (m)

2.1

1.4

2,5

3.1

2.9

pH

7,4

6.8

7.4

7,3

7.4

6.2

6.3

6.2

6.6

6.8

7.4

7.3

7.5

7.2

Total sludge age (daya)

9,6

11.5

6.7

47.4

4.2

27.1

36,8

31,4

10.0

19,7

12.0

.44.4

4.6

13.6

2642

3630

2194

5091

1420

5009

1097

3708

3136

5606

2346

3067

650

3616

MLVSS (mo/I)
Recycla VSS (mg/n

6912

10621

5062

11450

3470

7804

2400

5500

12485

16860

6324

8963

2032

9356

U (KgBOO/kgVSS.day) (1)

0.318

0.254

0.36

0,166

0.795

0,2

0,165

0,153

0.375

0.26

0.22

0.193

0.534

0.392

Sludge wasted (kgVSS/day) (2)

2.036

0.17

6.972

0.789

6

0,702

0

0

0

0

5.416

1.989

3.582

13.43

Effluent sludge (kgVSS/day) (3)

4.752

1.987

1.63

1.273

2.467

3.651

0.7

1,676

4.674

5.335

0.614

0.511

0.349

1.607

Sludge wasted and lost (4)
(KgVSS/day)

6.767

2,157

8.602

2.061

10.467

4.353

0.7

1.876

4.874

5.335

6.031

U

3.931

15.237

0.83

0.B1

0.80

0.76

0.82

0.75

0,79

0.75

0.75

0.73

0.66

0.62

0.73

0.65

MIVSS/MLSS

UUzatlon rata (kg BOO removed/kg MLVSS.(Jay)
Sludge wasted - OwJCa
Effluent sludge • (QI-Ow).VSSe
Sludge wasted and lost - (Ow.Xa) ♦ (QH}w).VSSa

TABLE 5.2: HYDRAULIC DATA
PERIOD
DATE

2
1
16-29 Jan 90 26Feb-26Mar 90
CONV
FMCT
CONV
FMCT

3
16-30 May 90
CONV
FMCT

4
9-24 Jul 90
CONV
FMCT

5
20Aug-3Sep 90
CONV
FMCT

6
14-31 Jan 91
CONV
FMCT

7
18Feb-BMar91
CONV
FMCT

a (domestic ♦ lndustriai)(m'/1i)

2.53

2,54

2,07

2

2,5

2,3

1.51

3.44

5,9

6,2

2.56

3,14

1,76

6.58

Q Industrial (m'/h)

0.37

0.36

0.31

0.31

0,33

0.31

0.19

0,45

0.24

0.34

0.31

0,39

0.14

0,54

Overflow Rate P.S. (m/h)

0.66

0.66

0.55

0,55

0.39

0,9

1.55

2.15

0.67

0.62

0.46

1.73

Retention Time P.S. (h)

4.35

4.33

5.24

5,24

7.29

3.2

1.66

1.34

4,3

.3.5

6.18

1.67

Retention Time A.S. (h)

4,05

4,41

4,67

4,91

4.43

2.7

3.99

1.44

2.34

1.38

4.66

3.62

6,22

1.62

Overflow Rate S.S. (m/h)

0,66

0,2

0,55

0,16

0,65

0,16

0,39

0,27

1,55

0.65

0,67

0,25

0,46

0,52

Retention Time S.S. (h)

4,35

15.93

5.24

19.27

4,4

17,59

7,29

11,76

1.66

4,93

4,3

12.66

6,16

6,15

Solids Surface Load S.S.
(kg/m'.h)

3,62

1,41

2,67

1,95

1.65

4,6

1.65

4,9

6.17

7.76

3.62

1.91

0,64

4.15

2,1

1.4

2,5

3.1

2,9

1.6

No detec

1,3

1.5

1.7

1.6

2,9

1,6

3,3

1.91

1,54

1,59

1,56

1,56

6,39

3

9

1.77

4,76

1,26

1,57

1,11

3.29

Blanket level (m)
<» (m'/h>

P.S.

Primary Settler

A.S.

Activated Sludge

S.S.

Secondary Settler

Or

Recirculation flow

TABLE 5.3: INFLUENT TO PILOT PLANT (Domestic & Industrial)
PERIOD
DATE

2
1
16-29 Jan 90 26Feb-26Mar 90

3
16-30 May 90

4
9-24 Jul 90

S
20Aug-3Sep 90

6
14-31 Jan 91

7
18Feb-8Mar 91

SS (mg/l)

262

343

237

232

260

250

319

VSS (mg/l)

217

260

190

150

177

169

213

B005T(mg/t)

386

375

377

194

234

207

236

148

146

166

35,5

44,9

63

70.3

COO T (mg/l)

1000

622

717

409

508

422

562

COD S (mg/l)

323

330

109,4

127

156

156

TXNT(mg/I)

90.1

61

34,5

34,3

43,9

483

TKN S (mg/l)

74.3

70

23,5

23.5

34,9

37.7

N-NH, (mg/l)

70.6

72.4

63.4

24,4

23.9

30,2

32

N-NO, (mg/l)

0.5

0.3

0.4

0,2

0.2

0,4

0.3

11.4

10,4

14.2

6,1

5.6

5.5

5,8

7.0

9.1

13.2

5.4

5.3

2.5

3.8

8.46

6.46

7.72

4.62

5,98

4,76

4.32

56.3

28,5

51.6

32.3

54,5

B005 S (mg/1)

TOTAL P (mg/l)
P-PO. (mg/l)
ALKAUNITY (mmol/HCO,-)

96

OIL l OREASE (mg/l)

173

66,6 '

SULFIDE (mg/l)

1.5

1.9

2

1.2

1.8

1

1.3

CHLORIDE (mg/l)

142.5

143

91.9

407.6

445.3

233.6

487.9

PHENOLS (mg/l)

0,05

0,043

0,013

0.011

0,052

0.186

SURFACTANTS (mg/l)

12.S

14.4

7.2

8.9

6.8

11.1

CYANIDE T (mg/l)

0.S2

0,178

0.139

0.052

0.15

0.19

14.4

Average values In every period.

CO

TABLE 5.4: METALS IN INFLUENT TO PILOT PLANT (Domestic & Industrial)
PERIOD
DATE

1
2
16-29 Jan 90 26Feb-26Mar 90

3
16-30 May 90

4
9-24 Jul 90

5
20Aug-3Sep 90

6
14-31 Jan 91

7
18Feb-8Mar 91

CaT(mg/l)

50.6

46.1

37,6

72.6

92.2

97.2

129

Mg T (mg/1)

7.4

7,3

5,9

23.1

36.4

24.1

49,3

Cd T (mg/l)

0.003

0,003

0,003

0,002

0.005

0.004

0.004

Cr T (mg/1)

0,049

0.04

0,023

0,045

0,031

0.013.

0,015

Cu T (mg/l)

0.069

0.072

0,065

0.097

0,074

0.06

0,069

Fe T (mg/l)

20

19.6

6.5

24,9

23,5

19

17.3

Mn T (mg/l)

0.191

0.169

0.1

0.239

0.247

0.234

0.233

NI T (mg/l)

0,129

0.126

0.O97

0.131

0,07

0.125

0.091

Pb T (mg/1)

0.076

0,075

0,072

0.09

0,102

0.079

0.075

Zn T (mg/l)

0.257

0,221

0.274

0.25

0.277

0.202

0.126

Average values in every period.

4*
CO

TABLE 5.5: PRIMARY CLARIFIERS EFFLUENT CSP1/USP1
PERIOD
DATE

1
2
16-29 Jan 90 26Feb-26Mar 90
CONV
FMCT CONV
FMCT

3
16-30 May 90
CONV
FMCT

4
9-24 Jul 90
CONV
FMCT

5
20Aug-3Sep 90
CONV
FMCT

6
14-31 Jan 91
CONV
FMCT

7
18Feb-8Mar 91
CONV
FMCT

SS (mg/l)

179

194

63.6

109

133

132

138.2

139.3

158

177

VSS (mg/l)

141

151

63.7

62,8

96.6

99.6

99.3

100.1

113

123

B0O5 T (mg/l)

295

316

114

133

159

143.5

159.1

153.1

161

174

BOOS S (mg/l)

144

145

41

43

57.8

45.5

63.6

63

83

73

COD T (mg/l)

640

674

256

285

326.6

322.4

331.3

341.1

406

418

COD S (mg/l)

29a

116

111

137

139

137.5

140

171

166

TKN T (mg/l)

79

65.2

30.1

30

33.2

33

39.9

39.8

46.6

43.3

TKNS(mg/l)

67

23.6

23.6

26

24.5

33,7

33.5

37.6

36.3

N-NH, (mg/l)

66.4

24.5

23,4

25.2

24,8

29.7

26.4

32.8

30.6

0,4

0.1

0,3

6

5.6

66.1

0.3

0.2

0.2

0,2

0.21

0.16

0,3

TOTAL P (mg/l)

11.4

10.1

6.9

6.7

5,8

5,7

5.1

4,9

P-PO, (mg/l)

11.9

10

5.6

S.5

S.9

S.5

2.7

2,6

4.9

4.1
4.24

519

N-NO, (mg/1)

ALKAUNrTY (mmol/HCO,)

7.76

6.12

OIL t, GREASE (mg/l)

56,9

51.9

1.7

2.1

133.9

132

SURFACTANTS (mg/l)

11.8

14.3

CYANIDE T (mg/l)

0.37

0.22

SULFIDE (mg/l)
CHLORIDE (mg/l)
PHENOLS (mg/l)

Average values In every period.

4.52

4.32

6.16

5.22

4,6

4,56

4,42

295

363

423

381

217

207

438

TABLE 5.6: METALS IN PRIMARY CLARIFIERS EFFLUENT CSP1/UPS1
PERIOD
DATE

Ca T (mg/))

2
1
16-29 Jan 90 26Feb-26Mar 90
CONV FMCT CONV FMCT
41.7

3
16-30 May 90
CONV FMCT

4
5
9-24 Jul 90 20Aug-3Sep 90
CONV FMCT CONV FMCT

6
14-31 Jan 91
CONV FMCT

7
18Feb-8Mar91
CONV FMCT

41.8

Mg T (mg/l)

6.6

6.6

Cd T (mg/I)

0.003

0,002

Cr T (mgfl)

0.019

0,026

0,009

0.013

0,016

0.018

0.006

0.005

0.008

0,008

0.03

0,037

0,037

0,039

0.039

Cu T (mg/I)

0,036

0,046

0.026

0,032

0.031

Fe T (mg/1)

6.6

6.9

5,6

9

9.1

10.5

7.19

7.32

6,41

6.93

Mn T (mg/I)

0,125

0.105

NI T (mg/I)

0,093

0.096

0,072

0,095

0.044

0.047

0.091

0.092

0.068

0,069

Pb T (mg/I)

0,043

0.05

ZnT (mg/I)

0.154

0.172

Average values In every perlod.

TABLE 5.7: FINAL EFFLUENTS CSP4/USP4
PERIOD
DATE

1
2
16-29 Jan 90 26Feb-26Mar 90
CONV
FMCT
CONV
FMCT

3
16-30 May 90
CONV
FMCT

4
9-24 Jul 90
CONV
FMCT

5
20Aug-3Sep 90
CONV
FMCT

6
14-31 Jan 91
FMCT
CONV

95

39.1

41.4

30

53.6

82.9

32,6

27,9

47.2

36.6

12,3

VSS (mg/l)

79.3

32.6

34.9

26

45.7

66.4

26.7

22,7

34.3

27.1

B005 T (mg/l)

54.S

27.8

17.6

17

25.2

38.2

12.7

9.5

16.9

10.8

BOOS S (mg/l)

5.5

4.6

2.2

3

3.9

1.7

2.6

2.5

2.5

COD T (mg/l)

233

134

103

112

COD S (mg/1)

74

79.7

SS (mg/1)

TKN T (mg/l)

50.9

29,4

TKNS(mg/l)

41.9

25,3

N-NH3 (mg/1)

43

N-N03 (mg/l)

6.4

TOTAL P (mg/l)

7
18Feb-8Mar91
CONV
FMCT

8.1

12,5

16.3

10,3

7

9.3

11.7

6

7.1

9

10.9

1,3

2.3

2.7

4.3

4.3

132

143

74.9

64,5

93.3

74.1

SI .6

56

68

67.3

62.8

46.4

27,9

28.1

40

30.4

34

36

47.4

46.9

53

15.5

7,6

7.2

11.9

7.9

31.2

30.5

30.6

30.8

70.1

70.2

47.5

9.8

5.3

5.1

7.1

5.9

28,8

28.3

29.2

29

25,6

56.7

61

46.4

5.2

0.5

0.5

6

Z.8

25,7

25.6

23.2

24.7

11.6

0.5

1.8

0.6

23.7

22.8

22.7

16.6

16.7

0,6

0.6

0.3

0.1

9

9

7.7

7.5

10.9

12,2

5.3

5.8

4.5

4.7

2.8

1.3

3.4

2.4

P-P04(mg/I)

7.9

6.7

6.5

7.8

9.7

11.4

4.4

4.5

4,4

4.5

2.3

0.7

2.5

1.8

ALKALINITY (mmol/HCO,")

5.0

3.2

7.02

7.06

5.74

1.28

0.56

0.64

2.26

2.14

4.16

4.16

3.S4

3.70

127.2

129.8

134.4

133,9

91.6

86.4

276.1

297.8

448.1

457.4

192.9

190

432.2

472.4

1.68

1.4

0.45

0.49

0.04S

0,045

OIL t GREASE (mg/l)
SULFIDE (mg/l)
CHLORIDE (mg/l)
PHENOLS (mg/l)
SURFACTANTS (mg/l)
CYANIDE T (mg/l)
Average values In every period.
Ol
M

TABLE 5.8: METALS IN FINAL EFFLUENTS CSP4/USP4
PERIOD
DATE

CaT(mg/l)

2
1
16-20 Jan 90 26Feb-26Mar 90
CONV FMCT CONV FMCT
49,1

47,2

41

41,1

3
16-30 May 90
CONV FMCT
34,4

4
5
9-24 Jul 90 20Aug-3Sep 90
CONV FMCT CONV FMCT

6
14-31 Jan 91
CONV FMCT

7
18Feb-8Mar91
CONV FMCT

36,9

Mg T (mg/I)

6,97

e.55

6.18

6,17

4,68

9,13

Cd T (mg/I)

0,003

0,002

0,002

0.002

0.002

0.002

Cr T (mg/I)

0.016

0.006

0.011

0.007

0,005

0,014

0.019

0,007

0.011

0.011

0,001

0,001

0,003

0.003

Cu T (mg/I)

0,043

0,026

0.015

0,011

0,01

0,024

0,016

0,017

0,015

0,012

0.011

0.019

0,011

0.01

Fe T (mg/I)

9,4

1,6

1.69

1,02

0,72

3,56

0,37

0.67

0.7

Mn T (mg/I)

0,104

0,092

0.062

0,059

0,037

0.069

0.1

0,063

0.073

0,071

0,03«

0,055

0,061

0,06

0.059

NI T (mg/I)
PbT(mg/I)

0,039

0,026

0,019

0,017

0,024

0,031

ZnT(mg/l)

0,149

0,113

0.033

0,042

0,064

0,019

1.5

1.56

3.56

2,22

0.52

0,064

0,06

0,036

0,031

0.063

Avenge values In every perlod.

Ol
CO

TABLE 5.9: DIURNAL VARIATIONS CONVENTIONAL SYSTEM
DATE: 12-Mar-91 (10:00h a.m.) to 13-Mar-91 (8:00h a.m.). Dry weather conditions.

HOUR

Primary clarifier effluent
mg/l
mg/l
mg/l
COD-T COD-S TKN-T

mg/l
N-NH3

Final effluent
mg/l
mg/l
COD-T COD-S

mg/l
COD-T

Mixed liquor
mg/l
mg/l
COD-S N-NH3

Recycle sludge
mg/l
COD-T

10

323

151

37

29

59

46

697

69

26

2475

12

292

13S

36

32

61

46

551

63

26

1743

14

319

151

45

3a

49

46

844

61

26

1377

67

29

2036

29

2109

16

403

159

45

36

49

44

756

16

356

151

45

35

49

44

1019

63

20

348

159

43

36

49

44

873

53

28

2109

52

26

2546

27

2914

22

364

162

39

30

56

44

697

24

360

143

31

23

49

44

580

46

2

311

131

29

22

49

37

551

54

28

2109

52

25

1616

4

253

111

23

18

49

26

990

6

222

115

22

17

49

28

756

44

25

1743

6

216

67

20

18

52

32

287

36

25

1616

AVERAGE

314

139

34

27

51

40

716

55

27

2066

MAX

403

162

45

38

61

46

1019

69

29

2914

MIN

216

67

20

17

49

28

267

36

25

1377

NOTE: CSP1 samples were taken from 13 Mar 91 to 14 Mar 91. with heavy rain between 2 am to 6 am (1< Mar 91)
Operating conditions tn the Plant as Pertod 7.
CTI

TABLE 5.10: DIURNAL VARIATIONS FMCT SYSTEM
DAY: 12-Mar-91 (10:00h a.m.) to 13-Mar-91 (8:00h a.m.). Dry weather conditions.

Hour

Primary clarifier effluent
mg/l
mg/l
mg/l
COD-T COD-S TKN-T

10

190

12

364

14

475

16

568

251

mg/l
N-NH3

Final effluent
mg/l
mg/l
COD-T COD-S

Mixed liquor
mg/l
mg/l
COD-T COD-S

27

20

SB

41

177

71

56

56

46

4968

273

62

47

49

32

4733

42

26

79

44

3445

112

3445

mg/l
N-NH3

Recycle sludge
mg/l
COD-T

31

19008

173

36

19740

160

51

17397

113

38

21790

127

IB

745

333

39

26

70

46

5612

169

29

21937

20

606

257

34

22

73

57

4499

95

43

21790

22

407

205

26

19

73

55

4323

B1

30

22B15

24

230

130

20

15

79

53

3503

50

24

20765

11

79

52

3503

40

23

19008

9

79

53

3737

35

23

21056

2

162

96

15

4

135

63

13

6

79

36

6

S

73

53

3503

44

25

20912

e

63

■ 44

10

7

73

53

4323

40

25

19008

AVERAGE

336

164

30

22

70

46

4132

95

31

20436

MAX

745

33

71

56

79

57

5612

160

51

22815

MIN

79

36

6

5

49

32

3445

35

23

17397

.

NOTE: USP1 samples were taken from 13 Mar 91 to 14 Mar 91, with heavy rain between 2 am to 8 am (14 M ar 91)
Operating conditions in the Plant as Period 7.
Ul

TABLE 5.11: ACTIVATED SLUDGE MASS BALANCE (1)
PERIOD
DATE

1
2
16-29 Jan 90 26Feb-26Mar 90
CONV
FMCT
CONV
FMCT

3
16-30 May 90
CONV
FMCT

4
9-24 Jul 90
FMCT
CONV

5
20Aug-3Sep 90
FMCT
CONV

6
14-31 Jan 91
FMCT
CONV

7
18Feb-8Mar91
FMCT
CONV

Blanket level 0 (m)

2,9

0,49

2.93

2,67

3.27

1.63

No detec

1.17

1.63

1.77

1.97

3,10

1.6

3.4

Blanket level 1 (m)

2.3

1,75

2.97

3,7

2.3

1.45

No detec

1.33

2,55

1.97

1.43

2,9

1.9

3.27

Recycle VSS 0 (kg/m')

5.22

9,06

5,71

11.10

3.72

6.70

2,49

4.67

5.62

9.37

7.116

6.664

2.918

6,2

Recycle VSS 1 (kg/m*)

6.61

11,38

2.72

11.02

3.92

8.06

2.42

4.93

12.628

20.924

5.428

11.924

1.264

9.412

MLVSS 0 (kg/m1)

2,59

2,796

2.20

4.27

1.52

4.68

1.20

3.66

2.67

5.40

2.94

2.84

0.63

3.72

MLVSS 1 (kg/m")

3.77

4,819

1.63

5.11

1.55

4.80

1.07

4.30

3.20

S.13

1.65

3.33

0,74

3.86

Sludge volume In settler 0 (m1)

6.71

0,14

6.63

20.5

6.23

5.24

0

1.94

1.9

6.72

3.16

23.36

233

27,15

Sludge volume In settler 1 (m3)

4,43

G.49

6.98

30.92

4.43

3.69

0

2.85

5.36

9.18

1.26

20.87

2.91

25.52

VSS In settled sludge 0 (kg/m ) (1)

3,47

4.55

3.37

6,55

2.2S

5.35

1.63

4.20

3.65

6.72

4,33

4.76

1.93

5.21

VSS In settled sludge 1 (kg/m*) (1)

4.72

7.01

1,99

7.06

2.34

5.69

1.52

4.51

6.34

10.39

2,91

6.19

0.91

5.71

Sludge mass In settler 0 (kg)

23.26

0.64

23,02

134.21

18.54

28.05

0

8,14

6.94

45.16

13,76

111.76

3.8S

141,54

Sludge mass In settler 1 (kg)

20.69

45.47

13.91

216.91

10.37

21.72

0

12,85

34.13

95.41

3,72

129.25

2.66

145.72

Sludge mass In alratlon tank 0 (kg)

46.62

50.22

39.60

76.66

27.36

64.24

21.60

69.5

48.06

97.20

52.92

51.12

14.94

66.96

Sludge mass In alratlon tank 1 (kg)

67.66

66,76

29.34

91,98

27.90

86.40

19.26

77.40

57.60

92.34

29.70

59.94

13,32

69.46

1

(1) VSS In settler sludge - (2 . MLVSS + Recycle VSS)/3
0 - Beginning of period
1 - End ot period

Ol

TABLE 5.12: ACTIVATED SLUDGE MASS BALANCE (2)
PERIOD
DATE

2
1
16-29 Jan 90 26Feb-26Mar 90
FMCT
CONV
CONV
FMCT

14

Removed BODS (kg/day)
Sludge mass 1 A.S. (kg)

4
9-24 Jul 90
CONV
FMCT

5
20Aug-3Sep 90
FMCT
CONV

6
14-31 Jan 91
CONV
FMCT

7
18Feb-BMar91
FMCT
CONV

14

29

29

15

15

16

16

15

15

18

16

19

19

6.79

2.16

a.60

2.06

10.49

4.35

0.70

1.86

4.87

5.34

6.03

2.50

3,93

15.24

14.5

16.3

15.0

15.2

19.9

16.0

3.6

10.1

20.2

26.3

9.1

10.7

6,2

25.4

67.9

86.8

29.3

92,0

27.9

66.4

19.3

77.4

57,6

92,3

29.7

59,9

13,3

69,5

DAYS
Sludge wasted and lost (1)
(kgVSS/day)

3
16-30 May 90
FMCT
CONV

S.S. (kg)

20.9

45.5

13.9

216.9

10.4

21.7

0.0

12.9

34.1

95,4

3.7

129,3

2.7

145.7

Total(kg)

36.6

132.2

43.3

310.9

36.3

108.1

19.3

90.3

91.7

187,6

33,4

189,2

16.0

215.2

46.6

50.2

39.6

76.9

27.4

64.2

21.6

69.5

46,1

97,2

52,9

51.1

14.9

67.0

Sludge mass 0 A.S. (kg)
S.S. (kg)

23.3

0.6

23.0

134,2

18.5

28.1

0.0

8.1

6.9

45,2

13,8

111.8

3.9

141.5

Total(kg)

69.9

50.9

62.6

211.1

45.9

112.3

21.6

77.6

55,0

142.4

66.7

162,9

18.8

208.5

Sludge mass balance (kg) (2)

113.9

111.6

230.1

159.6

149.7

61.1

8.9

42.6

109.6

125.4

75.3

71.3

71.9

296.2

Total removed BODS (kg)

203.1

226.2

435.1

439.4

299.1

269.7

57.4

161,1

303.6

395.2

164.6

192,0

117.8

462,0

0.56

0.49

0.53

0.36

0.50

0.23

0,15

0.26

0.36

0.32

0.46

0,37

0,61

0,61

Observed Yield (kgVSS/kg BOD5) (3)

(1)

Sludge wasted and lost - (Ow.Xa) + (O-Ow).VSSe

(2)

Sludge mass balance - (Sludge mass 1) • (Sludge mass 0) + (Sludge wasted and lost N 8 days)

(3)
A.S.:
S.S.:
0 :
1:

Observed Yield - sludge mass balance / total removed B0D5
Activated sludge
Secondary settler
Beginning of period
End of period

or

TABLE 5.13: SLUDGE QUALITY
PERIOD
DATE

1
2
16-29 Jan 90 26Feb-26Mar 90
FMCT
CONV
FMCT CONV

SVI (ml/g)

Senang Velocity ( m / h )

Blanket level (m)

3
16-30 May 90
CONV
FMCT

4
9-24 Jul 90
CONV
FMCT

5
20Aug-3Sep 90
CONV
FMCT

6
14-31 Jan 91
CONV
FMCT

7
18Feb-8Mar91
CONV
FMCT

104

119

273

140

299

99

51

65

44

41

143

167

426

107

1.32

0.9

0,35

0.06

0.66

0.36

4,3

1.7

3.4

1.8

0.7

0.2

0.7

0.6

2.1

1.4

2.5

3.1

2.9

1.6

No detec

1,3

1.5

1.7

1.8

2.9

1.6

3.3

4

3

4

4

3

2

2

3

3



4

1

1

2



-

4

-

-

Filamentous M i c r o o r g a n i s m s
(Relative abundance)

Nocardia

S. natans

T.1701

H. hydrossls

T.1663

T.0041

1

2

Fungi

Zooglea

+

-

3

-

1



-

2
-

-

+

-

-

1

1

+

-

+



+

+

-

+

-

1

+

-

-

-

-

++

+♦

-

M L S S (mg/l)

3177

4476

2749

6714

1735

6671

1395

4927

4186

7718

3585

5073

887

5527

MLVSS (mg/l)

2642

3630

2194

5091

1420

5009

1097

3708

3138

5606

2346

3087

650

3618

NOTE1

NOTE 2

Relative Abundance of M i c r o o r g a n i s m s (by E ikelboom)

Zooglea++ : very a b u n d a n t

*

-

Sporadic g r o w t h of filamentous microorganisms

1 L o w g r o w t h of filamentous m i c r o o r g a n i s m s

NOTE3

2 M o d e r a t e g r o w t h of filamentous microorganisms

Settling velocity depends on M L S S concentration

3 High g r o w t h of filamentous microorganisms
4 E xcesive g r o w t h of filamentous microorganisms
5

Field o l v i e w f u l lof filamentous microorganisms

CJ1

00

TABLE 5.14: METALS IN PRIMARY SLUDGE
PERIOD
DATE

Ca (mg/kg dry sludge)

CSP7/UPS7

1
31 January 90
CONV
FMCT

2
14 March 90
CONV
FMCT

29033

32597

41609

41339

40444

26666

26480

25489

3
30 May 90
CONV
FMCT

4
5
25 July 90 4 September 90
FMCT
CONV
FMCT CONV

6
1 - 4 Feb 91
CONV
FMCT

7
8 March 91
CONV
FMCT

Mg

1750

2535

3674

3246

5227

4675

4516

1983

Cd

3,2

3.6

4

5.9

1.9

2

5.6

5.3

Cr

127

326

55,6

57,1

27.6

113

133

136

Cu

565

257

179

175

152

244

460

492

Ft

77156

141163

73168

71260

34819

130746

179325

192094

Mn

372

525

371

378

203

282

1162

1245

997

1057

NI

587

154

127

120

90.7

143

Pb

99

168

218

217

159

91,5

160

154

Zn

496

733

663

644

471

539

962

1018

Hg

ND

NO

1.32

0.79

0.67

0.42

0.12

0.25

SS (mg/t)

13180

14660

35906

36876

30552

16000

31044

12052

VSS(mg/l)

9700

9937

15752

5980

9019

22836

22S76

20783

CJI

co

TABLE 5.15: METALS IN ACTIVATED SLUDGE
PERIOD
DATE

Ca (mg/Kg dry sludge)

1
31 January 90
CONV
FMCT

CSP2/USP2
2
14 March 90
CONV
FMCT

3
30 May 90
CONV
FMCT

5
4
25 July 90 4 September 90
CONV
FMCT
CONV
FMCT

6
1 - 4 Feb 91
CONV
FMCT

7
8 March 91
CONV
FMCT

14052

11367

17915

22972

28098

20067

15113

13781

23894

23019

27733

28759

18337

22303

Mg

2213

221B

2932

2948

3549

3559

4220

4064

2962

3302

4489

6291

3906

5100

Cd

2.2

5.5

2.2

4.1

3

5.9

3.9

5.3

3.9

3.9

5.9

4

6,4

8.3

Cr

77.5

83.2

126

679

82.6

142

70.7

74.2

43.4

46.6

35.9

43,9

25.8

38,3

Cu

232

302

219

360

157

204

347

346

182

183

223

219

75.5

170



32197

36180

35940

50823

18338

36576

69971

73852

62796

68376

55466

62706

332S2

35507

Mn

177

175

224

335

139

214

296

244

434

377

295

393

195

268

NI

166

163

165

218

148

190

214

249

168

177

189

173

66

91

Pb

117

125

124

157

160

182

236

228

146

153

143

173

126

146

Zn

549

571

569

874

704

1018

983

682

551

596

63S

663

460

548

Hg

ND

NO

NO

NO

ND

NO

2.1

3,1

0.49

1,31

1.11

1.06

0.68

0,79

SS (mg/t)

4925

6333

3198

7858

1934

6460

1846

3218

5344

8380

2377

5334

958

5456

VSS(mg/l)

4143

5348

2572

5882

1584

4S66

1338

2512

3744

5648

1657

3472

766

3816

O!
O

TABLE 5.16: AERATION PARAMETERS
PERIOD
DATE

2
1
16-29 Jan 90 26Feb-26Mar 90
FMCT
CONV
FMCT CONV

3
16-30 May 90
FMCT
CONV

4
9-24 Jul 90
CONV
FMCT

5
20Aug-3Sep 90
CONV
FMCT

6
14-31 Jan 91
CONV
FMCT

7
18Feb-8Mar 91
CONV
FMCT

12.9

13,2

15,6

16,4

19,3

19.7

23.7

23,7

22.7

22.6

6.4

8.3

8.4

8.2

Specific OUR (motygVSS.h)

19,62

19,56

12,35

9,92

19,35

15,61

13.64

12.35

22,77

19,50

6,38

11.04

22,1

19.11

OUR (mgOa/Lh)

56,72

70.48

26,9

43,66

29.11

79.7

16

53.3

69

109,7

17,42

39,66

19.34

83.84

0.97

2.65

1.6

2,07

1,64

1.56

1,53

2.5

1.4

1.4

1,63

2,65

1.93

2.51

69

93,2

46

55

67

100.6

32

63.5

96.5

118.8

33

37,4

30

63

Temperature (deg C)

D.O. (mgOj/l)
Air Flow (m'/h)
Relation Air Flow C/F

0.74

Energy In Aeration (kw.h)

1393

Relation of Energy In Aeration
CVF

1.23

C/F-

CONV Une Value
FMCI Une Value

OUR - Oxygen Uptake Rate

0,64
1126

765

0,91

045

465

0.58

0.81

0.50

0.67
796

256

0.51

500

768

0,63

0.88
922

301

0.66

0,48
349

301

0.46

660

TABLE 5.17: ENERGY CONSUMPTION
PERIOD
DATE

Energy In Recirculation pumps (kw.h)

2
1
16-29 Jan 90 26Feb-26Mar 90
FMCT
CONV
FMCT
CONV

3
16-30 May 90
CONV
FMCT

76

62

146

129

75

3S3

4
9-24 Jul 90
CONV
FMCT

5
20Aug-3Sep 90
CONV
FMCT

6
14-31 Jan 91
CONV
FMCT

7
18Feb-8Mar91
FMCT
CONV

114

300

66

1S3

77

70

68

142

301

349

301

660

Energy In Blowers (kw.h)

1393

1126

765

S4S

465

799

256

500

768

922

Total Energy (Kw.h)

1469

1190

913

974

540

1151

370

600

854

1075

378

419

369

602

CD (mVh)

2.53

2.54

2.07

2

2.5

2.3

1.51

3.44

5.9

6.2

2.56

3.14

1.76

6.58

N«days
Flow Treated (m1)
Energy Consumption Total (kw.h/m*)
Energy Consumption In areatlon (kw.h/m*)

14

14

29

29

15

15

16

16

15

15

18

18

19

19

650.06

S53.4

1440,72

1392

900

626

579.8

1320.9

2124

2952

1105.92

1356.48

811.66

3000.48

1.73

1,40

0.63

0.70

0.60

1.39

0.64

0.61

0,40

0,36

0.34

0.31

0.4S

0.27

0,31

0.27

0.25

0,37

0.22

1.64

1.32

0.53

0.60

0.51

0.96

0.44

0.36

0,36

B005 Removed (kg)

203.1

226,2

435.1

439.4

299.1

269,7

57.4

161.1

303,6

395,2

164.6

192.0

117.6

462.0

B005 Removed (kg/day)

14,51

16.3

15,0

15.15

19.93

17,96

3.58

10.06

20,23

26,34

9.14

10.66

6.20

2S.36

7.23

5,22

2,10

2.22

1.61

4.27

6.45

4.97

2.B1

2.72

2.30

2.16

3.13

1.66

2.96

4.45

3.10

2.S3

2.33

1.63

1.61

2JJ

1.37

Energy Consumption Total
(kw.h/kgBCO)
Energy Consumption (kw.h alratlon/kg BOO)
Air Consumption (m'/day)
m* alr/kg BOO removed

6.66

4,94

1.76

1.92

1.5S

1.656

2.237

1.104

1.320

1.608

2.414

766

1.524

2.316

2.651

792

896

720

1.512

114.13

137.24

73.6

67.13

60.66

134.26

214.5

151.49

114.46

108.24

86.65

84.24

116,13

59.62

Note: In period 1 atr diffusera were clogged and were replaced for new ones In period 2. So that the Energy consumption In blowers In period 1 is much higher than In other periods.

TABLE 5.18 : SLUDGE AGE CALCULATION
PERIOD
DATE

2
1
16-29 Jan 90 26Feb-26Mar 90
CONV
FMCT
CONV
FMCT

Temperatur« (*C]

3
16-30 May 90
CONV
FMCT

4
5
9-24 Jul 90 20Aug-30Sep 90
CONV
FMCT
FMCT
CONV

6
14-31 Jan 91
FMCT
CONV

7
18Feb-8Mar 91
FMCT
CONV

12.9

13.2

15,6

16.4

19.3

19.7

23,7

23.7

22.7

22.6

6,4

6.3

6,4

6.2

14

14

29

29

15

15

16

16

15

15

16

1B

19

19

Fexcese (kg VSS/day)

6.79

2.16

6.60

2.06

10.49

4.35

0.70

1,66

4.67

5,34

6,03

2.50

3.93

15,24

Mxl (kg)

60.8

132,2

43.3

310.9

36.3

106.1

19,3

90,3

91.7

167.6

33,4

169,2

16.0

215.2

MxO(kg)

69.9

50.9

62.6

211.1

45.9

112.3

21.6

77,6

55,0

142,4

66.7

162.9

16.6

206.5

1.3

9.6

-0.7

3.4

-0,5

-0.3

-0.1

0,6

2,4

3,0

-1.9

1.5

-0.1

0.4

Ntdays

(MX1-MMO)/N (kg/day)

79.4

91,6

53.0

261.0

42,1

110.2

20.5

64,0

73.4

165,1

50.1

176,1

17,4

211.9

[(Mx1-MxO)/N]»Fexce>s (kg/day)

6.1

6.0

7.9

5.5

10,0

4.1

0.6

2,7

7,3

6,4

4.2

4,0

3,6

15,6

Total aludge age (days) (1)

9.6

11.5

6.7

47.4

4.2

27.1

36.6

31.4

10.0

19.7

12.0

44.4

4,6

13.6

47.6

65.3

39.4

91.6

25.6

90,2

19.6

66.7

56.5

100,9

42.2

5S.6

11.7

65.1

5.6

6.2

5.0

16.7

2.6

22,1

35.5

25.0

7.7

12,1

10,1

14.0

3.1

4.2

43.0

25.6

58.7

61 J)

46.4

5.2

0.5

O.S

6.0

2,6

25.7

25.6

23.2

24.7

(MK1«MXO)/2 (kg)

Va.Xa (kg)
Aerobic sludge age (day«) (2)
N-NH3 In effluent (mg/l)
(1)

Total sludge age (days) -

(Mx1+Mx01/2
[(Mx1-Mxü)/NJ+(-excess

(2)

Aerobic sludge age (days) -

Vo.Xfl
L(Mx1-MxÚ)7NJ+t-excess

Fexcess -

Sludge wasted and lost (kgVSS/d)

Mx1 -

Total sludge mass (kg) end of period

MxO-

Total sludge mass (kg) beginning of period

((Mx .•Mx0)/N]+Fexcess -

Sludge acumutated En the system (kg/day) + sludge wasted and lost (kg/day)

VauXa -

Average sludge mass In alratlon tank (kg)

O)

-646 MODELLING
6.1 Introduction
To verify and analyze the obtained experimental data against the known theory, a
computer program CAB (Consorcio de Aguas, Bilbao) was developed. The program
includes current theory for activated sludge reactors and clarifiers, and is therefore a
valuable tool which can be used in understanding and interpreting measured data.
This chapter shortly describes the implemented mathematical models, the model set
up of the plant and the results obtained from calculations with the program.

6.2 Concepts and models
The process model used in CAB is based on the IAWPRC Activated Sludge Model
No 1. (Henze et al, 1987), and for the secondary clarifiers on the flux theory adapted
for modelling with the activated sludge models (Dupont, 1991).
6.2.1 Activated sludge model
The model for activated sludge is presented in figure 6.1. Explanations of the
components and constants are found in the symbol list at the end of the chapter. The
model is a slightly expanded version of the original Activated Sludge Model No. 1
(Henze et al, 1987).
To prevent numerical problems for components in the model which have a negative
stoichiometric constant, a few new terms are added to some of the processes. Finally,
three new components (Particulate precipitated compounds Xpg, Particulate
orthophosphate XPO, soluble phosphate SP0) and three new processes (process 10,11
and 17) are added to deal with simultaneous precipitation.
A general description of the included components and processes can be found in
numerous papers (Henze et al, 1989; Gujer, 1991).

Component -

Process I

12

*BH

Xpo

XBA

13

14

17

Process rates

ML"J-Tn

Spo

1 Aerobic growth
Y„-1

of heterotrophic

°NH

IV

°AIK

^ H ^ S R K Q H ^ O ^NH^NH ^AH^AIK

2 Anoxic growth
-1*Y H

of heterotrophic

1-Yu

f,

S

*OH

MH-

2,86-YH

KSH^SR

KOH'SO

K

N

NOH' , S NO K N H ^ N H

KAH'SAU

3 decay of
heterotrophic

1-f.

U-l. -

"H-*BH

4 Aerobic growth
of autotrophic

^"YT

->nb

1

YA-4.5

KA-

So
KNA^NH

KOA*SQ

KAA^ALK

•XBA

5 Decay of
autotrophic

1-f.
B

A-XBA

6 Hydrolysis of
KHX-

Particulate

Xs-

(1Æ2H)-XBH

7 Hydrolysis of slowly
degradable
^HS'SŞŞ'XBH

8 Hydrolysis of
particulate organic

•nu

,e.

9 Ammonification.
^HND-^— 'fO)

14
10 Iron oxidation.
-2


11 Precipitation.
2_
31

J6

T

Ket' S 0 -

-• S n
KAO^ALK

*ME ^PO *FE

12 Resolubilisation.
-2
31
Figure 6.1 Activated sludge model matrix.

Kpo'

05


-666.2.2 Secondary clarifier model
The model for the secondary clarifier is based on the zone settling theory for sedimentation in clarifiers described among others by Vesilind, 1979, and Ekama et al, 1984, and
adopted for use with activated sludge models by Dupont, 1991.
The conceptual idea by the implemented
secondary clarifier is shown in figure 6.2.
The clarifier is regarded as a flat bottom
cylindrical tank with a given height and a
given area, in which an inlet is placed in
a given depth, from which there is an
upward flow and a downward flow. These
flows together with the gravity settling of
the particles gives the flux expressions for
the upper an lower part of the clarifier.
Total flux expression :
GT = Gt + GF = V¿Xs * VpXs (6.1)
: Total flux
Gravity flux
: Flow flux
Vg : Settling Velocity
Xss: Sludge concentration.
VF : Flow velocity

Figure 62 Conceptual model for clarifier.

Expression for flow velocity:
V =

^F =



A
ÖR + ßp

for h > h .„,
(6.2)
for h < h inlet

A : Area of clarifier
h : Height of clarifier
Q E : Effluent flow
QR : Return sludge flow
Qp : Waste sludge flow

67

Expression for settling velocity:
(63)

-h-Xs

Vt = V0- e

V0 : Max settling velocity due to gravity
k : Sludge quality constant
Inserting expression 6.2 and 6.3 in the total flux expression 6.1 the following expressions
for flux in the upper and lower part of the clarifier are obtained:

Gj. =

~Ã J

{ °

■Xs

for h > h jnJet

2 p ' • J£¡

GT =

for h < h

(6.4)

(6.5)

To be able to model the sludge which does not settle in the clarifier, the following
empirical model is used for suspended solids in the inlet to the clarifier.

'NO,
-^NS

=

-^lnit

+

-*^N03

(6.6)

^N03 + ^N03

Y

NS

xs,Init
xs,N03
^N03

: Non settled suspended solids in inlet to clarifier which will not settle
: Floating particles in the inlet to the clarifier.
: Max concentration of suspended solids due to nitrate in the inlet to the
clarifier, which will not settle.
: Monod constant for nitrate.
: Concentration of nitrate in the inlet to the clarifier.

Applying model 6.4, 6.5 and 6.6 to mass balances over tiny elements of layers in the
clarifier, the concentration profile in the clarifier can continuously be calculated over
time by integration.

-68-

6.3 CAB description
CAB (Consorcio de Aguas, Bilbao) is a dynamic simulation program developed for this
project. The purpose of the program has been to develop a program which could be used
as an analyzing tool and which could support the work of verifying and analyzing the
experimental data. In the development of the program special attention is paid to the
clarifier part, because the differences in clarifier design is a key factor in the difference
of the two pilot plant lines.
One of the goals for the program was that it should be possible to run the program on
any PC type computer. This has been achieved, but reasonable minimum hardware
requirements would be PC with a 286 processor, a mathematical co-processor and a
graphic screen.
Plant

Operatio

Constants

-CAB Version 1.0Presentation System utilities

Exit

Plant
Table of plants
Flow scheme
Ctrl-T
Dimensions

Dimensions

Volume of Activ, sludge 1
Surface aeration (Kla) for Activ, sludge 1

1 8 0 ra 3
1 0 1/d

Surface area of Final sed. 1
Height of Final sed. 1
Position of inlet in Final sed. 1 •

1 2 5 m3
4 4 m
1 3 m

Plant: USP
Const:
Input tank volumes
<F1> Help
<F10> Save

Influent:
RAH Max :

213016 Avail:

213008 bytes

Figure 63 Example on user interface from CAB.
The program is driven by pull down menus (Figure 6.3), from where the different tasks
can be operated. This includes :
- Possibilities for setting up the configuration and dimensions of the plant.
- Possibilities for operating the designed plant with different controls and operating
strategies.
- Possibility to simulate dynamic load conditions.
- Possibility for calibrating the model by adjusting model constants.
- Graphic and table output of calculation results

69
The program and manual for the program can be found in annex 6.
6.4 Model Plant
For model purposes a simplified flow sheet of the plant was set up (Figure 6.4). Due
to the fact that both lines have the same flow sheet (but different dimensions), only the
flow sheet for one pilot plant line is drawn. The actual plants includes a primary clarifier,
but this is not included here because CAB do not include a model for the primary
clarifier.
The figures (SPx) on the flow sheet
are the measuring points, where

SP2

samples where taken.
The effluent pipe (SP6) from the
bottom of the clarifier in the flow
sheet is only used for sample-taking
and not for control of sludge mass
and sludge age. The actual sludge

SPI .
3

V

.i—iM

AS
/i

«* SlrD

wasting is handled by the pipe from Figure 6.4 Pilot plant flow sheet used for
the activated sludge reactor (SP2). modelling
In table 6.1 the physical dimensions of the pilot plant used for modelling is listed. In the
table is given an actual inlet height, and a used inlet height. A lower height is used in
the modelling, as it is not possible to model a sludge blanket height which is below the
actual inlet height with the present one dimensional flux model. The only consequence
of this is that the retention time for both water and biomass in the clarifier might be
longer, giving a larger delay and damping in the clarifier than expected.

70CONV

FMCr

3

Volume of Activated sludge reactor

18 m

18 m3

Area of secondary clarifier

3.8 m2

12.5 m2

4m

4.5 m

Actual

2m

2.4 m

Used

1.2 m

1.3 m

Height of secondary clarifier
Depth of inlet in secondary clarifier

Table 6.1 Dimension of the CONV and the FMCT line of the pilot plant.
It is further seen that the volume of the clarifier at the FMCT line is much greater than
the volume of the clarifier in the conventional line. This is the key difference between
the two lines in the plant.
6.5 Input data handling
The data which are obtained from the pilot plant are very comprehensive and cover a
long period of intensive measurements of many parameters. From these data 4 periods
were selected for further modelling, covering the last 4 periods of intensive measurement.
The raw data as they are used for modelling are listed in Annexes 7.1 to 7.4. Hatched
fields in the tables are fields that contain estimated data.
Three reasons make it necessary to check the data and make some corrections and
calculations before they can be input to the model :
- The model is not able to handle data in the inlet which is inconsistent regarding to
mass balances. The influent measurements must be checked for mass balance
inconsistency, and eventually new values must be extrapolated if inconsistency is found.
- To avoid missing data it is necessary to estimate values in cases where no measuring
was conducted.
- As the model internally deals with model components, all of which it are not possible
to be measured at present, it is necessary to estimate values for these components by
conversion of the measured influent data. This conversion must be conducted both for
inlet data, and for output data, converting model data back to measurable data.

-71 In the two first cases above the estimation of data is best done before the data are entered
into the program. In the last case the conversion of the measured data is done entirely by the
program. The user can control this conversion by means of conversion constants given to the
program (Table 6.2).
CONV

FMCT

CONV

FMCT

COEV!oluhl./CODIotlll

0.42S

0383

5%H/^particulate

0.99S

0.995

Bor^olubl./BODrot.i.

0.422

0.410

0.005

0.005

BOD/BOPrnfinit.

0.6

0.6

'%A/B0I}?«rticiiLt.
}%/BODpartlculat.

0.900

0.900

BOD!n£lnlt./COD

0.729

0.696

%s/cor% o l u b l .

0.5

OS

Kj-hfeojjifcx./Kj-Nrotal

0.835

0312

%R/ C O E %olubl.

OS

OS

NIVN/KJ-NÎO1U1J1.

0.882

0384

PCVP/Frot«!

0.637

0.642

Constant

Constant

Table 62 Conversion constants used for the inlet.

The conversion constants are based on mean values for all the measured data of the 4 periods. The
conversion constants are regarded as being identical in the 4 periods.
The variations patterns for total COD and total Kjeldhal-N of the influent from the 4 periods are
shown in figure 6.5 to 6.8. There is no significant difference in the influent variation of the two lines.

Figure 6.5 Influent patterns of total COD

Figure 6.6 Influent patterns of total COD

and total Kjeldhal-N from period 4

and total Kjeldhal-N from period 5

72

Figure 6.7 Influent patterns of total COD

Figure 6.8 Influent patterns of total COD

and total Kjeldhal-N from period 6

and total Kjeldhal-N from period 7

6.6 Operation conditions used for modelling
CONV6

FMCT6

CONV7

FMCT7

Units

CONV4

FMCT4

CONV5

FMCT5

Oxygen

13

23

13

1.8S

1.7

2.75

13

23

mg/l

Inlet flow

13

3.4

6

&2

VAR1'

VAR1'

VAR1'

VAR1'

m 3 /h

Return flow

3

9

13

VAR3)

50%

50%

50%

50%

ni/h

Waste flow

0

0

0

0

VAR2)

VARZ)

VAR2'

VAR2'

m 3 /h

Temperature

20

20

22.8

218

113

8.6

8.2

8.2

oC

Parameter

Notes :
1) The inlet flow is variable, but controlled to keep the F/M ratio constant
2) The waste flow is variable, controlled by the sludge blanket
3) During period 5 the return sludge flow in the FMCT line decreased from 8.2 to 2 3 m /h

Table 6.3 Operation conditions for modelling

Table 6.3 shows the operation conditions as they are used under the simulation, and in most cases
these are the same operation conditions as used in the pilot plants.

-73-

6.7 Modelling and analyzing
In this work, analyzing the experimental data is conducted as calibrations on each of the 4 periods
and in the two plants. In this way it is possible to find out whether there is any deviation from
expected behaviour of the plant. This could either be of the plant in general or for a single period.
If there is found any deviations then the program is valuable tool to use, helping to explain the cause
of the deviation.
6.7.1 Notes on modelling
The retention time and damping of the effluent concentrations from the clarifier is greater than
expected. This due to the fact that the actual used inlet by the modelling is lower than the physical
inlet depth of the clarifier. This is the only way to model sludge blanket dynamics with a one
dimensional clarifier model, when the measured sludge blanket is below the physical inlet of the
clarifier (see operating conditions table 6.3).
The modelling of period 4 for the conventional line is a special case of the case above and gives
some problems in form of a very low or non existing sludge blanket. To model the concentration,
the sludge age and the height of the sludge blanket in this period, it was necessary to model the
clarifier with a inlet in the lowest possible level (in this case 0.2 m). This gives as explained above
a greater retention time in the clarifier.
During the calibrations it was assumed that the plant during the intensive periods was not in a
transition period. This gives the advantage that the same period can be run over and over. This is
very difficult to handle in period 4 and 5, because of the very low sludge wasting, which made the
sludge mass in the system slowly, but continuously increasing. This in turn reflects that the system
might not be totally in balance.

-74-

BODinfinity/BOD

CONV4

FMCT4

C0NV5

FMCT5

CONV 6

FMCT6

CONV 7

FMCT7

1.667

1.667

1.667

1.667

1.667

1.667

1.667

1.667

Uniu

0.71

0.77

0.75

0.64

0.76

0.7

0.7

0.71

jBOO/sCOO

0.7

0.8

0.7$

SBOO/gCOO

eBOO/sBOD

BOD/CODtotal
Effluent

0.85

0.6S

0.7S

0.64

OS

Effluent

0.6

0.6

0.7

0.61

0.7

0.64

0.66

0.69

SSS/tCOO

Clarifier

0-5

0.6

0.7

0.61

0.7

0.6

0.6

OS

sss/scoo

Qarìfìcr
SS/CODrot.1

Table 6.4 Conversion constants used for effluent and secondary clarifier
In table 6.4 are listed conversion constants for the effluent and for the secondary clarifier .
The values for the effluent are mean values calculated form the measured data for each period.
The values for the secondary clarifier were found by calibration.
The conversion constants are mainly used for converting the measured influent components
to the components used by the model, and for converting the model components to measurable
components which can be compared with the respective measured values. The secondary
clarifier makes an very important exception to this. In the secondary clarifier, the three
constants which convert particulate model components of COD, particulate iron, and
precipitated phosphorus compounds to SS are used to calculate the sedimentation rate of the
particulate components. When calibrating a model it is very important to be aware of this, as
it can change the mass of suspended solids in the clarifier and thereby have an impact on the
sludge age and sludge blanket height
During the modelling, one of the objectives has been to calibrate the constants and the
operation so that the calculated sludge blanket and sludge age are matching the sludge blanket
height and sludge age obtained during the experiments. In this way the sludge blanket and the
sludge age become operating parameters.
6.7.2 Some results from the modelling of the pilot plant
In this paragraph are described some of the key results from the modelling, and a few
representative curves are shown with comments.

75-

Table 6.5 shows mean values of some key results from the calibration. As it can be seen the
modelling results are comparable with the results obtained from the measured data.

CONV6

FMCT6

CONV7

FMCT7

1.72

1.8

1.7

1.8

2.9

1.8

33

m

2.9

2.0

33

m

10

19.7

12

44.4

4.6

13.6

days

36

10

25

14

50

15

9

days

35.5

25

34

24

7.7

12.1

10.1

14

3.1

42

days

8

13

10

14

3

3

days

Measured

16.0

Calculated

21

533

69.0

109.7

17.4

39.7

193

63.6

46

75

83

18.8

21

125

355

CONV4

FMCT4

CONV5

FMCT5

Measured

-

1.4

1.4

Calculated

0.2

1.4

1.4

Measured

36.8

31.4

Calculated

35

Measured
Calculated

Parameter

Uniu

Sludge blanket

Total sludge age

Aerobic sludge age

OUR

Table 6.5 Key results from modelling. Mean values.

jtf
Figure 6.9 COD total from Conventional

Figure 6.10 COD soluble from Conven-

line, period 5.

tional line, period 5

Figure 6.9 and 6.10 show the modelling results from the conventional line, period 5, of total
COD and soluble COD. The modelling results for COD correlate with the measured values
quite well. For soluble COD the calculated values tends to give higher values than the
measured ones. This is probably caused by soluble inert COD from the influent. The soluble
inert COD in the influent tends to be estimated to high with the currently used methods
(Soluble inert COD = soluble COD - soluble BODinfinite).

76-

Figure 6.11 and 6.12 shows BOD total and BOD soluble from the FMCT line in period 7.
The general trend for these results is that the calculated mean concentration for total BOD
match the measured values very well, but the dynamics is missing in the calculations. The
calculation generally estimates the Soluble BOD concentration to high. This could possibly be
corrected by lowering the Monod constant for soluble substrate in the growth process for
heterotrophic bacteria (See paragraph 6.7.3).

Figure 6.11 BOD total from FMCT line,

Figure 6.12 BOD soluble from FMCT

period 7

line, period 7

±=

il 111 9

Figure 6.13 SS concentration in CONV

Figure 6.14 Alkalinity from Conventional

line, Period 7

line, period 6

Figure 6.13 shows the concentration of suspended solids in period 7 of the Conventional line.
In the shown figure the suspended solid concentration matches the measured values very well,
but in general the calculated curves are less dynamic than the measured values. Figure 6.14
shows the alkalinity from Conventional line period 6. Except for period 4 the calculated
alkalinity concentration correlates with the measured values very well.

-77-

Figure 6.15 and 6.16 shows total Kjeldhal-N and Ammonia/Nitrate curves from Conventional
line period 4. By the modelling total Kjeldhal-N is often predicted to be lower than the
measured concentration. For ammonia and nitrate the modelling gives results which matches
the measured values (See comments on the hydrolysis constants KHX and KHND in the next
paragraph).

Figure 6.15 Total Kjeldhal-N from Con-

Figure 6.16 Ammonia and Nitrate from

ventional line, period 4

Conventional line, period 4

6.7.3 Calibration of constants in the model
By the calibration the main points for focus is one hand the constants related to the secondary clarifier controlling the effluent quality, the concentrations of suspended solids in the
process tanks, the sludge age, and the sludge blanket height. On the other hand the constants
related to the activated sludge processes controlling the concentration of COD and the nitrogen components in the process tanks.

-78
Default

CONV4

FMCT4

CONV5

FMCT5

CONV6

FMCT6

CONV7

FMCT7

Unit

(.1

0.06

0.005

0.005

0.005

0.005

0.005

0.005

0.005

0.005

gN/gCOO

I%H

20

IS

25

25

2-5

IS

Z5

25

IS

gCOO/m 3

•%X

0.02

0.02

0.02

0.02

0.02

0.02

0.02

0.02

0.02

m3/gCOOAl

•%HD

0.25

025

0.25

0.25

0.25

0.25

0.25

0.25

0.25

T«03

0.098

0.103

0.103

0.103

0.103

0.103

0.103

0.103

0.103

KiiA

1

1.0

0.25

1.0

0.25

1.0

0.25

1.0

0.25

gN/m3

m/d

Constant

V0

137

130

130

130

130

160

150

170

150

k

037

0.75

0.65

02

OJ

0.8

0.75

11

0.6

m 3 AQ

SSlnit

5

S

S

10

10

5

6

5

6

g SS/m 3

S%03

25

10

10

20

20

20

20

20

20

gN/m3

Table 6.6 Constants found by calibration of the Pilot Plant

In table 6.6 are listed the default constants of the model together with constants which were
changed during the calibration. The default values of other constants of the model can be
found in the symbol list. Only a few of the constants in the model were changed. Most of the
changes are small and kept within normal limits of variation. In the following is a short description of the changes and there implications.
Comments to constants regarding activated sludge processes.
fM : Fraction of nitrogen in inert material. This constant is changed to a very low value, to
meet the requirements of the nitrogen mass balance of the influent wastewater. If this value
was greater there would be a much greater need for estimation of some of the measured values
in the influent.
KsH : Monod constant for substrate of heterotrophic bacteria. As it was not possible with the
default constant to match the measured values of soluble BOD, this constant is changed to a
lower value. As seen in figure 6.7 this value might even be lower than the calibration value
of 2.5 g/m3. Experience has shown that it is often necessary to decrease this Monod constant
to get the desired results. Therefore it can not be regarded as being a special feature of the
Bilbao waste water.

-79-

Krøj and KHND : Hydrolysis rate for COD, and hydrolysis rate for nitrogen. These constants
are estimated to be lower than the default values. With the default values of this constants the
particulate Kjeldahl nitrogen in some of the periods is calculated to be lower then the
measured values. The low values estimated by the calibration compensate somewhat for this
(Figure 6.8) as it increases the amount of particulate degradable COD and the nitrogen bound
in organic substrate. As the theoretical value of these constants is nearly unknown, it can not
be concluded from this that these constants are a consequence of unusual wastewater in Bilbao.
T N03 : Temperature coefficient for nitrification. The value are slightly changed, compared to
the default value, to obtain a greater dependency of the nitrification on temperature. This is
done to achieve a lower nitrification at low temperatures. By the modelling this accounts for
all the differences in the nitrification rates in the four periods. But one must be aware that the
measurements show that there is a rather low alkalinity in the wastewater, and this could give
a reason for reduced nitrification under certain circumstances. This situation could not be
observed by the modelling as there is no inhibition of nitrification by low pH included in the
model.
Comments on constants regarding secondary clarifier performance.
V„, k One of the more interesting changes witch is made affects the constants for calculating
the sludge settling velocity (The Maximum settling velocity V0 and the sludge characteristic
constant k). These constants reflects the settling properties of the sludge. In general it is not
possible to estimate a general value for these constants, because they are very dependent on
the actual settling performance of the sludge which in turn is dependent on temperature,
reactor configuration, bacterial composition, influent composition etc. The constants Vo and
k is very important for the calibration of the sludge blanket height and the sludge age.
From figure 7.7 it is seen that the maximum settling rate can be determinate from the
expression:
ln(V0) = 2 *

V0 = 170 m/d

Comparing this value to the calculated values in table 6.7 it is seen that the calculated values
in general are lower. However comparing the dynamics of the calculated sludge blanket with
the measured sludge blanket it was observed that the dynamics of the sludge blanket height
of the modelling was more dynamic than the measured value. Taking this in account the values
from the calibration is not contradictory to values above.

-80

The k value reflect the sludge volume in the clarifier, and it is possible to compare the k
value with the measured sludge volume index. Figure 6.17 shows the estimated k value as
function of the measured SVI values of table 13. As it can be observed this correlate reasonably good.
As the k value reflects settling properties of the
clarifier it can be deduced that at high temperatures as in period 4, and especially in period 5,
there was a very good settling. I contrary to this,
the settling in period 6 and 7 at the low temperature was very poor. This is especially true for the
conventional line in period 7.
Figure 6.17 Estimated k values as function of measured SVI

6.8 Conclusion
The program has shown to be a valuable tool for

analyzing data. The program can tell whether there is any reason for concern, regarding the
composition of a certain waste water, and it can give some indication of the consequences on
the effluent quality and the operation of the plant with this waste water. Further it can be
helpful in explaining measured results.

From the work with the program it can be

concluded that the calibration of the model can be conducted without serious change of
constant values. This indicates that there is nothing which indicates that the investigated waste
water of Bilbao has a special composition. One must keep in mind that this conclusion is valid
inside the limitations of the model. The measurements (See chapter 7) has revealed that there
might be problems with nitrification because of low alkalinity.
However the calibration of the constants regarding the secondary settler, indicates that a
configuration of the waste water treatment plant similar to the pilot plant could favour bulking
tendencies in the plant, especially at low temperatures.

-81

6.9 List of symbols
Components in activated sludge model CUnit g/m3)
V

BH

Xs
X,

x,ND
M>0

°NH
SND
^NO

Spo
^ALK

So

SFE
S,

Heterotrophic bacteria
Autotrophic bacteria
Particulate degradable organic COD
Particulate inert organic COD
Particulate precipitated iron
Particulate degradable organic nitrogen
Particulate orthophosphate
Soluble slowly degradable substrate COD
Soluble easily degradable substrate COD
Ammonium
Soluble degradable organic nitrogen
Nitrate
Orthophosphate
Alkalinity
Oxygen
Soluble iron
Soluble inert organic COD

g COD/m3
g COD/m3
g COD/m3
g COD/m3
g Fe 3+ /m 3
gN/m 3
g FeP0 4 /m 3
g COD/m3
g COD/m3
gN/m 3
gN/m 3
gN/m 3
gP/m 3
g HCOVm3
g COD/m3
g Fe 2+ /m 3
g COD/m3

Stoichiometric constants in activated sludge model
default value
Constant
0.67
YH
: Heterotrophic yield
Autotrophic yield
0.24
Nitrogen in bacteria
0.086
Nitrogen in inert substrate
0.06
Fraction of endogenous day
0.08
Kinetic constants of heterotrophs in activated sludge model
Constant
default value
: Heterotrophic growth rate
6
: Heterotrophic decay rate
0.62
BH
: Monod constant for substrate
20
KSH
: Monod constant for oxygen
0.20
KOH
: Monod constant for ammonium 0.01
KVNH
N
: Monod constant for alkalinity
0.10
K,NOH : Monod constant for nitrate
0.50
: Fraction of denitrifiers
0.80

Unit
g COD/g COD
g COD/g COD
g N/g COD
g N/g COD
g COD/g COD

Unit
d"1
d"1
g COD/m3
g COD/m3
gN/m 3
g HCOVm3
gN/m 3

-82-

Kinetic constants of autotrophs in activated sludge model
Constant
default value
HA
: Autotrophic growth rate
0.8
BA
: Autotrophic decay rate
0.15
K^
: Monod constant for nitrate
1.0
KQA
: Monod constant for oxygen
0.40
KAA
: Monod constant for alkalinity
0.30
Kinetic constants of hydrolysis in activated sludge model
Constant
default value
KHX
: Particulate substrate hydrolysis 0.005
KHS
: Soluble substrate hydrolysis
4.00
K HND : Ammonification
1.00
r\ h
: Correction for lower anoxic
hydrolysis
0.40
Kinetic constants for simultaneous precipitation
Constant
default value
KFe
: Iron oxidation rate
50
KMe
: Precipitation rate
1.0
Kp 0
: Resolubilisation rate
0.40
Secondary clarifier
Constant
default value
GT
: Total flux
Gg
: Gravity flux
GF
: Flow
flux
Vg
: Setüing Velocity
XJS
: Sludge concentration
VF
: Flow velocity
A
: Area of clarifier
h
: Height of clarifier
QE
: Effluent
flow
QR
: Return sludge
flow
Qp
: Waste sludge
flow
V0
: Max settling velocity
137
k
: Sludge characteristic constant
037
X NS
: Non settled suspended solids
XS Ini , : Floating particles in sludge
10
XS N 0 3 : Max non settled SS due to N 0 3
KN03
: Monod constant for SS
20
S
:
NO3
Nitrate concentration

Unit
d"1
d'1
g N/m 3
g COD/m 3
g HCOVm 3

Unit
m 3 /(g COD d)
m 3 /(g COD d)

Unit
/ ( g Fe 2+ d)
m 3 /(g Fe 3+ d)
d'1

m3

Unit
g/m 2 /d
g/m 2 /d
g/m 2 /d
g/m 2 /d
g SS/m 3
m/d
m2
m
m 3 /d
m 3 /d
m 3 /d
m/d
m 3 /kg
g SS/m
g SS/m 3
g SS/m 3
g N0 3 /m 3
gN0 3 /m 3

-837.DISCUSSI0N OF RESULTS
In this chapter the results presented in chapter 5 and 6 will be discussed. The
discussion will focus on two aspects:
- the general treatability of the wastewater of Bilbao in a biological activated
sludge process
- comparison between the two process lines investigated (CONV and FMCT)
7.1.

Primary settling
The results from the two process lines are similar. All data from the intensive periods
4,5,6 and 7 are given in Figure 7.1 and 7.2. Figure 7.1 shows the suspended solids in
the effluent as a function of suspended solids in the influent. For the typical influent
concentrations, the removal efficiency is approximately 50 per cent, which is in the
low end of the normal expected range of 40-70 percent (Abwassertechnologie, 1988).
Figure 7.2 shows the COD reduction over the primary clarifier which amounts to 2535 per cent. The removal of inorganic suspended solids is slightly higher than that of
VSS which means that the ratio CODT^/SS increases slightly over the primary settler
as seen in table 7.1. The ratio CODT^/VSS is essentially unchanged over the primary
settler, indicating that the average composition of the suspended organic matter is
not significantly affected by the primary settling. The slight increase is soluble COD
is caused by hydrolysis of suspended solids during settling. In this case approximately
3 per cent of the particulate COD has been solubilized during primary settling.

Fiq.7.1.
Periods
,

,

SSe v s SSi i n P r i m a r y s e t t l e r
4 , 5 , 6 , 7 . L i n e s CONV a n d FMCT.
. , . ,

. . . .

■ ,

. . . .

, , , ,

. . . . I . . . ,

i

i

i

i

1

1

1

1

250
D

D

200

a

en
E
\_^
+>
C
dl
D

6
DD

150 ° D

D
D

• D fr

C

° /'S

D

D

D

100

D

a

D

B
D

D

n

CP

D

D
nD

9D
.p


■ ■ ° Ba
D
j
?

D

D

00

p

° n

mi

D

D
DD

;
a

?

d?

D D

D


_ -'
Do

D

Eb
D
D

b

D

.

D

D

:

^ b
D •

P,

a

D

D

m

.

D.%..:.... °

D

UUISl

D

D


m

D

D
D

'

a.

D

°

DD
D

50 l i l i

50

|

1 l

100

1 1

l i l i

150

1 1 1 1

200

i i i i 1 i i i i

250

SSinfluent

300

l

350

(mg/l).

l

l

l

I l l 1

400

450

500

F i q . 7 . 2 . CO De vs CO Di in Primary settler
Periods 4,5,6,7. Lines CO NV and FMCT.
I ! I I I I

600

500 ­
tflU
O)

5

400

+>
c
m



D
U-

D
d- Q

300 ­

ai
Q

o

00
ai

D
D

DD

q *

%a

fia

¡O


PB?

200 ­

100 I

1 I

100

I

I I

I

200

I

I

1 I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I—I

300

400

500

600

700

CODinfluent (mg/l).

800

900

1000

86

Table 7.1 Primary Settling. Period 4,5,6 and 7, average values.
Parameter

SS

VSS

NVSS

COD
T

Influent
Effl. primary
% reduction

COD
s

CODT.s

CODTJ
SS

CODT.s/
VSS

265

177

88

. 475

128

347

1.31

1.96

134

97

37

336

138

198

1.48

2.04

49

45

58

29

-8

43

-

-

Results from full scale operation of primary clarifiers, show that the removal
efficiency is somewhat higher than in the pilot plant.
7.2.

Activated sludge process
Various aspects of the process will be discussed, including nitrification, sludge
quality, effluent quality, sludge yield and energy consumption

7.2.1 Nitrification
The pilot plant has been operated to get nitrification at high operating temperatures. This has been achieved as shown at Figure 7.3 and 7.4. To obtain nitrification at 23°C a F/M-ratio of 0.25 kg BOD5/(kg VSS • d) or an aerobic sludge age
of 11 days was needed. These values are a result of low pH and low alkalinity
during the experiments in period 4 and 5. Model calculations - see chapter 6 have shown this. The values corrected for the low pH can be found in Table 7.2,
together with the design values at 17CC.
The low pH in the secondary effluent in the experiments, is due to the low
alkalinity (approx. 2,5 mmole/HC03") in combination with the high nitrogen

Fig.7.3.N­NH3 and N­N03 final effluents
vs F/M. T M 9 and 23 a C.
Average values periods 3,4,5.
en
OU

NH4N anc N03N In effluent (mg/l)

+
19«

40­
30­
X ""
. . . . _._1 9 * . _ : - - - .

20­

00
""""■5

f

""-..

X

10­

19"
n

19'

U "1

0.1

0.2a
¥~'~~

0.3

.a.

0.4

0.5

0.6

0.7

F/M (kg BOD/kg VSS.day)

+

CONV.N­N
H 3

*

CONV.N­N03

D

FMCT.N­N
H 3

x

FMCT.N­N03

Dashed lines indicate tendency at 232C

0.8

0.9

Fiq.7.4.N-NH3 in effluent vs Aerobic
sludge aqe.CONV and FMCT systems.

Data for periods 3 — 4 — 5 — 6 _ 7.
(mg/1)

50

Äft

+

-i"

40-1

•*-"fério(ls--6"7"'

30
2010-

Periods 3—4—5

ut

B.ft

oo
oo

#*

4 - 22.7%

+

+

22,8-°t

T
Labeled the teiiperatures for every
period.

+

lift
-4=-

20
Aerobic sludge age (days)

23.ft

"î"

aft
40

-89content of the raw wastewater (approx.40-50 mg N/1). The alkalinity consumption
of the nitrifiers (0.14 m mole H + / mg N oxidized is so high that if more than 10
mg NH4-N/1 is to be nitrified the alkalinity of the water needs to be increased
either by addition of base or through denitrification. Addition of base will not
solve problems with denitrification in settlers during summer, and the suspended
solids escape resulting from denitrification.
The results obtained with nitrification as given in Table 7.2 illustrate that the rate
of nitrification is within the normal range as long as pH is 7-7.5. In this range
nitrification proceeds with approximately twice the speed obtained at pH 6.2-6.8.
The normal range for the maximum growth rate of nitrifiers is around 0.8 d"1 at
20°C /Henze et al. 1987/
Table 7.2 Nitrification. Estimates for increased pH based on experimental results.
Maximum
F/M-ratio
kg BODj/kg VSS • d

Minimum
ox, aerobic
d

Experiments

0.25

Model, pH(7-7.5)

A, max

Temp.

d"1

°C

11

0.4

23

0.40

6

0.8

23

Model, pH(7-7.5)

0.30

9

0.6

20

Model, pH(7-7.5)

0.25

11

0.4

17

Figure 7.2 and 7.3 shows that there is no difference in nitrification in the two lines
investigated.
Table 7.3 shows measured and model calculated alkalinity changes during
nitrification in experimental period 4 and 5. It can be seen that the model predicts
the alkalinity change reasonably.

-90
Table 7.3. Alkalinity changes in biological process, period 4 and 5, mmol HC03"/1
Period 4

Period 5

CONV

FMCT

CONV

FMCT

Influent
(measured)

4.52

4.32

6.12

5.22

Effluent
(measured)

0.52

0.64

2.26

2.14

Effluent
(calculated)

0.00

0.00

0.00

0.00

7.2.2 Activated sludge quality
The specific oxygen uptake rate is similar in both lines in spite of the fact that the
FMCT-line was operated at higher MLSS concentrations (3-6 g/1) while the
CONV-line at lower concentration (0.6-3 g/1) - see Table 5.1. This is shown in
Figure 7.5. The observed values were approx. 10-20 mg 0 2 /(g VSS.h) in periods
4,5,6 and 7 which are within the expected range (Kristensen et al., 1992). The
activated sludge in the experiments have had a VSS/SS-ratio of 0.6-0.8, which is
in the expected range as well.
Sludge volume indexes as well as abundance of filamentous microorganisms varied
significantly during the experimental periods. The lowest SVI's were observed in
periods 4 and 5 characterized by high sludge age (and consequently low F/M
ratio). Both lines revealed at those periods average SVI's between 41 and 65
ml/g. The highest SVI's were observed in the CONV-line in periods 2,3 and 7, up
to 426 ml/g.
The relation between SVI and aerobic sludge age is shown in Figure 7.5 a. In
general, in the CONV-line the relation between SVI and aerobic sludge age is
hyperbolic. At aerobic sludge ages above approx. 10 days SVI's do not exceed 100
ml/g. In the FMCT-line the relation between SVI and sludge age is loose and

5 .. So ip e c iifif i c
­ïq.7
/ .. b
M L V S S . CONV a n d

e rax.Q
r a t e \v :
o x y _ g e n u p tt a
a kk e
FMCf. P e r i o d s
4,5,6,7

50 ­

40
L
0

_c

ui

30 ­

D D

LO

en
o
en
E
\-/

D DD

20 ­

DD
D

'P. u ,
a Q

D
D



CD

G

I

3D

en



rP
D

Sn D £

. . t l . p . BP . .

10 ­

o fl D°nb

0

2000

D

_

§
n

4000

6000

r
8000

MLVSS ( m g / l ) .
N o t e : Values above 3.500 mg/1 of MLVSS belongs to t h e FMCT line, while values below
2.500 mg/1 belongs t o the CONV line.

-92-

Fig.7.5a Relation between SVI
and Aerobic Sludge Age
500

Sludge Volume Index (ml/g)

400

300

200

100

10

20
30
Aerobic sludge age (d)

-93rather insignificant. The SVI's vary between 41 and 167 ml/g. This is explained by
the large quantities of sludge accumulated in the FMCT-line big clarifier. Anaerobic conditions in the clarifier sludge layer presumably controlled occurrence of
both, Sphaerotilus natans and type 1701 which were the microorganisms most
drastically influencing SVFs as shown in Figure 7.5 b.
In all experimental periods biological foaming occurred but at different intensities.
Microscopic observations indicate the responsible microorganism - Nocardia sp.
As shown in Figure 7.5 c, Nocardia was present at all experimented sludge ages.
Haliscomenobacter hydrossis occurred in significant abundances at aerobic sludge
ages below about 20 days. Neither Nocardia sp. nor H. hydrossis influenced
significantly SVFs. Fungi appeared in the FMCT-line in period 1 as dominating
filaments without significant increase of SVI. During this period marked decrease
of pH was observed in FMCT-line. While pH in CONV-line was 7.4, in the
FMCT-line it was 6.8. Type 0041 occurred at small abundance in both lines during
several experimental periods without causing problems.
In general, the microscopic observations and SVI's were within the expected
occurrence described in the literature for completely stirred activated sludge
reactors. The single exception was Nocardia sp. which occurred at all situations at
significant abundances. That is not the usual case. Nocardia foam floated on
aeration tanks and covered their surface, in some periods almost completely. In
most periods no significant difference was observed between the two lines.
Average relative abundance through all periods was in CONV-line 3 and in the
FMCT line 2. This was influenced mainly by the two last periods, No 6 and 7.
These were characterized by low temperature, 8 °C, and no nitrification. The
main difference between the two reactors was the aerobic sludge age fraction.
While in the CONV-line the fraction was as high as 0.67-0.97, in the FMCT-line it
was only 0.31-0.83. Thus the recycled sludge dwelled for significant periods of
time in anaerobic conditions since no nitrification occurred at that time. On
contrary, during periods 4 and 5 the temperature was high, around 23 °C, and
nitrification occurred. The aerobic sludge age fraction in the FMCT-system was

94

Fig.7.5b Relation between Abundance of
Filaments and SVI
(Sphaerotilus n. and Type 1701 only)

500

Sludge Volume Index (ml/g)

400

300

200

100

1

2
3
4
5
6
Cummulative Relative Abundance

95

Fig.7.5c Occurence of Filamentous Microorganisms at Various Aerobic Sludge Ages

Nocardia

H. hydrossis

S. natans

T. 1701

10

20
30
Aerobic Sludge Age (d)

40

-96higher than in the low temperature periods, 0.7 compared to 0.3. The conditions
in the clarifier blanket were partially anoxic due to the nitrates present at high
concentrations. From these observations it could be concluded that keeping the
recycled sludge anaerobic for a period of time may contribute to suppressing
Nocardia sp.
This finding is supported by Mori et al., who found that an anaerobic-oxic process
controlled Nocardia sp. to acceptable levels. Process configuration, however, was
in their experiments quite different.
The S\Ts of the activated sludges influence the recycle solids concentrations as
shown on Figure 7.6. At high SVl's sludge failed to thicken sufficiently and low
concentrations of solids was recycled into the aeration tank. This resulted in low
mixed liquor concentrations (see Table 5.1 period 7, CONV line). For SVTs of
100 -150 ml/g, 8-12 g SS/1 can be expected in the return sludge in the CONV
line. The FMCT lines gives higher recycle solids (12-16 g SS/1) due to the higher
retention time. The solid line in Figure 7.6 illustrates that in the FMCT line
considerably higher recycle solids concentrations are obtained than those found in
the SVI test.
7.2.3 Settling velocity
The relationship between initial zone settling velocity and SVI has been investigated. The observed initial zone settling velocities vary from 0.1 - 4,3 m/h - see
Table 5.13. Using the approach by Daigger and Roper 1985, and the expression
V. = V 0 - e k ' X i
the data has been grouped in 4 ranges according to the SVI. Based on these 4
groups, the k-value for each group has been estimated and the result is shown in
Figure 7.7.

Fig.7.6.Recycle SS vs SVI.Recirculatiori
rates 30-78%.Solid line illustrates s o lids concentration in SVI test
Recycle SS (g/l).

CO
-J

"i

i

1

1

50

100

150

200

r

250

SVI (ml/g).

300

350

400

450

Fig.7.7. Settling velocity vs
MLSS for different SVI ranges.
Ln VI (m/h)

CD

oo

6

MLSS (g/l)

Range 1 - S V I 1 8 - 6 3

-B- Range 2-SVI 64-106

Range 3-SVI 110-208

- * - Range 4-SVI 3 5 3 - 8 3 5

Represented regression lines for
every range.

F i g . 7 . 8 . K vs SVI average in every
range.
2.5

.:+"

M
1.5
k tea

CO

(O

1

0.5 4

.+.

4

o

:

Too

K is the slope of regression lines
plotting In Vi vs HL5S.

~m

300
SVI (il/g)

400

500

600

- 100-

The figure illustrates, that for increasing SVI the initial settling velocity for a
given MLSS decreases. In Figure 7.8 the settling constant, k, has been plotted
against SVI. There is a good correlation between the two parameters. The k
values obtained in this study are shown in Table 7.4 together with the k values
found by Daigger & Roper, 1985. They measured stirred SVFs which gives lower
values than unstirred SVTs. Thus the sludge in the present experiments has a
somewhat lower settling velocity.
Table 7.4. Comparison of k-values obtained for settling characteristics.
SVI range
(Daigger & Roper)

36-64

65-108

111-251

285-402

k

0.25

0.32

0.52

0.85

SVI range
(experiments)

29-63

64-106

110-208

353-835

k (experiments)

0.14

0.42

0.66

2.33

k (modelling)

7.2.4 Effluent quality
The effluent quality will be discussed in two parts - the soluble and the suspended. The soluble concentrations will be a result of the influent and on the
biological processes in the treatment plant.
Soluble COD in the effluent can be divided in many fractions. Of primary interest
is the two fractions biodegradable and inert (non-biodegradable). The inert COD
concentration in the effluent can be estimated as:
CODincrt, „,„„,. = COD^,,,, - 1,5 • BODS«,,,,,.

Fiq.7.9.C0D inert (s)e vs C0D(s)i.
CONV and FMCT.— — — —
Average values periods 1 3 4~5 6 7.

COD inert (s) eff luent (mq/1).

150
200
COO (s) influent (mq/1).
COD inert soluble = COD soluble - 1.5 B0D5 soluble

-102In Figure 7.9 the correlation between effluent inert soluble COD and total soluble
COD in the influent is shown. It is seen that approximately 15 per cent of the soluble COD in the influent ends up as soluble inert COD in the effluent. The soluble inert COD in the effluent does not necessarily has its sole origin in the
soluble COD of the influent.
Possibly a part of it is a result of biomass decay (Artan et al., 1990), but as a
simplified approach the correlation given, in Figure 7.9 can be used.
Figure 7.10 shows that temperature and F/M-loading influences the total soluble
COD in the effluent. Increasing F/M-loading will increase soluble COD in the
effluent. Decreasing temperature has a similar effect. The observed increase in soluble COD can not be explained by the increase in soluble BOD in the effluent.
Figure 7.11 shows that BOD does only increase marginally. Thus there is an increase in inert soluble COD for both low temperature and high load. This fits well
with the observations by Sollfrank and al., 1992 that at low temperatures more
soluble inert is found in the effluent.
High load can in this respect be regarded equal to low temperature in the sense
that under both conditions the degradation of organic matter is less complete.

Figure 7.11 illustrates that removal of soluble BOD is very efficient under all the
investigated conditions. Total BOD in the effluent is shown in Figure 7.12 . For
all investigated F/M-loadings 0.15-0.60 kg BOD/(kg VSS • day) the total BOD is
below 20 mg/I and the total COD below 50 mg/1. Thus the quality of the effluent
with respect to organic matter can live up to the expected effluent criteria of 25
mg BOD/1 and 125 mg COD/1 according to the EEC directive (91/271/EEC) of
21 May 1991.

Fig.7.10.CODs in effluent vs F/M and T5.
Average values periods 4~5_6_7
60

CODs in effluent (mg/l)

50-

o
w

40
FMCT High T9

30-

**""C0NV-Iöw-T*- B - FMCT low Ts
-*-

?.0
0.1

0.2

Labeled the temperatures.

0.3
0.4
0.5
F/M (kg BOD/kg VSS.day)

CONVhighT-0

0.6

0.7

Fig.7.11.BODs in effluent vs F/M and T9.
Average values periods 4~5_6_7
BODs in effluent (mg/l)

o

0.1

0.2

Labeled the temperatures

0.3

0.4

0.5

F/M (kg BOD/kg VSS.day)

Fig.7.12.BODe vs F/M.
Average values periods 4 ­ 5 ­ 6 ­ 7
on

BODe (mg/l)

¿\J

J

I

X

i

15­



FMCT

X

CONV

I
X

+
10­





"

­

*

­



o
UI



X


X



.. _

o0.1

0.2

0.3
F/M (kg BOD/kg VSS.day)

0.4

0.5

0.6

106

In periods with bulking in the pilot plant, the effluent quality with respect to
suspended solids was excellent due to filtering of the effluent through the sludge
blanket This effect is difficult to obtain in full scale plants because of problems
with controlling the sludge blanket under storm water conditions.
7.2.5 Yield coefficient, activated sludge
The sludge production is strongly influenced by temperature and F/M-load. In
Figure 7.13 a and b it is shown that high load and low temperature increases
sludge production considerably. In Table 7.3 values relevant for design are given.
It is seen that for constant F/M of 0,2 kg BOD/(kg VSS-d) the sludge production
in winter (8°C) is twice as high as in summer (23°C). If the load is increased
during winter because of no need for nitrification, then the yield is 2,5 times that
during summer. There is no significant difference between the yield for the 2 lines
investigated as long as they are operated at similar F/M-ratios.
Table 7.5 Observed yield coefficients for the CONV and FMCT line.
F/M

Temp

kg BOD/
(kg VSS-d)

°C

kg VSS/kg
BOD

kg SS/kg
BOD

kg COD/kg
COD

0.20

23

0.23

0.32

0.20

0.20

17

-0.3

0.45

-0.27

0.20

8

0.41

0.65

0.36

0.40

8

0.54

0.78

0.48

Observed yield

There is a close relationship between the F/M-ratio and the aerobic sludge age as
expected. This is shown on Figure 7.13 c. No difference is seen between CONV
and FMCT line. This means that the regression line given in Figure 7.13 c can be
used to convert between F/M-ratio and aerobic sludge age as wanted.

Fi q.7.13a.Y observed vs F/M and T~.
CONV and-FMCT.
— - _ —

Yob:

Average values periods 3 4 5 6 7.
(kg VSS/kg BODreioved)

o-J

0.4
0.6
F/H (kg BOO/ kg VSS.day)

Fi q- 7.13b- Y observed vs F/M and T - .
CGNV and FMCT.
Average values periods 3 — 4 - 5 _ 6 _ 7.
i obs (kg TSS/kg BODrenoved)

o
00

A
0.6
F/M (kg B0Ü/ kg VSS.day)

FIG. 7.13 c

Reciprocal Aerobic Sludge Age v:
Average values all periods
-i—i

0.4

F/M.

i_

FMCT 1

-

CONV D

>,

-S

0.3

Ql

en
<

0.2
o

Ql
CO
t)

CD

D

m
JD
0
L
ai

<

0.1

0 -

-0.1

-i

i—■—■—■—r
0.2

0.4

0.6

F/M ( k g BOD/kg VSS.day)

0.8

-1107.2.6 Energy consumption
Energy consumption and yield is closely related. Figure 7.14 shows the specific air
consumption in the two lines. The air consumption is a function of 3 factors:
- yield;
- D.OinMLVSS;
- aeration efficiency.
It is seen that the air consumption is high when the yield is low. The energy
consumption for the same F/M ratio was approximately equal in both systems.
Since the CONV-line was operated in general at lower concentrations of dissolved
oxygen in the mixed liquor, the oxygen transfer was for this line higher by 10-15
%. This can not be easily seen from the data because of other factors influencing
the oxygen transfer rate as well, for instance significantly higher mixed liquor
solids concentration in the FMCT-line than in the CONV-line. The higher solids
concentration tends to increase oxygen transfer efficiency in the FMCT-line due
to a higher volumetric reaction rate. At the same time increased air flow in that
line has the opposite effect. The oxygen transfer efficiency in the pilot plant is in
general rather low (2-4 per cent), because of low water column depth in the
aeration tanks.

7.3 Secondary settling
The strongest influence on secondary settler performance in this study has been
the influence of nitrate. Nitrate causes denitrification in the settler, and nitrogen
bubbles may be produced which will tend to float the suspended solids. This
phenomena is called rising sludge. Figure 7.15 illustrates this effect. At low nitrate
concentrations (0-3 mg NCyN/l) the suspended solids concentration in the
effluent is stable and low, 5-20 mg SS/1. At nitrate concentrations above 6-8 mg
NO3-N/I suspended solids in the effluent gets unstable, and at higher levels, 15-50

F¡g.7.14. AIR CONSUMPTION VS YIELD.
AVERAGE VALUES PERIODS 4,5,6,7.
OKO

m3 air/Kg BOD5 removed

¿OU

200­

150­

100­





­

+

­

\



---

4-

4_

50­

o0.1

0.2
0.3
0.4
0.5
YIELD(Kg VSS/Kg BOD5 removed)
CONV

+

FMCT

0.6

0.7

Fig.7. 15 ..TSS vs N-N03 in final effluent
All values for periods 4 - 5 - 6 _ 7 .
J

i

i_

100 -

75

o
O O:

en
E

50

ai

en
co

O

< * ■ ■ ■

O
25

o
o
o
o

s>

•<£>•

o

oo

o o
D^va

:<$>

í

.o

So o

«> C0NV
O FMCT

0 ~i

10

20

1

r~

-I

30

N-N03e (mg/1)

1

I

1

40

1

1

1

I

50

-113-

mg SS/l. This illustrates that nitrogen bubble generation is not always found when
nitrate is high. Many factors influence the generation of nitrogen bubbles, among
others:
- nitrate concentration;
- denitrification rate (incl. temperature effects);
- solids retention time in the settler;
- nitrogen gas concentration in MLVSS;
- oxygen concentration in MLVSS.
The complicated interplay between these factors can not be solved through the
results of these investigations. But the results illustrate that nitrate in the effluent
might deteriorate the effluent quality with respect to SS, BOD5 and COD. Temperature and hydraulic retention time in the settler also effects SS in the effluent.
The temperature effect seen in figure 7.16 is mainly the effect of nitrate which is
found in the effluent at high temperatures. Increasing hydraulic retention time has
a minor impact and reduces SS. A similar minor impact is seen for the settler
overflow rate as shown in figure 7.17. In most cases this load has been low 0.1-0.7
m/h and for these loads only a slight effect would be expected.
The sludge blanket height does not seem to have had any effect on SS in the
effluent - see figure 7.18 and 7.19, as long as it is more than 1 m below the water
surface.
For all experiments there was no significant variation in performance of the
settlers in the FMCT and the CONV line. This is remarkable when considering
the difference in the design of the two settlers. It indicates that the operational
parameters compared - blanket height and overflow rate - seems to be general for
both types of settlers.

SSe (mg/1)

Fig.7.16.SS in effluent vs hydraulic
retention time in the secondary settler.
Average values for periods 4 — 5 — 6 — 7.

Hydraulic retention tine (h)

50

SSe (ig/l)

Fig.7.17.SS in effluent vs overflow rate
in secondary settler.
Average values for periods 4"5~6"7.

40302010-

.2

0.4

.8

1

1.2

Overflow rate (n/h)

1.4

1.

1.8

Fig.7.18.SS in effluent vs Blanket level
in secondary settler for CO NV system.
j

i—I—i

i i i I i i i i 1 i i i i i i i i ■ i i i i

i — L

i

i ■ ■ ■ i

120 110 4
100 -i
90 -\
80
70 -.
en
E

60 4
50
40
. D

30 -3
20

D D„ .

£>

10

*a*a

a•

0 -Ì
-T - T

1 1 1

1 1

0.5

1 T"

' I''''I '

1.5

2

2.5

H.BLANKET Cm)
Note: Data for periods 2­6­7 (no nitrification)

3.5

f IG.7. 19.SS in effluent vs Blanket leve
in secondary settler for FMCT system.

en
E
ai

in
tsi

120 110 \
100 \
90 -Ë
80 \
70 \
60 \
50 \
40 -j
30 \
20 \
10 \
0 -=

•••••••

' Q • ■•
Q

' ' '!' 'D' ' ■ ' " ' '

;

a ' '■ '

a

a ;
B'

V'

' 'jï' 'D' ' ' ' 'f '
•••••□
' b'n.* ' D ' n ' a ^ ' :
D ' ' '.

a



-i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—i—r

0.5

1.5

2

2.5

H.BLANKET Cm)
Note: Data for periods 2­6­7 (no nitrification)

3.5

D'

-

- 118

7.4.

HEAVY METALS
The pilot plant influent, the primary effluent, the secondary effluent and the
sludges were analyzed for heavy metals (Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn).
Starting from period 4 (July 90) the pilot plant influent was taken from the
influent to the full-scale primary treatment plant in Galindo. Since not yet all the
sewers connecting the wastewater from Bilbao to the treatment plant have been
constructed, the incoming wastewater does not represent the ultimate
composition.
Comparison of heavy metals content found in pilot-plant sludges and regulated by
EC Directive (86/278/CEE from 12.6.1986) is in Tab. 7.6. Metals are compared
to the maximum permissible concentrations in soils at low pH what is the most
strict standard for comparison. So far, the concentration of metals in the biologically treated wastewater and in the sludges are low in comparison to applicable standards. As can be seen from the table, all concentrations (except asingle
value of Ni in primary sludge) are within acceptable limits.
Tab.7.6. Concentration of metals found in pilot plant sludges
mg/kg of dry solids

Metal
Cadmium

EC regulation for
soils pH<7

Primary sludge

Secondary
sludge

20

2-5.9

3.9 -5.9

Copper

1000

152-492

75.5-347

Nickel

300

90.7-1057

66-249

Lead

750

91.5-218

126-236

Zinc

2500

471-1018

460-983

16

0.12-1.32

0.49-3.1

1000

27.6-136

25.8-46.6

Mercury
Chromium

-1197.5.

GENERAL WASTEWATER CHARACTERISTICS

The wastewater used in the experiments has characteristics similar to normal
municipal wastewater. This holds for the concentration of the various components and
the ratios between these. Toxic substances (e.g. metals) have not been observed to
influence the treatment results. However it must be pointed out that the wastewater
used is not identical to what will be treated in future in the full scale plant.

- 120 8.

CONCLUSIONS

8.1.

General conclusions
The primary settling is normal as expected with a SS removal of about 50% and
a COD removal of 25-35 per cent. The removal of inorganic suspended solids is
slightly higher than that of VSS.
The effluent quality with respect to BOD and COD is well below the proposed
EEC standards for both systems. The soluble inert COD in the effluent is approx.
30-40 mg/1.
Increasing F/M-ratio increases soluble COD in effluent. Decreasing temperature
has a similar effect.
To obtain nitrification at 23°C a F/M-ratio of 0.25 (kg BOD^/kg VSS.d) or an
aerobic sludge age of 11 days was needed. These values are a result of low pH
and low alkalinity during experiments. Calculated nitrification rates with an
activated sludge model for pH-(7-7.5) are normal so no additional inhibiroty
effects on nitrification was detected.
The strongest influence on secondary settler performance in this study has been
the influence of nitrate. Nitrate in effluent give problems in settler producing high
SS in the effluent.
Problems with low alkalinity and denitrification in settlers can be solved by
providing a process with nitrification and denitrification. COD/N-ratio in the raw
wastewater is sufficient for denitrification. In primary settled or precipitated
wastewater the ratio is rather low, which indicates that external carbon might be
added to satisfy part of the carbon demand for denitrification.
The secondary settling performances in the two systems are similar. FMCT gives
higher SS recycle concentration and provides higher stability in operation.

-121 The observed yield was similar for both systems for similar F/M ratios. The yield
is highly influenced by temperatures and F/M-ratio. For similar F/M-ratio the
yield at 8* C was approx. twice the yield at 23° C.
The sludge settling velocity was in the normal expected range.
The removal of phosphorus was within the expected range for removal of P
through biological sludge production, approx. 2 mg P/l.
The removal of N was approx. 8 mg N/1 due to surplus sludge production. In
periods with nitrification a similar amount was denitrified. The overall removal
was 10-30% which for the high range indicates some denitrification in periods
with nitrification.
Energy for aeration was practically equal for the two systems for similar F/Mratios. The energy consumption was lower at higher observed yields.
Activated sludgefilamentousbulking occurred in some periods. It has been shown
that increasing aerobic sludge age above approx. 10 days eliminated bulking
problems in the CONV system. On the other hand, the FMCT system never
suffered from extreme bulking.
Biological foaming caused by Nocardia sp. was rather intensive and a general
phenomena for the particular wastewater and systems configurations. It can be
concluded from the experiments that exposure of the sludge to anaerobic
conditions can significantly suppress occurrence of Nocardia sp.
The wastewater used in the experiments has characteristics similar to normal
municipal wastewater. This holds for the concentration of the various components
and the ratios between these. Toxic substances (e.g. metals) have not been
observed to influence the treatment results.

-1228.2.

New system versus traditional system

Over the expected benefits of the FMCT system the following conclusions can be drawn:
Allows for better adjustment of biomass to instantaneous needs due to storage of
large amounts of biomass in the big clarifier.
Aeration tank volume could be reduced by using high MLVSS concentrations
(normal range 3000-6000 mg VSS/1). Reduction of volume could be approx. 50%.
The clarifier volume of the FMCT system was approx. 3-3.5 times the volume
needed for the CONV secondary clarifier.
There is no reduction in energy consumption in aeration tanks for similar F/Mratio.
The effluent quality was not improved compared to CONV system.
Excess sludge volume was lower due to higher concentrations. Dry matter
production (yield) is similar in the two systems.
Sludge in FMCT was more stabilized with a lower percentage of VSS.
Less bulking and foaming problems occurred in FMCT system.

-1238.3.

Modelling
Model has shown to be a valuable tool for interpretation of experimental results
identifying irregularities in experimental data.
The results from model follow the experimental results, and the modelling has not
revealed any irregularities in the wastewater composition of Bilbao, nor in the
process performance of the pilot unit.
The model can describe the actual settler performance and the performance of
the biological reactors.

- 124LIST OF SYMBOLS
AS

=

Activated sludge

BODe

=

BOD effluent (mg/1)

BODr

=

BOD removed (Kg/day)

BODs

=

BOD soluble (mg/1)

CODe

=

Chemical Oxygen demand effluent (mg/1)

CODi

=

Chemical Oxygen demand influent (mg/1)

CODinert (s)

=

COD inert soluble (mg/1)

CODs

=

COD soluble (mg/1)

COD (s)i

=

COD soluble influent (mg/1)

CODT^

=

Particulate COD (mg/1)

DO

=

Dissolved Oxygen in aeration tank (mg/1)

Fexcess

=

Sludge wasted and lost (Kg VSS/day)

F/M

=

Food mass ratio (Kg BOD/Kg MLVSS. day)

H. Blanket

=

Blanket level in secondary settler (m)

K

=

Settling constant (volume/mass)

MLSS

=

Mixed liquor .suspended solids (mg/1)

MLVSS

=

Mixed liquor volatile suspended solids (mg/1)

MxO

=

Total sludge mass beginning of period (kg)

Mxl

=

Total sludge mass end of period (kg)

NVSS

=

Non volatile suspended solids (mg/1)

OUR

=

Oxygen uptake rate (mg O^l.h)

P.S.

=

Primary settler

Qi

=

Influent flow (m3/h)

Qr

=

Recycle flow (m3/h)

Qw

=

Sludge wasting flow (m3/h)

R

=

Regression coefficient

SS

=

Suspended solids (mg/1)

S.S.

=

Secondary settler

SSe

=

Suspended solids effluent (mg/1)

125

SSi

Suspended solids influent (mg/l)

SOUR

Specific oxygen uptake rate (mg 0 2 /g VSS.h)

SVI

Sludge volume index (ml/g)

TSS

Total suspended solids (mg/1)

u

Utilization rate (Kg BOD/Kg VSS.day)

Va

Aeration tank volume (m3)

Vi

Initial settling velocity (m/h)

vss

Volatile suspended solids (mg/1)

Vtotal

Total volume: aeration tank + secondary settler

Xa

Biomass concentration in aeration tank (kg MLVSS/m3)

Xi

Initial SS concentration (mass/volume)

Y

Yield coefficient

Yobs

Observed yield coefficient
Maximum specific growth rate autotrophs^"1)

ex

Total sludge age (days)

6a

Aerobic sludge age (days)

o

Beginning of intensive period

i

End of intensive period

All the symbols used for laboratory and plant parameters are included in chapter 3.

- 126 10.

REFERENCES
Abwassertechnologie (1988) Ed. E. Blitz and W. Czysz. Springer Verlag
Berlin 1988 ISBN 3-540-13038-1
Artan, N. D. Orhon and B. Beler Baykal (1990) Implications of
the Task Group Model-1. The effect of initial substrate concentration.
Wat.Res.,24, 1251-1258
Daigger, G.T and R.E Roper (1985) The relationship between SVI
and activated sludge settling characteristics J. WPCF, 5JZ, 859-866
Dupont, R., Henze, M. (1991) Modeling Of The Secondary
Clarifier Combined With The Activated Sludge Model No. 1. Preprint :
IAWPRC conf. on: Interactions of wastewater, biomass and reactor configurations in biological treatment plants. Copenhagen, 21-23 August, 1991.
Eikelboom D.H. and Van Buijsen H.j. (1981). Microscopic Sludge
Investigation Manual. IMG - TNO Report A94a, Delft.
Ekama G.A., Pitman, A.R., Smollen, M. and Marais, G.v.R.
(1984). Secondary settling tanks. Chapter 8 in: Theory, Design and Operation
of Nutrient Removal Activated Sludge Processes, pp. 8.1-8.14. Water
Research Commision, Pretoria, SA.
Gujer, W. (1991) Modeling Population Dynamics in Activated
Sludge Systems. Preprint : IAWPRC conf. on: Interactions of wastewater,
biomass and reactor configurations in biological treatment plants.
Copenhagen, 21-23 August, 1991.
Henze, M., C.P.L. Grady jr., W. Gujer, G.V.R Marais and
T. Matsuo (1987) Activated sludge model no. 1 IAWPRC Sci. Techn. Report
No.l, IAWPRC, London
Kristensen, G.H, P.E. Jørgensen, M. Henze (1992)
characterization of functional groups and substrate in activated sludge and
wastewater by AUR, NUR and OUR. Wat.Sci.Tech.
Mori, T., Itokazu, K., Ishikura, Y., Mishina, F., Sakai, Y. and
M. Koga (1991) Control of Actinomycetes Scum Production by an AnaerobicOxic Process. IAWPRC Specialized Conference on Interactions of
Wastewater, Biomass and Reactor Configuration in Biological Treatment
Plants, Copenhagen, 21-23 August.

127

Process Control manual for Aerobic biological waste-water
treatment facilities (1977). EPA - 430 / 9-77-006.
Sollfrank, U., J. Kappeler and W. Gujer (1992) Temperature
effects on wastewater characterization and the release of soluble inert organic
material. Wat. Sei. Tech.
Standard Methods for the Examination of Water and Wastewater
(1989). 17,h edition APHA, AWWA, WPCF.
Vesilind P.A. (1979). Treatment and disposal of wastewater
sludges. Ann Arbor Science, Ann Arbor, Mich.

-129

ANNEX 1
DRAWING AND PHOTOGRAPHS OF
THE PILOT PLANT AND LABORATORY

SECONDARY SETTLER

FINAL EFFLUENT TANKS

BLOWERS

INDUSTRIAL WASTES RECEPTION TANK

00

AERATION TANK

DISSOLVED OXYGEN, pH AND T?, METERS WITH
AUTOMATIC CLEANING

134

LABORATORY

\^-/W^f^í^i&}-

INDUSTRIAL WASTE DOSAGE TANK

.-v -^---^:-':^^-'

CONTROL PANEL

136

LABORATORY

137

LABORATORY

139

ANNEX 2
ANALITICA!. METHODS

-140ANNEX 2

DESCRIPTION OF THE ANALYTICAL METHODS
Analyses and tests were carried out by laboratory personnel
working shifts for six days a week, so that samples could be
analyzed immediately they were taken. A refrigeration system
was used to preserve the 24-hour composite samples of influent
and effluents from the plant.
The frequency with which analyses were made was the same as in
the transitional and intensive periods; the only change was the
humber of parameters during the various periods.
The analytical methods used as a reference were those of
"Standard Methods for the Examination of Water and Wastewater",
17th Edition, 1989, APHA, AWWA, WPCF.
Here follows a brief description of the analytical methods
which were used.
SST:

Total Suspended Solids dried at 103-1052C.
A known volume of a sample is filtered through a
standard glass fiber filter and the residue contained
in the filter is dried at 103-105SC to constant weight.
The increase in the filter weight represents the
suspended matter.

SSV:

Volatile Suspended Solids calcined at 550 s .
Volatile solids correspond with the weight loss
occurring when the residue resulting from the SST test
is calcined in a muffle furnace at a temperature of
550+50SC.

DBO T:
5

Biochemical Oxygen Demand during a 5-day
incubation period.
A sample is placed in a full, stoppered bottle and
incubated in the dark, at 20 9 C, in the presence of
micro-organisms, excess nutrients and dissolved oxygen
for 5 days. The dissolved oxygen (D.O.) is measured
initially and after incubation. The DBO is calculated
from the difference between the initial and final D.O.
levels.

-141 DBO S:
5

Biochemical Oxygen Demand, during a 5-day
incubation period, of the soluble portion of the
sample.

O.D. :

Dissolved Oxygen.
Dissolved oxygen was measured by means of an oxygen
membrane electrode.

DQO T:

Chemical Oxygen Demand (Total Sample).
A sample is put at reflux for 2 hours in a highly acid
solution together with a known excess quantity of
potassium dichromate (K Cr 0 ) . After digestion,
2 2 7
the potassium dichromate that remains unreduced is
titrated with ammonic ferrous sulphate to establish the
quantity of potassium dichromate consumed and the
oxidizable organic matter is calculated in terms of
oxygen equivalent.

DQO S:

Chemical Oxygen Demand (Soluble)
The soluble DQO is determined exactly the same way as
described above, except that the sample is filtered
through a membrane filter prior to analysis.

N-NH :
3

Ammoniacal Nitrogen
Zn sulphate and sodium hydroxide (pH approx. 10.5) are
added to the sample so as to allow eventual
interferences to precipitate; afterwards it is
filtered. A dissolution is prepared with a known volume
of the filtrate, to which Nessler reactant is added to
develop colour. Ammonia is measured calorimetrically.

NTK:

Total Kjeldah Nitrogen
This determination shows the addition of organic and
ammoniacal nitrogen. The sample is digested at A20 9 C by
means of sulphuric acid, potassium sulphate and a
selenium reactive mixture as a catalyst, so as to
convert the organic nitrogenated compounds into
ammoniacal compounds; afterwards, the ammonia is
distilled in an alkaline medium and absorbed with boric
acid. The NTK is measured carorimetrically by using
Nessler reactant for colour development.

N-NO :
Nitrates
3 The previously membrane-filtered sample, the whiting and
the standard are pipetted in test tubes placed in a
container with cold water. The following is added,
allowing for rest periods between additions, in this
sequence: urea sulphite, sulphuric acid, chromotropic
acid and sulphuric acid. After stoppering the tubes, the
contents is mixed and following a 45-minute rest period
the nitratres are measured calorimetrically.

- 142P-PO :
Orthophosphates
4 Active carbon is added to the sample, which is filtered
through a membrane (0.45 Jim) and then vanadate-molybdate
reactant is added for colour development. The
orthophosphates are finally determined by a calorimetrie
procedure.
P-TOTAL

Total Phosphor

The sample is digested with a nitric-sulphuric acid
mixture until white fumes appear, soda is added to
Phenolphthalein pink colour and neutralized with
sulphuric acid. Total phosphor is measured as orthophosphates, following the above-mentioned procedure.
ALCAL R:

Total Alkalinity

Potentiometrie titration of the sample at ambient
temperature up to pH = 3.7 by using previously
standardized HCl approx. 0.02N. The result is expressed
in mmol/1 CaCO .
3
A & G:

Oils and Greases
Dissolved or emulsified oil and grease are extracted
from a sample acidified by contact with
trichlortrifluorethane and determined gravimetrically.

CI:

Chlorides
Chlorides were determined by the argentimetrlc method.
The potassium Chromate may indicate the final valuation
point of chloride with silver nitrate. Silver chloride
precipitates quantitatively prior to the formation of
silver Chromate.

SULF T:

Total Sulphides
Sulphides are oxidized by excess iodide in an acid
solution. The iodine formed is titrated with a sodium
tiosulphate dissolution, using starch as final point
indicator. For removal of interferences a preliminary
ZnS precipitation treatment is carried out, followed by
filtration.

FENOLES

The acidified sample is distilled with H PO at pH = 4.0
3 4
in order to separate phenols from non-volatile
impurities. In the presence of potassium ferrocyanide,
distilled phenols react with 4-aminoantipyrine to form
an antipyrine coloured compound. This compound is
extracted from the aqueous solution by CHC1 and the
absorbance is measured at 460 nm.
3

- 143DETERG:

Anionic Déte rgents
Anionic detergent s are transferred with methylene blue
from an acquous s olution to an immiscible organic
compound to form a cationic coloured compound. This
process comprises three successive extractions from an
aqueous dissoluti on in an acid medium containing the
sample and an exc ess of methylene blue en chloroform
(CHC1 ) ending wi th an aqueous washing. The intensity
3
of blueing in the organic phase is observed in a
spectrophotometer at 652 nm, as a measure of anionic
detergents.

CN T:

Total Cyanides
The cyanhydric acid is liberated by distillation and
air purging of the acidified sample. The purpose of
distillation is to separate the HNC from eventual
interferences by organic and inorganic contaminants.
The HCN gas is caused to pass through an NaOH washing
solution, in which it is collected. The cyanide
concentration in the soda solution is determined by a
selective electrode.

METALS
Metals were determined by atomic absorption spectrophotometry.
Samples contain particles and organic material
requiring a treatment prior to analysis. Metals can be
found either inorganically or organically bound, in
particles o dissolved. A digestion was made before a
preliminary filtration. A digestion with nitric acid
took place for the following materials: calcium,
magnesium, cadmium, chrome, copper, iron, nickel,
manganese, lead and zinc. For mercury, a digestion was
made with potassium permanganate-sulphuric acid.
In the atomic absorption spectrophotometry, the sample
is aspirated towards a flame in which it is atomized.
A light beam traverses the flame, passes through a
monochromator towards a detector which measures the
amount of light absorbed by the element atomized in
the flame. The amount of energy absorbed at a
characteristic wavelength in the flame is proportional
to the concentration of the element to be analyzed in
the sample.
Determination of calcium, magnesium, cadmium, chrome,
copper, iron, nickel, manganese, lead and zinc was
made by direct aspiration towards an air-acetylene
flame. Mercury was determined by the cold-steam
technique.

- 144 OUR:

OUR

Oxygen Consumption Rate
Agitation of the sample in a partly-full bottle to
increase the D.O. concentration in the sample almost
to saturation. Filling of the 250 ml Winkler bottle
with the sample, insertion of the D.O. meter probe,
placing of the bottle on a magnetic agitator and
recording of the D.O. concentration at 30-second
intervals for 15 minutes or until the D.O.
concentration is limiting (1.0 mg/1).
sp:

Specific Oxygen Consumption Rate
Ratio of OUR in mg D.0./1 x hr to the SSV of the
sludge sample expressed in gr/1 and determined by
gravimetric techniques.

V Sed:

Settled Volume
After homogenizing the sample, pour it carefully into
a 1 litre test beaker and allow it to settle for 30
minutes, at the end of which the volume occupied by
the settled sludge is measured in ml.

SVI:

Sludge Volume Indez
Retio of V.S. after 30 minutes to the SST of the
sludge sample, as determined by gravimetry and
expressed in gr/1.

SED TEST:
Zonal Settling Speed
After homogenizing the sample, pour it carefully into
a 2 litre test beaker (41.5 cm high x 8 cm dia.) and
allow it to settle. Record the heights of the liquidsolid interface at. 5-minute intervals during the first
20 minutes, at 10-minute intervals till minute 60 and
at 30-minute intervals till minute 180. Plot the
height of the interface (in cm) against time (in
minutes) and determine the settling speed as the
maximum gradient ocurring within the first 10 minutes
approximately.
Esp.Grav.:
Specific Gravity
Record the temperature of the sludge sample and weigh
first 100 ml of it and then 100 ml of distilled water
at A 9 C. Specific gravity is the ratio of the weight of
the sample to the weight of water, multiplied by a
corrective factor of the sample temperature.
MICROSCOPIC ANALYSIS
Throughout the project,from 2 to 3 weekly observations
were made of the activated sludge in both lines with a
view to follow up changes ocurring in the sludge
during the various periods. During the "live"
observations, a counting was made both of protozoa and
filamentous micro-organisms. After completion of the

-145
counting, a sample was taken for GRAM and NEISSER
tinting and thus final identification of filamentous
bacteria.
The method used for identification of types of floes
and filamentous micro-organisms was that of D.H.
Eikelboom and H.J.J. Van Buijsen.

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