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Transcript of Wastewater Management in Cluster of Tanneries in Tamil...
Journal of Scientific & Industrial Research
Vol. 58, July 1999, pp 475-5 1 6
Wastewater Management i n Cluster of Tanneries in Tamil Nadu through
Implementation of Common Emuent Treatment Plants+
Tapas Nandy, S N Kaul* , Sunita Shastry, U Manivel and C V Deshpande
National Environmental Engineering Research Institute, Nehru Marg, Nagpur 440 020
The Indian leather industry has gained substantial socio-economic significance due to its contributions to social equity and export contributions. Environmental concerns associated with leather processing, however, had placed the Indian leather sector under serious threat of survival in 1 996. Over 400 tanneries in Tamil Nadu were closed under the orders of the Hon'ble Supreme Court of India for reasons of inadequate compliance to environmental discharge norms of the State. National Environmental Engineering Research Institute (NEERI) and the Central Leather Research Institute (CLRI); played a key role in providing critical technological solutions to the vexed problem in a span of 1 5 months. The outcome of the implementation of technology plans developed and delivered by the two CSIR laboratories to the All India Skin and Hide Tanners and Merchants Association (AISHTMA) enabled the tanners of Tamil Nadu to comply with the environmental norms of the State.
Introduction
Leather production involves tanning which is a chemical process converting the semi-soluble protein called the 'collagen' present in the corium of animal skin and hides into though, flexible, insoluble and highly durable leather. The most common tannages are vegetable tannage and chrome tannage. Vegetable tanning is generally adopted where certain desirable physical properties like solidity, feel, colour etc. are desired, viz., heavy leather or in-sole leathers, while leathers meant for shoe upper, glove, garment, luggage, etc. , are invariably processed by chrome tanningl . Tanning of hides and skins is basically a wet process, consuming 70- 100 I of water per kg of skin/hide processed. Tanneries generate wastewater in the range of 30-35 11kg skin/hide processed with variable pH and high concentrations of suspended sol- ids, BOD, COD, tannins including chromium.
There are over 900 tanneries in Tamil Nadu distributed in the five Districts of the State, viz. North Arcot Ambedkar, Erode Periyar, Dindigul Annf\, Trichy and Chengai MGR. These tanneries mostly exist in clusters, and the untreated/partially treated wastewater being discharged into nearby surface water qody creating obnox-
I
* Author for correspondence +Work is based on authors' CSIR Technology Award
ious conditions and impairing the physical, chemical and biological quality of water in the rivers, and also contaminating the ground water. The tanneries were under closure as per the orders of the Hon'ble Supreme Court for non-compliance to environmental effluent discharge norms of the State Pollution Control Board. Therefore, proper wastewater management was warranted to ensure compliance of the stipulated norms of the Statutory Board for restarting the tanneries.
NEERI conducted extensive field investigation in eleven operational common effluent treatment plants (CETPs) completing the following activities :
Site surveys in and around CETPs for updating the data
base.
Estimation of quantity and characteristics of combined
wastewater
Bench scale treatability studies.
Delineation of measures for discernible improvement in
the performance of the CETPs through effective operation and maintenance, and remodeling of CETPs.
Evaluation of CETPs and assistance in trouble shooting operations.
Integration of High Rate Transpiration System in the
CETP in order to achieve the containment of IDS in treated effluent, and zero effluent discharge.
476 J SCI IND RES VOL 58 JULY 1 999
Sludge management.
Training programme for chemists, plant operators and engineers of the CETPs for sustainable performance.
CLRI, Chennai implemented inplant measures in individual tanneries by adopting cleaner technology packages for the following pollution parameters in order to reduce the load on CETPs:
TDS (20-25per cent).
BOD/COD (20-35per cent).
Sulphide (50-6Oper cent).
Chromium (98-99per cent).
Hydraulic loading (20-25 per cent).
Implementation of common effluent treatment plant for wastewater management in cluster of tanneries is an economical solution to the problem due to economy of scale and concomitant, equalization and proportioning. The system also provides a basis for rational cost sharing. Implementation of CETPs for wastewater management in cluster of tanneries in Tamil Nadu through design, commissioning, and upgradation of CETPs is addressed.
Quantity and Characteristics of Wastewater Generation in Tannery
The quantity and characteristics of wastewater discharge in tanneries vary from to process to process, tannery, to tannery and from time-to-time. Tanning operations though said to be continuous, are in the stricter sense in batches and the discharges of spent water are intermittent.
Apart from variation in the characteristics of the wastewater from different operations, there are wide range of fluctuations in the flow volume during different hours of the day, providing shock loading to an effluent treatment plant as a whole. The fluctuations in the flow of tannery waste also vary with the type of process adopted.
Process of tanning can be categorised and the probable quantity of wastewater expected out of each of them are as follows2:
Raw to E.I.
Raw to Wet Blue
Raw to Finishing
25-30 IIkg of raw skin/hide.
25-30 llkg of raw skin/hide.
30-40 llkg of raw skin/hide.
*For Tables 1-27 see pages 484-5 1 5
E.I. to Finishing
Wet B lue to Finishing
50-60 llkg of E.I. leather.
20-30 llkg of wet blue.
The waste load contributed per kg of hide processed is given in Table 1 * .
Cleaner Technologies of Production for Tanning Industry
Tannery wastes contribute to the pollution hazard in no small measures since they have a high proportion of putrescible organic and toxic inorganic wastes.
Tanning process is more or less a wet process from which a large volume of liquid waste is almost continuously discharged throughout the working hours of the day. Its discharge to the environment without adequate treatment can render soils sick, pollute surface and ground water and create air pollution problems by producing obnoxious gases.
Any form of tannery waste treatment, however simple, entails certain non-productive investment by the industry. The greater the volume and strength of the waste, higher will be the capital, operation and maintenance costs.
The cost of treatment, capital, as well as recurring, can be greatly reduced if the strength and volume of the waste is restricted to minimum at the source itself. Inplant control measures are best suited for this purpose and can effect significant reduction in pollutional load at a relatively low cost.
The single most important aspect of sound engineering for successful pollution control starts with the inplant control measures.
In-plant control measures for a tanning industry can be divided into the fol lowing four steps : · Reduction of water usage in a tannery. • Process modifications to reduce pollutional
load. · Segregation of effluent streams and its treat
ment. Recovery and util ization of by-products. The choice of the appropriate step obviously depends
upon the benefits derived by the industry for the cost of enforcing that step. Some applications of cleaner technologies in tanning industry are presented in Tables 2 and 3 .
j
NANDY et al. : WASTEWATER MANAGEMENT IN TANNERIES 477
Raw wastewater
Legend:
1 . Screen Chember 2. � Sump 3. Rotary Screen 4. Equelizetion Basin 5. Flash Mixer I 8. Bailie Chennel
. 7. Primllry Clluffier 8. ""-<obIc Lagoon 9. PrHoeIllUon Tank 10. Aelllllon Tank 1 1 . � Clariller 12. Aesh Mixer II 13. F\occu'-\or
" 14. Tube Sllll1er 15. Sludge Drying Beds 18. Sludge Thickener 17. Centrifuge AlB AIumIline C/O DAPlPolyeledrolyle + MIxer
Aoetlng Mllltor • FIXed Mllltor - SIudge Une 1- "1 Tertiary Tlllatment Units
Treated Ellluenl to River Palar
8
�r:;--t �- - - - � .. - 2 2�--� - - - - : : : : 8thte . . . . I .. .. .. .. : _ . . . . . 15
A B O ." . . .. . .. .. .. . . . . .. .... .. . . .. . ... . . R�d�
* * * 9
* *
NOT TO SCALE Figure I - Schematics of common effluent treatment plant
Treatability Studies for Treatment of Tannery Wastewater
In order to arrive at the most appropriate treatment scheme, and to establish design parameters for the unit processes and operations for the treatment of combined wastewater from tanning industry, detailed treatability studies were needed. NEERI carried out extensive laboratory studies to assess the feasibility of treating mixed tannery wastewater through physico-chemical route followed by anaerobic and aerobic bio-oxidation of chemically treated tannery effluent3-6.
Studies on chemical treatment using various coagulants provided with development of relationship between coagulant dose and COD removal efficiency3. The kinetic coefficients for the design of aerobic biological system, viz. yield coefficient (Y) and specific decay rate (kd) were estimated at 0.58 kg VSSlkg COD and 0.05 d- I , respectively. The oxygen requirement was estimated at 0.43 kgO/kg COD .d (ref. 6).
Common Effluent Treatment Plant (CETP)
Out of the 900 tanneries in the State of Tamil Nadu, about 1 00 tannery units have installed individual effluent treatment plants, while others have formed companies and co-operatives to establish common effluent treatment plants: The distribution of CETPs in the five districts of Tamil Nadu is presented in Table 4. Out of the
30 CETPs, 1 1 are under operation, five under construction and 1 4 are proposed.
Design and Implementation of CETP - A Case Study
The common effluent treatment plant for treatment of tannery wastewater has been designed for 4000 m3/d, based on the combined wastewater flow generated from 76 small and medium scale tannery units. The design is based on pretreatment comprising settling, screening, and solar evaporation of soak and pickle liquor at individual tannery units. The tanneries connected to CETP involve process ing from raw to fin i shed leather, and semi-finished to finished leather based on vegetable tanning process , except for a few units which are based on chrome tanning 7
The CETP designed on the basis of laboratory treatability studies comprises screening, equal ization, physico-chemical treatment and biological treatment through anaerobic route (anaerobic lag�on), preaeration and aerobic route (extended aeration system). The schematics of the CETP is shown in Figurel . The unit sizes and basic design details of various unit processes and operations are presented in Table 5 .
Performance Evaluation of CETP
Performance evaluation of the CETP has been carried out after commissioning under the existing operat-
478 J SCI IND RES VOL S8 JULY 1 999
Flow, cumlh 1 50 Monitoring I 150
Flow. oumlh.
75
25
1200
Average flow ' 114.7 cum/h .
AYBrage flow · 92.4 cumIn:
1800 Time, h
2400 0500
- Inlet -- Outlet
125
75
50
25
Monitoring I I
1200
Alleraga flow ' 112.9 cumlh ..
Average flow ' 88.7 cumlh·
1800 Time, h :
2400 0500
- Inlat ......... Outlet
Flow, cum/h 1 50 r-�--------------------� 1 50
rFI�ow�,�c=um�/�h __________________ �
Monitoring I II
1 25 Average flow • 115.3 cum/h
75 Average flow ' 92.5 cumlh
50
25
O LL��'���������� 0600 1200 1800
Time. h· 2400 0500
- Inlet -- Outlet
75
50
25
Monitoring I V
1200
Awrage flow ' 117.6 cum/h'
Average flow ' 94.1 oumlh
1800 Time, h . .
2400 0500
- Inlet -- Outlet
Figure 2 - Hourly flow variation at inlet and outlet of CETP
ing conditions. In order to assess the quantity of wastewater being received at the CETP, flow was monitored for 24 h on different dates. Figure 2 presents the hourly flow variation . The combined wastewater received at the CETP ranged from 28 1 9.4 to 3572.5 m3/d.
The CETP was monitored to evaluate the performance of various unit processes and operations under existing operating conditions by identifying sampling points at various stages of treatment and collecting one hourly samples composited for six and 24 h. Table 6 presents the detailed analyses for samples collected at various stages of treatment. All analyses have been carried out as per Standard Methodsx.
The performance of various unit processes and operations of the CETP were not at its optimal level of
performance mainly attributed to improper equalization of wastewater flow and characteristics, improper dosing of coagulants due to manual dosing being practiced and irregular desludging of sludge from primary clarifier resulting in escape of suspended solids along with the clarified effluent.
After Proper Operation and Maintenance
Based on the evaluation, measures implemented to improve CETP performance were proper equalization through regular pumping and mixing of wastewater, regular dosing of coagulants based on design doses of 450 mg/I each for alum and l ime through operation of the dosing tanks, and regular desludging of sludge from primary clarifier. Evaluation of CETP after implementing the improvement measures is presented in Table 7 .
}
....
NANDY et at. : WASTEWATER M ANAGEMENT IN TANNERIES 479
The results indicate that the performance of the chemical treatment could be improved with regular and proper dosing of coagulants in addition to proper desludging. The results are presented in Table 8 .
The design dosage of coagulants was based on laboratory studies using analytical grade chemicals. However, further improvement in the performance of the chemical treatment was assessed by carrying out treatability studies using commercial grade chemicals being utilized at site to optimize the coagulant dosages.
Treatability Studies for Optimization of Dosage of Commercial Grade Coagulants
Laboratory treatability studies for treatment of combined wastewater were conducted to determine the optimum coagulant dosage for alum and lime using commercial grade chemicals already in use at the plant site. Initially, alum was used in various doses ranging from 200 to 700 mg/1 . After optimizing the alum dose, lime was used in concentration ranging from 400 to 1 000 mgll in combination with optimum alum dose. The concentration of significant parameters in chemically treated effluent are given in Tables 9 and 1 0.
The results indicate an optimum dosage of alum : lime as 500 : 800 mg/l, achieving COD and SS removal of 74.9 and 84.0 per cent, respectively with treated effluent pH of 8 .5 . The sludge generated was 1 50 mIll .
After Optimization of Chemical Treatment
Based on treatabil ity studies, optimum dosage of chemical coagulants were practiced for further improvement in the performance of chemical treatment.
Table 1 1 presents detailed analyses at various stages of treatment after implementation of the optimum coagulant dosing. Optimum coagulant dosage resulted in further improvement in the performance of chemical treatment compared to earl ier monitoring and is presented in Table 1 2.
Performance of the extended aeration system deteriorated as SRT in the aeration tank was estimated to be in the range of 60-63 d, which is high as compared to the design value of 20 d and the oxygen uptake rate of biomass (MLVSS) was 26.7 mg/I.h as compared to design value indicating low oxygen uptake rate of biomass. Figure 3 presents the oxygen uptake rate during various monitoring period. SVI was 1 63 mIlg indicating poor sludge settleabil ity (Figure 4). Deterioration of the final treated effluent quality, despite improved performance
of the chemical treatment was attributed to non-optimum performance of the extended aeration system.
After Optimization of Extended Aeration System
Measures implemented to improve the performance of extended aeration system were wastage of biological sludge from the aeration tank to maintain SRT of 20 d, innoculating mixed liquor for volatile biomass (MLVSS) build-up, and regular sludge wastage from sludge recycle l ine.
After biomass build-up in the aeration tank, with MLVSS concentration in the range of 2245 to 2680 mgll, and achieving SVI and OUR values of 1 05 mgll and 40 mg/I.h, respectively, the evaluation data on plant performance is presented in Table 1 3 .
The concentration of COD in the final treated effluent was in the range of 244 to 297 mg/l as compared to 329 to 524 mg/l as observed during the earlier monitoring exercises. Oxygen uptake rate in the aeration tank was 4 1 .3 mg/I.h compared to 26.7 mg/I.h during earlier monitoring, indicating presence of volatile biomass (MLVSS) in the system (Figure 3) .
The final treated effluent from CETP conform to the limits prescribed by the Statutory Board for inland surface water discharge except for the parameters COD, TDS and chlorides. Table 1 4 presents the data on characteristics of treated effluent during various stages of monitoring along with the discharge Standards of the Statutory Boards. The results indicate improvement achieved in the effluent characteristics through proper operation and maintenance of the plant.
To ensure removal of colour from the treated effluent to the maximum extent possible, and to bring down the concentration of major polluting parameters well within the stipulated Standards of the Statutory Board tertiary treatment was warranted. Treatability studies were conducted to optimize the dosage of coagu lants and coagulant-aid for tertiary treatment through physicochemical route.
Treatability Studies for Tertiary Treatment
Laboratory treatability studies were carried out to evaluate the performance of tertiary treatment of secondary treated effluent through physico-chemical route. Efforts were made to remove colour as far as possible and reduce the concentration of major polluting param-
480 J SCI IND RES VOL 58 JULY 1999
1 0 DO'-mg/l a DOr-:,_ma..:.I-'-I __________ --,
ArIW Commlsaionlng Arter Proper Operation & "'alntananc.
a
2 .. Oxygen Uptake .Rata • "5.7 mall .h· Spaclflc Oxygen Utllizatlcn
o Rat. · 15.1 rng/tI·h o 1 2 3 .. 5 8 7 8 a
Tlma, m: .
1 0 DO , mall
2
After Optlmlzatlcn of Chemical Treatment
Oxygen Upteke Rate · 28.7 mall .h: . Spaclflc Oxygen Utilization Rata • g ... mal g.h.
2 3 .. 6 8 7 8 g Tlme, m
8 *
..
2
. .
Oxyg.n Upt'" Rate · ..... 7 mall .h . Speolflc Oxygen Utilization Rate · 16." ma/g.h ·
O �������������� o 2 3 .. 5 8 7 a g . nme, m. :
a DO, mall
2
After Optimization of Aeration Syatem
•
Oxygen Uptake Rate · 41.3 mall .h Specific Oxygen U tlllution Rate • 18.5 mal g.h
o 0'---'--2'--3'--"'--5'--8'--7'--8,---Ig .
nme, m
Figure 3 - Estimation of dissolved oxygen uptake rate
eters below the Standards stipulated by the Statutory Boards for inland surface water discharge.
Commercial grade chemical coagulants, viz. alum and lime along with cationic polyelectrolyte as coagulant-aid, were used in the study. Initially, alum was used in various doses ranging from 1 00 to 500 mg/l, in increments of 50 mg/I. Optimizing the alum dose, lime was used in combination at varying doses. This was fol lowed by use of polyelectrolyte at various doses in combination with optimum doses of alum and lime.
The concentrations of major parameters in the treated effluent using various coagulants and coagulant-aid are in Tables 1 5 through 17 .
Treatab i l i ty data , ind icate opt imum dose of alum: lime :polyelectrolyte as 350:225 :0.4 mg/l, achieving COD and SS removal of 54.3 and 48.9 per cent, re-
spectively, and reducing colour of the effluent from 1 95-220 to 66-70 Pt-Co units.
Upgradation of CETP
Based on treatability studies, construction of tertiary treatment units for treatment of secondary treated effluent through physico-chemical route, comprising flash mixer, flocculator and tube settler was completed and commissioned. The plant was evaluated after implementation of the complete treatment route comprising primary (physico-chemical), secondary (two stage biological - anaerobic followed by aerobic) and tertiary treatment (physico-chemical). The combined wastewater flow varied in the range of 2025 .6 to 2258.2 m3/d.
The optimum chemical dosing using commercial grade coagulants, viz. alum:lime as 500:800 mg/l was practiced in primary treatment unit. OUR in the aeration
i
NANDY et al. : WASTEWATER MANAGEMENT I N TANNERIES 48 1
Sludge Volun'le', inl 1 200 ��----�------------�
After Comnilaalonlng SVI • 118 ml Ig MLSS • 3988 mgll ·
400 .
200
0 0 30 120
Time, m'
;:.SI�oo�g�e�v��· ume��, m�l_. __________ � 1 200 ,
1000
800
800
400
200
�ter Optimization of Chemloal Treatment SVI • 183 ml /g MLSS • 3980 mgll
O LL���LL���LL��� o 30 120
Time, m '
1 200 Sludge Volume, ml
After Proper Operation a Malntenanoe SVI • 138 ml.lg .
1000 ML8S · 31140 mgll ,
800
400
200
0 , 0 30
Time, m' .
1 200 8100ge Volume, ml
400
200
After Optimization of Aeration System SVI · 88 ml/g MLSS • 3264 mgll
O LL�����LLLL���� o � 120
Time, m '
Figure 4 - Sludge setting profile of MLSS from aeration tank
tank was 42.8 mg/l .h indicating the presence of volatile biomass (MLVSS) in the system. SVI was 98 mllg indicating sludge settleability. Optimum dosage of coagulants alum:lime:polyelectrolyte as 350:225 :0.4 mgll in the chemical treatment unit for tertiary treatment was practiced.
B ased on one hour ly samples co l l ected and composited for 6, 1 2, 1 8 and 24 h , detailed analyses of samples collected i s presented in Table 1 8 . Table 1 9 presents detailed analyses of equalized influent and final tertiary treated effluent collected on different dates. The operating design parameters of the various units during the monitoring period are presented in Table 20. Energy consumption at various stages of treatment is presented in Table 2 1 .
The secondary treated effluent characteristics from the extended aeration system conform to the l imits prescribed by the Statutory Board for inland surface water discharge, except for TDS and chlorides parameters. Additional tertiary treatment ensures removal of colour in the final treated effluent with concentration of major polluting parameters wel l within the stipulated Standards of the Statutory Board for inland surface water discharge, except for parameters TDS and chlorides. Concentration of TDS and chlorides in the effluent are to be controlled through the implementation of High Rate Transpiration System.
Util ization of Treated Tannery Effluent through High Rate Transpiration System (HRTS) for Control of TDS and Chlorides
482 J SCI IND RES VOL 58 JULY 1 999
The high rate transpiration system (HRTS) is a land application system wherein the wastewater is applied in specially designed field layouts with wide ridges and furrows, and planted with trees bestowed with higher transpiration capacity. The HRTS envisages the use of dynamic multicomponent soil system as a live filtration device to renovate pretreated wastewater through adsorption, ion exchange, precipitation, and stabilization of pollutants through microbial degradation . Also the earthworms present in the system provide aerobic conditions for the stabilization of organic contents in the wastewater through a network of burrows.
The plants, e.g. Bamboo (Dendrocalamus strictus), Neem (Azadirachta indica) and Shishum (Dalbergia sissoo) transpire water equivalent of 7 to 1 3 -times of its potential evapo-transpiration rate from the soi l matrix alone. Thus, HRTS permits the disposal of 250-450 m3 of wastewater /ha of land/d. As all the wastewater is utilised in this process, the ground water pollution problem is avoided. The nutrients present in the wastewater are used by the plants and partly retained in the soil matrix with positive impact on the soil ecosystem.
Treatment and disposal of the tannery wastewater through HRTS was initiated at CETP. Two different designs of HRTS were provided as described subsequently :
Design - /
Design - I of HRTS consists of ridges having bottom with of 1 .6 m, top width of 0.8 m and height of 0.5 m. The width of the furrow is 0.8 m. A layer of 1 5 cm of the filter media consisting of coconut peat/sawdust is given in the furrows and covered with 2-3 cm layer of clayey soil . The plant-to-plant spacing between the ridges is 2.4 m and 1 .0 m within the ridge. One hectare of area accomodates 4 1 furrows and 4 1 ridges of each 1 00 m length.
Design - II Design - II of HRTS consists of ridges having bottom
width of 1 .0m, top width of 0.5 m and height of 0.5 m. The width of the furrow is 0.5 m. A layer of 1 5 cm ofl the filter media consisting of coconut peat/sawdust is given in the furrows and covered with 2-3 cm layer of clayey soil . The plant-to-plant spacing between the ridges is 1 .5 m and 1 .0 m within the ridge. One hectare
of area accomodates 66 furrows and 66 ridges of each 1 00 m length.
Design - I planted with neem and karanj, and DesignII planted with casurina was adopted and demonstrated at the site.
After plantation, schedule of wastewater loading is as per the recommendations detailed in Table 22. The saplings was provided with fresh water in the pits for 3 months for their better establishment fol lowed by ful l loading with tannery wastewater as suggested to the CETP management.
Sludge Management
Present Status of Sludges from CETP
The chemical and biological sludges generated from CETP treating tannery wastewater fall under Hazardous Waste Category 1 2 (ref.9) . . It is essential to handle the sludges scientifically to minimize adverse impacts on health and environment. In view of the hazardous characteristics of the sludges, it is necessary to adopt Cradle to Grave principle in the management of the hazardous sludges generated from the CETP, including the sludge storage, transportation, treatment, and disposal .
The chemical and biological sludge generation were 650 m3 and 60 m3 /d, respectively. After dewatering, the total sludge generation was computed as 50.7 1 m3 /d, with moisture content of 30 per cent. The concentration of heavy metals in the sludges are summarized in Table 23 .
The existing practice of sludge management was collection of sludges in a temporary disposal yard after dewatering. Part of the sludge so produced was disposed off in a LDPE lined concrete pit. However the landfill capacity was insufficient and the excess sludge was dumped on low lying areas in the CETP premises.
Approach to Design of Sludge Management System
The moisture content of sludge, as it comes out of the treatment units, was around 92 per cent. It was essential to remove moisture before disposal. The sludge must be subjected to dewatering employing vacuum filters. The maximum allowable moisture content prior to landfil l disposal is 30 per cent. This helps in minimizing the leachate generation and facilitates disposal.
During monsoon, sludge dewatering should be collected in drums and stored for a few days before dis-
;/
...
,
)
NANDY et al. : WASTEWATER M A N AGEMENT IN TANNERIES 4'83
posal in secure landfill . The storage should be discouraged in other seasons. The drums should be stored in a shed to prevent entry of rain water. The shed should be on an elevated land, and should have impermeable floormg.
The site(s) for the establishment of the sludge disposal facilities should be very close to CETP to minimize the risk involved in transportation. The intermediate storage facility at CETP should have adequate space for storing sludge generated in 1 0 d.
Secure Landfill for Sludge Disposal
The disposal of sludges generated from CETP must be through secure landfil l to prevent leachate generation, and its subsequent migration into the soil and groundwater.
Following aspects have been considered while designing the secure landfill : location; landfil l layout; foundation; liners; leachate management; fil ling procedures; and closure. The details have been presented elsewhere 10.
Conclusions
Various unit processes and operations of the CETP designed to treat combined wastewater flow from cluster of tannery units, after commissioning and under existing operating conditions, were not functioning at optimum level of performance as per design. This was attributed mainly to poor operation and maintenance of the plant. Table 24 presents the problem associated with various units in the CETP, and reasons thereof.
The performance of the CETP was improved by optimizing the operating parameters in the individual units. During the period of evaluation efforts were made to improve the performance of the plant through optimization of commercial grade chemical coagulant dosage and build-up of active biomass in the extended aeration system. In addition, proper maintenance activity in the plant was also initiated. This included maintaining regular pumping schedule for various pumps, regular coagulant dosing through operat ion of dosing tanks, regular desludging, and regular operation of mixers and surface aerators.
The overall performance of the CETP was further improved by upgrading the CETP through implementation
of tertiary treatment units and optimizing the operating parameters.
The characteristics of treated effluent as achieved after commissioning, proper operation and maintenance, optimization of chemical treatment, optimization of extended aeration system, and upgradation of CETP along with the discharge Standards are presented in Table 25, indicating improvement in treated effluent characteristics. The concentration of major polluting parameters in the final treated effluent were well within the Standards stipulated by the Statutory Board for Inland Surface Water discharge including removal of colour, except for parameters TDS and chlorides. The concentration of BOD, COD and SS, and colour unit in the final treated effluent were in the range of 2-7, 96- 1 73 and 38-45 mgll, and 80- 1 1 5 Pt-Co unit.
The treated effluent cost after secondary treatment and tertiary treatment are estimated at Rs 1 1 .82/m3 and Rs 14 . ] 81m3, respectively considering the cost of chemical coagulants, energy and manpower requirements.
Concentration ofTDS and chlorides in the final treated effluent are to be c�ntrolled through utilization of treated effluent through High Rate Transpiration System (HRTS) . The implementation ofHRTS has already been initiated.
The chemical and biological sludges generated from CETP treating tannery wastewater fal l under Hazardous Waste Category 1 2 (ref. 9) . Disposal of sludges generated is recommended through secure landfi l l to prevent its leakage and subsequent migration into soil and ground water.
Similar studies were carried out for the implementation of additional ten under operation CETPs in Tamil Nadu. The brief details of the CETPs are presented in Table 26 and the final treated effluent characteristics are presented in Table 27. Implementation of CETPs and optimization in the performance of the various unit processes and operations have enabled to comply within the environmental norms of the Statutory Boards. The timely S&T intervention has led to recommissioning of the tanneries, thereby averting unemployment of the vulnerable section of the workforce and loss of substantial foreign exhange earnings from exports.
484 /
Operation/ Process .
Pickling/ Depickling
Tanning
Post tanning operations- rechroming - basification - neutralisation - dyeing - fat liquoring Finishing
EHluent treatment
Raw material preservation and transportation Hide/skin cur ing
Beamhouse operations
Soaking
Fleshing
Unhairing
Liming
Deliming Degreasing
Process control and partial automation of tannery operation
Beamhouse, tanning and post-tanning operations Design engineering of tanneries Process flow sheeting, piping and instrumentation, layout, utility diagrams, equipment specificatiOns and operational safety
J SCI IND RES VOL 58 JULY 1 999
Table 1 - Average pollution loads in tannery wastewater per tonne of hide/skin processed
Parameter
Biological Oxygen Demand (BOD) 5 d @ 2Q°C
Chemical Oxygen Demand (COD)
Chlorides (as el)
Total Dissolved Solids
Suspended Solids
Sulphides (as S)
Total Chromium (as BCS)
Table 2 - Modem and clean technologies for leather processing
Pollution load in kg
70 1 80
270 600 1 00
4
30
Conventional technology
New option(s) Availab ility of new technological options
Chromium
Chemicaf addition in installments
Solvent based chem icals/technolo gies Aerobic
Salt
Pit
Mechanical! mar.ddl Sodium sulphide and lime
Pits
Ammonium SolvenV suriactants
Manual (Chemical, water and pH)
No systematic approach
a . Recycle b. Saltless Pickling c. Alternate tannage (AI, Ti etc) d. C h romium recovery and recycle e. High chrome exhaust aids f . Complexing of mineral with natural
tannins g . Wet white h. W hite crust Process control systems for controlled addition and pH control
Solvent free and water based
a. UASB b. Biotechnological c. Membrane technology a . Saltless or less salt curing b. Chilling and biocide combination c. Drying
a. Mechanical desalting
b. Paddle method c. Drum
Green fleshing
a. Enzymatic b. Hari saving
c. Enzymatic/ pressure technique a. Paddle b. Lime liquid recycle c. Separation of liming and unhairing baths
Carbondioxide a. Bbiodegradable suriactants b. Enzymatic
Instruments or micro process controls
Application of process design engineering concepts to leather processing
Indian Foreign Germany
CLRI C L R I CLRI Italy, France,
Denmarrk etc. CLRI
CLRI Italy
Italy, U K , Germany
C L R I Netherlands
C L R I U K African countries
Indian Foreign CLRI Westem countries CLRI
CLRI UK, France, Germany, Italy
CLRI Australia
CLRI CLRI Germany, Italy
Europe, USA Germany, USA
CLRI Italy and Switzerland
CLRI
'''T'
.... -
•
)
NANDY et at. : WASTEWATER M A N AGEMENT IN TAN N ERIES
Table 3 - Emerging options in making leather chemicals greener
Leather process stage Curing and Preservation
Unhairing
Deliming
Degreasing
Pretanning
Tanning! Retanning
Fat liquoring
Finishing
Conventional chemicals Sodium chloride
Pentachlorophe nol
Sodium sulphide
Ammonium chloride! sulphide Alkyl phenyl ethoxylate
Basic chrome sulphate
Mineral Tannages! Retannages
Chemical fillers
Synthetic fat liquors Surfactants from petrochemicals Cd and Pb chrome pigment Nitrocellulose and lacquer emulsions Water proofing agents Formaldehyde for casein fixation Solvent based finished (acrylic and PU) Benzidine dyes
Ecofriendly option(s)
i) Chilling+biocide ii) I rradiation i) TCMTB ii) OITZ
Proteolytic enzymes
i) Linear or branched ethoxilate from oxo and fatty alcohols. ii) Lipase enzymes Aluminium tannage for wet white or white crust
I) Partial or total Cr replacement with AI, Zr, Ti, Fe. ii) Partial substitution with vegetable tanning(s) Compounds based on poultry feathers or animal hair Oleochemical based fat l iquors Fatty acid oxylate based surfactants Organic alternatives
Water based Pus
Fluorinated acrylic copolymers Polytunctional crosslin king agents
Water based or low solvent counterparts
Non-benzidine dyes
Disadvantages! Advantages
Expensive: not always feasible More expensive; anti fungal and bacterial properties not present in one compound Not fully effective for hides; not active below certain temperature High affinity for lime; buffers in float; cost effective on higher operation scale Higher efficiency; do not form persistent metabolites; biodegradable
Leather characteristics not yet comparable to chrome leather; poorer heat resistance. Leachability problems; Economically less attractive
Biodegradable; promotes chrome exahustion.
Loss environmental damage
Absence of phenolic constituents Covering power and light fastness deficiencies Poor flow properties; large quantity application
Slower drying, oil and grease repellents Specific to protein material; Good Rub fastness
Application techniques need refinements
Better results on upholstery and auede leather
485
-
486 J SCI IND RES VOL 58 JULY 1 999
Table 4 - Distribution of CETPs in tannery clusters, Tamil Nadu
District Distribution as per existing status of CETPs Total No. Operational Under Proposed of CETPs
construction
North Arcot Ambedkar
- Ranipet 3 3 2 8 - Ambur 1 4 6 - Pemambut 1 2 3 - Vaniyambadi 2 3 6 Erode Periyar
- Erode 1 Dindigul Anna
- Dindigul
Trichy
- Trichy 2 3 Chengai MGR
- Chrompet Area 1 1 - Madhavaram 1 Total 1 1 5 1 4 30
NANDY et al. : WASTEWATER MANAGEMENT IN TANNERIES
Table 5 - Unit sizes and design details of various unit processes and operations of CETP
unit
Design Flow
Screen Chamber * S creen Bars 'It Spacing * No . of Bars Mechanical Screen
Receiving Sump
Equalization Basin
Flash Mixer I
Baffle Channel * No . of Baffles * Size * Spacing
Primary Clarifier
Anaerobic Lagoon
Pre -Aeration 'Tank
Aeration Tank
Sizes
2 . 0 x 1 . 0 x 3 . 0m 10 x 5 0mm 12\1111\ 93 1 No .
Dia SWD
9 . 0m 2 . 0m
42 x 2 0m Depth : 3 . 0m FB : 0 . 5m
2 . 5 x 2 . 5 x 2m FB : O . 4m
11 . 2 x 1 . 2 x 1 . 0m 18 0 . 7 5 x 1 . 2 0m 0 . 4 Sm
Dia . : 15m SWD 3 . 0m FB O . 5m
1 0 0 x 7 8 . 6m Depth : 3 . 5m FB 0 . 5m
1 0 0 x 3 9 . 2Sm Depth : 3 . 1m FB O . Sm
6 0 x 2 8 x 3m FB O . Sm
Des ign Details · based on Design Flow
4 0 0 0 m3/d
Velocity through s creen : 0 . 8 m/s
Drum Motor : 3 HP
Flow : 4 0 0 m3 /h DP : 2 0 min Pump : 2 + 1 , 3 0 HP
DP : l S . 12 h Mixers : 2 x 2 5 HP ( float ing) Pump : 1+1 , 15 HP
DP : 4 . 5 min Mixer : 5 HP
DP : 4 . 8 3 min
DP 3 . 2 h SOR 2 2 . 6 3 m3 /m2 . d WLR 84 . 9 m3 /m . d Sludge Pump : 1+1 , 1 0 HP
DP - 6 . 88 d OUt : 0 . 2 1 8 kgBOD/m3 . d Inf . BOD : l S 0 0 mg/ I BODr : 6 0 Per cent
DP : 3 . 04 d MLSS : 2 5 0 mg/l Aerators : 5 x 20 HP ( floating)
F/M : o . ls /d MLSS : 4 0 0 0 mgl l MLVS S : . 32 0 0 mg/l PP : 3 0 . 2 4 h
.
OLR : 0 . 7 5 0 kgBOD/m3 . d HP provided : 6 x 2 0
487
Contd . ...
488
Table 5 contd . . . .
Secondary Clarifier
Flash Mixer I I
Flocculator
Tube Settler
Sludge Drying Beds
Sludge Thickener
Centrifuge
J SCI IND RES VOL 58 JULY 1 999
Dia . : 15m SWD 2 . 5m FB O . 5m
2 . 5 x 2 . 5m Depth : 2 . 1m
6 . 0 x 6 . 0m Depth : 2 . 5m
6 . 0 x 6 . 0m Depth : 1 . 5m
15 x 8 x 1m Nos . 4 5
Dia . : 6m SWD 2 . 0m FB 0 . 5m
Capacity : 12 m3 /h Solids conc . : 5 -10 D�um dia . : 85 0mm
SOR WLR SLR
2 2 . 6 m3 /m2 . d 84 . 9 m3 /m . d 9 0 . 54 kg/m2 . d
DP : 2 . 6 5 h Sludge Pump
DP : 4 . 7 3 min Mixer : 5 HP
1+1 , 7 . 5 HP
DP : 32 . 4 ·min Paddle Motor : 2 HP
Details not available Sludge Pump 1+1 , 5 HP
Drying period : 8 d Application depth : 4 0 em Primary sludge : 3 6 0 m3 /d at 2 Per cent conc. Secondary sludge : 143 . 2 7 m3 /d at 1 . 5 Per cent conc. Sludge application 2 4 0 m3 /d
.
Wt . of sludge @ 1 . 5 Per cent conc . . : . 4343 : 9 kg/d SLR : 150 kg/m2 . d Vol . of sludge after thickening at 5 Per cent conc.
: 78 . 98 m3 /d
Make : Humbol l Wedge · Media Ltd .
Operating period : 6 h Machine Motor : 2 5 HP
SWD - Side water depth; TO - Total depth ; DP - Detention period ; FB - Free board ; SOR - Surface overflow rate ; WLR - Weir loading rate ; OLR - Organic loading rate ; F/M - Food/Micro-organism ; SLR - Solids loading rate
)..
Parameters
Colour , P t - Co pH
Temp . , oc
Alkal inity SS TDS COD BOD Sulphates Sulphides Chlorides Ammoni cal N Kj eldhal N Nitrate N' Nitrite N Phosphates Phenol s oil & Grease Heavy Metals
;.
1*
183 0 8 . 7 -9 . 3
2 5 -2 9
1742 3 8 6 0
....- -;
Table 6 - Perfonnance evaluation of common effluent treatment plant (After commissioning)
).- ...
Receivina Sumo Eff . f rom Eaualization Basin Eff . from Pri m� ry Cl �r; r i �r
2 *
1460 7 . 8 -9 . 0
2 7 -2 9
2272 3024
3 *
1 3 5 0 8 . 0 -8 . 2
2 8 -2 9
2 02 0 2 8 7 8
4 *
1080 7 . 7 -8 . 3
2 7 -28
5+
1450 7 . 7 -9 . 3
2 5 -2 9
1978 2 0 04 3290 3255
1*
9 8 0 7 . 8 -8 . 2
2 5 -2 8
2 042 3 0 72
2 * 3 * .
995 985 7 . 8 - ' 7 . 6 -8 . 3 8 . 4
2 7 - 2 7 -2 9 2 8
1 9 0 8 3 2 0 8
2 1 96 3190
4 * 5+
1 0 0 0 . � 9 0 7 . 5 - 7 . 5 -7 . 9 8 . 4
2 6 - 2 5 -2 8 2 9
2 0 50 3 06 5
2 0 10 3 1 7 0
1*
4 8 5 7 . 5 -7 . 8
2 5 -2 8
1 6 6 0 971
2 *
4 6 0 8 . 3 -8 . 5
2 7 -2 9
1580 8 8 5
3 *
495 7 . 9 -8 . 4.
2 7 -2 8
1600 8 96
4*
4 9 0 7 . 7 -7 . 9
2 6 -2 7
1572 1064
5+
490 7 . 5 -8 . 5
2 5 -2 9
1603 9 3 5
2 5 012 2 0819 2 2 84 6 . 16867 2 18 3 6 1 9 7 4 5 1 96 7 8 1 9 2 0 0 1 9 8 3 9 1 9 5 3 8 1 8 3 04 1 8 3 4 0 1 8 1 0 6 18133 1 8 2 0 7 9 4 94 8589 7 3 6 8 5 3 6 4 8 1 3 8 5 9 7 0 6 12 4 6 2 5 7 5 8 0 8 6 1 6 7 3 8 5 0 3 9 2 7 3 7 8 6 3 923 3 94 7 3 02 4 2 6 3 3 2 2 1 0 1936 2 56 1 155i 1 6 3 5 1715 1 6 2 6 1688 1324 142 0 1408 1325 1 3 9 3 1800 1 6 0 0 1 2 8 0 1 0 6 5 1475 1590 1 5 6 5 1 5 8 2 1 5 6 0 1 5 7 0 1248 1 2 4 4 1260 1 2 4 0 1 2 6 0
1 2 2 7 0 8 4
1 2 4 149
2 9 . 1 5 . 2
1 9 . 5 6 . 0
10 . "0
143 6244
136 122
23 . 6 3 . 6
16 . 3 5 . 1 8 . 5
138 5 113
98 150
2 8 . 9 4 . 4
1 5 . 2 5 . 7 9 . 0
110 4710
108 186
14 . 4 2 . 5
14 . 1 3 . 2 7 . 2
134 120 5843 5443
113 115 150 150
2 3 . 3 2 1 . 9 4 . 3 4 . 3
17 . 3 15 . 2 5 . 3 5 . 6 9 . 3 9 . 2
140 5 6 8 3
117 151
2 3 . 5 4 . 4
1 5 . 0 5 . 3 9 . 5
137 5 02 6
114 152
2 2 . 5 4 . 3
14 . 9 5 : 5 9 . 4
1 2 9 5 6 7 0
1 1 1 1 4 8
2 4 . 1 4 . 5
15 . 3 5 . 2 9 . 3
133 562 0
114 1 5 0
23 . 0 4 . 3
15 . 1 5 . 3 9 . 3
103 4 8 1 7
98 1 2 7
2 1 . 8 4 . 2
1 1 . 3 4 . 8 8 . 3
113 4 9 0 5
98 128
2 3 . 4 4 . 3
11 . 0 4 . 7 8 . 3
112 5057
96 127
2 2 . 3 4 . 2
11 . 1 4 . 8 8 . 4
111 4 8 8 2
9 5 124
2 3 . 9 4 . 3
1 1 . 3 4 . 6 8 . 3
110 4 8 9 5
9 6 1 2 7
2 2 . 8 4 . 2
11 . 1 . 4 . 7 8 . 3
Chromium 2 1 . 4 16 . 9 15 . 4 12 . 1 1 7 . 2 16 . 2 1 6 . 1 16 . 3 1 6 . 9 16 . 5 6 . 0 5 . 9 6 . 1 6 . 0 6 . 0 Copper BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BOL BDL Cadmium BDL BDL BOL BDL BDL BDL BOL BDL BDL BDL BDL BDL BDL BOL .BDL Manganese 0 . 316 0 . 3 11 0 . 2 8 8 0 . 2 74 0 . 3 0 8 0 . 3 04 0 . 3 1 0 0 . 3 0 6 0 . 3 02 0 . 3 0 5 0 . 175 0 . 18 5 0 . 18 9 0 . 18 8 0 . 1 8 7 Zinc 0 . 22 2 0 . 19 7 0 . 18 9 0 . 184 0 . 1 98 0 . 193 0 . 194 0 . 195 0 . 1 9 2 0 . 194 0 . 172 0 . 1 73 0 . 1 73 0 . 16 5 0 . 16 9 Lead 0 . 2 5 1 0 . 2�9 0 . 2 3 5 0 . 212 0 . 23 7 0 . 23 8 0 . 2 3 9 0 . 2 40 0 . 2 3 5 0 . 2 3 8 0 . 22 0 0 . 2 1 9 0 . 2 18 0 . 223 0 . . 2 2 2 Ni9kel BDL BOL BDL BDL BDL BDL BDL BDL BOL BDL BDL BDL BDL BDL BDL . I ron . 3 . 2 0 2 . 91 2 . 8 1 2 . 6 8 2 . 93 2 . 92 2 . 93 . 2 . 9 5 2 . 9 7 2 . 94 1 . 6 9 1 . 6 8 1 . 6 7 1 . 6 9 1 . �6
Contd . . .
z � Z tl -< � � -
� en -'l t'I'l � t'I'l � 2: � z � C) t'I'l 2: t'I'l Z -'l Z � Z Z t'I'l � @ en
.j>. 00 \0
Table 6 Contd . . .
Parameters
Colour , Pt -Co pH
Temp . , oC
Alkal inity SS TDS COD BOD Sulphates Sulphides Chlorides Ammonical N Kj eldhal N Nitrate N Nitrite N Phosphates Phenols oil & Grease Heavy Metals
Chromium Copper Cadmium Manganese Zinc Lead Nickel . Iron
Eff . from Anaerobic Lagoon Eff . fro� Pre.- aeration Tank
1*
3 8 5 7 . 4 -7 . 6
2 8 -2 9
1 8 9 0 1 6 8
2 *
3 6 5 7 . 5 -7 . 8
2 7 -2 8
1866 166
3 *
3 9 5 7 . 7 -7 . 8
2 6 -2 8
1910 1 7 7
4*
3 9 5 7 . 7 -7 . 8
2 6 -2 7
183"0 165
5+ 1 * .
3 9 0 3 3 5 7 . 4 - 7 . 7 -7 . 8 7 . 8
2 6 - 2 7 -2 9 2 8
1 8 8 8 1330 167 245
2 *
3 15 7 . 7 -7 . 8
2 7 -2 8
1 3 0 6 2 52
3 *
3 5 0 7 . 7 -7 . 8
2 5 -2 7
1 2 92 2 7 5
4*
340 7 . 7 -7 . 8
2 5 -2 6
1 3 0 0 2 6 9
5+
345 7 . 7 -7 . 8
2 5 -2 8
1310 2 6 7
Eff . from Secondry Clarifier
1*
2 0 5 6 . 5 -6 . 7
2 6 -2 7 126 1 0 8
2 *·
210 6 . 5 -6 . 6
2 5 -2 6 1 3 0 1 0 6
3 * 4 *
200 195 6 . 6 - 6 . 7 -6 . 7 6 . 8
2 5 - 2 5 -2 6 26 122 120 110 1 12
5+
200 6 . 5 -6 . 8
2 5 -2 7 1 2 8 109
17224 17203 17183 1 7 118 17169 16397 1 6 4 8 0 1 6 5 8 2 16673 1 6 5 8 5 1 5 3 4 8 1 5 3 1 0 15056 1 4 8 8 9 15042 2482 2 560 2415 2 5 86 2 56 6 1295 . 1 3 0 0 1254 1125 1246 5 2 6 507 4 95 4 7 5 510
8 3 8 986 922 9 0 0 962 313 2 9 2 226 2 5 3 243 3 7 35 32 36 34 34 29 35 2 5 31 765 780 750 785 772 530 525 510 515 525
180 196 2 12 190 200 8 9 1 0 8 9 1 . 6 1 . 8 2 . 1 1 . 8 1 . 8 4 8 18 4807 4 9 51 4 7 8 9 4 8 07 4 7 3 2 4 7 14 4 8 9 2 4 7 0 0 4 7 5 9 4 2 9 5 4 3 5 2 433 9 4423 4 2 5 9
108 110 106 103 107 6 6 6 8 64 6 1 6 5 24 2 5 23 2 8 2 5 1 4 2 1 4 5 1 3 9 135 1 3 9 86 8 9 8 3 79 84 3 2 3 3 30 3 8 3 3
1 1 . 6 1 1 . 4 11 . 2 11 . 8 1 1 . 5 14 . 6 14 . 0 14 . 1 14 . 4 13 . 6 8 . 6 9 . 3 8 . 8 8 . 4 8 . 5 2 . 2 2 . 1 2 . 1 2 . 1 2 . 1 BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL 6 . 5 6 . 6 6 . 3 6 . 4 6 . 6 6 . 2 6 . 3 6 . 2 6 . 2 6 . 3 2 . 2 2 . 3 2 . 1 2 . 2 2 . 1 3 . 3 3 . 4 3 . 5 3 . 5 3 . 4 3 . 2 3 . 3 3 . 4 3 . 3 3 . 3 BDL BDL BDL BDL BDL 5 . 9 5 . 8 5 . 8 5 . 8 5 . 8 5 . 7 5 . 7 5 . 8 5 . 7 5 . 7 4 . 5 4 . 5 4 . 6 4 . 5 4 . 5
1 . 12 1 . 1 0 1 . 11 1 . 1 0 1 . 12 0 . 7 75 0 . 778 0 . 782 0 . 7 8 3 0 . 7 79 0 . 6 8 3 0 . 6 87 0 . 692 0 . 678 0 . 6 89 BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL . BDL
0 . 0 8 1 0 . 082 0 . 0 8 0 0 . 0 82 0 . 08 1 0 . 076 0 . 076 0 . 07 7 0 . 0 79 0 . 078 0 . 064 0 . 06 5 0 . 067 0 . 06 5 0 . 06 6 0 . 16 6 0 . 162 0 . 15 8 0 . 16 0 0 . 162 0 . 153 0 . 152 0 . 154 0 . 150 0 . 151 0 . 13 5 0 . 13 6 0 . 137 0 . 13 5 0 . 13 6 0 . 162 0 . 163 0 . 1 5 9 0 . 16 0 0 . 161 0 . 13 9 0 . 13 8 0 . 13 5 0 . 13 6 0 . 13 8 0 . 06 6 0 . 06 5 0 . 063 0 . 06 7 0 . 066
BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL 0 . 73 1 0 . 73 0 0 . 72 5 0 . 73 5 0 . 72 9 0 . 595 0 . 5 9 9 0 . 5 9 6 0 . 5 9 7 0 . 598 0 . 44 0 0 . 44 6 0 . 44 8 0 . 44 6 0 . 443
All values are expressed in mg/] except colour , pH and temperature ; * 6 h ' compos ite samples :
BDL - Below detectable limits
1 - 0 6 0 0 h to 1100 h 2 - 1200 h to 1700 h ; 3 - 1 8 0 0 h + 24 h composite sample
� �
to 2 3 0 0 h 4 - 2 4 0 0 to 0500 h
).. ...
� o
.... en o z o
al en
<: o r VI 00 .... C � \0 \0 \0
J
Parameters
Colour � P t - Co pH
Temp " oC
Alkal inity SS TDS COD BOD Sulphates Sulphides Chlorides Ammonical N Kj e ldhal N Nitrate N Nitrite N Phosphates Phenol s Oil & Grease Heavy Metals
v" .... )...
Table 7 - Performance evaluation of common effluent treatment plant (After proper operation and maintenance)
#'
Receiving Sump Eff . from Equalization Basin Eff . from Primary Clar i f ie r
1* 2 * 3 * 4* 5+ 1 * 2 * 3 * 4* 5+ 1* 2 * ' 3 *
146 0 1 4 8 0 1430 1450 1450 995 1 0 0 0 975 985 1000 4 9 0 485 490 7 . 3 - 7 . 9 - 6 . 9 - 7 . 0 - 7 . 0 - 7 . 6 - 7 . 6 - 7 . 4 - 7 . 3 - 7 . 3 - 7 . 4 - 7 . 4 - 7 . 4 -9 . 5 9 . 1 7 . 7 7 . 3 8 . 8 7 . 8 7 . 8 7 . 7 7 . 4 7 . 8 7 . 6 7 . 6 7 . 5
2 5 - 2 7 - 2 7 - 26 - 2 6 - 2 5 - 2 7 - 2 6 - 2 7 - 2 5 - 2 5 - 2 7 - 2 7 -26 2 � 2 9 2 7 2 9 2 8 2 9 2 8 2 8 2 9 2 7 2 9 2 8
2660 2 4 0 0 2 2 7 2 2 2 8 0 2 2 8 8 2 0 6 0 2 0 3 8 1 9 92 2 0 0 0 2 0 2 5 1 6 6 8 1552 1540 3790 4 2 6 0 2 50 0 3000 3 8 2 0 3 6 6 0 3 3 6 0 2 4 7 0 3 0 3 0 3 100 750 709 652
17804 1 6 8 9 0 2 4 8 0 8 2 14 8 8 2 0 2 3 6 1 8 9 0 0 2 0 0 1 0 1 9 0 8 6 19546 19232 1 7 6 1 5 18129 17578 8452 8 04 8 7306 7221 7922 6167 6 113 5 919 6315 6237 2658 3 2 1 5 2 9 8 0 2236 2 662 2 1 0 0 2 0 9 6 2 3 0 7 1665 1 6 5 0 1598 1 7 05 1 6 8 4 1 2 3 4 1213 1 0 9 9 1 6 7 0 1 7 8 0 1 2 7 0 1525 1 4 9 2 1 4 7 2 1 4 8 0 1450 1 5 3 0 1450 1160 1 2 4 2 1180
122 145 1 5 8 ' 135 144 150 14 0 136 133 141 110 8 9 100 5924 4391 7690 5535 5744 5773 5715 5608 5443 5613 5080 5086 4952
100 98 126 110 117 115 116 116 1 0 9 116 82 86 85 150 118 1 5 0 145 1 5 1 1 5 0 152 152 148 152 1 0 8 116 117
22 . 4 15 . 6 2 6 . 8 2 2 . 3 2 2 . 6 2 0 . 3 2 1 . 5 2 1 . 9 2 2 . 3 2 2 . 6 2 0 . 2 2 0 . 4 21 . 7 2 . 5 4 . 4 3 . 3 6 . 4 4 . 4 4 . 5 4 . 4 4 . 3 4 . 4 4 . 4 4 . 4 4 . 3 4 . 3
14 . 6 18 . 2 15 . 1 19 . 4 17 . 8 15 . 5 14 . 7 14 . 3 15 . 6 15 . 2 1 1 . 5 10 � 9 11 . 1 6 . 8 5 . 7 3 . 9 5 . 2 5 . 5 5 . 3 5 . 5 5 . 2 5 . 4 5 . 3 4 . 5 4 . 4 4 . 4
12 . 6 7 . 4 10 . 4 8 . 6 9 . 3 9 . 3 9 . 5 9 . 2 9 _ 5 9 . 4 8 . 5 8 . 7 8 . 6
4 *
4 5 0 7 . 3 -7 . 5
2 6 -2 7
1 5 9 8 764
5+
4 8 0 7 . 4 -7 . 6
2 5 -2 9
1608 713
17845 17913 3 14 7 3 1 12 1096 ' 1 2 04 1194
1 0 1 4 8 5 0
84 113 .
2 2 . 0 4 . 4
11 . 3 4 . 3 8 . 7
1170 98
4 962 86
1 1 0 2 2 . 6
4 . 4 1 1 . 2
4 . 4 8 . 5
Chromium 16 . 9 1 9 . 3 14 . 8 17 . 4 16 . 8 16 . 8 17 . 1 16 . 5 16 . 2 16 . 7 5 . 8 6 . 0 5 . 9 6 . 0 5 . 9 Copper BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL Cadmium BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL Manganese 0 . 2 64 0 . 42 6 0 . 2 8 2 0 . 3 15 0 . 3 04 0 . 3 0 3 0 . 3 05 0 . 3 02 0 . 3 04 0 . 3 0 3 0 . 1 79 0 . 18 5 0 . 178 0 . 18 9 . 0 . 1 86 Zinc 0 . 2 2 5 0 . 198 0 . 2 2 1 0 . 15 7 0 . 195 0 . 190 0 . 192 0 . 18 9 0 . 1 90 0 . 190 0 . 16 5 0 . 17 0 0 . 166 0 . 172 0 . 16 8 Lead 0 . 34 0 0 . 242 0 . 1 94 0 . 2 03 0 . 2 42 0 . 2 3 7 0 . 2 3 8 0 . 2 3 9 0 . 22 9 0 . 2 3 8 0 . 2 1 9 0 . 2 1 8 0 . 22 5 0 .. 2 1 9 0 . 22 0 Nickel Iron
BDL BDL 1 . 95 2 . 64
BDL 3 . 46
BDL 3 . 05
BDL BDL 2 . 96 2 . 94
BDL BDL 2 . 90 2 . 92
BDL 2 . 98
BDL 2 . 94
BDL 1 . 6 9
BDL 1 . 6 7
BDL 1 . 6 8
BDL 1 . 6 5
BDL 1 . 6 7
Contd . . .
z :> z o -< � I:> -
:E :> en -l tTl :E � tTl " � :> z :> Cl tTl � tTl Z -l Z
� Z Z tTl � tTl en
� 'D
Table 7 Contd . . .
Parameters
Colour , Pt - Co pH
Temp . , oC
Alkal inity SS TDS COD BOD Sulphates Sulphides Chlorides Anunonical N Kj eldhal N Nitrate N Nitrite N Phosphates Phenols O i l & Grease Heavy Metal s
Chromium Copper Cadmium Manganese Zinc Lead Nickel ' Iron
E f f . from Anaerobi c Lagoon E f f . from Pre - aeration Tank E f f . f rom Secondry Clarif ier
1 * 2* 3 * 4 * 5+ 1* 2 * 3 * 4 *
3 9 5 3 9 0 4 0 0 3 6 5 .3 8 5 345 3 3 5 3 15 3 2 0 7 . 4 - 7 . 2 - 7 . 1 - 7 ; 1 - 7 . 1 - 7 . 4 - � . 3 - 7 . 3 - 7 . 3 -7 . 6 7 . 7 7 . 2 7 . 2 7 . 6 8 . 0 7 . 5 7 . 4 7 . 4
2 6 - 2 7 - 2 7 - 2 7 - 2 7 - 2 6 - 2 7 - 2 5 - 2 6 -2 7 2 9 2 9 2 8 2 9 2 8 28 2 7 2 7
1 7 9 0 1 8 3 8 1802 1 7 8 6 1 8 12 1208 1196 1200 1 2 3 6 157 155 160 1 6 5 1 5 8 349 2 5 5 3 2 1 2 3 4
1 6 7 1 7 17005 1 6 7 6 9 1 6 8 2 8 16942 1 6 3 4 9 16240 16182 1 6 1 7 2 1940 2170 2 107 2 1 7 8 2147 1 0 4 0 1070 1126 1 0 6 7
8 0 7 807 736 7 3 7 7 96 2 1 1 2 1 0 234 2 2 2 3 5 2 5 3 0 3 5 3 0 7 9 0 750 7 6 9 7 5 0
1 8 9 1 6 7 184 1 8 0 1 7 6 8 7 8 9 4 744 4897 4825 4 6 3 8 4 8 6 3 4 7 0 0 4 8 0 8 4 76 5 4 5 5 0
1 1 0 111 1 1 2 105 1 1 0 6 7 6 2 6 7 6 9 1 4 3 1 4 6 1 4 8 1 3 7 140 8 7 81 8 8 9 1
10 . 5 10 . 6 1 1 . 7 10 . 9 1 1 . 3 13 . 4 13 . 2 13 . 1 1 3 . 7 2 . 2 2 . 1 2 . 0 2 . 1 2 . 0 BOL BDL BOL BDL 6 . 9 6 . 0 6 . 8 6 . 3 6 . 5 6 . 7 5 . 9 6 . 7 6 . 3 3 . 7 3 . 6 3 . 6 3 . 5 3 . 6 3 . 6 3 . 5 3 . 5 3 . 4 5 . 8 6 . 0 5 . 9 6 . 1 5 . 9 5 . 7 5 . 9 5 . 8 6 . 0
5+
3 3 0 7 . 3 -8 . 0
2 6 -
1 *
2 1 0 6 . 1 -7 . 0
2 6 -
2 * 3 *
2 2 0 2 0 5 6 . 1 - 6 . 1 -6 . 2 6 . 3
2 5 - 2 5 -
4* '
210 6 . 3 -6 . 9
2 5 -
5 +
210 6 . 1 -6 . 9
2 5 -2 8 2 7 2 7 2 6 2 6 2 7
1216 1 2 8 1 2 2 1 2 6 1 2 2 124 278 105 9 2 100 8 9 98
1 6 3 3 5 14534 14 3 0 8 1 4 6 93 14814 14678 1070 4 3 7 4 0 8 4 2 6 433 424
217 2 8 3 1 2 4 2 7 3 0 765 5 2 0 5 3 0 5 5 0 540 530
8 4 6 2 6
6 6 86
13 . 3 BOL 6 . 1 3 . 5 5 . 8
1 . 8 4178
26 34
8 . 9 BOL 2 . 5 BOL 4 . 7
1 . 5 4 3 0 7
2 7 3 5
9 . 5 BDL 2 . 0 BOL 4 . 8
1 . 9 1 . 8 4212 4263
2 5 2 7 3 3 3 6
9 . 9 9 . 7 BDL BOL 2 . 6 2 . 7 BOL BOL 4 . . 8 4 . 9
1 . 8 4 2 3 7
2 6 3 5
9 . 6 BOL 2 . 5 BOL 4 . 8
1 . 12 1 . 0 5 1 . 15 1 . 13 1 . 14 0 . 782 0 .. 771 0 . 7 90 0 . 7 8 1 0 . 78 1 0 . 6 8 2 0 . 6 8 7 0 . 6 7 9 0 . 6 85 0 . 6 80 BOL BOL BOL BOL BOL BOL BOL BOL BOL BDL BDL BDL BOL BOL BOL BOL BOL . BOL BOL BOL BOL BOL BOL BOL BOL BDL BDL BOL BOL BOL
0 . 08 0 0 . 082 0 . 083 0 . 082 0 . 08 1 0 . 075 0 . 076 0 . 079 0 . 08 0 0 . 078 0 . 062 0 . 0 6 5 0 . 06 7 0 . 070 0 . 06 0 0 . 16 5 0 . 16 2 0 . 157 0 . 1 5 8 0 . 16 0 0 . 156 0 . 1 52 0 . 15 6 0 . 15 0 0 . 152 0 . 13 7 0 . 13 5 0 . 13 8 0 . 14 0 0 . 142 0 . 16 5 0 . 16 2 0 . 158 0 . 162 0 . 16 1 0 . 14 0 0 . 13 8 0 . 13 6 0 . 14 1 0 . 13 9 0 . 06 8 0 . 06 S 0 . 06 2 0 . 063 0 . 06 8
BOL BOL BOL BOL BOL BOL BOL BOL BOL BDL BOL BOL BOL BOL BOL 0 . 735 0 . 73 8 0 . 736 0 . 73 0 0 . 73 3 0 . 6 03 0 . 6 0 9 0 . 5 8 9 0 . 6 1 0 0 . 6 0 1 0 . 4 5 5 0 . 46 3 0 . 46 5 0 . 458 0 . 46 0
Al l values are expre s s ed i n mg/ l . except * 6 h compos ite samples :
colour , pH and temperature ; BOL - Below detectable l imits ·
1 - 0 6 0 0 h to 1100 h; 2 - 1200 h + 24 h compos ite sample
� .... ,
to 1700 h ; 3 - 1800 h toO 2 3 0 0 h ; · 4 - 2 4 0 0 h toO - 0 5 0 0 h
, . "
.j:>. '" N
..... c.n 0. Z o
::tl t"I1 c.n
<: o " VI 00
c " . ;..c: '" '" '"
NANDY et al. : WASTEWATER M ANAGEMENT I N TANNERIES 493
Table 8 - Improvement in the performance of the chemical treatment unit
Parameter Concentration
After commissioning After proper 0 and M
Influent Effluent per cent Influent Effluent percent Removal Removal
BOD, mg/l 1 552- 1 71 5 1 324-1 420 1 3. 1 - 1 8.5 1 598-1 705 1 096-1 234 25.9-35.7
COD,mg/l 5808-6257 3786-3927 32.4-39.5 591 9-63 1 5 2658-321 5 47.4-56.9
SS, mg/lL 3065-3208 885-1 064 65.3-72.4 2470-3660 652-750 73.6-79.5
1
494 J SCI IND RES VOL 58 JULY 1 999
Table 9 - Treatability studies for combined wastewater
(Physico-chemical route with alum as coagulant)
Paramet ers Raw waste E f f luent concentrat ion - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
Coagulant dose - 'a'lum in mg/I - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - .
2 0 0 3 0 0 4 0 0 5 0 0
Appearance Dark Brown Brown Brown LiqJa'� Brown Brown
Colour , Pt - Co 1 0 0 0 8 1 5 7 9 9 7 4 5 7 0 0 pH 7 . 8 7 . 2 7 . 0 6 . 6 6 . 1 SS 3 1 0 0 2 3 8 4 2 1 5 8 1 8 6 3 1 6 1 8 COD 6 2 3 7 5 0 2 1 4 5 5 9 3 4 9 9 3 1 8 7 TDS 1 9 2 3 2 1 6 9 4 3 1 6 8 6 6 1 6 7 3 2 1 6 5 4 0 S ludge Volume , mL/ L 2 0 3 0 3 7 4 3 57
Al l value s except colour , pH, and s ludge volume are in mg/l Opt imum a lum dose : 5 0 0 mg/ l
Table 1 0 - Treatability studies for combined wastewater (Physico-chemical route with alum and l ime as coagulant)
Parameters Raw waste Effluent concentrat ion
6 0 0
Light Brown
6 7 5
6 . 0
1 5 4 1
3 1 1 2
1 6 5 0 1
7 5
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -Coagulant doose - a�lum : l ime in mg/ l
7 0 0
Light Brown
6 6 0
5 . 7
1 4 7 9
3 0 3 1
1 6 6 3 6
9 5
- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
5 0 0 : S O D : 5 0 0 : 5 0 0 :
4 0 0 5 0 0 6 0 0 7 0 0
Appearance Dark Light Light Light Faint Brown Brown Brown Brown Brown
Colour , Pt - Co 1 0 0 0 6 1 5 5 9 5 5 7 5 5 5 0
pH 7 . 8 7 . 2 7 . 5 7 . 8 8 . 1
SS 3 1 0 0 9 3 0 8 6 5 73 5 6 1 1
COD 6 2 3 7 2 9 6 9 2 8 1 0 2 4 2 0 2 0 3 3
TDS 1 9 2 3 2 1 5 73 2 1 5 7 8 9 1 6 0 9 7 1 6 4 4 3
Sludge Volume , mL/L 2 0 8 5 9 0 1 0 5 1 2 0
Al l values exc-ept colour , pH and s ludge volume are in mg/ l Opt imum dose o f Alum : Lime - 5 0 0 : 8 0 0 mg/ l
5 0 0 : 5 0 0 : 5 0 0 :
8 0 0 9 0 0 1 0 0 0
Faint Faint Faint Brown Brown Brown
4 9 5 4 7 5 4 6 0
8 . 5 9 . 0 9 . 8
4 9 6 4 5 6 4 2 8
1 5 6 0 1 3 4 7 1 1 3 2
1 6 8 8 0 1 7 1 3 6 1 7 4 4 3
1 5 0 1 5 5 1 6 5
,
-'
�
.�
,-
r � ..... ../
Table I I - Performance Evaluation of Common Effluent Treatment Plant (After Optimization of Chemical Treatment)
Parameters Receiving Sump Eff. from Equalization Basin Eff. from Primary Clarifier
I ' 2' 3' 4' 5+ l ' 2' 3' 4' 5+ I ' 2' 3' 4' 5+
Colour, Pt-Co 1 05 1 1 595 1 20 1 1 685 1 400 980 990 1 006 985 1 000 480 495 485 465 480 pH 8.2- 8.0- 7.0- 7.3- 7.0- 7.7- 7.9- 7.9- 7.7- 7.7- 7.7- 7.9- 7.9- 7.9- 7.7-
9.2 8.5 8.2 9.0 9.2 7.8 8 . 1 8.0 8.0 8 . 1 7.8 8.2 8.0 8.0 8 .2 Z ;J>
Ternp.,"C 25- 27- 27- 27- 25- 25- 27- 27- 27- 25- 25- 27- 27- 26- 25- Z 28 28 29 28 29 28 29 28 28 29 28 29 28 27 29 t:I -<
Alk�\ in.i ty 2260 2 1 20 1 9 1 0 1 990 20 1 0 2095 2 1 60 2 1 68 1 946 2008 1 655 1 5 1 5 1 672 1 468 1 555 � S S 4620 5500 1 490 7800 4730 3 4 1 9 3 362 3 3 1 8 3420 3392 485 535 547 424 500 �
-
TDS 1 943 1 1 5880 1 8694 2 1 5 23 1 8980 1 9337 1 8960 1 9004 1 9430 1 9 1 85 1 7307 1 7273 1 8836 1 7254 1 7458 COD 79 1 2 5464 6868 9847 7385 6677 6465 6738 63 1 0 6539 2 1 03 1 940 1 927 2070 2058 � BOD 2335 1 645 2099 29 1 4 2238 1 780 1 725 1 797 1 653 1 760 7 2 1 726 704 757 7 1 7 ;J>
CI:l Sulphates 1 550 1 385 1 730 1 1 36 1 400 1 1 50 1 1 20 1 1 75 1 1 35 1 1 50 948 930 920 940 932 -'l tTl Sulphicles 1 34 1 58 1 22 1 26 1 30 1 36 1 28 1 35 1 30 1 32 1 07 1 09 1 1 0 1 1 1 1 08 � Chlorides 62 1 8 4370 5975 7057 6 1 90 5936 5895 5943 6254 60 1 5 5343 5464 5366 5343 5400 � A mmonical N 1 02 1 1 6 1 24 1 33 1 1 6 1 09 1 1 4 1 1 7 1 1 4 1 1 5 83 86 83 78 84 tTl :;o::l Kjeldhal N 1 36 1 5 2 1 62 1 73 1 50 1 48 1 50 1 5 1 1 50 1 5 1 1 1 0 1 1 2 1 08 1 06 1 08 s:: N itrate N 2 1 .2 20.6 2 1 .8 22.7 22. 1 20.9 2 1 .3 22.4 23. 1 22.6 20.6 20.6 2 1 .9 2 1 .8 22.0 ;J> Nitrite N 4.4 5 .3 3 .5 4.2 4.3 4.4 4.3 4.5 4.3 4.4 4.3 4.2 4.3 4.2 4.3
Z ;J> Phosphates 1 4.3 1 5 .2 1 8 .4 1 9.0 1 7 .3 1 5. 2 1 5 .0 1 4.9 1 5 . 1 1 5 . 1 1 1 .3 1 1 . 1 1 1 .2 1 0.8 1 1 . 1 Cl tTl Phenols 4.3 5.5 7.6 3 .3 5 .4 5 .3 5 .6 5 .5 5 .4 5 .5 4.4 4.6 4.6 4.5 4.5 s:: Oil & Grease 1 0.2 8.9 9. 1 7.2 9.2 9.3 9.3 9.3 9.2 9.3 8.2 8.2 8.3 8.2 8 .3 tTl
Z Heavy Metals -'l -Chromium 1 7.0 1 7.3 1 6.8 1 7 .4 1 7 .2 1 6.4 1 6.5 1 6.9 1 6.3 1 6.5---� 5.4 5 .8 5 .9 5 .3 5 .6 Z -Copper BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL B DL BDL BDL BDL BDL -'l ;J> -Cadmium BDL BDL BDL BDL B DL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL Z -Manganese 0.304 0.308 0.306 0.3 1 0 0.308 0.303 0.304 0.307 0.3 1 0 0.306 0. 1 76 0. 1 85 0. 1 88 0. 1 89 0. 1 87 Z tTl -Zillc 0.203 0. 1 97 0. 1 98 0. 1 95 0. 1 98 0. 1 94 0. 1 95 0. 1 96 0. 193 0. 1 95 0. 1 7 3 0. 1 72 0. 1 73 0. 1 65 0. 1 70 :;o::l -Lead 0.242 0.240 0.234 0.233 0.238 0.237 0.239 0.24 1 0.236 0.239 0.22 1 0 .2 1 9 0.2 1 7 0.224 0.223 tri
CI:l -Nickei SOL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL -Iron 2.90 2.92 2.94 2.97 2.94 2.93 2.94 2.96 2.98 2.95 1 .66 1 .67 1 .68 1 .69 1 .66
Colour, PI-Co 375 385 355 380 370 3 20 340 333 335 3 30 205 220 225 230 220 pH 7.3- 7.4- 7.4- 7.4- 7.3- 7.4- 7.5- 7.5- 7.5- 7.4- 6.4- 6.3- 6.4- 6.3- 6.3-
7.4 7.5 7.5 7.5 7 .5 7.5 7.7 7.6 7.6 7.7 6.5 6.4 6.5 6.6 6.6 Te·mp.,o 28- 27- 26- 26- 26- 28- 27- 25- 25- 25- 27- 25- 25- 25- 25-
Contd . . . .l>-'D l.Il
Table 1 1 Contd . . .
29 29 27 27 29 29 28 27 27 29 28 27 26 Alkalinity 1 865 1 800 1 772 1 768 1 785 1 2 1 5 1 242 1 226 1 240 1 230 1 02 1 00 1 1 8 SS 1 1 1 1 1 3 1 07 1 0 1 1 1 0 235 205 2 1 9 258 235 1 1 2 1 05 1 09 IDS 1 6303 1 6565 1 7555 1 6478 1 6550 1 6058 1 6 1 0 1 1 6993 1 6 1 65 1 6203 1 5544 1 4909 1 5 5 1 5 COO 1 354 1 277 1 360 1 280 1 35 2 649 656 636 648 650 343 329 363 BOO 45 1 460 482 455 453 1 19 1 20 1 22 1 1 5 1 1 8 3 1 34 34 Sulphates 35 32 33 37 34 690 680 685 695 695 5 1 0 520 550 Sulphides 1 52 1 48 1 60 1 40 1 45 1 0 1 2 1 3 1 4 1 2 1 .9 1 .8 2.0 Chlorides 5247 5265 5248 5266 5295 5 2 1 0 52 1 8 52 1 5 5 222 5250 4595 4587 4574 Ammonical N 1 10 1 03 1 07 1 06 1 08 68 66 64 65 67 30 35 32 Kje\dhal N 1 45 1 35 1 39 1 42 1 39 79 89 86 83 84 42 43 46 Nitrate N 1 1 .2 1 0.9 1 0.2 1 1 .4 1 0.8 1 4.5 1 3 .7 1 3 . 3 1 4.2 1 3 .9 1 0.3 1 1 .2 1 0.9 Nitrite N 2.2 2. 1 2.3 2. 1 2.3 BOL BOL BOL BOL BOL BOL BOL BOL Phosphates 6.5 6.7 6.8 6.7 6.6 6.3 6.5 6. 1 6.4 6.3 3.2 3 .6 4.2 Phenols 3 .6 3.8 4.2 3 .7 3 .7 3.2 3.5 3.7 3 .6 3 .6 BOL BOL BOL Oil & Grease 5 .8 5 .7 6.2 5.8 5.9 5.7 5 .6 6.0 5 .5 5 .6 4.7 4.6 4.7 Heavy Metals -Chromium 1 . 14 1 .20 1 . 1 5 1 . 1 2 1 . 1 3 0.782 0.783 0.801 0.7 8 1 0.782 0.665 0.663 0.673 0.675 0.670 -Copper BOL BOL BOL BOL BOL BOL BOL BOL BOL B OL BOL BOL B OL -Cadmium BOL BOL BOL BOL B OL BOL BOL BOL BOL BOL BOL BOL BOL -Manganese 0.080 0.08 1 0.083 0.084 0.082 0.076 0.077 0.079 0.08 1 0.079 0.063 0.066 0.068 -Zinc 0. 1 62 0. 1 65 0. 1 57 0. 1 58 0. 1 6 1 0. 1 57 0. 1 53 0. 1 47 0. 1 5 1 0. 1 53 0. 1 36 0. 1 34 0. 1 37 -Lead 0. 1 65 0. 1 58 0. 1 62 0. 1 62 0. 1 6 1 0. 1 40 0. 1 42 0. 1 38 0. 1 37 0. 1 39 0.068 0.065 0.063 -Nickel BOL BOL BOL BOL B OL B OL BOL BOL B OL BOL BOL BOL BOL -Iron 0.738 0.735 0.736 0.730 0.733 0.603 0.605 0.602 0.60 1 0.602 0.454 0.462 0.466
All values are expressed in mgll except colour, pH and temperature; BOL - Below detectable limits * 6 h composite samples: 1 - 0600 h to 1 1 00 h; 2 - 1 200 h to 1 700 h; 3 - 1 800 h to 2300 h; 4 - 2400 h to 0500 h + 24 h composite sample
\ J (- " ""
27 28 1 05 1 00 1 14 1 1 0
1 5 1 63 1 5263 347 339
35 33 540 535 1 .8 1 .9
4860 4620 33 3 1 39 40 1 1 .6 1 0.5 BOL BOL 4.6 3.9 BOL BOL 4.8 4.7
BOL BOL BOL BOL
0.Q7 1 0.067 0. 1 39 0. 1 38 0.063 0.065 BOL B OL
0.460 0.460
Contd . . .
,
.j>. \D 0\
...... en 0 Z � � tTl en -< 0 " V1 00 ...... c £< \D \D \D
)
NANDY et ai. : WASTEWATER M ANAGE M ENT I N TANNERIES
Table 1 2- lmprovement in the performance of chemical treatment plant with optimum coagulant dosage
Parameter
BOD, mgll COD, mgll SS, mgll
Concentration After proper 0 and M After Optimising Chemical
Treatment Influent
1 598-1 705 591 9-63 1 5 2470-3660
Effluent 1 096-1 234 2658-321 5
652-750
%Removal 25.9-35.7 47.4-56.9 73.6-79.5
Influent 1 653-1 797 631 0-6738 331 8-3420
Effluent 704-757
1 927-21 03 424-547
%Removal 54.2-60.8 67.2-71 .4 83.5-87.6
497
Parameters
I '
Colour, Pt-Co 1 3 85 pH 7.8-
9 .8 Temp. ,oC 26-
27 Alkalinity 2360 SS 5 2 1 0 TDS 1 8487 1 8560 COD 1 00 1 2 BOD 3 1 04 Sulphates 1 620 Sulphides 1 22 Chlorides 7794 Ammonical N 1 1 0 Kjeldhal N 1 43 Nitrate N 22.3 Nitrite N 4.4 Phosphates 1 7.5 Phenols 5 .6 Oil & Grease 9.4 Heavy Metals -Chromium 1 7. 3 -Copper BDL -Cadmium BDL -Manganese 0.3 1 5 -Zinc 0.224 -Lead 0.343 -Nickel BDL -Iron 2.90
Table 1 3 - Performance Evaluation of Common Effluent Treatment Plant (After Optimization of Extended Aeration System)
Receiving sump Eff. from equalization basin
2' 3' 4' y I ' 2' 3' 4' y
1 456 1 398 1 284 1 3 80 980 990 1 000 985 1 0 1 5 9.2- 8 .0- 7.3- 7.3- 8.0- 8.2- 8. 1 - 7.7- 7.7-9.9 8.5 8.0 9.9 8.2 8.5 8.2 8.2 8.5 27- 27- 27- 26- 25- 27- 27- 27- 25-
29 29 28 29 26 30 28 28 30 2585 2448 1 896 2380 2368 2459 2224 20 1 5 2298 4926 5468 5 1 00 4823 4460 4240 39 1 0 4040 4263 1 69 1 2 22486 1 72 1 6 1 9996 20686 2 1 1 25 20960 1 9865 20292
9826 1 1 025 95 1 9 9968 9728 9898 7480 7540 866 1 2663 3528 2837 30 1 0 30 1 6 3068 2545 2594 2750 1 320 1 460 1 570 1 495 1 600 1 450 1 395 1 560 1 485 1 3 1 1 56 1 05 1 28 1 22 1 26 1 3 8 1 30 1 3 1
5924 9609 6835 8780 6484 6238 6 1 1 3 6505 6409 1 20 1 04 1 1 1 1 1 5 1 1 4 1 1 8 1 1 6 1 1 4 1 1 8 1 66 1 39 1 40 1 5 2 1 49 1 53 1 52 1 50 1 5 3
2 1 .9 2 1 . 5 20.5 22.6 22.3 2 1 .5 2 1 .9 20. 3 22.0 4.3 4.5 4.3 4.4 4.4 4.3 4.5 4.3 4.4 1 6.3 1 8 .9 1 5 .5 1 6.3 1 5 .3 1 5 .9 1 4.9 1 6 . 1 1 5 .4 4.9 5.7 4.2 5.5 5.4 5.2 4.8 5.5 5.3 7.4 9.2 6.5 8.5 8.6 9.2 9.4 8.9 9. 1
1 6.9 1 9.4 1 2. 3 1 6. 8 1 7 . 1 1 6. 8 1 6. 5 1 6. 3 1 6.7 BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL
0.408 0.207 0.3 1 0 0. 309 0.304 0.303 0.3 1 1 0.307 0. 307 0. 1 97 0.205 0. 1 28 0. 1 98 0. 1 98 0. 1 95 0. 1 98 0. 1 98 0. 1 97 0.201 0.333 0. 1 34 0. 238 0.240 0.239 0.234 0.234 0.238 BDL BDL BDL BDL BDL BDL BDL BDL BDL
2.92 1 .94 3 .00 2.93 2.95 2.90 2.93 2.98 2.95
...
I '
495 8.0-8.2 27-
28 1 630 477 1 8742
2878 1 23 8 1 260 1 04
58 1 5 85 1 1 2
22. 1 4.3 1 1 . 3 4.3 8.6
5.4 BDL BDL
0. 1 80 0. 1 70 0.2 1 8 BDL 1 .67
Eff. from primary clarifier
2' 3 ' 4' 5+
485 500 530 495 8.0- 8. 1 - 8.2- 8.0-8. 1 8 .3 8 .3 8 .3 27- 27- 27- 27-
30 28 28 30 1 606 1 595 1 528 1 580 564 606 570 547 1 8675 1 8675 1 8 1 76
2702 22 1 4 2270 2598 1 1 69 1 1 1 5 1 1 44 1 1 00 1 1 70 1 1 65 1 1 95 1 1 95 1 02 1 1 4 1 08 1 1 0
5765 5606 5760 5 7 1 0 79 86 82 85 1 07 1 1 3 1 09 1 1 2
20.9 2 1 .8 20.2 2 1 .9 4.2 4.4 4.2 4.3 1 1 . 1 1 1 . 3 1 0.9 1 1 .0 4.2 4.4 4.5 4.3 8.3 8.7 8 .5 8 .6
5.8 5 .9 5 .2 5 .6 BDL BDL BDL BDL BDL BDL BDL BDL
0. 1 84 0. 1 79 0. 1 90 0. 1 86 0. 1 65 0. 1 66 0. 1 72 0. 1 67 0.225 0.2 1 9 0.220 0.220 BDL BDL BDL BDL 1 .68 1 .65 1 .69 1 .67
Contd . . .
.....
.j:>. 'D 00
"-
CIl (j -
Z I:) it' tTl CIl
< 0 r V\ 00 '-c:: � 'D 'D 'D
;( )Y -( - '-- .¥
Table 1 3 Contd . . .
Parameters Receiving sump Eff. from equalization basin Eff. from primary clarifier
r 2' 3' 4' 5- I ' 2' 3' 4' 5- I ' 2' 3' 4' 5'
Colour, Pt-Co 360 365 380 355 360 320 325 3 35 300 325 1 95 2 1 5 220 1 90 1 95 pH 8.0- 8 .0- 8.0- 8. 1 - 8.0- 8. 1 - 8 . 1 - 8 . 1 - 8 . 1 - 8 . 1 - 6. 1 - 6. 1 - 6.4- 6.4- 6. 1 - Z
8 . 1 8 . 1 8 .2 8.2 8 .2 8.2 8.2 8.2 8 .2 8 .2 6 .2 6.2 6.6 6.5 6.5 >-
Temp.,"C 24- 27- 28- 26- 24- 24- 26- 26- 26- 24- 25- 25- 25- 25- 25- Z 0
27 30 3 1 27 3 1 27 27 27 27 27 26 27 26 26 27 -< Alkalinity 1 762 1 798 1 865 1 826 1 785 1 222 1 206 1 200 1 2 1 6 1 2 1 0 1 08 1 1 2 1 07 1 09 1 08 � SS 1 09 1 1 3 1 07 1 1 2 1 1 1 28 1 263 332 309 29 1 87 82 93 90 88 � IDS 1 7655 1 7667 1 7872 1 7304 1 7630 1 7337 1 73 3 1 1 7443 1 7 1 48 1 7307 1 5326 1 5685 1 5332 1 5656 1 549 1 � COD 1 767 1 770 1 6 1 6 1 47 1 1 649 769 7 1 7 7 7 1 752 755 244 29 1 265 297 269 >-BOD 770 738 802 761 750 224 209 228 207 230 27 26 24 24 26 en
� Sulphates 34 35 39 38 37 695 690 670 682 688 532 539 5 27 545 537 trl
� Sulphides 1 58 1 30 1 35 1 48 1 39 9 1 2 1 1 8 1 0 1 .5 1 .4 1 .9 2.0 1 .7 � Chlorides 5692 5648 5527 5666 5622 5600 5580 5585 552 1 5555 5 1 52 5 292 4964 5 1 23 5 1 04 trl Ammonical N 1 04 1 1 0 1 08 1 09 1 08 69 66 67 65 68 23 25 28 27 26 ::tl Kjeldhal N 1 35 1 43 1 42 1 40 1 40 90 87 86 85 88 34 34 38 36 34 3::
>-Nitrate N 1 0.9 1 1 .7 1 0.6 1 0.5 1 1 .3 1 6. 1 1 8 .7 1 6.5 1 5 . 8 1 6.7 9.6 8.7 8.6 7.9 8.6 Z Nitrite N 2.2 2. 1 2.4 2.2 2.3 BDL B DL BDL BDL BDL BDL BDL BDL BDL BDL >-
a Phosphates 6.9 7.2 6.2 6.5 6.7 6.5 6.4 6.2 6.0 6.3 2.5 3 .0 2.8 3 . 1 2.9 trl Phenols 3 .5 3.4 3.8 2.9 3.4 3.2 3 .4 3 .5 3.0 3 . 1 BDL BDL BDL BDL BDL 3:: trl Oil & Grease 6. 1 5.8 5 .5 6.2 5.9 6.0 5 .8 5 .2 5 .7 5 .7 4.9 4.2 3.9 4.6 4.3 Z Heavy Metals
-l -
-Chromium 1 .20 1 . 1 5 1 . 1 2 1 . 1 4 1 . 1 3 0.783 0.782 0.785 0.784 0.783 0.653 0.668 0.670 0.663 0.665 Z -Copper BDL BDL BDL B DL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL � -Cadmium BDL BDL BDL B DL B DL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL Z
Z -Manganese 0.080 0.083 0.084 0.08 1 0.082 0.079 0.082 0.D78 0.079 0.D78 0.068 0.067 0.070 0.072 0.069 trl ::tl -Zinc 0. 1 58 0. 1 57 0. 1 62 0. 1 65 0. 1 6 1 0. 1 53 0. 1 54 0. 1 52 0. 1 5 1 0. 1 52 0. 1 40 0. 1 38 0. 1 37 0. 1 4 1 0. 1 39 -trl -Lead 0. 1 62 0. 1 58 0. 1 65 0. 1 58 0. 1 6 1 0. 1 4 1 0. 1 40 0. 1 39 0. 1 42 0. 1 40 0.063 0.065 0.064 0.065 0.064 en -Nickel BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL BDL B DL BDL BDL BDL -Iron 0.735 0.736 0.738 0.73 1 0.733 0.603 0.602 0.602 0.60 1 0.60 1 0.463 0.465 0.463 0.464 0.464
All values are expressed in mg/! except colour, pH and temperature; BDL - Below detectable limits * 6 h composite samples: I - 0600 h to 1 100 h; 2 - 1 200 h to 1 700 h; 3 - 1 800 h to 2300 h; 4 - 2400 h to 0500 h + 24 h composite sample
.j::o. \0 \0
500 J SCI IND RES VOL 58 JULY 1 999
Table 14 - Characteristics of final treated effluent obtained during different monitoring periods
Concentration as Monitored on Parameters
Colour, Pt-Co pH Temp . , OC Alkalinity S5 TDS COD -BOD Sulphates Sulphides Chlorides Ammonical N Kjeldhal N Nitrate N Nitrite N phosphates Phenol s Oil & Grease
Chromium
1# _ _ _ _ _ _ _ _ � � M _ _ _ _ _ _ _ _
Range* Average+
195-210 200
6 . 5-6 . 8
25-27
120-130 128
106- 112 ill 14889- 15348 15042
475- 524 510
32 - 37 34 510-530 525
1 . 6 -2 . 1 1 . 8
4295 -4423 42 59 23-28 25 30-38 3 3
8 . 4- 9 . 3 8 . 5 BDL BOL
2 . 1 - 2 . 3 2 . 1
BDL SOL 4 . 5 -4 . 6 4 . 5
0 . 6 78-0 . 692 0 . 6 89
!I## - - - - _ . _ - - - - - - - - - - - -
Range t Average+
205-220 210
6 . 1-6 . 9
2 5-27
122 - 128 124
89-105 9.S 14308-14814 14678
408-437 ill 24-31 30
520-550 530 1 . 5-1 . 9 1 . 8
4178-4307 4237
25-27 26 3 3 - 36 3 5
8 . 9- 9 . 9 9 . 6 BOL BDL
2 . 0 -2 . 7 2 . 5 30L BDL
4 . 7 -4 . 9 4 . 8 0 . 679- 0 . 68 7 0 . 6 80
All values except colour I pH, and temperature are in mg/l SDL - Below detectable limits
II After commissioning ## After proper operation and maintenance @ After optimization of chemical treatment 1}19 After optimization of extended aeration system
III@ - - - - - - - - - � - � - - - - - - �
Range t Average +
205-230 22 0
6 . 3- 6 . 6
2 5 - 28
100- 11S 100
l.Qi:ill 110 14909- 15544 15263
3 2 0 - 363 339 31-35 33
510-550 535 1 . 8- 2 . 0 1 . 9
4574-4 860 4620
30-35 3 1
3 9 - 4 6 40 10 . 3 - 1 1 . 6 10 . 5
BDL BDt 3 . 2 - 4 . 6 3 . 9
SDL BDL 4 . 6 - 4 . 8 4 . 7
0 . 663 - 0 . 675 0 . 670
" Hourly samples collected and composited for 6 h over a period of 24 h + * * ( t )
+ + ( t t )
Hourly samples. collected and composited for 24 h Standards for inland . surface water discharge Removal to the extent possible Should not exceed 5°C above the receiving water temperature 400C at the point of discharge
.
StandardsH
IV@@ MEF TNPCB � - - - - - - - - - - - - - - - - - -
Range* Average+
190-220 195 (t) 6 . 1- 6 . 5 5 . 5-9 . 0 5 . 5- 9 . 0
25-27 ++ (ttl 107 -112 lOS 82 -93 88 100 100
15326-15685 15491 2 100
244-297 269 250 250
24-27 26 3 0 3 0 527-545 537 1000 1 . 4-2 . 0 1 . 7 2 . 0 2 . 0
4 964- 5292 5104 1000
23-28 26 50 5 0
34 - 3 8 3 4 1CO 100 7 . 9- 9 . 6 8 . 6 1 0
BDL BDL 2 . 5 -3 . 1 2 . 9
BDL SDL 1 . 0 1 . 0 3 . 9-4 . 9 4 . 3 10 10
0 . 6 5 3 - 0 . 6 7 0 0 . 6 6 5 2 . 0 2 . 0
-I
.,.
{
Parameters
'*" �
Table 1 5 - Treatabi lity studies for tertiary treatment of secondary treated effluent (Physico-chemical route with alum as coagulant)
Raw w :aste E f f luent concent rat i on - - - - - - - - - - - - - - - - - 7 - - - - - - � - - - - - - - - - - - � - - - - -
Coagulant dose - alum : lime in mg/l
3 0 0 : 3 2 5 : 3 5 0 : 3 7 5 : 4 0 0 : 4 5 0 : 2 0 0 2 0 0 2 2 5 2 5 0 2 7 5 3 0 0
Colour , Pt - Co 1 9 5 1 2 2 1 0 7 9 3 8 8 8 3 7 8 pH 6 . 4 6 . 8 6 . 8 6 . 8 6 . 5 6 . 5 6 . 6 SS 8 8 5 9 5 8 54 5 3 5 0 4 7 COD 2 6 9 1 6 9 1 5 6 14 8 1 4 3 1 4 0 1 3 4 TDS 1 5 4 9 1 1 3 6 1 7 1 3 5 7 0 1 3 5 2 5 1 3 6 7 9 1 3 8 3 3 1 4 0 3 5 S ludge Volume , ml\l 5 0 5 5 6 2 7 0 7 9 8 5
Al l values except colour , pH and s ludge-vOlume are in mg/l Opt imum dose - a lum : lime 3 5 0 : 2 2 5 mg/ l
�
z >z Cl -< � :::. -
� C/.l -'l tTl � � tTl iO
3:: >z >o tTl 3:: tTl Z -'l -Z
� Z Z tTl iO -tTl C/.l
U1 o
Parameters
Table 1 6 - Treatability studies for tertiary treatment of secondary treated effluent (Physico-chemical route with alum and lime as coagulant)
Raw waste Effluent concentration - - - - - - - � - - - - - - - - - - - - - - - .. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ,
a lum lime Polyelectrolyte - doses in mg/ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - .
350 : 350 : 350 : 350 : 350 : 350 : 350 : 350 : 350 : 350 : 225 : 225 : 225 : 225 : 225 : 225 : 225 : 225 : 225 : 225 : 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9 1 . 0
Colour , Pt - Co 195 78 74 6 9 6 7 6 7 · 66 65 65 64 63 pH 6 . 4 6 . 6 6 . 6 6 . 6 6 . 7 6 . 7 6 . 7 6 . 7 6 . 8 6 . 8 6 . 9 as 88 49 48 48 45 45 44 43 43 42 41 CQD 269 135 12 9 126 123 123 122 121 120 118 117 TDS 15491 13446 13353 13245 1313 6 13136 13121 13121 13136 13136 13152 Sludge Volume , m: l/l 61 6 0 6 0 5 8 58 58 57 57 55 54
All values except colour , pH and sludge volume are in mg/ l Optimum dose - alum : lime : p olyelectrolyte 350 : 225 : 0 . 4 mg/l
:{ '- .J.. -..:
Ut o tv
"-en 0 Z 0 ::0 m en
< 0 r-Ut 00 "-c:: t< \0 \0 \0
Parameters
Colour , Pt-Co pH SS
COD
y ,� '-
Table 1 7 - Treatability studies for tertiary treated of secondary treated effluent (Physico-chemical route with alum and lime as coagulant and cationic polyelectrolyte as coagulant aid)
Raw waste E f fluent concentration
�
- - - - - - - - - - - - - - - - - - - - - - - -. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ,
a lum : lime : Polyelectrolyte - d oses in mg/l - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - . - - - - - - - - - - - - - - - - - - - - - - - - - - - .
3 5 0 : 350 : 3 50 : 3 5 0 : 350 : 3 5 0 : 350 : 350 : 3 5 0 : 225 : 2 2 5 : 225 : 225 : 2 2 5 : 225 : 22 5 : 225 : 2 2 5 : 0 . 1 0 . 2 0 . 3 0 . 4 0 . 5 0 . 6 0 . 7 0 . 8 0 . 9
195 78 74 69 67 6 7 . 66 65 65 64 6 . 4 6 . 6 6 . 6 6 . 6 6 . 7 6 . 7 6 . 7 6 . 7 6 . 8 6 . 8
88 49 48 48 45 45 44 43 43 42 269 135 129 126 123 123 122 121 120 118
3 5 0 : 2 2 5 : 1 . 0
6 3 6 . 9
41 117
TOS 15491 13446 13353 13245 13136 13136 13121 1312 1 13 136 13136 13152 Sludge Volume , mill 61 6 0 60 58 58 58 57 5 7 55 54
All values except colour , pH and sludge volume are in mg/ l Opt imum dose - alum : lime : p olyelectrolyte 3 5 0 : 225 : 0 . 4 mg/l
z :> z " -< � �
� en ...:j t'I1 � � t'I1 �
s:: :> z :> a t'I1 s:: t'I1 Z ...:j -z
� z Z t'I1 � -t'I1 en
u. o w
Parameter
1*
Table 1 8-- Performance evaluation of common effluent treatment plant (After upgradation of CETP)
Receiving Sump Ef f . from Equalization Basin Eff . from Primary Clarifier
2 * 3'* 4* 5 * 1 * 2 * 3
* 4* 5* 1* 2 * 3 * 4 * 5 *
Colour, Pt-Co 16 9 0 1 6 5 0 1 8 9 5 12 8 0 1 4 5 0 1 0 90 1 000 10 1 5 102 0 1020 535 510 pH B . 8 9 . 8 - 7 . 7 - 7 . 5- 7 . 7 - 7 . 8 7 . 8 - 7 . 8 - 7 . 5 - 7 . 5 - 7 . 7 7 . 6 -
545 7 . 6 -
8 . 2 2 8 -
5 5 0
7 . 6 -8 . 2
2 9 -
5 3 0 7 . 6 -B . 2
2 8 -
9 . 0 9 . 0 9 . 0 7 . 9 8 . 2 8 . 2 8 . 2 B . 2 7 . 7 Temp . 1 °C 3 0 3 0 - 3 0 - 2 8 - 2 8 - 3 0 3 0 - 3 0 - 2 8 - 2 8 - 3 0 3 0 -
Alkal inity SS TDS COD BOD Sulphates Sulphides ' Chlorides Ammonical N Kj eldahl N Nitrate N Nitrite N phosphates Phenols Oil & Grease Chromium
31 31 3 1 31 31 3 1 3 1 3 1 3 1 31 3 1 3 1
1740 19 5 0 2 0 7 0 17 3 0 2004 1 9 0 8 2 04 0 2 1 9 0 2 0 5 0 2 0 1 0 16 0 0 1 5 7 0 1 5 8 0 1 6 6 0 1 6 0 0
4 2 8 0 5 1 8 0 4 2 83 4 9 8 0 43 5 0 4 2 0 0 44 8 0 4 1 5 0 4 8 5 0 4 2 8 0 6 0 1 5 8 2 656 5 7 7 6 3 8 1253 0 15 96 0 1 0 1 0 0 I1BOO 12 3 4 8 144 0 0 12 862 12 0 0 3 11999 1 2 3 0 0 1 1344 11310 1 0 803 1 0 991 1 1 1 93
546 9 5743 612 0 4810 5950 6 8 4 0 4979 5 3 8 6 5600 513 8 1 8 54 1494 1 4 6 0 1 6 3 5 1 5 8 3 2 13 5 1 6 70 12 5 0 1 0 8 0 1 5 3 4 1 7 1 0 1 5 9 0 1 5 6 2 1 7 3 6 1644 6 5 2 7 0 6 656 6 6 3 6 5 8
2 0 50 1 6 0 0 15 0 0 1 2 5 0 1 6 0 0 2 0 5 0 1 8 8 0 1 8 5 0 2 1 5 0 2 0 5 0 15 8 0 15 1 0 1 5 0 0 1 7 6 5 1 5 7 5 77 6 3 74 72 74 5 S 83 . 7 0 82 60 3 5 62 51 4 9 4 3
5 3 6 9 4 12 0 54 5 0 6 2 1 5 53 6 9 5 5 6 0 5125 5 6 7 0 5 9 5 0 5 6 7 5 54 3 0
130 112 14 5 110 1 3 0 132 12 8 1 2 9 126 12 7 1 1 7 1 90 1 9 2 1 8 5 150 1 8 3 1 8 5 1 8 3 1 7 9 1 8 0 1 8 2 1 6 5
2 3 . 0 2 1 . 6 20 . 8 18 . 5 2 1 . 3 2 1 . 5 2 0 . 9 2 1 . 7 2 2 . 5 2 1 . 6 ' 2 0 . 5
5 . 5 3 . 6 4 . 9 4 ; 3 4 . 5 5 . 7 4 . 2 4 . 7 4 . 4 4 . 6 4 . 0 12 . 1 18 . 7 20 . 4 18 . 8 1 8 . 3 1�. 6 1 5 . 8 16 . 2 15 . 9 15 . 5 1 1 . 4
2 . 5 3 . 1 3 . 0 2 . 9 3 . 0 3 . 0 3 . 0 3 . 2 2 . 8 3 . 1 2 . 1
1 0 . 3 11 . 2 8 . 8 6 . 5 9 . 0 9 . 3 9 . 2 9 . 1 9 . 3 9 . 2 8 . 3 3 8 . 3 24 . 4 3 0 . 1 3 2 . 8 3 0 . 4 3 2 . 0 2 8 . 9 2 9 . 3 32 . 6 3 1 . 9 4 . 9 2
� ....
5 02 5
1 1 3
5 5 3 0
114 5 7 1 0
113 5 5 6 0
1 1 4 1 5 3 160 161 158
2 0 . 4 2 0 . 3 21 . 7 2 0 . 5 4 . 5 4 . 3 4 . 3 4 . 2
1 0 . S 11 . 0 11 . 4 11 . 3 2 . 2 2 . 1 2 . 1 2 . 1
8 . 1 8 . 0 8 . 4 8 . 3
5 . 5 1 5 . 56 4 . 7 0 5 . 0 5
Contd " "
--<
lI\ o +>-
C/) Q z CJ � tTl C/)
< o r lI\ 00 '-c: � -.0 'D \D
)l.-' -..(
conto. .
Parameter Eff . from �aerobic Lagoon
1 * 2 * 3 * 4 * 5 *
Colour , Pt - Co 3 6 0 3 90 3 6 5 3 7 0 3 5 5 pH 7 . 5 7 . 5 - 7 . 5 - 7 . 5 - 7 . 5 -
7 . 8 7 . 9 7 . 9 7 . 9 Temp . , oC 3 0 3 0 - 3 0 - 2 9 - 2 9 -
3 1 3 1 3 1 3 1
Alkalinity 1 8 6 0 1 8 9 0 1 9 1 0 18 8 5 1 8 3 0
SS 1 4 1 1 3 4 1 4 6 134 1 4 9 TDS 1 0 6 7 5 1 0 7 1 0 1 0 3 7 0 1 0 4 7 0 1 0 5 43 COD 1104 1 1 0 6 1 0 6 4 1 0 4.6 93 3 BOD 4 6 8 4 3 9 4 66 4 7 6 441
Sulphates 7 5 73 6 9 7 7 5 7 Sulphides B O 8 7 8 9 9 0 75 Chlorides 5 12 0 5 0 0 6 5 1 0 6 54 6 5 5 1 13
Ammonical N 1 05 1 1 8 107 1 1 3 1 1 0 Kj eldahl N 1 5 0 165 152 156 1 5 5
Nitrate N 1 1 . 5 1 0 . 3 1 0 . 3 1 1.. 3 1 0 . 8 Nitrite N 2 . 0 2 . 1 2 . 3 2 . 1 2 . 1 Phosphates 9 . 8 9 . 6 9 . 2 8 . 9 9 . 3
Phenols 1 . 2 0 . 8 1 . 1 0 . 6 0 . 8 Oil &: Grease 6 . 1 5 . 7 5 . B 6 . 0 5 . 9
Chromium 1 . 4 1 3 1 . 5 2 8 1 . 4 9 5 1 . 54 2 1 . 5 44
""
Eff . from Pre -aeration Tank
1 * 2 * 3 * 4* 5*
3 05 3 5 0 3 1 0 3 2 0 3 1 5 7 . 8 7 . 1 - 7 . 6 - 7 . 6 - 7 . 6 -
8 . 2 B . 2 8 . 2 8 . 2 3 1 3 0 - 3 0 - 3 0 - 3 0 -
3 1 3 1 3 1 3 1 1 2 9 0 1 3 0 0 13 1 0 13 5 0 1 3 1 0
2 6 4 2 9 0 3 3 0 3 2 0 2 9 5 1 0 3 9 6 1 0 5 7 0 1 02 7 8 1 0 3 4 0 1 0 2 7 9
6 6 6 5 7 5 5 3 2 5 7 5 5 6 7
1 4 8 1 6 7 1 6 6 1 5 9 1 5 4 5 S 0 5 9 0 5 8 2 5 8 8 5 8 3
BDL BDL BDL BDL BDL 4 82 4 4 9 3 0 4 9 3 2 5 2 3 5 5 0 7 9
95 8 4 8 6 9 0 9 2
12 6 12 0 1 1 9 1 2 8 124 14 . 6 1 3 . 9 14 . 2 14 . 3 1 4 . 2
1 . 5 1 . 9 L 6 L 3 1 . 4 8 . 2 8 . 3 8 . 1 8 . 5 8 . 2 0 . 5 0 . 4 0 . 1 0 . 1 0 . 2 4 . 3 4 . 2 5 . 1 4 . 5 4 . 4
1 . 0 1 8 1 . 0 1 7 1 . 0 1 5 1 . 02 0 1 . 019
�
Contd . . . .
z > z 0 -< � � � > CIl -l tTl � � -tTl � :s: > z > 0 tTl :s: tTl Z -l z -l > z z tTl � tTl CIl
1Il o 1Il
v. 0
Table 1 8 Contd . . . . 0\
Parameter Eff . f rom secondary c lari fier · Eff . from t ube sett l er - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
�* 2* 3 * 4 * 5 * � * 2 * 3 * 4 * 5*
Colour, P t - Co �85 2 1 5 2 � O 2 2 0 2 0 5 � O O 1 � 5 � l S ��O �1 5 pH 7 . 4 7 . 4 - 7 . 4 - 7 . 4 - 7 . 4 - 8 . 0 7 . 8 - 7 . 7 - 7 . 7 - 7 . 9 -
7 . S 7 . 6 7 . 6 7 . 6 8 . 9 7 . 8 8 . 0 8 . 9 Temp . , oc 3 0 2 9 - 2 9 - 2 9 - 2 9 - 3 0 2 9 - 2 9 - 2 9 - 2 9 -
3 1 3 0 3 0 3 2 3 0 3 1 3 2 3 2 Alkal inity 2 4 0 2 3 6 2 2 0 2 3 0 2 2 0 2 4 5 2 4 7 2 3 0 2 3 5 2 3 0 SS 8 2 9 0 9 8 8 8 8 6 3 7 4 8 5 2 4 3 4 4 TD S 99 1 3 9 7 10 9 5 3 5 9 9 0 0 9 8 6 7 972 0 9 6 � 0 9 3 5 3 97 9 9 9 7 0 � ..... COD 2 6 0 2 5 2 2 3 5 2 5 3 2 5 0 1 5 0 1 7 3 1 6 0 l. 7 2 1 5 9 en (') BOD 2 l. 18 1 9 1 7 1 6 6 5 7 6 5 -Sulphates 4 3 0 4 3 5 4 2 0 4 4 0 4 3 0 4 5 0 4 6 0 4 7 0 4 6 5 4 6 3 Z Sulphides BDL BDL BDL BOL BDL BDL BDL BDL BDL BDL 0 Chlorides 4 7 7 1 4 8 ], 7 4 8 5 5 502 0 4 8 8 5 4 6 8 8 4 7 8 0 4 6 0 0 4 9 6 0 4 7 5 8 ::0
tTl Ammonical N 1.0 . 1. 8 . 7 ],0 . 9 8 . 3 1. 0 . 0 1 . 5 2 . 3 1 . 7 1 . 4 1 . 7 en Kj eldahl N 14 . 1 1 2 . 3 �S . 1 �2 . 5 J. 3 . 4 2 . 2 3 . 1 2 . 4 1 . 9 2 . 3 < \ Nitrate N 9 . 6 9 . 1 9 . 8 9 . 2 9 . 2 8 . 1 8 . 0 8 . 9 8 . 5 8 . 5 0 Nitrite N BDL BOL BDL BOL BDL BDL BDL BOL BDL BDL t-
v. Phosphat.es 4 . 0 4 . 1. 4 . 2 3 . 9 4 . 0 2 . 0 1 . 8 2 . 1 2 . 0 1 . 9 00
Phenols- BOL BOL BDL BDL BDL BDL BDL BOL BDL BDL ..... c::::
Oil 6< Grease 3 . 2 3 . 5 3 . 2 3 . 1 3 . 2 2 . B 2 . $ 2 . 5 2 . 7 2 . 6 � Chromium 0 . 57 2 0 . 5 6 0 0 . 5 8 0 0 . 5 7 5 0 . 5 7 7 0 . 1 6 5 0 . 1 6 9 0 . 16 2 0 . 17 0 0 . 1 6 8
'" '" '"
All values except colour , pH and temperature are in mg/ l
BDL - Below detectable limits * ]. - Zero h ; 2 - 6 h compos ite ( 1 0 0 0 - 1. 5 0 0 h ) i 3 - 12 h composite
( 1 0 0 0 - 2 1 0 0 h ) ; 4 - 18 h compos ite ( 1 0 0 0 - 0 3 0 0 h ) ; 5 - 24 11 composite ( 1 0 0 0 - 0 9 0 0 h )
'r- � ... �
� " \.
Table 1 9 - Perfonnance data of CETP after upgradation during different monitoring periods
Parameter Equa l i zed Inf luent F inal Treated e f fluent - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - � - - - - - � - - -
1 * 2 * 3 * 4 * 5 * 6 * 1 * 2 * 3 * 4 * 5 * 6 *
Colour , · Pt - Co 1 0 5 0 1 0 0 0 1 0 0 5 1 0 7 0 9 3 5 1 0 2 5 1 0 5 1 0 5 1 0 0 9 0 90 80 pH 8 . 0 - 7 . 8 - 7 . 8 - 7 . 9 - 7 . 8 - 8 . 0 - 7 . 9 - 7 . 9 - 7 . 6 - 7 . 7 - 7 . 7 -:- 7 . 7 -
8 . 1 8 . 2 8 . 2 8 . 1 8 . 1 8 . 2 8 . 2 8 . 1 8 . 3 8 . 4 8 . 0 8 . 0 Temp . , oC · 3 0 - 3 0 - 2 9 - 3 0 - 3 1 - 3 1 - 3 0 - 3 0 - 3 0 - 3 0 - 3 0 - 3 0 -
3 1 3 1 3 1 3 1 3 3 3 2 3 1 3 1 3 1 3 1 3 1 3 1 Alkal inity 2 3 6 0 2 4 3 0 2 4 5 0 2 2 2 0 2 3 15 2 3 2 0 2 7 5 2 1 0 1 1 5 1 1 7 1 2 0 125 S S 4 94 0 4 9 5 2 4 4 6 5 4 2 6 0 4 8 1 7 4 6 1 5 4 2 4 0 4 5 3 8 3 9 3 8 TDS 1 2 7 4 0 1 2 1 6 0 1 1 4 0 2 1 2 4 0 0 1 2 5 2 0 12462 1 0 0 0 8 1 0 2 1 9 9 0 7 6 9 8 4 3 1 0 0 4 1 9 8 3 0 COD 5 3 4 3 6 0 8 1 5 9 9 6 5 7 5 1 6 6 8 5 6 5 5 6 146 125 124 118 98 96 BOD 1 6 04 1 5 2 0 1 7 3 3 1 6 1 0 1 7 3 8 1 7 8 9 7 5 3 2 2 3 Sulphates 2 0 0 0 1 4 7 2 1 5 8 5 14 5 0 1 4 5 0 1 1 3 5 4 5 0 4 5 0 4 6 0 4 5 0 4 2 0 4 5 5 Sulphides 9 0 5 5 92 78 94 70 BDL BDL BDL BDL BDL BDL
. Chlorides 5 9 0 5 5 7 1 0 594 0 574 0 5 7 3 0 5 7 2 0 4 8 2 3 4 5 13 4 72 6 4 6 8 0 4 7 2 0 4 6 70 Ammonical N 1 0 3 1 0 9 8 8 1 1 5 1 3 5 1 0 8 0 . 5 0 . 7 1 . 3 2 . 0 0 . 1 2 . 1 Kj eldahl N 143 14 0 1 1 9 1 5 0 1 8 8 14 9 0 . 7 1 . 0 2 . 0 3 . 0 0 . 2 3 . 0 Nitrate N 2 0 . 7 2 2 . 3 2 1 . 5 2 2 . 1 2 0 . 1 22 . 5 8 . 0 8 . 4 9 . 4 8 . 2 8 . 1 8 . 2 Nitrit e N 4 . 3 4 . 4 4 . 5 4 . 5 4 . 7 4 . 6 BDL BDL BDL BDL BDL BDL Phosphates 1 5 . 3 1 9 . 6 1 9 . 5 2 0 . 1 2 0 . 0 2 0 . 3 2 . 2 3 . 0 2 . 1 2 . 3 1 . 9 2 . 2 Phenols 3 . 3 5 . 5 4 . 1 5 . 0 5 . 1 4 . 8 BDL BDL BDL BDL BDL BDL Oil &t Grease 9 . 4 8. . 6 9 . 3 8 . 9 7 . 2 8 . 9 3 . 2 3 . 0 2 . 9 3 . 3 3 . 4 2 . 5 Chromium 3 2 . 8 2 9 . 3 3 2 . 1 3 3 . 3 3 4 . 0 2 9 . 9 0 . 15 1 0 . 15 9 0 . 16 2 0 . 153 0 . 15 6 0 . 164
. All values are expressed in mg/l except colour , pH and temperature * Hourly samples col lected and composited for e ight hours on different dates BDL - Below detectable l imit s
z > z 0 -< � ... I:l !"-
� > en -l m � � m �
3: > z > 0 m 3: m z -l -z
� Z Z m �
til en
Vl o -..J
IJ\ 0 00 Table 20 - Design parameters for unit processes and operations at varying operating conditions
particulars Des ign Operating values as .monitored v alue - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - _ .
Performance After After After After Up-e:"aluation proper . optimization optimization gradation of CETP operation of Chemical of extended of CETP after comm- main- treatment ae.ration iss ioning tenance system
Flow, m3 /d 4 0 0 0 2 7 52 . 6 2 7 1 0 . 2 2 7 6 8 . 2 2 8 2 3 . 1 2 02 5 . 6 - 2 2 58 . 2
Chemical d ose "-en
Alum, mg/l 450 4 5 0 4 5 0 5 0 0 5 0 0 5 0 0 Q Lime , mg/ l 4 5 0 4 5 0 4 5 0 S O O .S O O 8 0 0 Z
0 Primary c·larifier � DP , h 3 . 2 4 . 6 2 4 . 7 0 4 . 6 0 4 . 5 1 5 . 64 - 6 . 2 8
SOR, m3 /m2 . d 2 2 . 6 3 1 5 . 5 8 15 . 34 1 5 . 6 6 15 . 9 8 11 . 4 6 - 1 2 . 7 7 <: WLR, m3 /m . d 84 . 9 5 8 . 4 1 57 . 51 5 S . 74 5 9 . 91 42 . 9 9 - 4 7 . 93 0 r
IJ\ Chemical .t ,:eatment
00
(Removal 'e ffic�ency) C BODr , Per' cent 2 5 . 0 14 . 7 - 1 8 . 5 2 5 . 9 - 3 5 . 7 54 . 2 - 6 0 . 8 5 5 . 9 - 6 1 . 9 55 . 8 - 6 2 . 0 � SSr ' Per cent 7 9 . 5 6 5 . 3 - 72 . 4 73 . 6 - 7 9 . 5 8 3 . 5 - 8 7 . 6 84 . 5 - 8 9 . 3 84 . 8 - 8 9 . 4 -
\0 CODr , Per cent 3 5 . 5 - 3 7 . 4 4 7 . 4 - 5 6 . 9 6 7 . 2 - 71 . 4 6 9 . 5 - 72 . 7 6 9 . 6 - 72 . 9 \0 \0
Extended aeration 'system
DP , d 1 . 2 6 1 . 8 3 1 . 8 6 1. . 8 2 1 . 7 9 2 . 2 3 - 2 . 4 9 F/M Ratio d 0 . 1 5 0 0 . 04 4 0 . 04 1 0 . 02 5 . 0 . 052 0 . 02 0 - 0 . 0 2 8
OLR , kgBOD/l!'3 . d 0 . 792 0 . 13 3 0 . 1 1 9 0 . 06 5 0 . 12 9 ·· 0 . 0 56 - 0 . 0 8 3
MLSS , mg/I 4 0 0 0 3 9 8 8 3 8 4 0 3 9 8 0 3264 3 5 0 0 - 3 86 6 MLVSS , mgll 3 2 0 0 3 0 3 4 2 9 0 8 2 5 96 2498 2 7 4 7 - 3 1 0 0
MLVSS/MLSS 0 . 8 0 0 . 76 0 . 7 6 0 . 6 5 0 . 7 7 0 . 7 8 - 0 . 8 0 02 Reqd . , kg/d 7980 1340 1176 655 1 3 0 0 5 5 9 - 8 3 2
Aerators 120 104 . 1 0 103 . 6 0 1 04 . 2 0 102 . 5 0 102 . 6 - 1 0 3 . 5
Capacity, HP (provided) ( actual ) (actual ) (actual ) ( actual) ( actua l )
Contd . . . . . .
\
Table 20 Contd . . . . . .
Secondary clarifier DP , h SOR, m3 jm2 . d WLR , m3 jm . d SLR , kgjm2 . d
Biologica:t, treatment (Removal e'fficiency)
2 . 6 5 2 2 . 6 84 . 9 9 0 . 5 1
BODr , Per cent 9 0 SSr ' Per cent 5 0 CODr , Per cent
¥
4 . 7 8 �2 . 54 4 7 . 0 3 6 2 . 14
8 5 . 8 - 8 8 . 2 5 5 . 9 - 6 5 . 7 57 . 8 - 6 � . 0
�
4 . 98 4 . 7 8 12 . 5 5 �2 . 5 6 4 5 . 16 4 7 . 10 5 8 . 9 62 . 3
8 5 . 1 - 8 9 . 7 6 9 . 5 - 73 . 9 6 2 . 0 - 6 9 . 9 4 8 . 8 - 5 5 . 8 5 8 . 0 - 6 2 . 3 . . 4 2 . 9 - 4 9 . 8
DP - detention period; SOR - surface overf�ow rate ; WLR - weir loading rate ; OLR - organic loading rate ; SLR - solids loading rate
4 . 6 9 �2 . 8 0 4 7 . 03 52 . 1
8 7 . 6 - 8 9 . 4 6 8 . 8 - 72 . 0 5 9 . 4 - 6 8 . 3
.I,
5 . 6 9 - 6 . 4 6 9 . 2 8 - 1 0 , 54 3 7 . 04 - 3 9 . 52 3 1 . 4 8 - 3 2 . 6 7
8 6 . 2 - 93 . 5 6 8 . 7 - 72 . 4 6 0 . 6 - 6 7 . 3
z > Z o -<
�
�
� en -l tTl � � tTl '" ::: > z > C') tTl ::: tTl Z -l -Z
� Z Z tTl '" ti1 en
VI o \C)
5 1 0 J SCI IND RES VOL 5 8 JULY 1 999
Table 21 - Energy consumption at various stages of treatment
Treatment stages
Primary and Phys ico - chemical Treatment *
AIiaerobic Treatment * *
Aerobic Treatment#
Tert iary Physico� chemical Treatment##
Energy consumption (EC) kw
.
6 8 . 62
1 1 0 . 56
19 8 . 5 8 ·
2 1 5 . 2 3
EC kwhlm3 of wastewater t reated@
0 . 72 9 - 0 . 8 1 3
1 . 1 7 5 - 1 . 3 1 0
2 . 1 1 1 - 2 . 3 54
2 . 2 8 8 - 2 . 5 5 1
* Mechanical Screening + Equalizat ion + Physico- chemical Treatment
* * Mechanical Screening + Equalizat ion + Physico- chemical Treatment + Anaerobic Treatment + Preaeration
# Mechanical Screening + Equalizat ion + Physico- chemical Treatment + Anaerobic Treatment + �reaeration + Extended Aeration System
## Mechanical Screening + Equali zat ion + Physico- chemical Treatment .+ Anaerobic Treatment + Preaerat ion + Extended Aerat ion System + Physico- chemical Treatment
@ Flo.w range 2 0 25 . 6 - 22 5 8 . 2 m3 /d .
Design .
I - 2 . 4m
NANDY et al. : WASTEWATER MANAGEMENT IN TANNERIES
Total No . of furrows ( 1 0 0m./ l
4 1
Table 22- Wastewater loading schedule
Recommended loading for 2 0 m furrow l ength/d
1/ 5th of full loading rate weekly once upto 3 months
2 9 2 1
Full loading'"
1464 1
I I - i . 5m 66 180 1 9 1 0 1 ·
I I I - 6 . 0m 1 6 7 5 0 1 3 7 5 0 1
... Ful l loading . i s recommended after 3 months of plantation
Table 23-- Concentration of heavy metals in sludges from CETP
Parameters
Chromium · as Cr
Z:inc as Zn
Lead as Ph
Cadmium as Cd
Nickel as Ni
Manganese as Mn
Iron as Fe
Copper as Cu
Chemical ·s ludge (mg/kg)
2 4 7 6 - 2 854
4 . 6 - 6 . 6
3 . 8 -4 . 2
BDL
BDL
2 0 - 2 8
2 5 9 - 3 04
BDL
BDL - Below detectable l imit
B�r logical ·s ludge (mg/kg) . .
2 7 - 3 2
2 . 2 - 4 . 5
18 . 8 - 24 . 4
�DL
BDL
2 . 5 - 5 . 0
3 5 - 4 ?
BDL
5 1 1
5 1 2 J SCI IND RES VOL 58 JULY 1999
Table 24- Problems associated with various units in CETP, and probable causes
Observations
Improper equali zat ion of wastewater flow anQ characteri stics in equalizat ion basin
Poor performance efficiency of chemical treatment system
Sol ids escaping from primary clarifier
Performance of anaerobic lagoon not as per design
Low DO concentration in the eff luent f rom pre - aerat ion tank
Performance of extended aerat ion system decl ining during third round of monitoring
Sludge drying beds ful l
Probable Causes
- Irregular pumping schedule from rece iving sump to equali zation basin
- Poor mixing in equa l i z ation basin
- Regular dosing not be ing pract ised
- Chemical coagulants dosing not opt imi zed
S ludge pump capac ity inadequate
- Irregular pumping schedule
- Proper seeding of the lagoon has not been done
- Sludge accumulation at the bottom of lagoon
- Lagoon functioning as sett l ing tank due to higher detention period
All five aerators not operational
- Capacity of aerators inadequate
- System works as a facultative pond
- No sludge wastage pract iced Higher SRT maintained in
.
aeration tank - Fall in oxygen uptake rate
, indicat ing low concentration of act ive biomass (MLVSS)
- Low sludge sett leab i l ity - High concentration of
mineral ised s ludge in aeration tank
- Regular removal of dried s ludge not practiced
- Number of s ludge drying beds insufficient
- Sludge drying period of 10 days considered · in design whereas actual ( at field condit ions) drying period required was 20 days
- Sludge thickener and centri fuge not operated regularly
',. Al l BOL .. + (I
# .. .. ( + ) ++ ( ++ )
NANDY e t al. ; WASTEWATER MANAGEMENT IN TAN NERIES
Table 25 - Comparison of final treated effluent characteristics as monitored during various storages of investigations
concentrations as monitored Standards " " Parameter
Before upgradation After upgradation
Colour , , Pt - Co pH Temp . , OC , Alka l inity � .IJ2.'2 � llQI2 Sulphates Sulphides Chlorides Ammonical N Kj eldahl N Nitrate If Nitrite N . Phosphates
Phenols Oil & Grease Chromium
Range *
1 9 0 - 2 3 0 6 . 1 - 6 . 9
2 5 - 2 8 1 0 0 - 1 3 0
8 � -.l.li. 14308-15685 ,
244 -� 2 4 -ll
5 1 0 - 5 5 0 1 . 4 - 2 . 1
4178-5292 2 0 - 3 5 3 0 - 4 6
7 . 9 -1..!....§ BOL
2 . 0 - 4 . 6
BOL 3 . 9 - 4 . 9
0 . 6 53 - 0 . 692
Average+
2 0 5
1 1 2 9 5
� .lJlQ
2 9 5 2 5 1 . '6
iTIQ 2 5 3 5
9 . 6 BOL 3 . 1
BOL 4 . 0
0 . 6 7 0
Range8
8 0 - 1 15 7 . 7 - 8 . 9
2 9 - 3 2 1 1 5 - 275
3 8 - 4 5 9076-10575
9 6 -173 2 - 7
4 2 0 - 4 6 3 BOL
4513-4823 0 . 1 - 2 . 1 0 . 2'- 3 . 0 8 . 0 - 9 . 4
BOL 1 . 8 -3 . 0
BOL 2 . 5 ": 3 . 4
0 . 1 5 1 - 0 . 1 6 8
values except colour , pH , and temperature are in mg/T . - Below detectable l imits
Average#
95
1 7 0 4 0
.2li.Q. 124
4 4 4 8 BOL
� 1 . 2 , 1 . 7 8 . 4 BOL 1 . 9
BOL 3 . 0
0 . 13 6
MEF
( + ) 5 . 5 - 9 . 0
+ +
l.QQ
� l.Q.
2 . 0
5 0 1 0 0
l..Q.
1 . 0 1 0
2 . 0
Hourly samples collected and composited for 6 h over a period of 24 h Hourly samples collected and composited for 24, h Hourly samples collected and composited for 4. h . 6 h , a h , 1 2 h, 1 8h, and 24 h Ho�rly samples collected and compos ited for 4 h" , 8 h , and 24 h Standards for inland surface water discharge Removal to the extent possible Should not exceed SoC above the receiving water temperature 4 00C at the point of discharge
TNPCB
5 . 5 - 9 . 0 ( + + )
l.QQ nQQ
� l.Q.
1 0 0 0 2 . 0
lJ2j1Q 5 0
1 0 0
1 . 0 1 0
2 . 0
5 1 3
5 1 4 j SCI IND RES VOL 5 8 JULY 1 999
Table 26 : Details of oommon effluent treatment plants (CETPs) under operation in the State of Tamil Nadu f
Location of CETP No. of tannery units HideslSkins Design flow (m3/d) Unit processes and operations of CETP associated with CETP processing capacity
(Kg'd) SIDCO. Industrial Estate. Total : 87 Screen+Equalization basin+FIash mixer+Primary Ranipet. NM Connected : 87 83000 2500 clarifier+Aeration tanks 1&II+Secondary
clarifier+Sludge drying beds MeMsharam Sector. Total : 36 Screen+Equalization basin+Flash Ranipet. NM Connected : 19 82450 3400 mixer+CIarifiocculator+Aeration tanks
1&II+Secondary ctarifier+PoIishing pond+Sludge thickener+ Sludge drying beds
Thuthipet Sector. Ambur. Total : 44 Screen+Equalization basin+FIash NM Connected : 41 85000 2219 mixer+CIarifiocculator+Preaeration tank +
Oxidation ditches (4 Nos.)+Secondary darifier+ Sludge drying beds
Valayambattu. Total : 1 10 Screen+Equalization basin+Flash mixer+Primary Vaniyambadi.NM Connected : 1 10 83600 3120 clarifier+Anaerobic lagoon + Aeration tanks
1&II+Secondary clarifier+ Sludge drying beds Udayendiram. Total : 10 Screen+Grit chamber+Equalization basin+Flash Vaniyambadi.NM Connected : 10 8000 200 mixer+Static flocculator+ Primary darifier+Aeration
tank+ Secondary darifier+ Sludge drying beds
Bakkalpalli. Pemambut. Total : 18 Screen+Equalization basin+Flash NM Connected : 16 30000 890 mixer+CIarifiocculator+Preaeration tanks
Proposed : 2 1&II+Aeration tank+Secondary darifier+ sludge drying beds
Contd.
PammaJ-Pailavaram. Total : 138 Screen+Grit chamber+Equalization basin+Rash Chrompet Area Chengai Connected : 100 100000 3000 Mxer+CIarifioculator+Aeration tank+ Secondary � MGR Proposed : 38 ctarifier+Sludge thickener+ Sludge drying beds Dindigul. Total : 36 Screen+Grit chamber+Equalization basin+Rash Dindigul Connected : 36 124000 2500 mixer+Flocculation tank+Primary clarifier+
Anaerobic Lagoon+Aeration tank+Secondary ctarifier+ Sludge drying beds
Madhavaram. Chengai Total : 14 9500 800 Screen+Equalization cum Mxing Basin+ Primary MGR Connected : 1 4 clarifier+ Aeration tank+ Secondary
ctarifier+Poiishing pond+ Sludge drying beds Ramji Nagar. Total : 5 15000 525 Presettiing Tank+Equalization basin+Dissolved air Trichy Connected : 5 flotation Unit 1+ Aeration tank+Dissolved air
flotation Unit 11+ Sludge drying beds
.( ..J.. -.I
Table 27 - Characteristics of treated effluent from CETPs in Tamil N adu
Parameters Location of C ET Ps·
2 3 4 5 6
pH 7.5-8.4 7.6-7.8 7 . 1 -7.4 8.0-8.2 7.6-7.8 6.5-7.0
Suspended solids 84 78 1 1 0 95 93 90
Total dissolved 4496 1 1 390 1 1 872 7200 6720 1 9650 Solids
B O D 1 5 5 1 1 0 1 9 23 22
COD 245 222 596 295 2 1 5 1 40
Sulphates 839 1 8 952 950 9 1 5 630
Sulphides 1 .2 B D L 2.8 B D L 1 . 1 B D L
Chlorides 986 3960 5918 2965 3740 7200
Ammoniacal 38 24 0.3 52 55 32 N itrogen
Kjeldahl nitrogen 54 40 9.2 65 7 1 46
All values are in mg/l except p H ; B D L Below Detectable Limits
. 1 S I D C O Industrial Estate, North Arcot Am bedkar (NAA)
2 Melvishararm Sector, Ranipet, N AA
3 Thuthipet Sector, Ambur, N AA
4 Valayambattu, Vaniyambadi, N AA
5 Udayendiram , Vaniyambadi, N AA
6 Bakkalapalli , P e rnambut, N AA
7 Pam m al Pallavaram , Chrompet Area, Chengai M G R
8 Dindigul, Dindig u l Anna
9 Madhavaram, Chengai M G R
1 0 Ramji Nagar, Trichy
7 8 9 1 0
7 . 1 -7.2 7.5-7.8 7.6-7.8 7.3-7.5
2 1 6 92 68 70
5564 1 9042 4026 8440
28 24 8 5
248 1 360 1 46 1 44
2400 995 2460 8
1 .7 1 .8 B D L B D L
1 836 1 0700 1 1 78 31 20
25 45 4 1 2
37 60 6 22
.(
Standards for inland s u rface water discharge
M E F T N P C B
5.5-9.0 5.5-9.0
1 00 1 00
2 1 00
30 30
250 250
1 000
2 2
1 000
50 50
1 00 1 00
Z ;l> Z 0 -< � �
� en -l tTl � � tTl ::0 � ;l> Z ;l> 0 tTl � tTl Z -l ..... Z
� Z Z tTl ::0 tTl en
Vl Vl
5 1 6 J SCI IND RES VOL 5 8 JULY 1999
References
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2 Rajamani S, Madhavakrishna W & Thyagarajan G, Environmental Impact Assessment and Effluent Management in Leather Industries, Paper presented at Natn Semin Impact Environ Protect Future Dev India, Nainital, April 6-8 ( 1 987).
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4 Kaul S N & Nandy T, Treatment of Tannery Wastewaters with recourse to Energy and Chromium Recovery, NEERI Report,
1 99 1 .
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7 Wastewater Management in Cluster of Tanneries in Tamil NaduPhase I NEERI Report, 1 997.
8 Standard Methods for Examination of Water and Wastewaters, APHA, AWWA WPCF, 17th ed. 1 989.
9 Hazardous Waste Category, MEF Notification No. 465 Gaz In
dia, Part -II, Section -3, Sub-section (ii), 1 989.
1 0 Wastewater Management in Cluster of Tanneries ill Tamil Nadu - Phase II NEERI Report, 1 997.