S. no | Parameters | Analysis methods/instruments | Standardization methods |
1 | Temperature, pH & EC | pH meter and electrical conductivity meter | Calibration standard solutions |
2 | Total dissolved solids | Benchtop meter | Calibration standard solutions |
3 | Total solids | Volumetric and gravimetric methods by oven drying | Analysis protocol: the oven was maintained at 105 to 110 °C. The crucible was preheated and dried before testing |
4 | Total suspended solids | Oven drying method/digital meter |
5 | Chemical oxygen demand | Closed reflux titrimetric method | Potassium hydrogen phthalate (KHP) stock solution with a theoretical COD value of 400 mg l |
6 | Biochemical oxygen demand | Winkler's method/5-day method | Titration of sodium thiosulfate with standard potassium iodate and Millipore water solution results in consistent and reproducible results of less than 0.05 ml |
7 | Total nitrogen | Total nitrogen analysers | Standard calibration curve |
8 | Total phosphorus | Vanadomolybdate yellow color method | Standard phosphorus stock solutions |
9 | Faecal coliform | Sample ready culture medium-coliform count plates | — |
10 | Capillary suction time (CST) | Capillary suction timer | Calibrated by the manufacturer |
|
| Methodology of the case study. | |
3. Results and discussion
3.1. questionnaire results.
FS samples | Sample set number | Type of OSS | Type of building | Dimensions of OSS | Age of FS sample | Type of sample | No. of people in the household | Remarks |
1 | 1 | Single pit | House | 0.9 m × 0.9 m × 8 m | >1 year | Yellowish liquid | 7 | Lined pit |
2 | | | | | | | FS + blackwater |
3 |
2 | 4 | Single pit | House | 4 m depth with 0.6 m diameter | 1.5 years | Yellowish liquid to slurry | 6 | Lined pit |
5 | | | | | | | FS + blackwater |
3 | 6 | Two-chamber septic tank | House | 1 m × 1.4 m × 1.8 m | 2 years | Greenish-black liquid | 5 | FS + blackwater |
7 | | | | | | | |
8 |
4 | 9 | Single pit | House | 4 m depth with 0.7 m diameter | 2 years | Yellowish-black liquid | 6 | Lined pit |
10 | | | | | | | FS + blackwater |
11 |
5 | 12 | Square | House | 3.5 m depth with 3 m × 3 m surface area | 2 years | Brownish-yellow thick slurry | 7 | Lined pit |
13 | Single pit | | | | | | FS + blackwater |
14 | |
6 | 15 | Two-chamber septic tank | House | 2 m × 1.7 m × 1.6 m | 2 years | Black liquid | 5 | FS + blackwater |
16 | | | | | | | |
17 |
7 | 18 | Single pit | House | 4 m depth with 1 m diameter | 2.5 years | Greenish black slurry | 2 | FS + blackwater |
19 | | | | | | | |
20 |
8 | 21 | Two-chamber septic tank | Hotel | 2 m × 2.7 m × 2.5 m | 3 years | Dark black liquid | 15 workers + moving population | FS + blackwater + greywater |
22 | | | | | | | |
23 |
9 | 24 | Two-chamber septic tank | Bakery | 1.5 m × 2.5 m × 2.1 m | 3 years | Light yellow liquid | 5 | FS + bakery wastewater |
25 | | | | | | | |
26 |
10 | 27 | Septic tank | House | 2 m × 3.1 m × 1.5 m | 3 years | Yellow liquid | 3 | FS + blackwater |
28 | | | | | | | |
29 |
11 | 30 | Two-chamber septic tank | Sweet shop | 2 m × 1 m ×1.8 m | 3.5 years | Yellowish-black liquid sample | 5 workers | FS + blackwater + greywater |
31 | | | | | | | |
12 | 32 | Two-chamber septic tank | House | 1.8 m × 1.6 m × 2 m | 3.5 years | Yellowish black liquid | 8 | FS + blackwater |
33 | | | | | | | |
34 |
13 | 35 | Two-chamber septic tank | Hotel | 2.1 m × 3.1 m × 1.5 m | 4 years | Light yellow liquid | 10 workers + moving population | FS + blackwater + kitchen wastewater |
36 | | | | | | | |
37 |
14 | 38 | Single pit | House | 5 m depth with 1 m diameter | 4 years | Dark green slurry | 4 | Unlined pit |
39 | | | | | | | FS + blackwater |
40 |
15 | 41 | Single pit | House | 7 m depth with 0.6 m diameter | 5 years | Dark yellowish-brown slurry | 6 | Unlined pit |
42 | | | | | | | FS + blackwater |
43 |
16 | 44 | Two-chamber septic tank | Complex shops | 2.2 m × 3.1 m × 2 m | 6 years | Dark brown slurry | 5 | FS + blackwater |
45 | | | | | | | |
46 |
17 | 47 | Two-chamber septic tank | Shop | 2.1 m × 1.8 m × 1.9 m | 6 years | Yellowish black slurry | — | FS + blackwater + greywater |
48 | | | | | | | |
49 |
18 | 50 | Single pit | House | 4.5 m depth with 0.8 m diameter | 6 years | Greenish slurry | 4 | FS + blackwater |
51 | | | | | | | |
52 |
19 | 53 | Single pit | House | 7 m depth with 0.8 m diameter | 7 years | Yellowish brown slurry | 5 | Unlined pit |
54 | | | | | | | FS + blackwater |
55 |
20 | 56 | Composite sample | — | — | Composite sample of 7 years and 1 year | Greenish yellow slurry | — | FS + blackwater + greywater |
57 | | | | | | | |
58 |
21 | 59 | Single chamber septic tank | House | 1.5 m × 1.5 m × 1 m | 8 years | Dark green slurry | 6 | Unlined tank |
60 | | | | | | | FS + blackwater |
61 |
22 | 62 | Single chamber septic tank | House | 1.8 m × 1.5 m × 1.2 m | 8 years | Greenish black slurry | 8 | FS + blackwater |
63 | | | | | | | |
64 |
23 | 65 | Composite sample | — | — | Composite samples of 9 years and 1 year | Greenish-yellow slurry | — | FS + blackwater |
66 | | | | | | | |
67 |
24 | 68 | Single pit | House | 5 m depth with 0.9 m diameter | 9 years | Dark blackish slurry | 7 | FS + blackwater |
69 | | | | | | | |
70 |
25 | 71 | Single pit | House | 10 m depth with 0.8 m diameter | 10 years | Greenish-yellow slurry | 4 | Unlined pit |
72 | | | | | | | FS + blackwater |
73 |
26 | 74 | Single pit | House | 6 m depth with 1 m diameter | 10 years | Dark greenish colour, thick slurry | 9 | Unlined pit |
75 | | | | | | | FS + blackwater |
76 |
27 | 77 | Composite sample | — | — | Composite samples of 11 years and 8 years | Greenish-black slurry | — | FS + blackwater + greywater |
78 | | | | | | | |
79 |
28 | 80 | Two-chamber septic tank | House | 2.2 m × 1.8 m × 1.5 m | 12 years | Brownish black liquid | 10 | FS + blackwater |
81 | | | | | | | |
82 |
29 | 83 | Two-chamber septic tank | House | 2.6 m × 2.6 m × 2 m | 13 years | Yellowish-brown slurry | 3 | FS + blackwater |
84 | | | | | | | |
30 | 85 | Single pit | House | 12.1 m depth with 0.7 m diameter | 16 years | Dark black slurry | 4 | Unlined pit |
86 | | | | | | | FS + blackwater |
3.2. Physical examination of faecal sludge samples
|
| Stages of FS decomposition (by physical examination interpretation). | |
3.3. Temperature, pH, and electrical conductivity
|
| Temperature, pH, and EC of FS samples collected from Pilani, Rajasthan. | |
3.4. Total solids
|
| TS, TSS, and TDS of FS samples collected from Pilani, Rajasthan. | |
|
| EC–TDS correlation of FS samples collected from Pilani, Rajasthan. | |
3.5. Chemical oxygen demand (COD) and biochemical oxygen demand (BOD)
|
| COD, COD & TS correlation and BOD/COD ratio of FS samples from Pilani, Rajasthan. | |
|
| COD & TS correlation of FS samples from Pilani, Rajasthan. | |
|
| COD & BOD correlation of FS samples from Pilani, Rajasthan. | |
3.6. Faecal coliform
|
| Faecal coliform count, TN concentration, and TP concentration in FS samples from Pilani, Rajasthan. | |
3.7. Total nitrogen
3.8. total phosphorus, 3.9. capillary suction time (cst).
|
| CST apparatus and CST values measured for FS samples from Pilani, Rajasthan. | |
4. FS treatment options
|
| FS treatment methodology. | |
4.1. Site-specific FS treatment system
Settling and Imhoff tanks are other types of dewatering techniques in which FS treatment starts by separating solid FS and liquid parts using settling and thickening tanks. In Imhoff tanks, the mechanism involved is anaerobic digestion and settling; these principles combine to treat FS. 31 Mechanical dewatering consists of a belt filter press, screw press, and centrifuge. This equipment removes water from sludge and produces a thick, dried sludge cake. The removal efficiencies and loading rates of various dewatering techniques available from the literature are given in Table 3 .
Dewatering methodology | Sludge loading rate | Removal efficiency |
Belt filter press | 218–272 kg TS h m | 80–90% TS removal |
Unplanted drying beds | 196 to 321 kg TS m y | 80% TS, 69% COD and 76% BOD removal |
Settling tank | 0.16 m m | 60–70% of TSS removal |
Planted drying bed | 300 kg TS m y | 90% BOD and 77% COD removal |
In the Pilani context, a semi-urban, arid tier-III town, an effective dewatering method can be a drying bed. Mechanical dewatering involves the establishment of high-cost equipment along with power motors to dewater the sludge, which cannot be suitable for the Pilani context because of more initial investments. Operation and maintenance costs will also be high due to the high electricity requirement and skillful labor. Settling and thickening tanks require an initial construction cost and more land, which is unsuitable for dense tier-III towns. Pilani is an arid region where the maximum temperature can reach around 45–48 °C, so drying beds can be a viable and sustainable option for dewatering in Pilani because more sunny days can increase the efficiency of drying beds. Also, planted/unplanted drying beds involve direct dumping of FS on the top surface, so electricity and motors are not required for the functioning of drying beds, which indicates less operation and maintenance cost.
In Pilani's local context, composting can be a viable option since it is a cheaper and more efficient method. Agriculture is a significant occupation in the local context of most tier-III Indian towns, so producing manure from FS makes a sustainable FSM model.
The treatment system suggested based on the characterization of FS for treating FS in the local context of Pilani and other tier-III towns can be hybridization of a drying bed, composting, and coagulation, as shown in Fig. 15 . A zero FS discharge model can be achieved in which treated FS can be used as manure and treated leachate can be used for domestic water consumption. Zero waste discharge can make the FSM service chain safe and sustainable.
|
| Suggested line of treatment for FS in this case study. | |
S. no | Parameters | Minimum | Maximum | Lower quartile | Upper quartile | Median | Mean | Standard deviation |
1 | Temperature (°C) | 20.6 | 27.5 | 22.425 | 26 | 24.1 | 24.15 | 1.916 |
2 | pH | 4.64 | 7.93 | 7.352 | 7.737 | 7.54 | 7.316 | 0.702 |
3 | EC (mS cm ) | 1.857 | 6.315 | 3.696 | 4.915 | 4.346 | 4.305 | 1.064 |
4 | Total solids (mg l ) | 3430 | 95 | 18 | 66 | 34 | 42 | 27 |
5 | TSS (mg l ) | 1098 | 90 | 16 | 62 | 30 | 38 | 26 |
6 | TDS (mg l ) | 1773 | 6807 | 3432.5 | 4767 | 4100.5 | 4111.25 | 1154.66 |
7 | COD (mg l ) | 4406 | 160 | 20 | 96 | 44 | 58 | 42 |
8 | BOD (mg l ) | 780 | 16 | 5550 | 12 | 7000 | 8409.886 | 4132.499 |
9 | BOD/COD | 0.0095 | 0.4375 | 0.12857 | 0.225 | 0.14586 | 0.19136 | 0.0889 |
10 | Escherichia coli (CFU ml ) | 1.2 × 10 | 1.6 × 10 | 2 × 10 | 5.5 × 10 | 9.5 × 10 | 3.24 × 10 | 4.75 × 10 |
11 | Klebsiella pneumoniae (CFU ml ) | 4.4 × 10 | 4 × 10 | 2.3 × 10 | 1.5 × 10 | 10 | 1.03 × 10 | 1.51 × 10 |
12 | Serotype enteritidis (CFU ml ) | 7 × 10 | 10 | 8 × 10 | 3 × 10 | 8 × 10 | 2.38 × 10 | 3.29 × 10 |
13 | Total nitrogen (mg l ) | 81.7 | 709.2 | 192.7 | 364.9 | 248.8 | 297.894 | 148.917 |
14 | Total phosphorus (mg l ) | 285 | 4471 | 996.7 | 1957.281 | 1362.43 | 1590.437 | 840.3370 |
15 | CST (s) | 149 | 1256.8 | 248.4 | 661.55 | 442.6 | 503.6531 | 272.0384 |
Study description | COD (mg l ) | BOD (mg l ) | Total solids (mg l ) | Faecal coliforms |
FS characteristics in Ghana | 49 | 7600 | 52 | — |
FS characteristics in Thailand | 39 | | 8240–123 | |
FS characteristics in Ghana | 201 | 56 | | 132 × 10 CFU ml |
FS (septage) characteristics in India | 960–6080 | — | 1000–123 | Total coliform of 10 –10 No L |
Septage characteristics in India | 6656 | 1896 | 17 | — |
FS characteristics in Ghana | 48 | 5280 | 55 | — |
FS characteristics in Burkina Faso | 12 | 2126 | 13 | |
This present case study of Pilani | 4406–160 | 780–16 | 3430–95 | E. coli – 3.24 × 10 CFU ml |
| | | | K. pneumoniae – 1.03 × 10 CFU ml |
S. enteritidis – 2.38 × 10 CFU ml |
5.1. Factors influencing the variations in faecal sludge characteristics
From the ANOVA test, it is also observed that COD and total solids also vary based on the OSS type with p -values of 0.044 and 0.002, respectively, indicating that the OSS type significantly affects the FS characteristics. The OSS type also affects the BOD and total nitrogen, which can be observed from p -values of 0.007 and 0.016, respectively. Surprisingly, the OSS system did not affect pH, possibly due to the same anaerobic conditions observed in Pilani among all OSS. Also, the BOD/COD ratio was not affected by the OSS type, which suggests that, irrespective of the OSS type, as the age of the FS increases, the BOD/COD ratio tends to decrease because of the less biodegradable organic matter due to mineralization. Greywater inclusion into the OSS also affects the FS characteristics, mainly because FS dilution reduces the total solids ( p = 0.011). It is observed that the pH value was also affected due to the inclusion of greywater because of the mixing of acidic kitchen wastewater with the OSS ( p < 0.01). In assessing differences in FS characteristic parameters with independent variables, the FS age, OSS type, and greywater content of FS significantly affected at least some of the FS characteristic parameters, as shown in Table 6 of p -values from the one-way ANOVA test. The statistically significant p -values ( p < 0.05) are highlighted in bold.
Variables compared | pH | Temperature | TS | COD | BOD | BOD/COD | TN | CST | EC | TP |
Age of FS (1–16 years) | <0.001 | 0.002 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 | <0.001 |
Type of OSS system (septic tank vs. single-pit) | 0.458 | 0.001 | 0.002 | 0.044 | 0.007 | 0.844 | 0.016 | 0.624 | 0.699 | 0.963 |
Grey water inclusion (with or without greywater) | <0.001 | 0.406 | 0.011 | 0.223 | 0.045 | 0.517 | 0.033 | 0.064 | 0.554 | 0.097 |
6. Discussions and suggestions
6.1. fs age, 6.2. type of oss containment, 6.3. water input to oss, 6.4. addition of water during emptying, 6.5. other factors, 6.6. socio-economic aspects, 6.7. suggestions specific to the study area, 6.8. challenges associated with recommendations, 6.9. role of faecal sludge management in achieving sdg6.
|
| Contribution of FSM to SDG6: clean water and sanitation. | |
7. Limitations of the study
8. conclusion, disclosures and declarations, ethics approval and consent to participate, availability of data and material, disclosure statement, data availability, author contributions, conflicts of interest, acknowledgements.
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Request PDF | Comprehensive assessment of current municipal solid waste management in Chennai, India: a critical case study with real-time analysis | Chennai city has implemented numerous ...
This case study presents a system of popular participation in ... Solid Waste Management in Chennai Chennai rose from small and scattered fishing villages to the fourth largest metropolitan city in India with an area about 1170 sq. km and a population of 4.6 million in 2011. It is divided into 15 zones and 200 wards.
Chennai city has implemented numerous strategies and plans to effectively manage the municipal solid waste by the municipal corporation. One of the prime strategy is the establishment of public-private partnership schemes, which play a crucial role in enhancing waste management practices. This case study focus to assess the conservancy operations carried out by multiple stakeholders in order ...
A Survey of Solid Waste Management in Chennai (A Case Study of Around Koyambedu Market and Madhavaram Poultry Farms) February 2018 DOI: 10.17352/2455-488X.000020
In 2016, Chennai saw some of the worst floods in its history, and clearing 145,000 tons of waste from the streets after the waters subsided highlighted the extent of the city's rubbish problem. Chennai's new waste management strategy aims to reduce the buildup of waste and realize some of the potential value. The Solution
vv Journal of Civil Engineering and Environmental Sciences ISSN: 2455-488X CC By 009 Engineering Group Citation: Rakkini VM, Vincent S (2018) A Survey of Solid Waste Management in Chennai (A Case Study of Around Koyambedu Market and Madhavaram Poultry Farms). J Civil Eng Environ Sci 4(1): 009-0012.
Integrated Approach to Solid Waste Management in Chennai: Large Cities in India". This article highlighted ... on solid waste management in Chennai (a case study around Koyambedu market and Madhavaram poultry farm)", rotten vegetables and fruits were reported as waste by 55 people. 51 respondents discarded 30 kg of vegetable and
Integrated approach to solid waste management in Chennai: ... Centre for Environmental Studies, Anna University, Chennai 600 025, India e-mail: [email protected] 123 J Mater Cycles Waste Manag (2012) 14:75-84 DOI 10.1007/s10163-012-0046-. environmentally sound solutions for the longest practical
The study showed that the solid waste management in terms of five aspects, namely: 1) the operational technical infrastructure still needs improvement from provide place in the source of garbage ...
2016 (21-1-4) Solid Waste Management in Chennai: Lessons from Exnora. Download. File Type: pdf. Categories: Case Studies.
8.10 The ERM study of 1996 had recommended solid waste management coverage in the City to be increased from 90% (1996-2000) to 100% (2001-2005). In respect of municipalities from 50% (1996-2000) to 70% (2001-2006) and 100% (2005-2011). In respect of Town Panchayat it was to be 10%, 30% and 70% respectively.
NPC (2005) Upgradation Plan for Existing Dumpsites at Perungudi and Kodungaiyur (Chennai), National Productivity Council report for Corporation of Chennai. Srinivasan K. (2005) Public, Private and Voluntary Agencies in Solid Waste Management: A case study in Chennai city. Master degree thesis submitted to Tata Institute of social sciences, India.
Today scenario improper solid waste management causes pollution and health risk, which is main concerning environmental management in developing countries. In most cities, the use of open dumps is common for the disposal of wastes, resulting in soil and water resource contamination. The research paper surveys the current household Solid Waste Management (SWM) with reference of residents around ...
World Bank's Role and Study. It is planned that the World Bank will improve the city's solid waste management methods over the next 20 years, not just in Chennai but all over the state. A big part of this project is a full study that will look at how garbage is currently handled and come up with ideas for how the city's waste management ...
The well managed successful waste management programme increases the health and environmental quality of the country. This survey examines the status of... Skip to main content. We're fighting to restore access to 500,000+ books in court this week. Join us! A line drawing of the Internet Archive headquarters building façade. ...
9.02 Chennai Corporation is the responsible agency for solid waste management in the City Corporation area. Chennai Corporation area is divided into 10 zones and each zone is further sub-divided into about 15 Divisions totaling to 155 Divisions. Conservancy responsibility has been delegated to Zonal officials in City Corporation.
2022, ijetrm journal. Solid waste is the useless, unwanted and discarded material resulting from day-today activities in the community. Solid waste management may be defined as the discipline associated with the control of generation, storage, collection, transfer, processing and disposal of solid waste. The present paper is based on the study ...
Using the Solid Waste Management Program of Holy Spirit, a neighborhood of Quezon City and the larger Metro Manila area, as a case study, this research aims to further the development of efficient ...
Municipal solid waste generation rate is over-riding the population growth rate in all mega-cities in India. Greenhouse gas emission inventory from landfills of Chennai has been generated by measuring the site specific emission factors in conjunction with relevant activity data as well as using the IPCC methodologies for CH 4 inventory preparation. In Chennai, emission flux ranged from 1.0 to ...
Municipal solid waste generation rate is over-riding the population growth rate in all mega-cities in India. ... a case study of Chennai landfill sites ... and 12.3 to 964.4mg CO2m(-2)h(-1) at Perungudi. CH4 emission estimates were found to be about 0.12Gg in Chennai from municipal solid waste management for the year 2000 which is lower than ...
Solid Waste Management, Greater Chennai Corporation. Community in Chennai takes baby steps towards a giant goal. A small group makes a big difference. Just a clutch of residents, we are doing ...
A study in Chennai, India 12 found that the total solid content of FS is 1.6 times more in the winter than in the summer. The cleaning frequency of OSS is influenced by demographic factors like population density, household size, socioeconomic status, and urbanization levels, which affect the volume of FS generated and the size of the OSS system.
1. Introduction. Increasing population, thriving economy, urbanization, and growing living standards increase Municipal Solid Waste (MSW) generation in developing countries [].The inadequate management of MSW has emerged as a significant concern for the governments of several Asian and African nations [].In developed countries, waste management is rigorously adhered to by established rules ...