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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This technology licensed to M/s Innovative Engitech (P) Ltd, pertains to development of an objective evaluation system of piling, using image processing techniques. A continuous scene of pilled 416. fabric sample is converted to digital image and stored in a memory by the image acquisition element.
successful technology transfer - through formal technical collaboration as well as through trade in equipment and raw materials embodying technology. This is based on an analysis of six case study firms. The next section reviews the existing literature of technology transfer and its links 147 A. Banik et al., Foreign Capital Inflows to China ...
This paper presents a case study of an Indian higher technical institution to show how to develop effective technology transfer process to transfer technologies to industry. The case analysis clearly supports the critical role played by an intellectual property management system in enhancing the effectiveness of the technology transfer.
The case study approach was selected as the methodology for this research that investigated a contemporary live phenomenon (TT processes in a higher technical institution from India). The case study approach facilitated deriving a broader applicability to review both intra and interorganizational interactions and relations towards TT.23 IIT ...
Industry in India-A Case study of IIT Bombay. ... (2010). Utilising patent portf olios for effective technology transfer A case learning in IIT Bom-bay. 31-37. Retreived April 4, 2021, from, ...
Patenting and technology commercialization activities are rapidly gaining momentum in Indian academia. Currently, there is paucity of data suggesting technology commercialization activities among Indian academia. This study aims to examine issues regarding technology commercialization among Indian academics. The objectives of this study are to (1) understand the policy implications of ...
Technology Transfer from Higher Technical Institutions to the Industry in India - A Case study of IIT Bombay @inproceedings{Arumugam2012TechnologyTF, title={Technology Transfer from Higher Technical Institutions to the Industry in India - A Case study of IIT Bombay}, author={Arumugam and Karuna Jain and Shailesh J. Mehta}, year={2012}, url ...
The paper touches upon the global perspective of technology transfer process from technical universities and academic institutions. The role of FITT (Foundation for Innovation and Technology Transfer), the technology transfer office of IIT, Delhi, is described. The different components of technology transfer process, some successful case studies from the institute are described. With ...
This study aims to exam-ine issues regarding technology commercialization among Indian academics. The objectives of this study are to (1) understand the policy implications of university-industry technology transfer and (2) propose a conceptual model for technology transfer suitable for Indian scenario. The data included for our analysis is drawn
It reflects our commitment to providing cutting-edge technology and expertise, helping Tata Electronics create a state-of-the-art facility that will catalyze India's semiconductor landscape.
Tata Electronics on Thursday said it has completed the Definitive Agreement with Powerchip Semiconductor Manufacturing Corporation (PSMC) wherein the Taiwanese major will provide design and construction support to build India's first AI-enabled greenfield fab in Gujarat. In addition, PSMC will license a broad portfolio of technologies and provide engineering support to successfully transfer ...
This paper discusses various successful strategies and technology transfer models between industry and academia in developed nations as well as a few important success factors. It also provides an insight on evolution of technology transfer practices (governing Acts and legislation) and current status of technology transfer in India.",
The non traditional roles like technology transfer have been evaluated only through comparative case studies. This research fills the gap by giving an overview of the Indian scene and proposes theoretical models to understand them. ... Discussion and Conclusion From the review of technology transfer in India, it emerges that India has a strong ...
A Case Study of the Pharmaceutical Industry in India Biswajit Dhar and C. Niranjan Rao, with inputs by Veena Gupta United Nations New York and Geneva 2002 . Transfer of Technology Note This paper is part of the series of case studies on Transfer of Technology for Successful Integration into the Global Economy carried out by the Investment ...
NEC-India started out as an OEM of products, mostly from NEC-Japan and NEC-Singapore, supplied to master system integrators (MSI) in India. In Case A (2017 - 2020), NEC-India responds to HQ's mandate to focus more on creating value for Indian customers by aligning its technology and assets with local needs by becoming an MSI.
The Indian R&D system is defi The different modes of transmission of technology sectors4. cient in the following. technology across various domains in At present, India spends 1% of its 1. Minimal private sector involvement clude publications, conferences, consul GDP on research, which is 3.7% of in R&D support programmes. 2.
110067,INDIA. Email: [email protected] ; [email protected] . FDI, Technology Transfer and Spillover —A Case Study of India. One of the major changes in the international arena in the last ...
EU SMEs interested in venturing the Indian market by way of technology transfer arrangement must ensure drawing up a clear and unambiguous contract. Files. 21 OCTOBER 2022. Case Study: Technology Transfer in India. English (383.9 KB - HTML) Download. Share this page IP Helpdesk. This site is managed by:
This study for India shows that this technology transfer is more likely to be achieved by the presence of foreign firms rather than by simple purchase of foreign technology. ... "undated". "FDI, Technology Transfer and Spillover —A Case Study of India," Centre for International Trade and Development, Jawaharlal Nehru University, New Delhi ...
In recent years, there is a great emphasis on transferring inventions and technologies originating from academia to industry through technology transfer/licensing or commercialization. The efforts of the Government of India (GOI) aim to create socially useful innovation through university-industry technology transfer. The objective of the study is to examine and understand enabling factors and ...
In June 2021 the World Health Organization (WHO) and the Medicines Patent Pool (MPP) launched an mRNA technology transfer programme. With a South African consortium serving as the hub, the programme aimed to increase vaccine manufacturing capacity in low- and middle-income countries (LMICs) in view of the "vaccine apartheid" that was observed during COVID-19. Following Clarke's ...
The technology transfer case studies illustrate how patents facilitate technology transfer from R&D-conducting organisations and promote market success. The examples cover a range of economic sectors, countries and types of technology transfer. Each case study provides key takeaways for stakeholders in universities, other public research ...
OBJECTIVE. Technology Without Borders presents case studies of successful transfer of climate-friendly technology and practices. It explores the causes for success and draws the lessons learned. Key messages are presented for the fight against climate destabilisation.
Technology Transfer in Action case studies. Submitted by Efua Halm on Tue, 16/08/2022 - 13:02. From inception to market diffusion to commercialization: Technology transfer is a collaborative process that supports the flow of scientific findings, knowledge, and intellectual property (IP) from creators to public and private users.
INTRODUCTION. Technology Transfer (also called Transfer of Technology (TOT) and Technology Commercialization) 1 are the processes by which the information or knowledge related to the technological aspects travel within the group or between the organizations or entity. Taking this to the broader scenario, give rise to International technology transfer in which the knowledge travels in between ...
"Technology-Transfer-Case Studies ... Hyder, Road traffic injuries in India: A review of the literature, Scandinavian Journal of Public Health, 2006; 34: 100-109 *Assuming 60% of 9M cases of limb injuries in RTA in 2010 **Assuming 15% of number of pts from Non RTA injuries -
This study explores why large-scale biogas plants are not widely installed in India despite the wealth of biomass resources. The methodology includes an extensive literature review and surveyed biogas experts in different sectors, such as private, public, and academic, to identify and rank key obstacles using the Analytical Hierarchy Process (AHP) and Fuzzy-AHP techniques.
A comprehensive study on the physicochemical characteristics of faecal sludge from septic tank and single pit latrine facilities in a typical semi-urban Indian town: a case study of Rajasthan, India. Harishvar Jothinathan and Ajit Pratap Singh * Civil Engineering Department, Birla Institute of Technology and Science, Pilani-333031, India.