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P-Solid Waste Mgmt Planning_Reflections from a Case Study-220212.pptx

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P-Solid Waste Mgmt Planning_Reflections from a Case Study-220212.pptx

  1. 1. Presented by: Avinash Y. Kumar Urban & Regional Planning Advisory Services, ISA Fellow 2020-21 Senior Fellow, SaciWATERs Co-Founder at Vivir Consultancy & Hashtag Per-Capita Presented at: Presented On: 9th Dec 2022 Planning for Infrastructure – An SWM Planning Case Study from the city of Devanahalli
  2. 2. 1. Methodology 2. Existing Scenario 3. Compliance with MSW Rules 4. Overall Scenario 5. Analysis of Physical characterization by weight • Rates along the inorganic waste value chain 6. Analysis of Operations • Door-to-Door Collection Route and Time mapping • Collection to Coverage Ratio 7. Analysis of Human Resource Management 8. Analysis of Market potential for inorganic segment of waste 9. Micro-pockets demarcation 10. Route selection for door to door waste collector 11. Organizing the Enabling environment along with the project approach Table of Contents
  3. 3. Methodology to Study Operations Operations • Collection Vehicle Routes • Door-to-Door Collection Routes • Coverage per worker Mapping & Characterization • Sample Selection w.r.t Income Groups • Time Consumption • Weighing of all Trucks for a day • Physical Characterization by weight
  4. 4. Physical Characterization by weight Segregation & Weighing Output Sampling Consultations: Muthukumara Swamy Solid Waste Expert and Biji Health Inspector Sample Size : 20 + 20 + 20 =60 HIG MIG LIG Over a Period of: 9 days • Sample size • its distribution over income groups • survey period Identification of wards as per the required character for the surveys Methodology to Study Operations
  5. 5. Route and Time Mapping Approach Mapping operational attributes per sanitation worker: • Time taken in total and per stop • Collection Routes • No. of stops • Total Households covered • Consumer behavior: Collection to Coverage Ratio x/y x/y x/y x/y HH covered by resp. workers Collection Routes of resp. worker Methodology to Study Operations
  6. 6. Existing Scenario
  7. 7. Routine Time Activity Door to Door Staff Push carts Auto Tippers Tractors 5:30 AM Attendance 6:30 AM Road Sweeping 1 Hour Tea- Break 7:30 AM to 9:30 AM Door to Door Collection Market Waste Commercial 1 Hour Breakfast 10:30AM Attendance & Allocation 11:00 AM to 2:00 PM Gang Work: Bush Cutting Picking waste from local dump- spots and transport to the dumpsite
  8. 8. Existing SWM Human Resources and Infrastructure - One Worker covers approx. 175 HH’s (56 – 255) - Total HH’s = 7000 - Workers required for door to door collection = 40 - Available door to door collectors = 21 Permanent: 16 5 Auto Tipper _ Pushcart On contract: 23 Daily wage: 8 4 Tractor Trailer 21 Door to door collector 11 Tractor loader 9 Driver 6 Others Required for door to door waste collection:
  9. 9. Compliance of MSW Rules A. Prohibition to littering Sweeping service 100% on all days Yes Litterbins provided No Arrangement of rules compliant, closed, user, friendly and easy to access community bins No community bins. Devanahalli is bin free city A. Collection and Transportation of waste Separate storage of waste at source by generators No Two bin system adopted by generators. Rule compliant, closed bins are used No Door step collection of separated waste Yes, but in mixed form Vehicles used are covered, waste within which are not visible to public, not exposed to open environment and waste do not get littered during collection and transportation No Prohibition of manual handling of waste Not done % of Secondary Collection NA Collection of Debris and Green waste on demand Yes Storage facility is attended daily before they overflow NA Multi handling of waste is avoided No, it is under practice
  10. 10. A. Processing system Decentralized processing of waste Yes, very minimal Method of Decentralized processing (compost /vermi compost / biogas) Compost Processing of biodegradable and green waste for resource No Centralized processing at landfill / Dumping site, Area, Technology used for processing No Recyclable, dry waste and debris are separately processed and only the residues are transported to final land fill site No A. Final disposal landfill site Development and use of sanitary engineered land fill site / controlled Dumping / Dumping Open dumping Sufficient area allocated for Sanitary Landfill, for 25 Years No Survey, design and planning done for sanitary landfill site No Joined Centralized Landfill No A. Public awareness programs Target groups identification No No. of programs per month No Awareness programs and involvement of citizen No % of segregated Door Step Collection achieved No A. Enforcement Action taken against nuisance per month No Action taken against defaulter of separate collection and door step collection per month No Compliance of MSW Rules
  11. 11. Overall Scenario
  12. 12. Waste Streams Costs Salary Waste Stream-Source Existing management Practices ( Mid-point) End-Point HH 7.34 MT Market 1 MT Hotels 3.54 MT Organic 77% 12.58 MT Inorganic 23% 3.81 MT Meat Stalls 0.7 MT Commercial 0.43 MT Street Sweeping 0.27 MT HH 2.57 MT C&D 0.4 MT Drain Cleaning 0.14 MT Collection & Conveyance HR: 21 push-carters, 11 Truck Loaders, 9 Drivers and 6 Others Vehicles: 4 Tractors and 5 Auto Tippers Gap: 19 Workers Open Dump Irregular intake at the FSTP, Devanahalli of about 300kgs For Co-composting There is still scope for 4.24 MT per day Waste Streams
  13. 13. Analysis • Physical Characterization
  14. 14. Physical Characterization by weight Output Segregation & Weighing Sampling Methodology to Study Operations
  15. 15. Analysis Physical Characterization by weight Segregation & Weighing Sampling Output 4.87 4.34 3.71 3.46 3.38 1.57 1.53 0.61 0.54 0.49 0.30 0.28 0.10 0.06 0.04 0.03 0.00 1.00 2.00 3.00 4.00 5.00 6.00 Paper Fabric Polyethene Construction Debris Combustible (coconut/Dried Org) Packaging Hazardous (Diapers, Syringes, Meds,… HDP Bottles Glass Shoe/ Chappal Tetrapacks Metals Rubber Electronic waste Ceramics Rs.10- 24 / Kg Rs.0.75 / Kg Rs.15-17 / Kg Rs.12/ Kg
  16. 16. Physical Characterization by weight Segregation & Weighing Sampling Output i ii 1 2 3 4 5 6 7 i ii 1 2 3 4 5 6 7 i ii 1 2 3 4 5 6 7 HIG MIG LIG 0 10 20 30 40 50 60 Sum of Compostable(Wet) Sum of Combustible (coconut/Dried Org) Sum of Electronic waste Sum of Hazardous (Diapers, Syringes, Meds, Sanitary Pads) Sum of Construction Debris Sum of Rubber Sum of Ceramics Sum of Shoe/Chappal Sum of Metals Analysis
  17. 17. Analysis of Operations • Door-to-Door Collection Route and Time mapping • Collection to Coverage Ratio
  18. 18. Route and Time Mapping Outputs Anil Kumar Collection to Coverage Ratio : 0.39 Analysis
  19. 19. Route and Time Mapping Outputs Prassana Collection to Coverage Ratio : 0.33 Analysis
  20. 20. Route and Time Mapping Outputs Magesh Collection and Coverage Ratio : 0.41 Analysis
  21. 21. Route and Time Mapping Outputs Rammapa Collection to Coverage Ratio : 0.5 Analysis
  22. 22. Route and Time Mapping Outputs Chiknarayanamma Collection to Coverage Ratio : 0.77 Analysis
  23. 23. Route and Time Mapping Outputs Muniyellamma Collection to Coverage Ratio : 0.35 Analysis
  24. 24. Route and Time Mapping Outputs Shankar Collection to Coverage Ratio : 0.47 Analysis
  25. 25. Route and Time Mapping Outputs 0 1000 2000 3000 4000 5000 6000 7000 Chiknarayanamma Rammapa Prassana AnilKumar Muniyellama Magesh 56.68 62.99 92.86 146.01 231.52 301.59 Time Density HH/km Linear Density vs Time Taken Total Linear Density: No. of Households/Total Distance covered Inference: Higher the density , Lower is the Time Taken And Vice Versa. Analysis
  26. 26. Route and Time Mapping Outputs Rammappa: Ward 22 • Straightforward route with no loops • Manually segregates as much as possible • No local dump-spots • Auto Tipper keeps emptying the bins over rounds Analysis
  27. 27. Route and Time Mapping Outputs Prassana: Ward 19+20 • 5 Rounds of bin filling & emptying • 4 local dump spots, addressed by tractors in the next shift • NO auto tipper. • Keeps moving to and fro between dump spots. Analysis
  28. 28. Analysis • Human Resource Management
  29. 29. Existing Desired No. of truck loaders required 1 Time taken = 5 min. No Nuisance point Time taken = 20-30 min. Nuisance point 4 SWM Infrastructure
  30. 30. Waste collection cycle • As explained on the previous slide, all such nuisance points are marked in the map. • Time taken to clean nuisance point depends upon the quantity of waste and ranges between 10-20 min. • We have observed cases where, due to completion of working hours i.e. 2:00 PM, waste collection from the remaining nuisance point is planned to carry out on the following day. Nuisance Points
  31. 31. Analysis • Market potential for inorganic segment of waste
  32. 32. Rs. 8- 14/KG Rs. 15- 17/KG N.A. N.A. N.A. •HH •Pourokarmikas •Commercial Waste Generators •Local Scrap Dealers •Scrap Dealers in Jolly Mohalla •Shredders (Nayandahalli)* •Granule Maker (Nayandahalli)* •Plastic Goods Manufacturers (Nayandahalli)* *Prices not shared by stakeholders Rs. 6- 12/KG Rates along the Plastic waste value chain, Devanahalli
  33. 33. Rs. 9- 11/KG Rs. 12.5- 13/KG N.A. Text •HH •Pourokarmikas •Commercial Waste Generators •Local Scrap Dealers •Scrap Dealers in Jolly Mohalla •Paper Mills (Tamil Nadu)* *Contact of Paper Mills not shared by stakeholders Rs. 7- 9/KG Rates along the Plastic waste value chain, Devanahalli
  34. 34. Rs. 8- 17/KG Rs. 11- 24/KG N.A. Text •HH •Pourokarmikas •Commercial Waste Generators •Local Scrap Dealers •Scrap Dealers in Jolly Mohalla •Hindupur (Andhra Pradesh)* *Contact of Recyclers not shared by stakeholders Rs. 6- 15/KG Rates along the Plastic waste value chain, Devanahalli
  35. 35. 50-60 paise 75 paise N.A. Text •HH •Pourokarmikas •Commercial Waste Generators •Local Scrap Dealers •Scrap Dealers in Jolly Mohalla •Local distilleries or bottling plants *Contact of distilleries not shared by stakeholders 30 paise Rates along the Plastic waste value chain, Devanahalli
  36. 36. Comparison of market prices of plastic 0 5 10 15 20 25 Hard Plasticas Soft plastic Polythene High Polythene Mix Milk covers Mix Plastic Price in Rupees (Per Kilogram Type of Plastic Value of Plastic waste Average price Toter Junk cart Jolly Mahall Market Raipur Noida Indore Bhopal Aurangabad Ahmedabad Rs. 10.25/Kg Avg.Prices Rs.2.4/Kg Rs. 12/Kg Rs. 5/Kg Rs. 7.66/Kg Rs. 4.66/Kg
  37. 37. Comparison of market prices of paper 0 2 4 6 8 10 12 14 16 Books Carton Grey Board Magazines Newspaper Plain Paper Record Paper Rough Paper Soft Plastic Water/Oil Covers White Papers Price in Rupees (per Kilogram) Name of the waste material Value of Paper wastes Average price Toter Junk cart Jolly Mahall Market Raipur Noida Indore Bhopal Aurangabad Ahmedabad Rs.8/Kg Rs. 7.33 /Kg Rs.10.25/Kg Rs. 8.5/Kg Rs. 7.42/Kg Avg.Prices Rs. 6.14/Kg Rs.9.33/Kg Rs.9.12/Kg Rs.7/Kg Rs.2.4/Kg Rs.7.33/Kg
  38. 38. Comparison of market prices of metals 0 50 100 150 200 250 300 350 Aluminium Brass Copper Iron Steel Tin Price in Rupees (Per Kilogram) Name of metal Value of Metal wastes Toter Junk cart Jolly Mahall Market Raipur Noida Indore Bhopal Aurangabad Ahmedabad Rs.8.5/Kg Rs. 22.4 /Kg Rs.12.44/Kg Rs.256/Kg Rs.197.7/Kg Rs.69.4/Kg Avg.Prices
  39. 39. Comparison of market prices of containers 0 2 4 6 8 10 12 14 16 Oil tin 15ltr Oil tin 5ltr Plastic Jar 15ltr Plastic jar 5ltr Beer bottles Price in rupees (Per piece) Type of container Value of Containers Toter Junk cart Jolly Mahall Market Raipur Noida Indore Bhopal Aurangabad Ahmedabad Avg.Prices Rs.10/Kg Rs.9.5/Kg Rs.12.6/Kg Rs.5/Kg Rs.0.5/Kg
  40. 40. Comparison of market prices of miscellaneous waste 0 5 10 15 20 25 30 35 40 45 Battery E-waste Tyres Cigarette butts Mixed waste Price per Kilogram (Rupees) Name of the waste Value of Miscellaneous items Average price Toter Junk cart Jolly Mahall Market Raipur Noida Indore Bhopal Aurangabad Ahmedabad Avg.Prices Rs.30/Kg Rs.10.66/Kg Rs.3/Kg Rs.40/Kg Rs.4/Kg
  41. 41. Solid Waste Management Plan
  42. 42. Composite Plan Generation Collection Conveyance Processing Disposal/ReUSe Replacement Bins Micro-pockets Electric vehicles for gate-level collection Plan-A Plan-B 10 MT composting facility utilizing the existing potential 4 MT dry waste recovery facility formalizing the kabadiwalas 7 days: Wet waste 2 days: Dry waste 7 days: Wet waste & Dry waste
  43. 43. Composite Plan: Costs and Manpower Generation Collection Conveyance Processing Disposal/ReUSe Door to Door collectors and costs Electric vehicles Plan-A Plan-B 10 MT composting facility 4 MT Dry waste recovery facility X 18 Additional X 26 = 3.53 Lakhs Pushcarts+Bins X 7 = 15.71 Lakhs (incl. Bins) X 7 Existing 51.12 Lakhs 45 Lakhs
  44. 44. Micro-pockets demarcation SWM-Plan A Plan A
  45. 45. Micro-pockets Demarcation Criteria followed to demarcate micro- pocket (MP) • Less than 300 households in a micro pocket. Buildings with less than 20 flats are considered under 1 door. • Each micro pocket can be serviced by one major road where collection can be done using tractor or push cart • Density of households is taken into account while demarcating micro-pockets. • Each Micro pocket will be serviced by 2-3 sanitary workers depending upon the size of micro pocket, no of HH’s and Coverage of main roads in the micro pocket which requires daily sweeping. • Micro pocket with very less HH’s density (e.g. MP-18) shall be only serviced using a auto tipper or tractor
  46. 46. Existing wards and New Micro- Pockets Existing Wards New Micro-pockets
  47. 47. Route Demarcation Route selection for door to door waste collector Plan A
  48. 48. Route Demarcation Method followed to demarcate route for door to door waste collector in a micro- pocket (MP) • Preparation of Road dataset (Major road, Minor road, streets) of Devanahalli town in ArcGIS Software. • Error detection and rectification of roads (for overlapping or dangles in road dataset) with help of Topology extension in ArcGIS software. • After observing the average speed (across 7 surveyed sanitary workers) of the solid waste worker carrying pushcart, the average of seven such workers was considered and based on that we derived the time in seconds for each road length. • First we identify the existing collection points where pushcarts travelled. • To optimize the route, we have followed the Travelling Salesman’s Problem (TSP) method. We retain the collection points as explained above but re-order the stops, based on the time criterion. The re-ordering of the stops and route optimization is done by the network analyst option within Arc GIS. • By following this process, we get most optimum route based on the total time taken and number of households covered during the waste collection from the collection points.
  49. 49. Route Demarcation Application and results achieved through the TSP method discussed in previous slide • Shortest distance to cover maximum no. of households (i.e. up to 150 Door) with minimal overlapping of the route. • Road junctions/ intersections connecting all the roads, covering all the households were selected. Time was calculated and noted to cover all the households. In first attempt, for example the time taken to cover all the households was 3.5 Hours with a speed of 0.336 meter/ seconds. • 0.336 meter/ second is the average speed noted across 7 door to door waste collectors in different routes during the field level push cart route mapping exercise. • After the first attempt of Route mapping, the new route was run through GIS software using Travelling Sales Man (TSP) method for determining shortest possible route with minimum time to cover all the HH’s. After successful running through software, the new time shown for the same route was 1:17 hour which was earlier shown as 3.5 Hours. (Analysis shown in next slide).
  50. 50. Route Demarcation Initial route selection Route after running through TSP
  51. 51. Electric collection vehicle with IoT system Plan B
  52. 52. Collection of segregated waste on electric vehicles with IoT system • Each vehicle caters to the collection of a pocket of 1000 households, with 3 people on-board. • The installed solar panel makes up for the charge required for operations, however manual charging can be done. • IoT system allows monitoring of all the workers and the weights of the waste at gate level at the same time. • No nuisance points; delivery to designated processing facilities. • Uses existing manpower of 21 for door-to door collection. • Electric vehicles minimize the fuel consumption as well as pollution. • Charging costs Rs.900 per month vs Rs.3900 per month Plan B: Electric vehicles + IoT system Cover 1000 Households Reuse Landfill (for inert rejects)
  53. 53. Processing Facilities
  54. 54. Processing Facilities 2 Processing Facilities • 10 MT Composting Facility o 4-5 workforce o Plan A & B: receives waste everyday o Capital Cost: 51.12 Lakhs • 5MT Material Recovery Facility o 5 workforce o Plan A: receives waste everyday o Plan B: receives dry waste once a week o Capital Cost: 96.12 Lakhs
  55. 55. Resolutions for Enabling Environment Resolution for change in SWM process: • Waste to be stored in 3 bin system • Plan A: Only wet and domestic hazardous waste will be collected on daily basis by Municipality Domestic dry waste will be collected once in 7 days. • Plan B: All 3 categories of waste will be collected everyday , into segregated bins. • Composting of all the organic waste, upgrading the existing composting capacity of the town. • Municipality has to fix buying rates of dry recyclable material. Based on these rates the dry waste will be bought from residents.
  56. 56. Composite Plan 3 days 4 units
  57. 57. Composite Plan Generation Collection Conveyance Processing Disposal/ReUSe Replacement Bins Micro-pockets Electric vehicles for gate-level collection Plan-A Plan-B 10 MT composting facility utilizing the existing potential 4 MT dry waste recovery facility formalizing the kabadiwalas 7 days: Wet waste 2 days: Dry waste 7 days: Wet waste & Dry waste
  58. 58. Composite Plan Performance Indicators Existing Model Plan A Plan B MSW Rules Compliance Guarantee Low Medium High Livelihood well being Low Medium High Operation and Maintenance Medium Medium Low Meeting Service level Benchmarks Low Medium High Monitoring and Accountability Low (Manual Monitoring) Low (Manual Monitoring) High (Automated Monitoring) Environmental Impacts High Medium Low Resource Recovery Low High High
  59. 59. Thank YOU For queries and follow up: My contact details are: Mobile No: +91 9886479008 E-mail ID: avinash.percapita@gmail.com avinash.kumar@nium.org.in

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