Analysis Of Waste Analysis Of Waste Management Policies In India - - PowerPoint PPT Presentation

analysis of waste analysis of waste management policies
SMART_READER_LITE
LIVE PREVIEW

Analysis Of Waste Analysis Of Waste Management Policies In India - - PowerPoint PPT Presentation

Analysis Of Waste Analysis Of Waste Management Policies In India Management Policies In India Application of AIM/Material to India Application of AIM/Material to India Ashish Rana Ashish Rana NIES NIES The 7 th International AIM Workshop,


slide-1
SLIDE 1

Analysis Of Waste Analysis Of Waste Management Policies In India Management Policies In India

Application of AIM/Material to India Application of AIM/Material to India

Ashish Rana Ashish Rana

NIES NIES

The 7th International AIM Workshop, Tsukuba, March 15-17, 2002

slide-2
SLIDE 2

Solid wastes problem in India Solid wastes problem in India

  • As visible as water pollution, air quality in cities

As visible as water pollution, air quality in cities

  • Management and safe disposal

Management and safe disposal

  • Generation is higher than collection

Generation is higher than collection

City Solid wastes (Tons/day) Generated Collected Bombay 3200 3100 Madras 1819 1637 Bangalore 1800 1225 Ahmedabad 1200 1080 Kanpur 2142 1500 Pune 1000 700 Lucknow 600 500

slide-3
SLIDE 3

Types of solid wastes Types of solid wastes

  • Rural

Rural

  • Chiefly organic, animal waste

Chiefly organic, animal waste

  • Municipal

Municipal

  • From households

From households

  • Industrial

Industrial

  • Rural wastes handled adequately by traditional

Rural wastes handled adequately by traditional methods with little technological inputs methods with little technological inputs

slide-4
SLIDE 4

Quantity and nature of waste Quantity and nature of waste

  • Per capita waste generation

Per capita waste generation – – 300 to 600 grams 300 to 600 grams per day per day

  • Characteristics

Characteristics

  • Low Calorific value

Low Calorific value

  • High Moisture content

High Moisture content

  • High proportion of organic matter

High proportion of organic matter

  • Lower recyclable content such as paper, plastics,

Lower recyclable content such as paper, plastics, metals. metals.

slide-5
SLIDE 5

Composition of MSW Composition of MSW

Composition Percentage Biodegradable 52% Metals Scrap, Rubber, Textiles, Leather etc 11% Stones and Rubbles 8% Fine Earth and Sand 23% Plastics 1% Paper and Paper Products 5%

slide-6
SLIDE 6

Industrial wastes Industrial wastes

  • Inadequate data

Inadequate data

  • Availability

Availability

  • Quality

Quality

  • Estimation: waste per unit of production

Estimation: waste per unit of production

  • Technology differences? (Paper industry example)

Technology differences? (Paper industry example)

  • Hazardous waste

Hazardous waste -

  • more attention

more attention

Wood-based

  • Agri. Residue

Wastepaper Wastewater (kg/Ton of output) BOD 65 176 20 COD 246 741 70 TSS 168 160 60 Solid Waste (ton/ton of output) 1.5 - 2.0 0.15 - 0.2

slide-7
SLIDE 7

Hazardous waste Hazardous waste

  • High priority

High priority

  • Discharge without checks

Discharge without checks

  • Trade/Illegal dumping from developed nations

Trade/Illegal dumping from developed nations

  • High

High-

  • powered Committee Report 2000

powered Committee Report 2000

  • Civil society (NGOs like Greenpeace) action

Civil society (NGOs like Greenpeace) action

  • Estimated annual generation around 4.5 Million

Estimated annual generation around 4.5 Million tons plus around 0.1 Million tons of imports tons plus around 0.1 Million tons of imports

slide-8
SLIDE 8

E nvironment industry E nvironment industry

  • Currently estimated at $2 Billion and expected to

Currently estimated at $2 Billion and expected to grow to $7 Billion by 2010 (CII estimate) grow to $7 Billion by 2010 (CII estimate)

Total Market Local Production Coal 50.9 20 Textiles 39 29 Paper and Pulp 88 46 Power1 9.45 5.95

Environment control equipment market for some sectors 1998 (Million Dollars) 1 Only Environment monitoring equipment

slide-9
SLIDE 9

Recycling Recycling

  • Recycling from households

Recycling from households

  • Old tradition

Old tradition

  • Recycling from industries

Recycling from industries

  • Chiefly done through

Chiefly done through ‘ ‘Informal sector Informal sector’ ’

  • Absence of organized data

Absence of organized data

  • Informal sector

Informal sector

  • Rag picker/Itinerant Buyer

Rag picker/Itinerant Buyer

  • Long chain of intermediaries

Long chain of intermediaries – – waste dealers, wholesalers, waste dealers, wholesalers,

  • Small recycling units or industries

Small recycling units or industries

  • Plastics recycling ~ 60%

Plastics recycling ~ 60%

  • Paper recycling

Paper recycling -

  • ~15

~15-

  • 20%

20%

slide-10
SLIDE 10

AIM/ Material application AIM/ Material application

  • 26 Sectors (24 Commodities)

26 Sectors (24 Commodities)

  • 15 Waste types

15 Waste types

  • Emphasis on solid wastes

Emphasis on solid wastes

  • Separate treatment of hazardous waste

Separate treatment of hazardous waste

  • Recycling

Recycling

slide-11
SLIDE 11

Model schematic Model schematic

Household Market Production Waste Toxic Non-toxic

Waste Management Waste Management Recycling Recycling Intermediate Management Intermediate Management Disposal Disposal capital labor energy input for pollution management

  • ther intermediate

input Environmental Industry

Emission rights Resource inputs Investment

CO2 final disposal final disposal

Resource inputs Environment Investment

slide-12
SLIDE 12 PTG UTL House- hold ACT(V) production PK PL PP(V,P) PM(H,V) PENE(V,”pro”) PY(U) IWM(WNT,WMW) industrial waste management Activity For Non-toxic PX(H) PM(H,”iwm”) PENE(“iwm”,”pro”) PP(“iwm”,P) PEK(“w_i”) PL PK PZ PIW(WNT,WMW) PXE(EN) IWM(WT,WMW) industrial waste management Activity For toxic PX(H) PM(H,”iwm”) PENE(“iwm”,”pro”) PP(“iwm”,P) PEK(“w_i”) PL PK PZT PIW(WT,WMW) PXE(EN) IWS(W,WMW) PWIX(W) IWG(J) PW(J,”w_i”) EXD(U) ABR PEX(U) PDM(U) PIM(I) MRPE(J,P) discharge into env. PEV(P) PP(J,P) MRPW(J,S) PP(J,S) PW(J,S) PK PL PEK(P) PZ PCARB PEV(P) PDM(U) INV(U) PDM(U) PX(U) PIM(U) PINV(U) CAPF PCAP INFR(IVP) PSI(IVP) ECPF1(P) ECPF2 (P) PECP(P) PGI(U) GI(U) PDM(U) PX(U) PIM(U) CON(I) PDM(U) PX(I) PIM(I) PC(I) HOUSE PCON PENEH IOM(H,J) PDM(H) PIM(H) PM(H,J) PX(H) EAGG1(EN) EAGG2(EN) EAGG3(EN) PE(EN) PDM(EN) PIM(EN) PXE(EN) CEM(EN,J,D) CEMH(EN) PEC(EN,J,D) PECH(EN) PCARB PCARB EAH EAG(J,D) PENE(J,D) PENEH GWS PWM(W) PGW HWS PWM(W) PDM(“mwm”) PDM(“mwm”) PE(EN) PE(EN) PE(EN) PE(EN) PCAP PSI(IVP) PECP(P) PGI(U) PTG PCON PDM(U) PIM(U) PGW PE(EN)

Flow of goods see “commodities” in the model Activity see “sectors” in the model

RED(J,P) pollutant self management PA(P) PX(H) PXE(EN) PM(H,J) PENE(J,P) PZ PEK(P) PL MRPA(J,P) self management PP(J,P) MWM(W,WMW) Municipal waste management activity PM(H,”mwm”) PENE(“mwm”,”pro”) PP(“mwm”,P) PEK(“w_m”) PL PK PZ PX(H) PMW(W,WMW) PXE(EN) MWS(W,WMW) PWMX(W) MWG(J) PW(J,”w_m”) PZT PTG UTL House- hold ACT(V) production PK PL PP(V,P) PM(H,V) PENE(V,”pro”) PY(U) IWM(WNT,WMW) industrial waste management Activity For Non-toxic PX(H) PM(H,”iwm”) PENE(“iwm”,”pro”) PP(“iwm”,P) PEK(“w_i”) PL PK PZ PIW(WNT,WMW) PXE(EN) IWM(WT,WMW) industrial waste management Activity For toxic PX(H) PM(H,”iwm”) PENE(“iwm”,”pro”) PP(“iwm”,P) PEK(“w_i”) PL PK PZT PIW(WT,WMW) PXE(EN) IWS(W,WMW) PWIX(W) IWG(J) PW(J,”w_i”) EXD(U) ABR PEX(U) PDM(U) PIM(I) MRPE(J,P) discharge into env. PEV(P) PP(J,P) MRPW(J,S) PP(J,S) PW(J,S) PK PL PEK(P) PZ PCARB PEV(P) PDM(U) INV(U) PDM(U) PX(U) PIM(U) PINV(U) CAPF PCAP INFR(IVP) PSI(IVP) ECPF1(P) ECPF2 (P) PECP(P) PGI(U) GI(U) PDM(U) PX(U) PIM(U) CON(I) PDM(U) PX(I) PIM(I) PC(I) HOUSE PCON PENEH IOM(H,J) PDM(H) PIM(H) PM(H,J) PX(H) EAGG1(EN) EAGG2(EN) EAGG3(EN) PE(EN) PDM(EN) PIM(EN) PXE(EN) CEM(EN,J,D) CEMH(EN) PEC(EN,J,D) PECH(EN) PCARB PCARB EAH EAG(J,D) PENE(J,D) PENEH GWS PWM(W) PGW HWS PWM(W) PDM(“mwm”) PDM(“mwm”) PE(EN) PE(EN) PE(EN) PE(EN) PCAP PSI(IVP) PECP(P) PGI(U) PTG PCON PDM(U) PIM(U) PGW PE(EN)

Flow of goods see “commodities” in the model Activity see “sectors” in the model

RED(J,P) pollutant self management PA(P) PX(H) PXE(EN) PM(H,J) PENE(J,P) PZ PEK(P) PL MRPA(J,P) self management PP(J,P) MWM(W,WMW) Municipal waste management activity PM(H,”mwm”) PENE(“mwm”,”pro”) PP(“mwm”,P) PEK(“w_m”) PL PK PZ PX(H) PMW(W,WMW) PXE(EN) MWS(W,WMW) PWMX(W) MWG(J) PW(J,”w_m”) PZT
slide-13
SLIDE 13

Sectors Sectors

AGR Agriculture, Forestry, Fishing WTR Water Supply MIN Mining SRV Services FOD Food MWM Municipal Waste Management TEX Textiles IWM Industrial Waste Management PLP Paper and pulp EMC Environment Industry CHM Chemicals GOV Government service NMM Non-metallic minerals COL Coal BMT Basic Metals OIL Oil FMT Fabricated Metals GAS Gas MCH Machinery HYD+ Hydro Power ELM Electrical machinery THE+ Thermal Power TRE Transport equipment NUC+ Nuclear Power OTH Other manufacturing ELE* Electricity CNS Construction

+ Only Sector

* Only Commodity

slide-14
SLIDE 14

Waste categories Waste categories

Industrial Wastes WCT Construction Waste ID Description DST Dust ASH Ash WZZ Other waste SLD Sludge WWT Toxic Waste WOL Waste Oil Municipal Wastes WPL Waste Plastic ID Description WPP Waste Paper WPL Waste Plastic WWD Waste Wood WPP Waste Paper WTX Waste Textile WTX Waste Textile WAP Animal and Plant Waste WAP Animal and Plant Waste SCM Scrap Metal SCM Scrap Metal WGC Waste Glass WGC Waste Glass SLG Slag WZZ Other waste Industrial Wastes WCT Construction Waste ID Description DST Dust ASH Ash WZZ Other waste SLD Sludge WWT Toxic Waste WOL Waste Oil Municipal Wastes WPL Waste Plastic ID Description WPP Waste Paper WPL Waste Plastic WWD Waste Wood WPP Waste Paper WTX Waste Textile WTX Waste Textile WAP Animal and Plant Waste WAP Animal and Plant Waste SCM Scrap Metal SCM Scrap Metal WGC Waste Glass WGC Waste Glass SLG Slag WZZ Other waste

slide-15
SLIDE 15

Waste to goods Waste to goods

AGR TEX PLP CHM BMT OTH NMM FMT ASH SLD WOL WPL WPP WWD WTX WAP SCM WGC SLG WCT DST WZZ WWT

slide-16
SLIDE 16

Scenarios Scenarios

  • Scenario 1

Scenario 1

  • Reference scenario

Reference scenario – – no interventions no interventions

  • Scenario 2

Scenario 2

  • Toxic Constraint Scenario

Toxic Constraint Scenario – – limit the discharge of limit the discharge of toxic wastes. toxic wastes.

  • Scenario 3

Scenario 3

  • Countermeasures

Countermeasures – – environmental investment with environmental investment with waste management efficiency improvement waste management efficiency improvement

slide-17
SLIDE 17

Results Results

  • Still preliminary and only indicative

Still preliminary and only indicative

  • Demonstrate what we can do with this model

Demonstrate what we can do with this model when applied to India even with limited data when applied to India even with limited data availability availability

slide-18
SLIDE 18

Results Results – – Reference Case Reference Case

  • GDP growth of 5.85% for the period 1994

GDP growth of 5.85% for the period 1994-

  • 2010

2010

  • Total waste generation grows at 4.9%

Total waste generation grows at 4.9%

  • Growth in disposal of non

Growth in disposal of non-

  • toxic waste is 3.5%

toxic waste is 3.5%

  • Growth in disposal of toxic waste is 3%

Growth in disposal of toxic waste is 3%

  • Waste management service sectors (IWM and

Waste management service sectors (IWM and MWM) growth rate is 5% while Environment MWM) growth rate is 5% while Environment Industry grows at 6.28%. Industry grows at 6.28%.

slide-19
SLIDE 19

Results Results -

  • Policy

Policy

20 40 60 80 100 120 2007 2008 2009 2010 Year Million Dollars scen2 scen3

GDP Loss over reference scenario

0.015% 0.007% 0.022% 0.018%

slide-20
SLIDE 20

Results Results -

  • Policy

Policy

Economic sectors - change in output (2010) over reference scenario

99.6 99.7 99.8 99.9 100 100.1 100.2 100.3 100.4 100.5 100.6 MIN PLP CHM NMM BMT ELM Scen2 Scen3

slide-21
SLIDE 21

Results Results -

  • Policy

Policy

0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 EMC MWM IWM Scen2 Scen3

Environment sectors - change in output (2010) over reference scenario

slide-22
SLIDE 22

Results Results -

  • Policy

Policy

Reduction in cost of toxic disposal in Scenario 3 over Scenario 2

0% 5% 10% 15% 20% 25% 30% 2007 2008 2009 2010 Percent

slide-23
SLIDE 23

Concluding remarks Concluding remarks

  • Environmental interventions

Environmental interventions – – ‘ ‘No Regret No Regret’ ’

  • Future tasks:

Future tasks:

  • Improvement of database

Improvement of database

  • CO2 mitigation

CO2 mitigation

  • Include Sewage sector

Include Sewage sector

  • Include Water pollution, Air pollution

Include Water pollution, Air pollution

slide-24
SLIDE 24
slide-25
SLIDE 25

Thank you Thank you