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Multi-criteria analysis for the identification of waste
disposal areas
Presentation byEri Kudo and Olivier Mills
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Identification of waste disposal areas
• For centuries unconcerned about waste
• Industrial revolution Exponential increase in volume
• Today, one of the most crucial problems faced by urban centres is WHERE to dispose of it
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Case study : Brazil - Disposing of marble and granite
• Marble and Granite Industry large volumes of waste (up to 25% of rock in form of sludge)
• Discarded by tanks in ponds or rivers
• Silting (surface water), increase hardness, increased Aluminium (groundwater)
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Waste disposal area identificationMulti-criteria analysis : Method
1) Define criteria (factors and and restrictions)
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CriteriaFactors(degree of aptness)
Restrictions(apt, inapt)
EnvironmentalHydrography, flaws, pedology, geology, geomorphology
Hydrography, geological, +200m buffer
OperationalRoads system Declinivity (allowed
interval from 1% to 30%)
Socio-economicUrban zone, districts, farms
Urban zone, districts, farms, + 500m buffer
Waste disposal area identification - Method
1) Define criteria, factors and restrictions
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Waste disposal area identification
Urban perimeter
Hillshading
Hydrography
Hillshading, hydrography and urban perimeter
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Waste disposal area identification
Urban perimeter
Farm
District
Urban perimeter, Farms,district and road system
Road system
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Waste disposal area identificationMulti-criteria analysis : Method
1) Define criteria (restrictions and factors)
2) Standardize (normalize to same scale)
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Waste disposal area identification
Geologic Map
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Waste disposal area identification
Pedologic Map
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Waste disposal area identificationMulti-criteria analysis : Method
1) Define criteria (restrictions and factors)
2) Standardize (normalize to same scale)
3) Weight factors and criteria
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Waste disposal area identification - Method
3) Factor Weighting
Hydrography Geological
fl aw Pedology GeomorphologyEnvironmental
Operational
Urban Zone Disctricts Farms
0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1
Socio-economic
Geo
log
y
Road system
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Waste disposal area identification - Method
3) Criteria weighting
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Waste disposal area identificationMulti-criteria analysis : Method
1) Define criteria (restrictions and factors)
2) Standardize (normalize to same scale)
3) Weight factors and criteria
4) Aggregate (put together)
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Waste disposal area identification – Aggregation and output
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Waste disposal area identification – Aggregation and output
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Waste disposal area identification – Conclusion
ADVANTAGES
- Low cost (GIS) - Model multiple scenarios (high risk, low risk)- Graphical representation of options- Dynamic (GIS data)
DISADVANTAGES
- Careful choice of criteria and weighting functions- Coherence with reality- Doesn’t consider whole life of disposal site (time factor)
GIS + Multi-criteria analysis